Artificial Intelligence for Digitising Industry – Applications
This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin t...
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| Autor*in: |
Vermesan, Ovidiu [herausgeberIn] |
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| Format: |
E-Book |
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| Sprache: |
Englisch |
| Erschienen: |
Erscheinungsort nicht ermittelbar: Taylor & Francis ; 2021 |
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| Rechteinformationen: |
Open Access Namensnennung - Nicht-kommerziell 4.0 International ; CC BY-NC 4.0 |
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| Schlagwörter: |
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| Umfang: |
1 Online-Ressource (430 p.) |
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| Links: | |
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| ISBN: |
978-1-003-33723-2 978-1-000-79431-1 978-87-7022-664-6 |
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1905038224 |
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| 520 | |a This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI project, including an overview of industrial use cases, research, technological innovation, validation, and deployment. This book’s sections build on the research, development, and innovative ideas elaborated for applications in five industries: automotive, semiconductor, industrial machinery, food and beverage, and transportation. The articles included under each of these five industrial sectors discuss AI-based methods, techniques, models, algorithms, and supporting technologies, such as IIoT, edge computing, digital twins, collaborative robots, silicon-born AI circuit concepts, neuromorphic architectures, and augmented intelligence, that are anticipating the development of Industry 5.0. Automotive applications cover use cases addressing AI-based solutions for inbound logistics and assembly process optimisation, autonomous reconfigurable battery systems, virtual AI training platforms for robot learning, autonomous mobile robotic agents, and predictive maintenance for machines on the level of a digital twin. AI-based technologies and applications in the semiconductor manufacturing industry address use cases related to AI-based failure modes and effects analysis assistants, neural networks for predicting critical 3D dimensions in MEMS inertial sensors, machine vision systems developed in the wafer inspection production line, semiconductor wafer fault classifications, automatic inspection of scanning electron microscope cross-section images for technology verification, anomaly detection on wire bond process trace data, and optical inspection. The use cases presented for machinery and industrial equipment industry applications cover topics related to wood machinery, with the perception of the surrounding environment and intelligent robot applications. AI, IIoT, and robotics solutions are highlighted for the food and beverage industry, presenting use cases addressing novel AI-based environmental monitoring; autonomous environment-aware, quality control systems for Champagne production; and production process optimisation and predictive maintenance for soybeans manufacturing. For the transportation sector, the use cases presented cover the mobility-as-a-service development of AI-based fleet management for supporting multimodal transport. This book highlights the significant technological challenges that AI application developments in industrial sectors are facing, presenting several research challenges and open issues that should guide future development for evolution towards an environment-friendly Industry 5.0. The challenges presented for AI-based applications in industrial environments include issues related to complexity, multidisciplinary and heterogeneity, convergence of AI with other technologies, energy consumption and efficiency, knowledge acquisition, reasoning with limited data, fusion of heterogeneous data, availability of reliable data sets, verification, validation, and testing for decision-making processes | ||
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9781003337232 978-1-003-33723-2 9781000794311 978-1-000-79431-1 9788770226646 978-87-7022-664-6 (DE-627)1905038224 (DE-599)KEP10847299X (OAPEN)59761 (EBP)10847299X DE-627 ger DE-627 rda eng MBP bicssc PHDY bicssc TJK bicssc Artificial Intelligence for Digitising Industry – Applications [Erscheinungsort nicht ermittelbar] Taylor & Francis 2021 1 Online-Ressource (430 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Open Access Unrestricted online access star This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI project, including an overview of industrial use cases, research, technological innovation, validation, and deployment. This book’s sections build on the research, development, and innovative ideas elaborated for applications in five industries: automotive, semiconductor, industrial machinery, food and beverage, and transportation. The articles included under each of these five industrial sectors discuss AI-based methods, techniques, models, algorithms, and supporting technologies, such as IIoT, edge computing, digital twins, collaborative robots, silicon-born AI circuit concepts, neuromorphic architectures, and augmented intelligence, that are anticipating the development of Industry 5.0. Automotive applications cover use cases addressing AI-based solutions for inbound logistics and assembly process optimisation, autonomous reconfigurable battery systems, virtual AI training platforms for robot learning, autonomous mobile robotic agents, and predictive maintenance for machines on the level of a digital twin. AI-based technologies and applications in the semiconductor manufacturing industry address use cases related to AI-based