Neuromorphic computing systems for industry 4.0:
"The comprehensive and timely publication aims to be an essential reference source, on the available literature in the field of Neural computing-based Microchip Technology. This will provide further research opportunities in these dynamic fields. It is hoped that this handbook will provide the...
Gespeichert in:
| Weitere Verfasser: | , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey PA, USA
IGI Global
[2023]
|
| Schriftenreihe: | Advances in systems analysis, software engineering, and high performance computing (ASASEHPC)
|
| Schlagworte: | |
| Online-Zugang: | DE-91 DE-706 DE-83 DE-898 DE-1050 Volltext |
| Zusammenfassung: | "The comprehensive and timely publication aims to be an essential reference source, on the available literature in the field of Neural computing-based Microchip Technology. This will provide further research opportunities in these dynamic fields. It is hoped that this handbook will provide the resources necessary for researchers, advanced level students, technology developers to adopt and implement the advances in technology and applications"-- |
| Beschreibung: | 1 Online-Ressource (xxiii, 377 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781668465981 |
| DOI: | 10.4018/978-1-6684-6596-7 |
Internformat
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| 245 | 1 | 0 | |a Neuromorphic computing systems for industry 4.0 |c S. Dhanasekar (Department of ECE, Sri Eshwar College of Engineering, India), K. Martin Sagayam (Karunya Institute of Technology and Sciences, India), Surbhi Vijh (ASET, Amity University, Noida, India), Vipin Tyagi (Jaypee University of Engineering and Technology, India), Alex Norta (Tallinn University, Estonia) |
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| 505 | 8 | |a Preface -- Chapter 1. Introduction to Neuromorphic Computing Systems -- Chapter 2. Neuromorphic Computing: Implementation and Open Issues -- Chapter 3. An RRAM-Based Neuromorphic Accelerator for Speech-Based Emotion Recognition -- Chapter 4. VLSI Implementation of Neural Systems -- Chapter 5. Prediction of Skin Cancer Using Convolutional Neural Network (CNN) -- Chapter 6. Energy and Performance Analysis of Robotic Applications Using Artificial Neural Network -- Chapter 7. Strategies for Automated Bike-Sharing Systems Leveraging ML and VLSI Approaches -- Chapter 8. ML-Based Finger-Vein Biometric Authentication and Hardware Implementation Strategies -- Chapter 9. Digital Implementation of Neural Network by Partial Reconfiguration -- Chapter 10. Attacks by Hardware Trojans on Neural Networks -- Chapter 11. Biologically Inspired SNN for Robot Control -- Chapter 12. Spiking Neural Networks for Robotic Applications -- Compilation of References -- About the Contributors -- Index | |
| 520 | 3 | |a "The comprehensive and timely publication aims to be an essential reference source, on the available literature in the field of Neural computing-based Microchip Technology. This will provide further research opportunities in these dynamic fields. It is hoped that this handbook will provide the resources necessary for researchers, advanced level students, technology developers to adopt and implement the advances in technology and applications"-- | |
| 653 | 0 | |a Neuromorphics | |
| 653 | 0 | |a Neural computers | |
| 653 | 0 | |a Artificial intelligence | |
| 653 | 0 | |a Industry 4.0 | |
| 700 | 1 | |a Dhanasekar, Subramaniyam |d 1983- |4 edt | |
| 700 | 1 | |a Sagayam, K. Martin |d 1987- |0 (DE-588)1277017034 |4 edt | |
| 700 | 1 | |a Vijh, Surbhi |d 1993- |4 edt | |
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Datensatz im Suchindex
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| author2 | Dhanasekar, Subramaniyam 1983- Sagayam, K. Martin 1987- Vijh, Surbhi 1993- Tyagi, Vipin Norta, Alex 1972- |
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| contents | Preface -- Chapter 1. Introduction to Neuromorphic Computing Systems -- Chapter 2. Neuromorphic Computing: Implementation and Open Issues -- Chapter 3. An RRAM-Based Neuromorphic Accelerator for Speech-Based Emotion Recognition -- Chapter 4. VLSI Implementation of Neural Systems -- Chapter 5. Prediction of Skin Cancer Using Convolutional Neural Network (CNN) -- Chapter 6. Energy and Performance Analysis of Robotic Applications Using Artificial Neural Network -- Chapter 7. Strategies for Automated Bike-Sharing Systems Leveraging ML and VLSI Approaches -- Chapter 8. ML-Based Finger-Vein Biometric Authentication and Hardware Implementation Strategies -- Chapter 9. Digital Implementation of Neural Network by Partial Reconfiguration -- Chapter 10. Attacks by Hardware Trojans on Neural Networks -- Chapter 11. Biologically Inspired SNN for Robot Control -- Chapter 12. Spiking Neural Networks for Robotic Applications -- Compilation of References -- About the Contributors -- Index |
| ctrlnum | (ZDB-98-IGB)9781668465981 (OCoLC)1401199093 (DE-599)BVBBV049102576 |
| discipline | Informatik Wirtschaftswissenschaften |
| discipline_str_mv | Informatik Wirtschaftswissenschaften |
| doi_str_mv | 10.4018/978-1-6684-6596-7 |
| format | Electronic eBook |
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| id | DE-604.BV049102576 |
| illustrated | Illustrated |
| index_date | 2024-07-03T22:33:04Z |
| indexdate | 2024-12-17T19:01:36Z |
