Improving drill-core hyperspectral mineral mapping using machine learning

Gespeichert in:

Autor*in:	Contreras Acosta, Isabel Cecilia - 1990- [verfasserIn] Gloaguen, Richard [akademischer betreuerIn] Benndorf, Jörg [akademischer betreuerIn] Plaza, Antonio - 1975- [akademischer betreuerIn]
Körperschaften:	Technische Universität Bergakademie Freiberg [Grad-verleihende Institution]
Hochschulschrift:	Dissertation ; Technische Universität Bergakademie Freiberg ; 2022

Format:	E-Book
Sprache:	Englisch

Erschienen:	Freiberg: 2022

Schlagwörter:	Bohrkern / Bohrkernuntersuchung / Geochemische Prospektion / Datenerhebung / Hyperspektraler Sensor / Künstliche Intelligenz Lagerstätte / Mineralisation / Mineralischer Rohstoff / Prospektion / Geochemie / Spektralanalyse Bohrkernuntersuchung / Maschinelles Lernen / Datenanalyse / Datenauswertung / Mineralbestimmung / Lagerstättenkunde Mineralogie / Hyperspektraler Sensor / Angewandte Mathematik
Formangabe:	Hochschulschrift

Anmerkung:	Volltext: PDF Literaturverzeichnis Seite 93-109 Date of the award: 06 July 2022
Umfang:	1 Online-Ressource (xxii, 109 Seiten) ; Illustrationen, Diagramme

Weitere Ausgabe:	Erscheint auch als Druck-Ausgabe Contreras Acosta, Isabel Cecilia, 1990 -: Improving drill-core hyperspectral mineral mapping using machine learning - Freiberg, 2022

Links:	Link aufrufen Volltext Link aufrufen

DOI / URN:	urn:nbn:de:bsz:105-qucosa2-798522

Katalog-ID:	181113081X

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publishDate	2022
allfields	urn:nbn:de:bsz:105-qucosa2-798522 urn (DE-627)181113081X (DE-599)KXP181113081X DE-627 ger DE-627 rda eng XA-DE-SN 551.41 DE-101 550 DE-101 MONTAN DE-105 fid Contreras Acosta, Isabel Cecilia 1990- verfasserin (DE-588)1262107296 (DE-627)1809645336 aut Improving drill-core hyperspectral mineral mapping using machine learning by Isabel Cecilia Contreras Acosta, M.Sc. ; Gutachter: Dr. Richard Gloaguen (Helmholtz Institute Freiberg for Resource Technology, Helmholtz-Zentrum Dresden-Rossendorf, Germany), Prof. Dr. Jörg Benndorf (Technische Universität Bergakademie Freiberg, Germany), Dr. Antonio Plaza (Universidad de Extremadura, Spain) Freiberg 2022 1 Online-Ressource (xxii, 109 Seiten) Illustrationen, Diagramme Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Volltext: PDF Literaturverzeichnis Seite 93-109 Date of the award: 06 July 2022 Dissertation Technische Universität Bergakademie Freiberg 2022 Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content s (DE-588)4146236-1 (DE-627)104393343 (DE-576)209747587 Bohrkern gnd s (DE-588)4277405-6 (DE-627)104287357 (DE-576)210726644 Bohrkernuntersuchung gnd s (DE-588)4156664-6 (DE-627)105506729 (DE-576)209828579 Geochemische Prospektion gnd s (DE-588)4155272-6 (DE-627)10551702X (DE-576)209817615 Datenerhebung gnd s (DE-588)1078791082 (DE-627)839459505 (DE-576)451818229 Hyperspektraler Sensor gnd s (DE-588)4033447-8 (DE-627)106257188 (DE-576)209002050 Künstliche Intelligenz gnd (DE-627) s (DE-588)4039443-8 (DE-627)106228005 (DE-576)209035021 Lagerstätte gnd s (DE-588)4132279-4 (DE-627)105688932 (DE-576)209634227 Mineralisation gnd s (DE-588)4039441-4 (DE-627)106228013 (DE-576)209035013 Mineralischer Rohstoff gnd s (DE-588)4047505-0 (DE-627)106194410 (DE-576)209073780 Prospektion gnd s (DE-588)4020198-3 (DE-627)104529571 (DE-576)20893233X Geochemie gnd s (DE-588)4132368-3 (DE-627)104653485 (DE-576)209634979 Spektralanalyse gnd (DE-627) s (DE-588)4277405-6 (DE-627)104287357 (DE-576)210726644 Bohrkernuntersuchung gnd s (DE-588)4193754-5 (DE-627)105224782 (DE-576)21008944X Maschinelles Lernen gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd s (DE-588)4131193-0 (DE-627)105696773 (DE-576)20962535X Datenauswertung gnd s (DE-588)4170018-1 (DE-627)105405558 (DE-576)209926961 Mineralbestimmung gnd s (DE-588)4140085-9 (DE-627)105630470 (DE-576)209699825 Lagerstättenkunde gnd (DE-627) s (DE-588)4039457-8 (DE-627)106227971 (DE-576)209035056 Mineralogie gnd s (DE-588)1078791082 (DE-627)839459505 (DE-576)451818229 Hyperspektraler Sensor gnd s (DE-588)4142443-8 (DE-627)105613142 (DE-576)209718811 Angewandte Mathematik gnd (DE-627) Gloaguen, Richard akademischer betreuerin (DE-588)1255663847 (DE-627)1799737160 dgs Benndorf, Jörg akademischer betreuerin (DE-588)141518294 (DE-627)629441871 (DE-576)324247494 dgs Plaza, Antonio 1975- akademischer betreuerin (DE-588)1262090784 (DE-627)1809473527 dgs Technische Universität Bergakademie Freiberg Grad-verleihende Institution (DE-588)2134021-3 (DE-627)132896044 (DE-576)194681505 dgg Freiberg (DE-588)4018266-6 (DE-627)104746033 (DE-576)208923519 uvp Erscheint auch als Druck-Ausgabe Contreras Acosta, Isabel Cecilia, 1990 - Improving drill-core hyperspectral mineral mapping using