failure modes and effects analysis assistants, neural networks for predicting critical 3D dimensions in MEMS inertial sensors, machine vision systems developed in the wafer inspection production line, semiconductor wafer fault classifications, automatic inspection of scanning electron microscope cross-section images for technology verification, anomaly detection on wire bond process trace data, and optical inspection. The use cases presented for machinery and industrial equipment industry applications cover topics related to wood machinery, with the perception of the surrounding environment and intelligent robot applications. AI, IIoT, and robotics solutions are highlighted for the food and beverage industry, presenting use cases addressing novel AI-based environmental monitoring; autonomous environment-aware, quality control systems for Champagne production; and production process optimisation and predictive maintenance for soybeans manufacturing. For the transportation sector, the use cases presented cover the mobility-as-a-service development of AI-based fleet management for supporting multimodal transport. This book highlights the significant technological challenges that AI application developments in industrial sectors are facing, presenting several research challenges and open issues that should guide future development for evolution towards an environment-friendly Industry 5.0. The challenges presented for AI-based applications in industrial environments include issues related to complexity, multidisciplinary and heterogeneity, convergence of AI with other technologies, energy consumption and efficiency, knowledge acquisition, reasoning with limited data, fusion of heterogeneous data, availability of reliable data sets, verification, validation, and testing for decision-making processes Namensnennung - Nicht-kommerziell 4.0 International CC BY-NC 4.0 cc https://creativecommons.org/licenses/by-nc/4.0/ English Health systems and services Energy Communications engineering / telecommunications Vermesan, Ovidiu herausgeberin edt https://library.oapen.org/bitstream/id/482c32f4-32d5-4ac4-aab8-8d84ed9aa02b/9781000794311.pdf X:OAPEN Verlag kostenfrei https://library.oapen.org/handle/20.500.12657/59761 X:OAPEN Verlag kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 BO 22 01 0018 4606259760 OLR-ZDB-94-OAL OAPEN Library zu 29-10-24 23 01 0830 4606765453 OLR-OAPEN f z 29-10-24 30 01 0104 4607098175 GBV-OAPEN z 29-10-24 31 01 0027 4606426020 z 29-10-24 34 01 3551 460474694X OLR-OAPEN zi002 28-10-24 39 01 0547 4607264342 GBV-OAPEN ke 29-10-24 40 01 0007 4606093498 OLR-OAPEN xsn 29-10-24 63 01 3401 4607600180 E-Books LF GBV-OAPEN z 29-10-24 65 01 0003 4607766771 OLR-OAPEN z 29-10-24 70 01 0089 4606599138 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 29-10-24 72 01 0035 4604508372 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 28-10-24 95 01 3095 4605002189 OLR-OAL Vervielfältigungen (z.B. 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9781003337232 978-1-003-33723-2 9781000794311 978-1-000-79431-1 9788770226646 978-87-7022-664-6 (DE-627)1905038224 (DE-599)KEP10847299X (OAPEN)59761 (EBP)10847299X DE-627 ger DE-627 rda eng MBP bicssc PHDY bicssc TJK bicssc Artificial Intelligence for Digitising Industry – Applications [Erscheinungsort nicht ermittelbar] Taylor & Francis 2021 1 Online-Ressource (430 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Open Access Unrestricted online access star This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI project, including an overview of industrial use cases, research, technological innovation, validation, and deployment. This book’s sections build on the research, development, and innovative ideas elaborated for applications in five industries: automotive, semiconductor, industrial machinery, food and beverage, and transportation. The articles included under each of these five industrial sectors discuss AI-based methods, techniques, models, algorithms, and supporting technologies, such as IIoT, edge computing, digital twins, collaborative robots, silicon-born AI circuit concepts, neuromorphic architectures, and augmented intelligence, that are anticipating the development of Industry 5.0. Automotive applications cover use cases addressing AI-based solutions for inbound logistics and assembly process optimisation, autonomous reconfigurable battery systems, virtual AI training platforms for robot learning, autonomous mobile robotic agents, and predictive maintenance for machines on the level of a digital twin. AI-based technologies and applications in the semiconductor manufacturing industry address use cases related to AI-based failure modes and effects analysis assistants, neural networks for predicting critical 3D dimensions in MEMS inertial sensors, machine vision systems developed in the wafer inspection production line, semiconductor wafer fault classifications, automatic inspection of scanning electron microscope cross-section images for technology verification, anomaly detection on wire bond process trace data, and optical inspection. The use cases presented for machinery and industrial equipment industry applications cover topics related to wood machinery, with the perception of the surrounding environment and intelligent robot applications. AI, IIoT, and robotics solutions are highlighted for the food and beverage industry, presenting use cases addressing novel AI-based environmental monitoring; autonomous environment-aware, quality control systems for Champagne production; and production process optimisation and predictive maintenance for soybeans manufacturing. For the transportation sector, the use cases presented cover the mobility-as-a-service development of AI-based fleet management for supporting multimodal transport. This book highlights the significant