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20260601080823.0 |
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m o d |
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GBC577461 |
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bnb |
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300583169 |
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Uk |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9781394335688 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9781394335718 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
1394335717 |
| Qualifying information |
electronic book |
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9781394335701 |
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electronic book |
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1394335709 |
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electronic book |
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| International Standard Book Number |
1394335695 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9781394335695 |
| Qualifying information |
(electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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1394335687 |
| Qualifying information |
hardcover |
| 041 ## - LANGUAGE CODE |
| Language code of text/sound track or separate title |
eng |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
| Classification number |
QA76.87 |
| Item number |
.I58 2025 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Edition number |
23 |
| Classification number |
006.3/2 |
| 245 00 - TITLE STATEMENT |
| Title |
Integrating neurocomputing with artificial intelligence / |
| Statement of responsibility, etc |
Abhishek Kumar... [and 3 others]. |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
| Place of publication, distribution, etc |
Hoboken, NJ : |
| Name of publisher, distributor, etc |
John Wiley & Sons, Inc. ; |
| Place of publication, distribution, etc |
Beverly, MA : |
| Name of publisher, distributor, etc |
Scrivener Publishing LLC, |
| Date of publication, distribution, etc |
2025. |
| 264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
| Date of publication, distribution, etc |
©2025 |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
1 online resource |
| 336 ## - CONTENT TYPE |
| Content type term |
text |
| Content type code |
txt |
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rdacontent |
| 337 ## - MEDIA TYPE |
| Media type term |
computer |
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c |
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rdamedia |
| 338 ## - CARRIER TYPE |
| Carrier type term |
online resource |
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cr |
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rdacarrier |
| 505 0# - CONTENTS |
| Miscellaneous information |
Table of Contents<br/>Foreword xiii<br/><br/>Preface xv<br/><br/>1 Integrating Fog Computing with AI Model on Decision Making for Distribution of Energy Management 1<br/>Prajwal Hegde N., Parvathi C., Ajay Malpani, D. Suganthi and Priya Batta<br/><br/>2 Construction and Simulation of Hybrid Neural Network and LSTM to Language Process Model<br/>Kiran Sree Pokkuluri, Ramakrishna Kolikipogu, K.S. Chakradhar, Rama Devi P. and Mamta<br/><br/>3 An Approach to Ensure the Safety of Industry 4.0 Mobile Robots 33<br/>P. Balaji Srikaanth, Rajeshwari M. Hegde, Ramachandra V. Ballary, Poornachandran R., R. Senthamil Selvan and Amandeep Kaur<br/><br/>4 Feature Extrusion and Categorization of Disease by Hybrid Neuro-Fuzzy Computing 49<br/>Manideep Yenugula, K.S. Chakradhar, Makhan Kumbhkar, D. Victorseelan and Rupinder Karur<br/><br/>5 AI Based Neuromorphic Vision to Control the Robotic Drilling Machine 69<br/>Venkat Namdev Ghodke, Rajeshwari M. Hegde, Ramachandra V. Ballary and R. Senthamil Selvan<br/><br/>6 Design and Development of AI Neuromorphic to Control the Autonomous Driving System 87<br/>J. Balamurugan, Mohammed Mahaboob Basha, Mamatha Bai B. G., J. A. Jevin, Rakesh Bharti and R. Senthamil Selvan<br/><br/>7 Design of Brain-Computer Interface System to Develop Humanoid Robot 105<br/>R. Raffik, K. Senthilkumar, A. Sakira Parveen, K. Akila, B. Sabitha and P. Magudapathi<br/><br/>8 AI-Based Neural Network Used to Enhance the Decision-Making System to Improve Operational Performance 123<br/>G. Naga Rama Devi, Manthena Swapna Kumari, Vijaykumar S. Biradar, Manish Maheshwari, Subramanian Selvakumar and Jenita Subash<br/><br/>9 Simulation and Implementation of English Speech Recognition by NLP 139<br/>K. Kavita, K. Suresh Kumar, Sridevi Dasam and Kiran Sree Pokkuluri<br/><br/>10 Deep Learning-Based Neuro Computing to Classify and Diagnosis of Ophthalmology by OCT 159<br/>D. Arul Pon Daniel, Santhana Sagaya Mary A. and S. Chidambaranathan<br/><br/>11 Deep CNN-Based Multi-Image Steganography: Private Key 175<br/>S. Pavan Kumar Reddy, K. Suresh Kumar, Madhu G.C. and Pavitar Parkash Singh<br/><br/>12 Automatic Classification of Honey Bee Subspecies by AI-Based Neural Network 191<br/>B. Sai Chandana, Ravindra Changala, R. Sivaraman and Anand Bhat B.<br/><br/>13 Acoustic Modeling and Evaluation of Speech Recognition by Neural Networks 207<br/>Y. Ramadevi, K. Suresh Kumar, Venkata Pavankumar and G.N.R. Prasad<br/><br/>14 Brain-Computer Interface for Humanoid Robot Control Adaptation 227<br/>B. Sai Chandana, K.S. Chakradhar, T. Rajasanthosh Kumar and Makhan Kumbhkar<br/><br/>15 Evaluation and Validation of Type 1 Diabetes Clinical Data by GAN 243<br/>Robin Rohit Vincent, Senthilkumar Moorthy, F. Nisha and Soumya<br/><br/>16 Exploring Neuromorphic Computing with Deep Learning: Unveiling Opportunities, Applications, and Overcoming Challenges 261<br/>Yogesh Kumar Sharma, Smitha, Shaik Saddam Hussain and Leena Arya<br/><br/>17 Quantum Neurocomputing: Bridging the Frontiers of Quantum Computing and Neural Networks 287<br/>Smitha, Yogesh Kumar Sharma, Muniraju Naidu Vadlamudi and Leena Arya<br/><br/>References 303<br/><br/>Index 307 |