machine learning Freiberg, 2022 xxii, 109 Seiten (DE-627)1809706904 https://nbn-resolving.org/urn:nbn:de:bsz:105-qucosa2-798522 2022-08-03 Resolving-System kostenfrei Volltext https://d-nb.info/1263208347/34 2022-08-03 Langzeitarchivierung Nationalbibliothek kostenfrei GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP FID-MONTAN GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_70 ISIL_DE-89 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_132 ISIL_DE-959 GBV_ILN_151 ISIL_DE-546 GBV_ILN_161 ISIL_DE-960 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2027 ISIL_DE-105 GBV_ILN_2403 ISIL_DE-LFER BO 045F 551.41 20 01 0084 4181124940 x 19-08-22 21 01 0046 4181143511 z 19-08-22 22 01 0018 418116098X SUBolrd xu 19-08-22 23 01 0830 4181176800 olr-d x 19-08-22 30 01 0104 418118739X z 19-08-22 40 01 0007 418119714X xsn 19-08-22 60 01 0705 4181213781 OLRD z 19-08-22 63 01 3401 4181228754 ORD x 19-08-22 70 01 0089 4181236420 zdo 19-08-22 105 01 0841 4181322653 z 19-08-22 110 01 3110 4181246159 x 19-08-22 132 01 0959 4181257045 OLR-DISS x 19-08-22 151 01 0546 4181271102 OLR-ODISS z 19-08-22 161 01 0960 4181277658 ORD z 19-08-22 293 01 3293 4181310728 ORD z 19-08-22 370 01 4370 4181318117 x 19-08-22 2027 01 DE-105 4171351464 00 --%%-- 22.1950 pdf p --%%-- l01 21-07-22 2403 01 DE-LFER 4190989703 00 --%%-- --%%-- n --%%-- l01 22-09-22 20 01 0084 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 21 01 0046 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 22 01 0018 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 23 01 0830 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 30 01 0104 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 40 01 0007 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 60 01 0705 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 63 01 3401 E-Book https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 LF 70 01 0089 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 105 01 0841 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 110 01 3110 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 132 01 0959 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 151 01 0546 Volltext https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 161 01 0960 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 293 01 3293 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 370 01 4370 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 2403 01 DE-LFER https://nbn-resolving.org/urn:nbn:de:bsz:105-qucosa2-798522 2027 01 DE-105 00 s ebook 60 01 0705 10 ho 2027 01 DE-105 00 (DE-627)1298694981 DK 550.822/.83 2027 01 DE-105 00 (DE-627)1293305979 DK 550.84 2027 01 DE-105 00 (DE-627)1297934342 DK 550.8.04 2027 01 DE-105 00 (DE-627)1292244216 DK 550.8.05 2027 01 DE-105 00 (DE-627)1293572322 DK 550.42 2027 01 DE-105 00 (DE-627)1298962862 DK 550.43 2027 01 DE-105 00 (DE-627)1300372095 DK 519.718 2027 01 DE-105 00 (DE-627)1292109262 DK 543.42 2027 01 DE-105 00 (DE-627)1293812447 DK 55.001.57 2027 01 DE-105 00 (DE-627)1293391980 DK 51-7 2027 01 DE-105 00 (DE-627)1293763926 DK 549.08 2027 01 DE-105 00 (DE-627)1293869414 DK 553.08 2027 01 DE-105 00 (DE-627)1903091586 DK 681.14.022 2027 01 DE-105 00 (DE-627)129278105X DK 378.245 2027 01 DE-105 00 FGAUT 20 01 0084 OLRD 110 01 3110 OLRD 370 01 4370 OLRD 22 01 0018 SUBolrd 23 01 0830 olr-d 60 01 0705 OLRD 63 01 3401 ORD 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 161 01 0960 ORD 293 01 3293 ORD 23 01 0830 2022-08-19:14:42:23
spelling	urn:nbn:de:bsz:105-qucosa2-798522 urn (DE-627)181113081X (DE-599)KXP181113081X DE-627 ger DE-627 rda eng XA-DE-SN 551.41 DE-101 550 DE-101 MONTAN DE-105 fid Contreras Acosta, Isabel Cecilia 1990- verfasserin (DE-588)1262107296 (DE-627)1809645336 aut Improving drill-core hyperspectral mineral mapping using machine learning by Isabel Cecilia Contreras Acosta, M.Sc. ; Gutachter: Dr. Richard Gloaguen (Helmholtz Institute Freiberg for Resource Technology, Helmholtz-Zentrum Dresden-Rossendorf, Germany), Prof. Dr. Jörg Benndorf (Technische Universität Bergakademie Freiberg, Germany), Dr. Antonio Plaza (Universidad de Extremadura, Spain) Freiberg 2022 1 Online-Ressource (xxii, 109 Seiten) Illustrationen, Diagramme Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Volltext: PDF Literaturverzeichnis Seite 93-109 Date of the award: 06 July 2022 Dissertation Technische Universität Bergakademie Freiberg 2022 Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content s (DE-588)4146236-1 (DE-627)104393343 (DE-576)209747587 Bohrkern gnd s (DE-588)4277405-6 (DE-627)104287357 (DE-576)210726644 Bohrkernuntersuchung gnd s (DE-588)4156664-6 (DE-627)105506729 (DE-576)209828579 Geochemische Prospektion gnd s (DE-588)4155272-6 (DE-627)10551702X (DE-576)209817615 Datenerhebung gnd s (DE-588)1078791082 (DE-627)839459505 (DE-576)451818229 Hyperspektraler Sensor gnd s (DE-588)4033447-8 (DE-627)106257188 (DE-576)209002050 Künstliche Intelligenz gnd (DE-627) s (DE-588)4039443-8 (DE-627)106228005 (DE-576)209035021 Lagerstätte gnd s (DE-588)4132279-4 (DE-627)105688932 (DE-576)209634227 Mineralisation gnd s (DE-588)4039441-4 (DE-627)106228013 (DE-576)209035013 Mineralischer Rohstoff gnd s (DE-588)4047505-0 (DE-627)106194410 (DE-576)209073780 Prospektion gnd s (DE-588)4020198-3 (DE-627)104529571 (DE-576)20893233X Geochemie gnd s (DE-588)4132368-3 (DE-627)104653485 (DE-576)209634979 Spektralanalyse gnd (DE-627) s (DE-588)4277405-6 (DE-627)104287357 (DE-576)210726644 Bohrkernuntersuchung gnd s (DE-588)4193754-5 (DE-627)105224782 (DE-576)21008944X Maschinelles Lernen gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd s (DE-588)4131193-0 (DE-627)105696773 (DE-576)20962535X Datenauswertung gnd s (DE-588)4170018-1 (DE-627)105405558 (DE-576)209926961 Mineralbestimmung gnd s (DE-588)4140085-9 (DE-627)105630470 (DE-576)209699825 Lagerstättenkunde gnd (DE-627) s (DE-588)4039457-8 (DE-627)106227971 (DE-576)209035056 Mineralogie gnd s (DE-588)1078791082 (DE-627)839459505 (DE-576)451818229 Hyperspektraler Sensor gnd s (DE-588)4142443-8 (DE-627)105613142 (DE-576)209718811 Angewandte Mathematik gnd (DE-627) Gloaguen, Richard akademischer betreuerin (DE-588)1255663847 (DE-627)1799737160 dgs Benndorf, Jörg akademischer betreuerin (DE-588)141518294 (DE-627)629441871 (DE-576)324247494 dgs Plaza, Antonio 1975- akademischer betreuerin (DE-588)1262090784 (DE-627)1809473527 dgs Technische Universität Bergakademie Freiberg Grad-verleihende Institution (DE-588)2134021-3 (DE-627)132896044 (DE-576)194681505 dgg Freiberg (DE-588)4018266-6 (DE-627)104746033 (DE-576)208923519 uvp Erscheint auch als Druck-Ausgabe Contreras Acosta, Isabel Cecilia, 1990 - Improving drill-core hyperspectral mineral mapping using machine learning Freiberg, 2022 xxii, 109 Seiten (DE-627)1809706904 https://nbn-resolving.org/urn:nbn:de:bsz:105-qucosa2-798522 2022-08-03 Resolving-System kostenfrei Volltext https://d-nb.info/1263208347/34 2022-08-03 Langzeitarchivierung Nationalbibliothek kostenfrei GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP FID-MONTAN GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_70 ISIL_DE-89 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_132 ISIL_DE-959 GBV_ILN_151 ISIL_DE-546 GBV_ILN_161 ISIL_DE-960 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2027 ISIL_DE-105 GBV_ILN_2403 ISIL_DE-LFER BO 045F 551.41 20 01 0084 4181124940 x 19-08-22 21 01 0046 4181143511 z 19-08-22 22 01 0018 418116098X SUBolrd xu 19-08-22 23 01 0830 4181176800 olr-d x 19-08-22 30 01 0104 418118739X z 19-08-22 40 01 0007 418119714X xsn 19-08-22 60 01 0705 4181213781 OLRD z 19-08-22 63 01 3401 4181228754 ORD x 19-08-22 70 01 0089 4181236420 zdo 19-08-22 105 01 0841 4181322653 z 19-08-22 110 01 3110 4181246159 x 19-08-22 132 01 0959 4181257045 OLR-DISS x 19-08-22 151 01 0546 4181271102 OLR-ODISS z 19-08-22 161 01 0960 4181277658 ORD z 19-08-22 293 01 3293 4181310728 ORD z 19-08-22 370 01 4370 4181318117 x 19-08-22 2027 01 DE-105 4171351464 00 --%%-- 22.1950 pdf p --%%-- l01 21-07-22 2403 01 DE-LFER 4190989703 00 --%%-- --%%-- n --%%-- l01 22-09-22 20 01 0084 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 21 01 0046 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 22 01 0018 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 23 01 0830 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 30 01 0104 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 40 01 0007 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 60 01 0705 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 63 01 3401 E-Book https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 LF 70 01 0089 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 105 01 0841 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 110 01 3110 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 132 01 0959 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 151 01 0546 Volltext https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 161 01 0960 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 293 01 3293 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 370 01 4370 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 2403 01 DE-LFER https://nbn-resolving.org/urn:nbn:de:bsz:105-qucosa2-798522 2027 01 DE-105 00 s ebook 60 01 0705 10 ho 2027 01 DE-105 00 (DE-627)1298694981 DK 550.822/.83 2027 01 DE-105 00 (DE-627)1293305979 DK 550.84 2027 01 DE-105 00 (DE-627)1297934342 DK 550.8.04 2027 01 DE-105 00 (DE-627)1292244216 DK 550.8.05 2027 