technological challenges that AI application developments in industrial sectors are facing, presenting several research challenges and open issues that should guide future development for evolution towards an environment-friendly Industry 5.0. The challenges presented for AI-based applications in industrial environments include issues related to complexity, multidisciplinary and heterogeneity, convergence of AI with other technologies, energy consumption and efficiency, knowledge acquisition, reasoning with limited data, fusion of heterogeneous data, availability of reliable data sets, verification, validation, and testing for decision-making processes Namensnennung - Nicht-kommerziell 4.0 International CC BY-NC 4.0 cc https://creativecommons.org/licenses/by-nc/4.0/ English Health systems and services Energy Communications engineering / telecommunications Vermesan, Ovidiu herausgeberin edt https://library.oapen.org/bitstream/id/482c32f4-32d5-4ac4-aab8-8d84ed9aa02b/9781000794311.pdf X:OAPEN Verlag kostenfrei https://library.oapen.org/handle/20.500.12657/59761 X:OAPEN Verlag kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 BO 22 01 0018 4606259760 OLR-ZDB-94-OAL OAPEN Library zu 29-10-24 23 01 0830 4606765453 OLR-OAPEN f z 29-10-24 30 01 0104 4607098175 GBV-OAPEN z 29-10-24 31 01 0027 4606426020 z 29-10-24 34 01 3551 460474694X OLR-OAPEN zi002 28-10-24 39 01 0547 4607264342 GBV-OAPEN ke 29-10-24 40 01 0007 4606093498 OLR-OAPEN xsn 29-10-24 63 01 3401 4607600180 E-Books LF GBV-OAPEN z 29-10-24 65 01 0003 4607766771 OLR-OAPEN z 29-10-24 70 01 0089 4606599138 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 29-10-24 72 01 0035 4604508372 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 28-10-24 95 01 3095 4605002189 OLR-OAL Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 29-10-24 110 01 3110 4607430595 OLR-GBV-OAPEN Open Access z 29-10-24 136 01 3526 4605761039 OLR-OAPEN z 29-10-24 147 01 3528 4607934380 OLR-OAPEN frei verfügbar für Europa-Universität Flensburg, Hochschule Flensburg und Zentrale Hochschulbibliothek Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 29-10-24 161 01 0960 4603953615 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-10-24 187 01 3520 4604319502 JSTOR Open Access eBook z 28-10-24 213 01 0551 4605428607 OLR-OAPEN OAPEN Online Library Open Access eBook z 29-10-24 230 01 0552 4605594752 OLR-OAPEN OAPEN Online Library Open Access eBook z 29-10-24 283 01 3283 4605927298 OLR-OAL z 29-10-24 293 01 3293 4604132151 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-10-24 370 01 4370 4605262385 OLR-FREE Kostenloser Zugriff z 29-10-24 603 01 4603 460378581X OLR-OAPEN Bitte beachten Sie die Nutzungsbedingungen und Copyright-Bestimmungen des Verlages/Herausgebers. z 28-10-24 808 01 4808 4606931744 OLR-OAPEN OAPEN Library zg 29-10-24 22 01 0018 Volltextzugang https://library.oapen.org/handle/20.500.12657/59761 23 01 0830 https://library.oapen.org/handle/20.500.12657/59761 30 01 0104 Open Access https://library.oapen.org/handle/20.500.12657/59761 31 01 0027 eBook GBV-OAPEN https://library.oapen.org/handle/20.500.12657/59761 34 01 3551 OpenAccess https://library.oapen.org/handle/20.500.12657/59761 40 01 0007 Volltext, Open Access https://library.oapen.org/handle/20.500.12657/59761 63 01 3401 E-Book https://library.oapen.org/handle/20.500.12657/59761 65 01 0003 Open Access https://library.oapen.org/handle/20.500.12657/59761 65 01 0003 Dieser Titel ist Teil einer Datenbank http://www.bibliothek.uni-regensburg.de/dbinfo/detail.php?titel_id=10728&bib_id=ulb_hal 70 01 0089 https://library.oapen.org/handle/20.500.12657/59761 LF 72 01 0035 https://library.oapen.org/handle/20.500.12657/59761 95 01 3095 https://library.oapen.org/handle/20.500.12657/59761 110 01 3110 Open Access https://library.oapen.org/handle/20.500.12657/59761 136 01 3526 Open Access https://library.oapen.org/handle/20.500.12657/59761 147 01 3528 https://library.oapen.org/handle/20.500.12657/59761 161 01 0960 https://library.oapen.org/handle/20.500.12657/59761 LF 187 01 3520 https://library.oapen.org/handle/20.500.12657/59761 213 01 0551 https://library.oapen.org/handle/20.500.12657/59761 230 01 0552 https://library.oapen.org/handle/20.500.12657/59761 283 01 3283 https://library.oapen.org/handle/20.500.12657/59761 293 01 3293 https://library.oapen.org/handle/20.500.12657/59761 LF 370 01 4370 https://library.oapen.org/handle/20.500.12657/59761 603 01 4603 https://library.oapen.org/handle/20.500.12657/59761 808 01 4808 Volltextzugang https://library.oapen.org/handle/20.500.12657/59761 31 01 0027 00 eBook GBV-OAPEN 22 01 0018 OLR-ZDB-94-OAL 23 01 0830 OLR-OAPEN 30 01 0104 GBV-OAPEN 34 01 3551 OLR-OAPEN 39 01 0547 GBV-OAPEN 39 01 0547 LF 40 01 0007 OLR-OAPEN 63 01 3401 E-Books LF GBV-OAPEN 65 01 0003 OLR-OAPEN 70 01 0089 OLR-OAPEN-OA 72 01 0035 OLR-OAPEN-OA 95 01 3095 OLR-OAL 110 01 3110 OLR-GBV-OAPEN 136 01 3526 OLR-OAPEN 147 01 3528 OLR-OAPEN 161 01 0960 OLR-OAPEN 213 01 0551 OLR-OAPEN 230 01 0552 OLR-OAPEN 283 01 3283 OLR-OAL 293 01 3293 OLR-OAPEN 370 01 4370 OLR-FREE 370 01 4370 olr-ebook GBV-OAPEN 603 01 4603 OLR-OAPEN 808 01 4808 OLR-OAPEN |
| allfields_unstemmed |