| institution | BVB |
| isbn | 9781668465981 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034364081 |
| oclc_num | 1401199093 |
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| physical | 1 Online-Ressource (xxiii, 377 Seiten) Illustrationen, Diagramme |
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| series2 | Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) |
| spelling | Neuromorphic computing systems for industry 4.0 S. Dhanasekar (Department of ECE, Sri Eshwar College of Engineering, India), K. Martin Sagayam (Karunya Institute of Technology and Sciences, India), Surbhi Vijh (ASET, Amity University, Noida, India), Vipin Tyagi (Jaypee University of Engineering and Technology, India), Alex Norta (Tallinn University, Estonia) Hershey PA, USA IGI Global [2023] 1 Online-Ressource (xxiii, 377 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) Preface -- Chapter 1. Introduction to Neuromorphic Computing Systems -- Chapter 2. Neuromorphic Computing: Implementation and Open Issues -- Chapter 3. An RRAM-Based Neuromorphic Accelerator for Speech-Based Emotion Recognition -- Chapter 4. VLSI Implementation of Neural Systems -- Chapter 5. Prediction of Skin Cancer Using Convolutional Neural Network (CNN) -- Chapter 6. Energy and Performance Analysis of Robotic Applications Using Artificial Neural Network -- Chapter 7. Strategies for Automated Bike-Sharing Systems Leveraging ML and VLSI Approaches -- Chapter 8. ML-Based Finger-Vein Biometric Authentication and Hardware Implementation Strategies -- Chapter 9. Digital Implementation of Neural Network by Partial Reconfiguration -- Chapter 10. Attacks by Hardware Trojans on Neural Networks -- Chapter 11. Biologically Inspired SNN for Robot Control -- Chapter 12. Spiking Neural Networks for Robotic Applications -- Compilation of References -- About the Contributors -- Index "The comprehensive and timely publication aims to be an essential reference source, on the available literature in the field of Neural computing-based Microchip Technology. This will provide further research opportunities in these dynamic fields. It is hoped that this handbook will provide the resources necessary for researchers, advanced level students, technology developers to adopt and implement the advances in technology and applications"-- Neuromorphics Neural computers Artificial intelligence Industry 4.0 Dhanasekar, Subramaniyam 1983- edt Sagayam, K. Martin 1987- (DE-588)1277017034 edt Vijh, Surbhi 1993- edt Tyagi, Vipin edt Norta, Alex 1972- edt Erscheint auch als Druck-Ausgabe 9781668465967 http://doi.org/10.4018/978-1-6684-6596-7 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Neuromorphic computing systems for industry 4.0 Preface -- Chapter 1. Introduction to Neuromorphic Computing Systems -- Chapter 2. Neuromorphic Computing: Implementation and Open Issues -- Chapter 3. An RRAM-Based Neuromorphic Accelerator for Speech-Based Emotion Recognition -- Chapter 4. VLSI Implementation of Neural Systems -- Chapter 5. Prediction of Skin Cancer Using Convolutional Neural Network (CNN) -- Chapter 6. Energy and Performance Analysis of Robotic Applications Using Artificial Neural Network -- Chapter 7. Strategies for Automated Bike-Sharing Systems Leveraging ML and VLSI Approaches -- Chapter 8. ML-Based Finger-Vein Biometric Authentication and Hardware Implementation Strategies -- Chapter 9. Digital Implementation of Neural Network by Partial Reconfiguration -- Chapter 10. Attacks by Hardware Trojans on Neural Networks -- Chapter 11. Biologically Inspired SNN for Robot Control -- Chapter 12. Spiking Neural Networks for Robotic Applications -- Compilation of References -- About the Contributors -- Index |
| title | Neuromorphic computing systems for industry 4.0 |
| title_auth | Neuromorphic computing systems for industry 4.0 |
| title_exact_search | Neuromorphic computing systems for industry 4.0 |
| title_exact_search_txtP | Neuromorphic computing systems for industry 4.0 |
| title_full | Neuromorphic computing systems for industry 4.0 S. Dhanasekar (Department of ECE, Sri Eshwar College of Engineering, India), K. Martin Sagayam (Karunya Institute of Technology and Sciences, India), Surbhi Vijh (ASET, Amity University, Noida, India), Vipin Tyagi (Jaypee University of Engineering and Technology, India), Alex Norta (Tallinn University, Estonia) |
| title_fullStr | Neuromorphic computing systems for industry 4.0 S. Dhanasekar (Department of ECE, Sri Eshwar College of Engineering, India), K. Martin Sagayam (Karunya Institute of Technology and Sciences, India), Surbhi Vijh (ASET, Amity University, Noida, India), Vipin Tyagi (Jaypee University of Engineering and Technology, India), Alex Norta (Tallinn University, Estonia) |
| title_full_unstemmed | Neuromorphic computing systems for industry 4.0 S. Dhanasekar (Department of ECE, Sri Eshwar College of Engineering, India), K. Martin Sagayam (Karunya Institute of Technology and Sciences, India), Surbhi Vijh (ASET, Amity University, Noida, India), Vipin Tyagi (Jaypee University of Engineering and Technology, India), Alex Norta (Tallinn University, Estonia) |
| title_short | Neuromorphic computing systems for industry 4.0 |
| title_sort | neuromorphic computing systems for industry 4 0 |
| url | http://doi.org/10.4018/978-1-6684-6596-7 |
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