01 DE-105 00 (DE-627)1293572322 DK 550.42 2027 01 DE-105 00 (DE-627)1298962862 DK 550.43 2027 01 DE-105 00 (DE-627)1300372095 DK 519.718 2027 01 DE-105 00 (DE-627)1292109262 DK 543.42 2027 01 DE-105 00 (DE-627)1293812447 DK 55.001.57 2027 01 DE-105 00 (DE-627)1293391980 DK 51-7 2027 01 DE-105 00 (DE-627)1293763926 DK 549.08 2027 01 DE-105 00 (DE-627)1293869414 DK 553.08 2027 01 DE-105 00 (DE-627)1903091586 DK 681.14.022 2027 01 DE-105 00 (DE-627)129278105X DK 378.245 2027 01 DE-105 00 FGAUT 20 01 0084 OLRD 110 01 3110 OLRD 370 01 4370 OLRD 22 01 0018 SUBolrd 23 01 0830 olr-d 60 01 0705 OLRD 63 01 3401 ORD 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 161 01 0960 ORD 293 01 3293 ORD 23 01 0830 2022-08-19:14:42:23
allfields_unstemmed	urn:nbn:de:bsz:105-qucosa2-798522 urn (DE-627)181113081X (DE-599)KXP181113081X DE-627 ger DE-627 rda eng XA-DE-SN 551.41 DE-101 550 DE-101 MONTAN DE-105 fid Contreras Acosta, Isabel Cecilia 1990- verfasserin (DE-588)1262107296 (DE-627)1809645336 aut Improving drill-core hyperspectral mineral mapping using machine learning by Isabel Cecilia Contreras Acosta, M.Sc. ; Gutachter: Dr. Richard Gloaguen (Helmholtz Institute Freiberg for Resource Technology, Helmholtz-Zentrum Dresden-Rossendorf, Germany), Prof. Dr. Jörg Benndorf (Technische Universität Bergakademie Freiberg, Germany), Dr. Antonio Plaza (Universidad de Extremadura, Spain) Freiberg 2022 1 Online-Ressource (xxii, 109 Seiten) Illustrationen, Diagramme Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Volltext: PDF Literaturverzeichnis Seite 93-109 Date of the award: 06 July 2022 Dissertation Technische Universität Bergakademie Freiberg 2022 Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content s (DE-588)4146236-1 (DE-627)104393343 (DE-576)209747587 Bohrkern gnd s (DE-588)4277405-6 (DE-627)104287357 (DE-576)210726644 Bohrkernuntersuchung gnd s (DE-588)4156664-6 (DE-627)105506729 (DE-576)209828579 Geochemische Prospektion gnd s (DE-588)4155272-6 (DE-627)10551702X (DE-576)209817615 Datenerhebung gnd s (DE-588)1078791082 (DE-627)839459505 (DE-576)451818229 Hyperspektraler Sensor gnd s (DE-588)4033447-8 (DE-627)106257188 (DE-576)209002050 Künstliche Intelligenz gnd (DE-627) s (DE-588)4039443-8 (DE-627)106228005 (DE-576)209035021 Lagerstätte gnd s (DE-588)4132279-4 (DE-627)105688932 (DE-576)209634227 Mineralisation gnd s (DE-588)4039441-4 (DE-627)106228013 (DE-576)209035013 Mineralischer Rohstoff gnd s (DE-588)4047505-0 (DE-627)106194410 (DE-576)209073780 Prospektion gnd s (DE-588)4020198-3 (DE-627)104529571 (DE-576)20893233X Geochemie gnd s (DE-588)4132368-3 (DE-627)104653485 (DE-576)209634979 Spektralanalyse gnd (DE-627) s (DE-588)4277405-6 (DE-627)104287357 (DE-576)210726644 Bohrkernuntersuchung gnd s (DE-588)4193754-5 (DE-627)105224782 (DE-576)21008944X Maschinelles Lernen gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd s (DE-588)4131193-0 (DE-627)105696773 (DE-576)20962535X Datenauswertung gnd s (DE-588)4170018-1 (DE-627)105405558 (DE-576)209926961 Mineralbestimmung gnd s (DE-588)4140085-9 (DE-627)105630470 (DE-576)209699825 Lagerstättenkunde gnd (DE-627) s (DE-588)4039457-8 (DE-627)106227971 (DE-576)209035056 Mineralogie gnd s (DE-588)1078791082 (DE-627)839459505 (DE-576)451818229 Hyperspektraler Sensor gnd s (DE-588)4142443-8 (DE-627)105613142 (DE-576)209718811 Angewandte Mathematik gnd (DE-627) Gloaguen, Richard akademischer betreuerin (DE-588)1255663847 (DE-627)1799737160 dgs Benndorf, Jörg akademischer betreuerin (DE-588)141518294 (DE-627)629441871 (DE-576)324247494 dgs Plaza, Antonio 1975- akademischer betreuerin (DE-588)1262090784 (DE-627)1809473527 dgs Technische Universität Bergakademie Freiberg Grad-verleihende Institution (DE-588)2134021-3 (DE-627)132896044 (DE-576)194681505 dgg Freiberg (DE-588)4018266-6 (DE-627)104746033 (DE-576)208923519 uvp Erscheint auch als Druck-Ausgabe Contreras Acosta, Isabel Cecilia, 1990 - Improving drill-core hyperspectral mineral mapping using machine learning Freiberg, 2022 xxii, 109 Seiten (DE-627)1809706904 https://nbn-resolving.org/urn:nbn:de:bsz:105-qucosa2-798522 2022-08-03 Resolving-System kostenfrei Volltext https://d-nb.info/1263208347/34 2022-08-03 Langzeitarchivierung Nationalbibliothek kostenfrei GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP FID-MONTAN GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_70 ISIL_DE-89 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_132 ISIL_DE-959 GBV_ILN_151 ISIL_DE-546 GBV_ILN_161 ISIL_DE-960 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2027 ISIL_DE-105 GBV_ILN_2403 ISIL_DE-LFER BO 045F 551.41 20 01 0084 4181124940 x 19-08-22 21 01 0046 4181143511 z 19-08-22 22 01 0018 418116098X SUBolrd xu 19-08-22 23 01 0830 4181176800 olr-d