9781003337232 978-1-003-33723-2 9781000794311 978-1-000-79431-1 9788770226646 978-87-7022-664-6 (DE-627)1905038224 (DE-599)KEP10847299X (OAPEN)59761 (EBP)10847299X DE-627 ger DE-627 rda eng MBP bicssc PHDY bicssc TJK bicssc Artificial Intelligence for Digitising Industry – Applications [Erscheinungsort nicht ermittelbar] Taylor & Francis 2021 1 Online-Ressource (430 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Open Access Unrestricted online access star This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI project, including an overview of industrial use cases, research, technological innovation, validation, and deployment. This book’s sections build on the research, development, and innovative ideas elaborated for applications in five industries: automotive, semiconductor, industrial machinery, food and beverage, and transportation. The articles included under each of these five industrial sectors discuss AI-based methods, techniques, models, algorithms, and supporting technologies, such as IIoT, edge computing, digital twins, collaborative robots, silicon-born AI circuit concepts, neuromorphic architectures, and augmented intelligence, that are anticipating the development of Industry 5.0. Automotive applications cover use cases addressing AI-based solutions for inbound logistics and assembly process optimisation, autonomous reconfigurable battery systems, virtual AI training platforms for robot learning, autonomous mobile robotic agents, and predictive maintenance for machines on the level of a digital twin. AI-based technologies and applications in the semiconductor manufacturing industry address use cases related to AI-based failure modes and effects analysis assistants, neural networks for predicting critical 3D dimensions in MEMS inertial sensors, machine vision systems developed in the wafer inspection production line, semiconductor wafer fault classifications, automatic inspection of scanning electron microscope cross-section images for technology verification, anomaly detection on wire bond process trace data, and optical inspection. The use cases presented for machinery and industrial equipment industry applications cover topics related to wood machinery, with the perception of the surrounding environment and intelligent robot applications. AI, IIoT, and robotics solutions are highlighted for the food and beverage industry, presenting use cases addressing novel AI-based environmental monitoring; autonomous environment-aware, quality control systems for Champagne production; and production process optimisation and predictive maintenance for soybeans manufacturing. For the transportation sector, the use cases presented cover the mobility-as-a-service development of AI-based fleet management for supporting multimodal transport. This book highlights the significant technological challenges that AI application developments in industrial sectors are facing, presenting several research challenges and open issues that should guide future development for evolution towards an environment-friendly Industry 5.0. The challenges presented for AI-based applications in industrial environments include issues related to complexity, multidisciplinary and heterogeneity, convergence of AI with other technologies, energy consumption and efficiency, knowledge acquisition, reasoning with limited data, fusion of heterogeneous data, availability of reliable data sets, verification, validation, and testing for decision-making processes Namensnennung - Nicht-kommerziell 4.0 International CC BY-NC 4.0 cc https://creativecommons.org/licenses/by-nc/4.0/ English Health systems and services Energy Communications engineering / telecommunications Vermesan, Ovidiu herausgeberin edt https://library.oapen.org/bitstream/id/482c32f4-32d5-4ac4-aab8-8d84ed9aa02b/9781000794311.pdf X:OAPEN Verlag kostenfrei https://library.oapen.org/handle/20.500.12657/59761 X:OAPEN Verlag kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 BO 22 01 0018 4606259760 OLR-ZDB-94-OAL OAPEN Library zu 29-10-24 23 01 0830 4606765453 OLR-OAPEN f z 29-10-24 30 01 0104 4607098175 GBV-OAPEN z 29-10-24 31 01 0027 4606426020 z 29-10-24 34 01 3551 460474694X OLR-OAPEN zi002 28-10-24 39 01 0547 4607264342 GBV-OAPEN ke 29-10-24 40 01 0007 4606093498 OLR-OAPEN xsn 29-10-24 63 01 3401 4607600180 E-Books LF GBV-OAPEN z 29-10-24 65 01 0003 4607766771 OLR-OAPEN z 29-10-24 70 01 0089 4606599138 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 29-10-24 72 01 0035 4604508372 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 28-10-24 95 01 3095 4605002189 OLR-OAL Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 29-10-24 110 01 3110 4607430595 OLR-GBV-OAPEN Open Access z 29-10-24 136 01 3526 4605761039 OLR-OAPEN z 29-10-24 147 01 3528 4607934380 OLR-OAPEN frei verfügbar für Europa-Universität Flensburg, Hochschule Flensburg und Zentrale Hochschulbibliothek Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 29-10-24 161 01 0960 4603953615 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-10-24 187 01 3520 4604319502 JSTOR Open Access eBook z 28-10-24 213 01 0551 4605428607 OLR-OAPEN OAPEN Online Library Open Access eBook z 29-10-24 230 01 0552 4605594752 OLR-OAPEN OAPEN Online Library Open Access eBook z 29-10-24 283 01 3283 4605927298 OLR-OAL z 29-10-24 293 01 3293 4604132151 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-10-24 370 01 4370 4605262385 OLR-FREE Kostenloser Zugriff z 29-10-24 603 01 4603 460378581X OLR-OAPEN Bitte beachten Sie die Nutzungsbedingungen und Copyright-Bestimmungen des Verlages/Herausgebers. z 28-10-24 808 01 4808 4606931744 OLR-OAPEN OAPEN Library zg 29-10-24 22 01 0018 Volltextzugang https://library.oapen.org/handle/20.500.12657/59761 23 01 0830 https://library.oapen.org/handle/20.500.12657/59761 30 01 0104 Open Access https://library.oapen.org/handle/20.500.12657/59761 31 01 0027 eBook GBV-OAPEN https://library.oapen.org/handle/20.500.12657/59761 34 01 3551 OpenAccess https://library.oapen.org/handle/20.500.12657/59761 40 01 0007 Volltext, Open Access https://library.oapen.org/handle/20.500.12657/59761 63 01 3401 E-Book https://library.oapen.org/handle/20.500.12657/59761 65 01 0003 Open Access https://library.oapen.org/handle/20.500.12657/59761 65 01 0003 Dieser Titel ist Teil einer Datenbank http://www.bibliothek.uni-regensburg.de/dbinfo/detail.php?titel_id=10728&bib_id=ulb_hal 70 01 0089 https://library.oapen.org/handle/20.500.12657/59761 LF 72 01 0035 https://library.oapen.org/handle/20.500.12657/59761 95 01 3095 