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Deep learning applications and intel...

Senthilnathan, Karthikrajan, (1991-)

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Deep learning applications and intelligent decision making in engineering

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Deep learning applications and intelligent decision making in engineering/ Karthikrajan Senthilnathan, Balamurugan Shanmugam, Dinesh Goyal, Iyswarya Annapoorani and Ravi Samikannu, editors.
其他作者:	Senthilnathan, Karthikrajan,
出版者:	Hershey, Pennsylvania :IGI Global, : 2020.,
面頁冊數:	1 online resource (xiv, 332p.)
內容註:	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.
標題:	Engineering - Data processing. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2108-3
ISBN:	9781799821106 (ebk.)

Deep learning applications and intelligent decision making in engineering
Deep learning applications and intelligent decision making in engineering[electronic resource] /Karthikrajan Senthilnathan, Balamurugan Shanmugam, Dinesh Goyal, Iyswarya Annapoorani and Ravi Samikannu, editors. - Hershey, Pennsylvania :IGI Global,2020. - 1 online resource (xiv, 332p.)

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.

"This book explores the application of deep learning in building a smart world, ranging from smart cities, smart agriculture to smart homes"--

ISBN: 9781799821106 (ebk.)Subjects--Topical Terms:

570384
Engineering
--Data processing.

LC Class. No.: TA347.A78 / D44 2020

Dewey Class. No.: 620.00285/631

Deep learning applications and intelligent decision making in engineering
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245 0 0 $a Deep learning applications and intelligent decision making in engineering $h [electronic resource] / $c Karthikrajan Senthilnathan, Balamurugan Shanmugam, Dinesh Goyal, Iyswarya Annapoorani and Ravi Samikannu, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2020.
300 $a 1 online resource (xiv, 332p.)
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.
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.
650 0 $a Engineering $x Data processing. $3 570384
650 0 $a Computational intelligence. $3 595739
650 0 $a Machine learning. $3 533906
650 0 $a Smart materials. $3 606595
700 1 $a Senthilnathan, Karthikrajan, $d 1991- $3 3510702
700 1 $a Shanmugam, Balamurugan, $d 1985- $3 3510703
700 1 $a Goyal, Dinesh, $d 1976- $3 3510586
700 1 $a Annapoorani, Iyswarya, $d 1976- $3 3510704
700 1 $a Samikannu, Ravi, $d 1982- $3 3510705
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2108-3