x 19-08-22 30 01 0104 418118739X z 19-08-22 40 01 0007 418119714X xsn 19-08-22 60 01 0705 4181213781 OLRD z 19-08-22 63 01 3401 4181228754 ORD x 19-08-22 70 01 0089 4181236420 zdo 19-08-22 105 01 0841 4181322653 z 19-08-22 110 01 3110 4181246159 x 19-08-22 132 01 0959 4181257045 OLR-DISS x 19-08-22 151 01 0546 4181271102 OLR-ODISS z 19-08-22 161 01 0960 4181277658 ORD z 19-08-22 293 01 3293 4181310728 ORD z 19-08-22 370 01 4370 4181318117 x 19-08-22 2027 01 DE-105 4171351464 00 --%%-- 22.1950 pdf p --%%-- l01 21-07-22 2403 01 DE-LFER 4190989703 00 --%%-- --%%-- n --%%-- l01 22-09-22 20 01 0084 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 21 01 0046 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 22 01 0018 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 23 01 0830 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 30 01 0104 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 40 01 0007 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 60 01 0705 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 63 01 3401 E-Book https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 LF 70 01 0089 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 105 01 0841 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 110 01 3110 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 132 01 0959 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 151 01 0546 Volltext https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 161 01 0960 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 293 01 3293 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 370 01 4370 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 2403 01 DE-LFER https://nbn-resolving.org/urn:nbn:de:bsz:105-qucosa2-798522 2027 01 DE-105 00 s ebook 60 01 0705 10 ho 2027 01 DE-105 00 (DE-627)1298694981 DK 550.822/.83 2027 01 DE-105 00 (DE-627)1293305979 DK 550.84 2027 01 DE-105 00 (DE-627)1297934342 DK 550.8.04 2027 01 DE-105 00 (DE-627)1292244216 DK 550.8.05 2027 01 DE-105 00 (DE-627)1293572322 DK 550.42 2027 01 DE-105 00 (DE-627)1298962862 DK 550.43 2027 01 DE-105 00 (DE-627)1300372095 DK 519.718 2027 01 DE-105 00 (DE-627)1292109262 DK 543.42 2027 01 DE-105 00 (DE-627)1293812447 DK 55.001.57 2027 01 DE-105 00 (DE-627)1293391980 DK 51-7 2027 01 DE-105 00 (DE-627)1293763926 DK 549.08 2027 01 DE-105 00 (DE-627)1293869414 DK 553.08 2027 01 DE-105 00 (DE-627)1903091586 DK 681.14.022 2027 01 DE-105 00 (DE-627)129278105X DK 378.245 2027 01 DE-105 00 FGAUT 20 01 0084 OLRD 110 01 3110 OLRD 370 01 4370 OLRD 22 01 0018 SUBolrd 23 01 0830 olr-d 60 01 0705 OLRD 63 01 3401 ORD 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 161 01 0960 ORD 293 01 3293 ORD 23 01 0830 2022-08-19:14:42:23
allfieldsGer	urn:nbn:de:bsz:105-qucosa2-798522 urn (DE-627)181113081X (DE-599)KXP181113081X DE-627 ger DE-627 rda eng XA-DE-SN 551.41 DE-101 550 DE-101 MONTAN DE-105 fid Contreras Acosta, Isabel Cecilia 1990- verfasserin (DE-588)1262107296 (DE-627)1809645336 aut Improving drill-core hyperspectral mineral mapping using machine learning by Isabel Cecilia Contreras Acosta, M.Sc. ; Gutachter: Dr. Richard Gloaguen (Helmholtz Institute Freiberg for Resource Technology, Helmholtz-Zentrum Dresden-Rossendorf, Germany), Prof. Dr. Jörg Benndorf (Technische Universität Bergakademie Freiberg, Germany), Dr. Antonio Plaza (Universidad de Extremadura, Spain) Freiberg 2022 1 Online-Ressource (xxii, 109 Seiten) Illustrationen, Diagramme Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Volltext: PDF Literaturverzeichnis Seite 93-109 Date of the award: 06 July 2022 Dissertation Technische Universität Bergakademie Freiberg 2022 Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content s (DE-588)4146236-1 (DE-627)104393343 (DE-576)209747587 Bohrkern gnd s (DE-588)4277405-6 (DE-627)104287357 (DE-576)210726644 Bohrkernuntersuchung gnd s (DE-588)4156664-6 (DE-627)105506729 (DE-576)209828579 Geochemische Prospektion gnd s (DE-588)4155272-6 (DE-627)10551702X (DE-576)209817615 Datenerhebung gnd s (DE-588)1078791082 (DE-627)839459505 (DE-576)451818229 Hyperspektraler Sensor gnd s (DE-588)4033447-8 (DE-627)106257188 (DE-576)209002050 Künstliche Intelligenz gnd (DE-627) s (DE-588)4039443-8 (DE-627)106228005 (DE-576)209035021 Lagerstätte gnd s (DE-588)4132279-4 (DE-627)105688932 (DE-576)209634227 Mineralisation gnd s (DE-588)4039441-4 (DE-627)106228013 (DE-576)209035013 Mineralischer Rohstoff gnd s (DE-588)4047505-0 (DE-627)106194410 (DE-576)209073780 Prospektion gnd s (DE-588)4020198-3 (DE-627)104529571 (DE-576)20893233X Geochemie gnd s (DE-588)4132368-3 (DE-627)104653485 (DE-576)209634979 Spektralanalyse gnd (DE-627) s (DE-588)4277405-6 (DE-627)104287357 (DE-576)210726644 Bohrkernuntersuchung gnd s (DE-588)4193754-5 (DE-627)105224782 (DE-576)21008944X Maschinelles Lernen gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd s (DE-588)4131193-0 (DE-627)105696773 (DE-576)20962535X Datenauswertung gnd s (DE-588)4170018-1 (DE-627)105405558 (DE-576)209926961 Mineralbestimmung gnd s (DE-588)4140085-9 (DE-627)105630470 (DE-576)209699825 Lagerstättenkunde gnd (DE-627) s (DE-588)4039457-8 (DE-627)106227971 (DE-576)209035056 Mineralogie gnd s (DE-588)1078791082 (DE-627)839459505 (DE-576)451818229 Hyperspektraler Sensor gnd s (DE-588)4142443-8 (DE-627)105613142 (DE-576)209718811 Angewandte Mathematik gnd (DE-627) Gloaguen, Richard akademischer betreuerin (DE-588)1255663847 (DE-627)1799737160 dgs Benndorf, Jörg akademischer betreuerin (DE-588)141518294 (DE-627)629441871 (DE-576)324247494 dgs Plaza, Antonio 1975- akademischer betreuerin (DE-588)1262090784 (DE-627)1809473527 dgs Technische Universität Bergakademie Freiberg Grad-verleihende Institution (DE-588)2134021-3 (DE-627)132896044 (DE-576)194681505 dgg Freiberg (DE-588)4018266-6 (DE-627)104746033 (DE-576)208923519 uvp Erscheint auch als Druck-Ausgabe Contreras Acosta, Isabel Cecilia, 1990 - Improving drill-core hyperspectral mineral mapping using machine learning Freiberg, 2022 xxii, 109 Seiten (DE-627)1809706904 https://nbn-resolving.org/urn:nbn:de:bsz:105-qucosa2-798522 2022-08-03 Resolving-System kostenfrei Volltext https://d-nb.info/1263208347/34 2022-08-03 Langzeitarchivierung Nationalbibliothek kostenfrei GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP FID-MONTAN GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_70 ISIL_DE-89 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_132 ISIL_DE-959 GBV_ILN_151 ISIL_DE-546 GBV_ILN_161 ISIL_DE-960 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2027 ISIL_DE-105 GBV_ILN_2403 ISIL_DE-LFER BO 045F 551.41 20 01 0084 4181124940 x 19-08-22 21 01 0046 4181143511 z 19-08-22 22 01 0018 418116098X SUBolrd xu 19-08-22 23 01 0830 4181176800 olr-d x 19-08-22 30 01 0104 418118739X z 19-08-22 40 01 0007 418119714X xsn 19-08-22 60 01 0705 4181213781 OLRD z 19-08-22 63 01 3401 4181228754 ORD x 19-08-22 70 01 0089 4181236420 zdo 19-08-22 105 01 0841 4181322653 z 19-08-22 110 01 3110 4181246159 x 19-08-22 132 01 0959 4181257045 OLR-DISS x 19-08-22 151 01 0546 4181271102 OLR-ODISS z 19-08-22 161 01 0960 4181277658 ORD z 19-08-22 293 01 3293 4181310728 ORD z 19-08-22 370 01 4370 4181318117 x 19-08-22 2027 01 DE-105 4171351464 00 --%%-- 22.1950 pdf p --%%-- l01 21-07-22 2403 01 DE-LFER 4190989703 00 --%%-- --%%-- n --%%-- l01 22-09-22 20 01 0084 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 21 01 0046 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 22 01 0018 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 23 01 0830 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 30 01 0104 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 40 01 0007 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 60 01 0705 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 63 01 3401 E-Book https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 LF 70 01 0089 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 105 01 0841 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 110 01 3110 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 132 01 0959 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 151 01 0546 Volltext https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 161 01 0960 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 293 01 3293 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 370 01 4370 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 2403 01 DE-LFER https://nbn-resolving.org/urn:nbn:de:bsz:105-qucosa2-798522 2027 01 DE-105 00 s ebook 60 01 0705 10 ho 2027 01 DE-105 00 (DE-627)1298694981 DK 550.822/.83 2027 01 DE-105 00 (DE-627)1293305979 DK 550.84 2027 01 DE-105 00 (DE-627)1297934342 DK 550.8.04 2027 01 DE-105 00 (DE-627)1292244216 DK 550.8.05 2027 01 DE-105 00 (DE-627)1293572322 DK 550.42 2027 01 DE-105 00 (DE-627)1298962862 DK 550.43 2027 01 DE-105 00 (DE-627)1300372095 DK 519.718 2027 01 DE-105 00 (DE-627)1292109262 DK 543.42 2027 01 DE-105 00 (DE-627)1293812447 DK 55.001.57 2027 01 DE-105 00 (DE-627)1293391980 DK 51-7 2027 01 DE-105 00 (DE-627)1293763926 DK 549.08 2027 01 DE-105 00 (DE-627)1293869414 DK 553.08 2027 01 DE-105 00 (DE-627)1903091586 DK 681.14.022 2027 01 DE-105 00 (DE-627)129278105X DK 378.245 2027 01 DE-105 00 FGAUT 20 01 0084 OLRD 110 01 3110 OLRD 370 01 4370 OLRD 22 01 0018 SUBolrd 23 01 0830 olr-d 60 01 0705 OLRD 63 01 3401 ORD 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 161 01 0960 ORD 293 01 3293 ORD 23 01 0830 2022-08-19:14:42:23