https://library.oapen.org/handle/20.500.12657/59761 110 01 3110 Open Access https://library.oapen.org/handle/20.500.12657/59761 136 01 3526 Open Access https://library.oapen.org/handle/20.500.12657/59761 147 01 3528 https://library.oapen.org/handle/20.500.12657/59761 161 01 0960 https://library.oapen.org/handle/20.500.12657/59761 LF 187 01 3520 https://library.oapen.org/handle/20.500.12657/59761 213 01 0551 https://library.oapen.org/handle/20.500.12657/59761 230 01 0552 https://library.oapen.org/handle/20.500.12657/59761 283 01 3283 https://library.oapen.org/handle/20.500.12657/59761 293 01 3293 https://library.oapen.org/handle/20.500.12657/59761 LF 370 01 4370 https://library.oapen.org/handle/20.500.12657/59761 603 01 4603 https://library.oapen.org/handle/20.500.12657/59761 808 01 4808 Volltextzugang https://library.oapen.org/handle/20.500.12657/59761 31 01 0027 00 eBook GBV-OAPEN 22 01 0018 OLR-ZDB-94-OAL 23 01 0830 OLR-OAPEN 30 01 0104 GBV-OAPEN 34 01 3551 OLR-OAPEN 39 01 0547 GBV-OAPEN 39 01 0547 LF 40 01 0007 OLR-OAPEN 63 01 3401 E-Books LF GBV-OAPEN 65 01 0003 OLR-OAPEN 70 01 0089 OLR-OAPEN-OA 72 01 0035 OLR-OAPEN-OA 95 01 3095 OLR-OAL 110 01 3110 OLR-GBV-OAPEN 136 01 3526 OLR-OAPEN 147 01 3528 OLR-OAPEN 161 01 0960 OLR-OAPEN 213 01 0551 OLR-OAPEN 230 01 0552 OLR-OAPEN 283 01 3283 OLR-OAL 293 01 3293 OLR-OAPEN 370 01 4370 OLR-FREE 370 01 4370 olr-ebook GBV-OAPEN 603 01 4603 OLR-OAPEN 808 01 4808 OLR-OAPEN |
| allfieldsGer |
9781003337232 978-1-003-33723-2 9781000794311 978-1-000-79431-1 9788770226646 978-87-7022-664-6 (DE-627)1905038224 (DE-599)KEP10847299X (OAPEN)59761 (EBP)10847299X DE-627 ger DE-627 rda eng MBP bicssc PHDY bicssc TJK bicssc Artificial Intelligence for Digitising Industry – Applications [Erscheinungsort nicht ermittelbar] Taylor & Francis 2021 1 Online-Ressource (430 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Open Access Unrestricted online access star This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI project, including an overview of industrial use cases, research, technological innovation, validation, and deployment. This book’s sections build on the research, development, and innovative ideas elaborated for applications in five industries: automotive, semiconductor, industrial machinery, food and beverage, and transportation. The articles included under each of these five industrial sectors discuss AI-based methods, techniques, models, algorithms, and supporting technologies, such as IIoT, edge computing, digital twins, collaborative robots, silicon-born AI circuit concepts, neuromorphic architectures, and augmented intelligence, that are anticipating the development of Industry 5.0. Automotive applications cover use cases addressing AI-based solutions for inbound logistics and assembly process optimisation, autonomous reconfigurable battery systems, virtual AI training platforms for robot learning, autonomous mobile robotic agents, and predictive maintenance for machines on the level of a digital twin. AI-based technologies and applications in the semiconductor manufacturing industry address use cases related to AI-based failure modes and effects analysis assistants, neural networks for predicting critical 3D dimensions in MEMS inertial sensors, machine vision systems developed in the wafer inspection production line, semiconductor wafer fault classifications, automatic inspection of scanning electron microscope cross-section images for technology verification, anomaly detection on wire bond process trace data, and optical inspection. The use cases presented for machinery and industrial equipment industry applications cover topics related to wood machinery, with the perception of the surrounding environment and intelligent robot applications. AI, IIoT, and robotics solutions are highlighted for the food and beverage industry, presenting use cases addressing novel AI-based environmental monitoring; autonomous environment-aware, quality control systems for Champagne production; and production process optimisation and predictive maintenance for soybeans manufacturing. For the transportation sector, the use cases presented cover the mobility-as-a-service development of AI-based fleet management for supporting multimodal transport. This book highlights the significant technological challenges that AI application developments in industrial sectors are facing, presenting several research challenges and open issues that should guide future development for evolution towards an environment-friendly Industry 5.0. The challenges presented for AI-based applications in industrial environments include issues related to complexity, multidisciplinary and heterogeneity, convergence of AI with other technologies, energy consumption and efficiency, knowledge acquisition, reasoning with limited data, fusion of heterogeneous data, availability of reliable data sets, verification, validation, and testing for decision-making processes Namensnennung - Nicht-kommerziell 4.0 International CC BY-NC 4.0 cc https://creativecommons.org/licenses/by-nc/4.0/ English Health systems and services Energy Communications engineering / telecommunications Vermesan, Ovidiu herausgeberin edt https://library.oapen.org/bitstream/id/482c32f4-32d5-4ac4-aab8-8d84ed9aa02b/9781000794311.pdf X:OAPEN Verlag kostenfrei https://library.oapen.org/handle/20.500.12657/59761 X:OAPEN Verlag kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 BO 22 01 0018 4606259760 OLR-ZDB-94-OAL OAPEN Library zu 29-10-24 23 01 0830 4606765453 OLR-OAPEN f z 29-10-24 30 01 0104 4607098175 GBV-OAPEN z 29-10-24 31 01 0027 4606426020 z 29-10-24 34 01 3551 460474694X OLR-OAPEN zi002 28-10-24 39 01 0547 4607264342 GBV-OAPEN ke 29-10-24 40 01 0007 4606093498 OLR-OAPEN xsn 29-10-24 63 01 3401 4607600180 E-Books LF GBV-OAPEN z 29-10-24 65 01 0003 4607766771 OLR-OAPEN z 29-10-24 70 01 0089 4606599138 