Deep learning applications and intelligent decision making in engineering:
"This book explores the application of deep learning in building a smart world, ranging from smart cities, smart agriculture to smart homes"--
Gespeichert in:
| Weitere Verfasser: | , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2020.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book explores the application of deep learning in building a smart world, ranging from smart cities, smart agriculture to smart homes"-- |
| Beschreibung: | 18 PDFs (332 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781799821106 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 245 | 0 | 0 | |a Deep learning applications and intelligent decision making in engineering |c Karthikrajan Senthilnathan, Balamurugan Shanmugam, Dinesh Goyal, Iyswarya Annapoorani and Ravi Samikannu, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2020. | |
| 300 | |a 18 PDFs (332 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Deep learning in IoT: introduction, applications, and perspective in the big data era -- Chapter 2. Deep learning architectures and tools: a comprehensive survey -- Chapter 3. Facial emotion recognition system using entire feature vectors and supervised classifier -- Chapter 4. Kidnet: kidney tumour diagnosis system Design using deep convolutional neural network -- Chapter 5. Liver disease detection using grey wolf optimization and random forest classification -- Chapter 6. Deep neural network-based android malware detection (d-AMD) -- Chapter 7. Deep learning with conceptual view in meta data for content categorization -- Chapter 8. A fully automated crop disease monitoring and management system based on IoT: IoT-based disease identification for banana leaf -- Chapter 9. Analysis of heart disorder by using machine learning methods and data mining techniques -- Chapter 10. Deep learning in engineering education: implementing a deep learning approach for the performance prediction in educational information systems -- Chapter 11. Deep learning solutions for agricultural and farming activities. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book explores the application of deep learning in building a smart world, ranging from smart cities, smart agriculture to smart homes"-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 10/11/2020). | ||
| 650 | 0 | |a Computational intelligence. | |
| 650 | 0 | |a Engineering |x Data processing. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Smart materials. | |
| 650 | 7 | |a Computational intelligence. |2 fast | |
| 650 | 7 | |a Engineering |x Data processing. |2 fast | |
| 650 | 7 | |a Machine learning. |2 fast | |
| 650 | 7 | |a Smart materials. |2 fast | |
| 700 | 1 | |a Annapoorani, Iyswarya |d 1976- |e editor. | |
| 700 | 1 | |a Goyal, Dinesh |d 1976- |e editor. | |
| 700 | 1 | |a Samikannu, Ravi |d 1982- |e editor. | |
| 700 | 1 | |a Senthilnathan, Karthikrajan |d 1991- |e editor. | |
| 700 | 1 | |a Shanmugam, Balamurugan |d 1985- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2019036935 | |
| 776 | 0 | 8 | |i Print version: |z 1799821080 |z 9781799821083 |w (DLC) 2019036935 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2108-3 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00235690 |
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| _version_ | 1816797082969702400 |
| adam_text | |
| any_adam_object | |
| author2 | Annapoorani, Iyswarya 1976- Goyal, Dinesh 1976- Samikannu, Ravi 1982- Senthilnathan, Karthikrajan 1991- Shanmugam, Balamurugan 1985- |
| author2_role | edt edt edt edt edt |
| author2_variant | i a ia d g dg r s rs k s ks b s bs |
| author_facet | Annapoorani, Iyswarya 1976- Goyal, Dinesh 1976- Samikannu, Ravi 1982- Senthilnathan, Karthikrajan 1991- Shanmugam, Balamurugan 1985- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | T - Technology |
| callnumber-label | TA347 |
| callnumber-raw | TA347.A78 D44 2020e |
| callnumber-search | TA347.A78 D44 2020e |
| callnumber-sort | TA 3347 A78 D44 42020E |
| callnumber-subject | TA - General and Civil Engineering |
| collection | ZDB-98-IGB |
| contents | Chapter 1. Deep learning in IoT: introduction, applications, and perspective in the big data era -- Chapter 2. Deep learning architectures and tools: a comprehensive survey -- Chapter 3. Facial emotion recognition system using entire feature vectors and supervised classifier -- Chapter 4. Kidnet: kidney tumour diagnosis system Design using deep convolutional neural network -- Chapter 5. Liver disease detection using grey wolf optimization and random forest classification -- Chapter 6. Deep neural network-based android malware detection (d-AMD) -- Chapter 7. Deep learning with conceptual view in meta data for content categorization -- Chapter 8. A fully automated crop disease monitoring and management system based on IoT: IoT-based disease identification for banana leaf -- Chapter 9. Analysis of heart disorder by using machine learning methods and data mining techniques -- Chapter 10. Deep learning in engineering education: implementing a deep learning approach for the performance prediction in educational information systems -- Chapter 11. Deep learning solutions for agricultural and farming activities. |
| ctrlnum | (CaBNVSL)slc00000820 (OCoLC)1199992734 |
| dewey-full | 620.00285/631 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 620 - Engineering and allied operations |
| dewey-raw | 620.00285/631 |
| dewey-search | 620.00285/631 |
| dewey-sort | 3620.00285 3631 |