allfieldsSound	urn:nbn:de:bsz:105-qucosa2-798522 urn (DE-627)181113081X (DE-599)KXP181113081X DE-627 ger DE-627 rda eng XA-DE-SN 551.41 DE-101 550 DE-101 MONTAN DE-105 fid Contreras Acosta, Isabel Cecilia 1990- verfasserin (DE-588)1262107296 (DE-627)1809645336 aut Improving drill-core hyperspectral mineral mapping using machine learning by Isabel Cecilia Contreras Acosta, M.Sc. ; Gutachter: Dr. Richard Gloaguen (Helmholtz Institute Freiberg for Resource Technology, Helmholtz-Zentrum Dresden-Rossendorf, Germany), Prof. Dr. Jörg Benndorf (Technische Universität Bergakademie Freiberg, Germany), Dr. Antonio Plaza (Universidad de Extremadura, Spain) Freiberg 2022 1 Online-Ressource (xxii, 109 Seiten) Illustrationen, Diagramme Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Volltext: PDF Literaturverzeichnis Seite 93-109 Date of the award: 06 July 2022 Dissertation Technische Universität Bergakademie Freiberg 2022 Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content s (DE-588)4146236-1 (DE-627)104393343 (DE-576)209747587 Bohrkern gnd s (DE-588)4277405-6 (DE-627)104287357 (DE-576)210726644 Bohrkernuntersuchung gnd s (DE-588)4156664-6 (DE-627)105506729 (DE-576)209828579 Geochemische Prospektion gnd s (DE-588)4155272-6 (DE-627)10551702X (DE-576)209817615 Datenerhebung gnd s (DE-588)1078791082 (DE-627)839459505 (DE-576)451818229 Hyperspektraler Sensor gnd s (DE-588)4033447-8 (DE-627)106257188 (DE-576)209002050 Künstliche Intelligenz gnd (DE-627) s (DE-588)4039443-8 (DE-627)106228005 (DE-576)209035021 Lagerstätte gnd s (DE-588)4132279-4 (DE-627)105688932 (DE-576)209634227 Mineralisation gnd s (DE-588)4039441-4 (DE-627)106228013 (DE-576)209035013 Mineralischer Rohstoff gnd s (DE-588)4047505-0 (DE-627)106194410 (DE-576)209073780 Prospektion gnd s (DE-588)4020198-3 (DE-627)104529571 (DE-576)20893233X Geochemie gnd s (DE-588)4132368-3 (DE-627)104653485 (DE-576)209634979 Spektralanalyse gnd (DE-627) s (DE-588)4277405-6 (DE-627)104287357 (DE-576)210726644 Bohrkernuntersuchung gnd s (DE-588)4193754-5 (DE-627)105224782 (DE-576)21008944X Maschinelles Lernen gnd s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd s (DE-588)4131193-0 (DE-627)105696773 (DE-576)20962535X Datenauswertung gnd s (DE-588)4170018-1 (DE-627)105405558 (DE-576)209926961 Mineralbestimmung gnd s (DE-588)4140085-9 (DE-627)105630470 (DE-576)209699825 Lagerstättenkunde gnd (DE-627) s (DE-588)4039457-8 (DE-627)106227971 (DE-576)209035056 Mineralogie gnd s (DE-588)1078791082 (DE-627)839459505 (DE-576)451818229 Hyperspektraler Sensor gnd s (DE-588)4142443-8 (DE-627)105613142 (DE-576)209718811 Angewandte Mathematik gnd (DE-627) Gloaguen, Richard akademischer betreuerin (DE-588)1255663847 (DE-627)1799737160 dgs Benndorf, Jörg akademischer betreuerin (DE-588)141518294 (DE-627)629441871 (DE-576)324247494 dgs Plaza, Antonio 1975- akademischer betreuerin (DE-588)1262090784 (DE-627)1809473527 dgs Technische Universität Bergakademie Freiberg Grad-verleihende Institution (DE-588)2134021-3 (DE-627)132896044 (DE-576)194681505 dgg Freiberg (DE-588)4018266-6 (DE-627)104746033 (DE-576)208923519 uvp Erscheint auch als Druck-Ausgabe Contreras Acosta, Isabel Cecilia, 1990 - Improving drill-core hyperspectral mineral mapping using machine learning Freiberg, 2022 xxii, 109 Seiten (DE-627)1809706904 https://nbn-resolving.org/urn:nbn:de:bsz:105-qucosa2-798522 2022-08-03 Resolving-System kostenfrei Volltext https://d-nb.info/1263208347/34 2022-08-03 Langzeitarchivierung Nationalbibliothek kostenfrei GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP FID-MONTAN GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_70 ISIL_DE-89 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_132 ISIL_DE-959 GBV_ILN_151 ISIL_DE-546 GBV_ILN_161 ISIL_DE-960 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2027 ISIL_DE-105 GBV_ILN_2403 ISIL_DE-LFER BO 045F 551.41 20 01 0084 4181124940 x 19-08-22 21 01 0046 4181143511 z 19-08-22 22 01 0018 418116098X SUBolrd xu 19-08-22 23 01 0830 4181176800 olr-d x 19-08-22 30 01 0104 418118739X z 19-08-22 40 01 0007 418119714X xsn 19-08-22 60 01 0705 4181213781 OLRD z 19-08-22 63 01 3401 4181228754 ORD x 19-08-22 70 01 0089 4181236420 zdo 19-08-22 105 01 0841 4181322653 z 19-08-22 110 01 3110 4181246159 x 19-08-22 132 01 0959 4181257045 OLR-DISS x 19-08-22 151 01 0546 4181271102 OLR-ODISS z 19-08-22 161 01 0960 4181277658 ORD z 19-08-22 293 01 3293 4181310728 ORD z 19-08-22 370 01 4370 4181318117 x 19-08-22 2027 01 DE-105 4171351464 00 --%%-- 22.1950 pdf p --%%-- l01 21-07-22 2403 01 DE-LFER 4190989703 00 --%%-- --%%-- n --%%-- l01 22-09-22 20 01 0084 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 21 01 0046 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 22 01 0018 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 