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 29-10-24 72 01 0035 4604508372 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 28-10-24 95 01 3095 4605002189 OLR-OAL Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 29-10-24 110 01 3110 4607430595 OLR-GBV-OAPEN Open Access z 29-10-24 136 01 3526 4605761039 OLR-OAPEN z 29-10-24 147 01 3528 4607934380 OLR-OAPEN frei verfügbar für Europa-Universität Flensburg, Hochschule Flensburg und Zentrale Hochschulbibliothek Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 29-10-24 161 01 0960 4603953615 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-10-24 187 01 3520 4604319502 JSTOR Open Access eBook z 28-10-24 213 01 0551 4605428607 OLR-OAPEN OAPEN Online Library Open Access eBook z 29-10-24 230 01 0552 4605594752 OLR-OAPEN OAPEN Online Library Open Access eBook z 29-10-24 283 01 3283 4605927298 OLR-OAL z 29-10-24 293 01 3293 4604132151 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-10-24 370 01 4370 4605262385 OLR-FREE Kostenloser Zugriff z 29-10-24 603 01 4603 460378581X OLR-OAPEN Bitte beachten Sie die Nutzungsbedingungen und Copyright-Bestimmungen des Verlages/Herausgebers. z 28-10-24 808 01 4808 4606931744 OLR-OAPEN OAPEN Library zg 29-10-24 22 01 0018 Volltextzugang https://library.oapen.org/handle/20.500.12657/59761 23 01 0830 https://library.oapen.org/handle/20.500.12657/59761 30 01 0104 Open Access https://library.oapen.org/handle/20.500.12657/59761 31 01 0027 eBook GBV-OAPEN https://library.oapen.org/handle/20.500.12657/59761 34 01 3551 OpenAccess https://library.oapen.org/handle/20.500.12657/59761 40 01 0007 Volltext, Open Access https://library.oapen.org/handle/20.500.12657/59761 63 01 3401 E-Book https://library.oapen.org/handle/20.500.12657/59761 65 01 0003 Open Access https://library.oapen.org/handle/20.500.12657/59761 65 01 0003 Dieser Titel ist Teil einer Datenbank http://www.bibliothek.uni-regensburg.de/dbinfo/detail.php?titel_id=10728&bib_id=ulb_hal 70 01 0089 https://library.oapen.org/handle/20.500.12657/59761 LF 72 01 0035 https://library.oapen.org/handle/20.500.12657/59761 95 01 3095 https://library.oapen.org/handle/20.500.12657/59761 110 01 3110 Open Access https://library.oapen.org/handle/20.500.12657/59761 136 01 3526 Open Access https://library.oapen.org/handle/20.500.12657/59761 147 01 3528 https://library.oapen.org/handle/20.500.12657/59761 161 01 0960 https://library.oapen.org/handle/20.500.12657/59761 LF 187 01 3520 https://library.oapen.org/handle/20.500.12657/59761 213 01 0551 https://library.oapen.org/handle/20.500.12657/59761 230 01 0552 https://library.oapen.org/handle/20.500.12657/59761 283 01 3283 https://library.oapen.org/handle/20.500.12657/59761 293 01 3293 https://library.oapen.org/handle/20.500.12657/59761 LF 370 01 4370 https://library.oapen.org/handle/20.500.12657/59761 603 01 4603 https://library.oapen.org/handle/20.500.12657/59761 808 01 4808 Volltextzugang https://library.oapen.org/handle/20.500.12657/59761 31 01 0027 00 eBook GBV-OAPEN 22 01 0018 OLR-ZDB-94-OAL 23 01 0830 OLR-OAPEN 30 01 0104 GBV-OAPEN 34 01 3551 OLR-OAPEN 39 01 0547 GBV-OAPEN 39 01 0547 LF 40 01 0007 OLR-OAPEN 63 01 3401 E-Books LF GBV-OAPEN 65 01 0003 OLR-OAPEN 70 01 0089 OLR-OAPEN-OA 72 01 0035 OLR-OAPEN-OA 95 01 3095 OLR-OAL 110 01 3110 OLR-GBV-OAPEN 136 01 3526 OLR-OAPEN 147 01 3528 OLR-OAPEN 161 01 0960 OLR-OAPEN 213 01 0551 OLR-OAPEN 230 01 0552 OLR-OAPEN 283 01 3283 OLR-OAL 293 01 3293 OLR-OAPEN 370 01 4370 OLR-FREE 370 01 4370 olr-ebook GBV-OAPEN 603 01 4603 OLR-OAPEN 808 01 4808 OLR-OAPEN |
| allfieldsSound |
9781003337232 978-1-003-33723-2 9781000794311 978-1-000-79431-1 9788770226646 978-87-7022-664-6 (DE-627)1905038224 (DE-599)KEP10847299X (OAPEN)59761 (EBP)10847299X DE-627 ger DE-627 rda eng MBP bicssc PHDY bicssc TJK bicssc Artificial Intelligence for Digitising Industry – Applications [Erscheinungsort nicht ermittelbar] Taylor & Francis 2021 1 Online-Ressource (430 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Open Access Unrestricted online access star This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI project, including an overview of industrial use cases, research, technological innovation, validation, and deployment. This book’s sections build on the research, development, and innovative ideas elaborated for applications in five industries: automotive, semiconductor, industrial machinery, food and beverage, and transportation. The articles included under each of these five industrial sectors discuss AI-based methods, techniques, models, algorithms, and supporting technologies, such as IIoT, edge computing, digital twins, collaborative robots, silicon-born AI circuit concepts, neuromorphic architectures, and augmented intelligence, that are anticipating the development of Industry 5.0. Automotive applications cover use cases addressing AI-based solutions for inbound logistics and assembly process optimisation, autonomous reconfigurable battery systems, virtual AI training platforms for robot learning, autonomous mobile robotic agents, and predictive maintenance for machines on the level of a digital twin. AI-based technologies and applications in the semiconductor manufacturing industry address use cases related to AI-based failure modes and effects analysis assistants, neural networks for predicting critical 3D dimensions in MEMS inertial sensors, machine vision systems developed in the wafer inspection production line, semiconductor wafer fault classifications, automatic inspection of scanning electron microscope cross-section images for technology verification, anomaly detection on wire bond process trace data, and optical inspection. The use cases presented for machinery and industrial equipment industry applications cover topics related to wood machinery, with the perception of the surrounding environment and intelligent