| dewey-tens | 620 - Engineering and allied operations |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00235690 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:51:56Z |
| institution | BVB |
| isbn | 9781799821106 |
| language | English |
| oclc_num | 1199992734 |
| open_access_boolean | |
| owner | DE-863 DE-BY-FWS |
| owner_facet | DE-863 DE-BY-FWS |
| physical | 18 PDFs (332 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | IGI Global, |
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| spelling | Deep learning applications and intelligent decision making in engineering Karthikrajan Senthilnathan, Balamurugan Shanmugam, Dinesh Goyal, Iyswarya Annapoorani and Ravi Samikannu, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2020. 18 PDFs (332 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Deep learning in IoT: introduction, applications, and perspective in the big data era -- Chapter 2. Deep learning architectures and tools: a comprehensive survey -- Chapter 3. Facial emotion recognition system using entire feature vectors and supervised classifier -- Chapter 4. Kidnet: kidney tumour diagnosis system Design using deep convolutional neural network -- Chapter 5. Liver disease detection using grey wolf optimization and random forest classification -- Chapter 6. Deep neural network-based android malware detection (d-AMD) -- Chapter 7. Deep learning with conceptual view in meta data for content categorization -- Chapter 8. A fully automated crop disease monitoring and management system based on IoT: IoT-based disease identification for banana leaf -- Chapter 9. Analysis of heart disorder by using machine learning methods and data mining techniques -- Chapter 10. Deep learning in engineering education: implementing a deep learning approach for the performance prediction in educational information systems -- Chapter 11. Deep learning solutions for agricultural and farming activities. Restricted to subscribers or individual electronic text purchasers. "This book explores the application of deep learning in building a smart world, ranging from smart cities, smart agriculture to smart homes"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 10/11/2020). Computational intelligence. Engineering Data processing. Machine learning. Smart materials. Computational intelligence. fast Engineering Data processing. fast Machine learning. fast Smart materials. fast Annapoorani, Iyswarya 1976- editor. Goyal, Dinesh 1976- editor. Samikannu, Ravi 1982- editor. Senthilnathan, Karthikrajan 1991- editor. Shanmugam, Balamurugan 1985- editor. IGI Global, publisher. (Original) (DLC)2019036935 Print version: 1799821080 9781799821083 (DLC) 2019036935 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2108-3 Volltext |
| spellingShingle | Deep learning applications and intelligent decision making in engineering Chapter 1. Deep learning in IoT: introduction, applications, and perspective in the big data era -- Chapter 2. Deep learning architectures and tools: a comprehensive survey -- Chapter 3. Facial emotion recognition system using entire feature vectors and supervised classifier -- Chapter 4. Kidnet: kidney tumour diagnosis system Design using deep convolutional neural network -- Chapter 5. Liver disease detection using grey wolf optimization and random forest classification -- Chapter 6. Deep neural network-based android malware detection (d-AMD) -- Chapter 7. Deep learning with conceptual view in meta data for content categorization -- Chapter 8. A fully automated crop disease monitoring and management system based on IoT: IoT-based disease identification for banana leaf -- Chapter 9. Analysis of heart disorder by using machine learning methods and data mining techniques -- Chapter 10. Deep learning in engineering education: implementing a deep learning approach for the performance prediction in educational information systems -- Chapter 11. Deep learning solutions for agricultural and farming activities. Computational intelligence. Engineering Data processing. Machine learning. Smart materials. Computational intelligence. fast Engineering Data processing. fast Machine learning. fast Smart materials. fast |
| title | Deep learning applications and intelligent decision making in engineering |
| title_auth | Deep learning applications and intelligent decision making in engineering |
| title_exact_search | Deep learning applications and intelligent decision making in engineering |
| title_full | Deep learning applications and intelligent decision making in engineering Karthikrajan Senthilnathan, Balamurugan Shanmugam, Dinesh Goyal, Iyswarya Annapoorani and Ravi Samikannu, editors. |
| title_fullStr | Deep learning applications and intelligent decision making in engineering Karthikrajan Senthilnathan, Balamurugan Shanmugam, Dinesh Goyal, Iyswarya Annapoorani and Ravi Samikannu, editors. |
| title_full_unstemmed | Deep learning applications and intelligent decision making in engineering Karthikrajan Senthilnathan, Balamurugan Shanmugam, Dinesh Goyal, Iyswarya Annapoorani and Ravi Samikannu, editors. |
| title_short | Deep learning applications and intelligent decision making in engineering |
| title_sort | deep learning applications and intelligent decision making in engineering |
| topic | Computational intelligence. Engineering Data processing. Machine learning. Smart materials. Computational intelligence. fast Engineering Data processing. fast Machine learning. fast Smart materials. fast |
| topic_facet | Computational intelligence. Engineering Data processing. Machine learning. Smart materials. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2108-3 |
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