| 520 ## - SUMMARY, ETC. |
| Summary, etc |
Integrating Neurocomputing with Artificial Intelligence provides unparalleled insights into the cutting-edge convergence of neuroscience and computing, enriched with real-world case studies and expert analyses that harness the transformative potential of neurocomputing in various disciplines. Integrating Neurocomputing with Artificial Intelligence is a comprehensive volume that delves into the forefront of the neurocomputing landscape, offering a rich tapestry of insights and cutting-edge innovations. This volume unfolds as a carefully curated collection of research, showcasing multidimensional perspectives on the intersection of neuroscience and computing. Readers can expect a deep exploration of fundamental theories, methodologies, and breakthrough applications that span the spectrum of neurocomputing. Throughout the book, readers will find a wealth of case studies and real-world examples that exemplify how neurocomputing is being harnessed to address complex challenges across different disciplines. Experts and researchers in the field contribute their expertise, presenting in-depth analyses, empirical findings, and forward-looking projections. Integrating Neurocomputing with Artificial Intelligence serves as a gateway to this fascinating domain, offering a comprehensive exploration of neurocomputing's foundations, contemporary developments, ethical considerations, and future trajectories. It embodies a collective endeavor to drive progress and unlock the potential of neurocomputing, setting the stage for a future where artificial intelligence is not merely artificial, but profoundly inspired by the elegance and efficiency of the human brain. |
| 545 0# - BIOGRAPHICAL OR HISTORICAL DATA |
| Biographical or historical note |
About the Author<br/>Abhishek Kumar, PhD is a professor and Assistant Director in the Computer Science and Engineering Department at Chandigarh University, Punjab with over 13 years of teaching experience. He has published over 170 peer-reviewed papers, seven books, and one patent and edited over 50 volumes. His research interests include artificial intelligence, renewable energy systems, image processing, and data mining.<br/><br/>Pramod Singh Rathore is an assistant professor in the Department of Computer and Communication Engineering at Manipal University with over 11 years of teaching experience. He has published over 55 papers in reputable national and international journals, books, and conferences. His research interests include NS2, computer networks, mining, and database management systems.<br/><br/>Sachin Ahuja, PhD is the Executive Director of Engineering at Chandigarh University with extensive research and academic experience. He has served in key academic positions at various reputed higher education institutes, guiding several master’s and doctoral scholars in areas including artificial intelligence, machine learning, and data mining.<br/><br/>Umesh Kumar Lilhore, PhD is affiliated with Galgotias University where he actively engages in academic leadership, research, and mentoring. He has published over 100 scholarly articles and is a senior member of the Institue for Electrical and Electronics Engineers. His areas of expertise include artificial intelligence, machine learning, Internet of Things (IoT), cloud computing, and cybersecurity.<br/><br/> |
| 588 ## - SOURCE OF DESCRIPTION NOTE |
| Source of description note |
Description based on online resource; title from digital title page (viewed on June 17, 2025). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Neural networks (Computer science) |
| Authority record control number |
http://id.loc.gov/authorities/subjects/sh90001937 |
| 655 #0 - INDEX TERM--GENRE/FORM |
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Electronic books. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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Kumar, Abhishek, |
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editor. |
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https://id.oclc.org/worldcat/entity/E39PCjyrjmqH44JDQfdDRqr8YP |
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http://id.loc.gov/authorities/names/no2013101885 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
| Uniform Resource Identifier |
https://onlinelibrary.wiley.com/doi/book/10.1002/9781394335718 |
| Link text |
Full text is available at Wiley Online Library Click here to view |
| 942 ## - ADDED ENTRY ELEMENTS |
| Source of classification or shelving scheme |
|
| Item type |
EBOOK |