robot applications. AI, IIoT, and robotics solutions are highlighted for the food and beverage industry, presenting use cases addressing novel AI-based environmental monitoring; autonomous environment-aware, quality control systems for Champagne production; and production process optimisation and predictive maintenance for soybeans manufacturing. For the transportation sector, the use cases presented cover the mobility-as-a-service development of AI-based fleet management for supporting multimodal transport. This book highlights the significant technological challenges that AI application developments in industrial sectors are facing, presenting several research challenges and open issues that should guide future development for evolution towards an environment-friendly Industry 5.0. The challenges presented for AI-based applications in industrial environments include issues related to complexity, multidisciplinary and heterogeneity, convergence of AI with other technologies, energy consumption and efficiency, knowledge acquisition, reasoning with limited data, fusion of heterogeneous data, availability of reliable data sets, verification, validation, and testing for decision-making processes Namensnennung - Nicht-kommerziell 4.0 International CC BY-NC 4.0 cc https://creativecommons.org/licenses/by-nc/4.0/ English Health systems and services Energy Communications engineering / telecommunications Vermesan, Ovidiu herausgeberin edt https://library.oapen.org/bitstream/id/482c32f4-32d5-4ac4-aab8-8d84ed9aa02b/9781000794311.pdf X:OAPEN Verlag kostenfrei https://library.oapen.org/handle/20.500.12657/59761 X:OAPEN Verlag kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 BO 22 01 0018 4606259760 OLR-ZDB-94-OAL OAPEN Library zu 29-10-24 23 01 0830 4606765453 OLR-OAPEN f z 29-10-24 30 01 0104 4607098175 GBV-OAPEN z 29-10-24 31 01 0027 4606426020 z 29-10-24 34 01 3551 460474694X OLR-OAPEN zi002 28-10-24 39 01 0547 4607264342 GBV-OAPEN ke 29-10-24 40 01 0007 4606093498 OLR-OAPEN xsn 29-10-24 63 01 3401 4607600180 E-Books LF GBV-OAPEN z 29-10-24 65 01 0003 4607766771 OLR-OAPEN z 29-10-24 70 01 0089 4606599138 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 29-10-24 72 01 0035 4604508372 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 28-10-24 95 01 3095 4605002189 OLR-OAL Vervielfältigungen (z.B. 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This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI project, including an overview of industrial use cases, research, technological innovation, validation, and deployment. This book’s sections build on the research, development, and innovative ideas elaborated for applications in five industries: automotive, semiconductor, industrial machinery, food and beverage, and transportation. The articles included under each of these five industrial sectors discuss AI-based methods, techniques, models, algorithms, and supporting technologies, such as IIoT, edge computing, digital twins, collaborative robots, silicon-born AI circuit concepts, neuromorphic architectures, and augmented intelligence, that are anticipating the development of Industry 5.0. Automotive applications cover use cases addressing AI-based solutions for inbound logistics and assembly process optimisation, autonomous reconfigurable battery systems, virtual AI training platforms for robot learning, autonomous mobile robotic agents, and predictive maintenance for machines on the level of a digital twin. AI-based technologies and applications in the semiconductor manufacturing industry address use cases related to AI-based failure modes and effects analysis assistants, neural networks for predicting critical 3D dimensions in MEMS inertial sensors, machine vision systems developed in the wafer inspection production line, semiconductor wafer fault classifications, automatic inspection of scanning electron microscope cross-section images for technology verification, anomaly detection on wire bond process trace data, and optical inspection. The use cases presented for machinery and industrial equipment industry applications cover topics related to wood machinery, with the perception of the surrounding environment and intelligent robot applications. AI, IIoT, and robotics solutions are highlighted for the food and beverage industry, presenting use cases addressing novel AI-based environmental monitoring; autonomous environment-aware, quality control systems for Champagne production; and production process optimisation and predictive maintenance for soybeans manufacturing. For the transportation sector, the use cases presented cover the mobility-as-a-service development of AI-based fleet management for supporting multimodal transport. This book highlights the significant technological challenges that AI application developments in industrial sectors are facing, presenting several research challenges and open issues that should guide future development for evolution towards an environment-friendly Industry 5.0. The challenges presented for AI-based applications in industrial environments include issues related to complexity, multidisciplinary and heterogeneity, convergence of AI with other technologies, energy consumption and efficiency, knowledge acquisition, reasoning with limited data, fusion of heterogeneous data, availability of reliable data sets, verification, validation, and testing for decision-making processes |
| abstractGer |