23 01 0830 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 30 01 0104 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 40 01 0007 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 60 01 0705 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 63 01 3401 E-Book https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 LF 70 01 0089 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 105 01 0841 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 110 01 3110 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 132 01 0959 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 151 01 0546 Volltext https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 161 01 0960 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 293 01 3293 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 370 01 4370 https://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa2-798522 2403 01 DE-LFER https://nbn-resolving.org/urn:nbn:de:bsz:105-qucosa2-798522 2027 01 DE-105 00 s ebook 60 01 0705 10 ho 2027 01 DE-105 00 (DE-627)1298694981 DK 550.822/.83 2027 01 DE-105 00 (DE-627)1293305979 DK 550.84 2027 01 DE-105 00 (DE-627)1297934342 DK 550.8.04 2027 01 DE-105 00 (DE-627)1292244216 DK 550.8.05 2027 01 DE-105 00 (DE-627)1293572322 DK 550.42 2027 01 DE-105 00 (DE-627)1298962862 DK 550.43 2027 01 DE-105 00 (DE-627)1300372095 DK 519.718 2027 01 DE-105 00 (DE-627)1292109262 DK 543.42 2027 01 DE-105 00 (DE-627)1293812447 DK 55.001.57 2027 01 DE-105 00 (DE-627)1293391980 DK 51-7 2027 01 DE-105 00 (DE-627)1293763926 DK 549.08 2027 01 DE-105 00 (DE-627)1293869414 DK 553.08 2027 01 DE-105 00 (DE-627)1903091586 DK 681.14.022 2027 01 DE-105 00 (DE-627)129278105X DK 378.245 2027 01 DE-105 00 FGAUT 20 01 0084 OLRD 110 01 3110 OLRD 370 01 4370 OLRD 22 01 0018 SUBolrd 23 01 0830 olr-d 60 01 0705 OLRD 63 01 3401 ORD 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 161 01 0960 ORD 293 01 3293 ORD 23 01 0830 2022-08-19:14:42:23
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topic_facet	Bohrkern Bohrkernuntersuchung Geochemische Prospektion Datenerhebung Hyperspektraler Sensor Künstliche Intelligenz Lagerstätte Mineralisation Mineralischer Rohstoff Prospektion Geochemie Spektralanalyse Maschinelles Lernen Datenanalyse Datenauswertung Mineralbestimmung Lagerstättenkunde Mineralogie Angewandte Mathematik
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authorswithroles_txt_mv	Contreras Acosta, Isabel Cecilia @@aut@@ Gloaguen, Richard @@dgs@@ Benndorf, Jörg @@dgs@@ Plaza, Antonio @@dgs@@
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title	Improving drill-core hyperspectral mineral mapping using machine learning
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title_full	Improving drill-core hyperspectral mineral mapping using machine learning by Isabel Cecilia Contreras Acosta, M.Sc. ; Gutachter: Dr. Richard Gloaguen (Helmholtz Institute Freiberg for Resource Technology, Helmholtz-Zentrum Dresden-Rossendorf, Germany), Prof. Dr. Jörg Benndorf (Technische Universität Bergakademie Freiberg, Germany), Dr. Antonio Plaza (Universidad de Extremadura, Spain)
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author_browse	Contreras Acosta, Isabel Cecilia
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physical	1 Online-Ressource (xxii, 109 Seiten) Illustrationen, Diagramme
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author-letter	Contreras Acosta, Isabel Cecilia
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title_sort	improving drill-core hyperspectral mineral mapping using machine learning
title_auth	Improving drill-core hyperspectral mineral mapping using machine learning
abstract	Volltext: PDF Literaturverzeichnis Seite 93-109 Date of the award: 06 July 2022
abstractGer	Volltext: PDF Literaturverzeichnis Seite 93-109 Date of the award: 06 July 2022
abstract_unstemmed	Volltext: PDF Literaturverzeichnis Seite 93-109 Date of the award: 06 July 2022
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title_short	Improving drill-core hyperspectral mineral mapping using machine learning
url	https://nbn-resolving.org/urn:nbn:de:bsz:105-qucosa2-798522 https://d-nb.info/1263208347/34
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author2	Gloaguen, Richard Benndorf, Jörg Plaza, Antonio 1975- Technische Universität Bergakademie Freiberg
author2Str	Gloaguen, Richard Benndorf, Jörg Plaza, Antonio 1975- Technische Universität Bergakademie Freiberg
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up_date	2024-09-24T05:43:00.463Z
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Improving drill-core hyperspectral mineral mapping using machine learning

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