This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI project, including an overview of industrial use cases, research, technological innovation, validation, and deployment. This book’s sections build on the research, development, and innovative ideas elaborated for applications in five industries: automotive, semiconductor, industrial machinery, food and beverage, and transportation. The articles included under each of these five industrial sectors discuss AI-based methods, techniques, models, algorithms, and supporting technologies, such as IIoT, edge computing, digital twins, collaborative robots, silicon-born AI circuit concepts, neuromorphic architectures, and augmented intelligence, that are anticipating the development of Industry 5.0. Automotive applications cover use cases addressing AI-based solutions for inbound logistics and assembly process optimisation, autonomous reconfigurable battery systems, virtual AI training platforms for robot learning, autonomous mobile robotic agents, and predictive maintenance for machines on the level of a digital twin. AI-based technologies and applications in the semiconductor manufacturing industry address use cases related to AI-based failure modes and effects analysis assistants, neural networks for predicting critical 3D dimensions in MEMS inertial sensors, machine vision systems developed in the wafer inspection production line, semiconductor wafer fault classifications, automatic inspection of scanning electron microscope cross-section images for technology verification, anomaly detection on wire bond process trace data, and optical inspection. The use cases presented for machinery and industrial equipment industry applications cover topics related to wood machinery, with the perception of the surrounding environment and intelligent robot applications. AI, IIoT, and robotics solutions are highlighted for the food and beverage industry, presenting use cases addressing novel AI-based environmental monitoring; autonomous environment-aware, quality control systems for Champagne production; and production process optimisation and predictive maintenance for soybeans manufacturing. For the transportation sector, the use cases presented cover the mobility-as-a-service development of AI-based fleet management for supporting multimodal transport. This book highlights the significant technological challenges that AI application developments in industrial sectors are facing, presenting several research challenges and open issues that should guide future development for evolution towards an environment-friendly Industry 5.0. The challenges presented for AI-based applications in industrial environments include issues related to complexity, multidisciplinary and heterogeneity, convergence of AI with other technologies, energy consumption and efficiency, knowledge acquisition, reasoning with limited data, fusion of heterogeneous data, availability of reliable data sets, verification, validation, and testing for decision-making processes |
| abstract_unstemmed |
This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI project, including an overview of industrial use cases, research, technological innovation, validation, and deployment. This book’s sections build on the research, development, and innovative ideas elaborated for applications in five industries: automotive, semiconductor, industrial machinery, food and beverage, and transportation. The articles included under each of these five industrial sectors discuss AI-based methods, techniques, models, algorithms, and supporting technologies, such as IIoT, edge computing, digital twins, collaborative robots, silicon-born AI circuit concepts, neuromorphic architectures, and augmented intelligence, that are anticipating the development of Industry 5.0. Automotive applications cover use cases addressing AI-based solutions for inbound logistics and assembly process optimisation, autonomous reconfigurable battery systems, virtual AI training platforms for robot learning, autonomous mobile robotic agents, and predictive maintenance for machines on the level of a digital twin. AI-based technologies and applications in the semiconductor manufacturing industry address use cases related to AI-based failure modes and effects analysis assistants, neural networks for predicting critical 3D dimensions in MEMS inertial sensors, machine vision systems developed in the wafer inspection production line, semiconductor wafer fault classifications, automatic inspection of scanning electron microscope cross-section images for technology verification, anomaly detection on wire bond process trace data, and optical inspection. The use cases presented for machinery and industrial equipment industry applications cover topics related to wood machinery, with the perception of the surrounding environment and intelligent robot applications. AI, IIoT, and robotics solutions are highlighted for the food and beverage industry, presenting use cases addressing novel AI-based environmental monitoring; autonomous environment-aware, quality control systems for Champagne production; and production process optimisation and predictive maintenance for soybeans manufacturing. For the transportation sector, the use cases presented cover the mobility-as-a-service development of AI-based fleet management for supporting multimodal transport. This book highlights the significant technological challenges that AI application developments in industrial sectors are facing, presenting several research challenges and open issues that should guide future development for evolution towards an environment-friendly Industry 5.0. The challenges presented for AI-based applications in industrial environments include issues related to complexity, multidisciplinary and heterogeneity, convergence of AI with other technologies, energy consumption and efficiency, knowledge acquisition, reasoning with limited data, fusion of heterogeneous data, availability of reliable data sets, verification, validation, and testing for decision-making processes |
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Artificial Intelligence for Digitising Industry – Applications |
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