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. 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. 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. 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.

• Foreword xiiiPreface xv1 Integrating Fog Computing with AI Model on Decision Making for Distribution of Energy Management 1Prajwal Hegde N., Parvathi C., Ajay Malpani, D. Suganthi and Priya Batta2 Construction and Simulation of Hybrid Neural Network and LSTM to Language Process ModelKiran Sree Pokkuluri, Ramakrishna Kolikipogu, K.S. Chakradhar, Rama Devi P. and Mamta3 An Approach to Ensure the Safety of Industry 4.0 Mobile Robots 33P. Balaji Srikaanth, Rajeshwari M. Hegde, Ramachandra V. Ballary, Poornachandran R., R. Senthamil Selvan and Amandeep Kaur4 Feature Extrusion and Categorization of Disease by Hybrid Neuro-Fuzzy Computing 49Manideep Yenugula, K.S. Chakradhar, Makhan Kumbhkar, D. Victorseelan and Rupinder Karur5 AI Based Neuromorphic Vision to Control the Robotic Drilling Machine 69Venkat Namdev Ghodke, Rajeshwari M. Hegde, Ramachandra V. Ballary and R. Senthamil Selvan6 Design and Development of AI Neuromorphic to Control the Autonomous Driving System 87J. Balamurugan, Mohammed Mahaboob Basha, Mamatha Bai B. G., J. A. Jevin, Rakesh Bharti and R. Senthamil Selvan7 Design of Brain-Computer Interface System to Develop Humanoid Robot 105R. Raffik, K. Senthilkumar, A. Sakira Parveen, K. Akila, B. Sabitha and P. Magudapathi8 AI-Based Neural Network Used to Enhance the Decision-Making System to Improve Operational Performance 123G. Naga Rama Devi, Manthena Swapna Kumari, Vijaykumar S. Biradar, Manish Maheshwari, Subramanian Selvakumar and Jenita Subash9 Simulation and Implementation of English Speech Recognition by NLP 139K. Kavita, K. Suresh Kumar, Sridevi Dasam and Kiran Sree Pokkuluri10 Deep Learning-Based Neuro Computing to Classify and Diagnosis of Ophthalmology by OCT 159D. Arul Pon Daniel, Santhana Sagaya Mary A. and S. Chidambaranathan11 Deep CNN-Based Multi-Image Steganography: Private Key 175S. Pavan Kumar Reddy, K. Suresh Kumar, Madhu G.C. and Pavitar Parkash Singh12 Automatic Classification of Honey Bee Subspecies by AI-Based Neural Network 191B. Sai Chandana, Ravindra Changala, R. Sivaraman and Anand Bhat B.13 Acoustic Modeling and Evaluation of Speech Recognition by Neural Networks 207Y. Ramadevi, K. Suresh Kumar, Venkata Pavankumar and G.N.R. Prasad14 Brain-Computer Interface for Humanoid Robot Control Adaptation 227B. Sai Chandana, K.S. Chakradhar, T. Rajasanthosh Kumar and Makhan Kumbhkar15 Evaluation and Validation of Type 1 Diabetes Clinical Data by GAN 243Robin Rohit Vincent, Senthilkumar Moorthy, F. Nisha and Soumya16 Exploring Neuromorphic Computing with Deep Learning: Unveiling Opportunities, Applications, and Overcoming Challenges 261Yogesh Kumar Sharma, Smitha, Shaik Saddam Hussain and Leena Arya17 Quantum Neurocomputing: Bridging the Frontiers of Quantum Computing and Neural Networks 287Smitha, Yogesh Kumar Sharma, Muniraju Naidu Vadlamudi and Leena AryaReferences 303Index 307

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. 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. 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. 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.

• Foreword xiiiPreface xv1 Integrating Fog Computing with AI Model on Decision Making for Distribution of Energy Management 1Prajwal Hegde N., Parvathi C., Ajay Malpani, D. Suganthi and Priya Batta2 Construction and Simulation of Hybrid Neural Network and LSTM to Language Process ModelKiran Sree Pokkuluri, Ramakrishna Kolikipogu, K.S. Chakradhar, Rama Devi P. and Mamta3 An Approach to Ensure the Safety of Industry 4.0 Mobile Robots 33P. Balaji Srikaanth, Rajeshwari M. Hegde, Ramachandra V. Ballary, Poornachandran R., R. Senthamil Selvan and Amandeep Kaur4 Feature Extrusion and Categorization of Disease by Hybrid Neuro-Fuzzy Computing 49Manideep Yenugula, K.S. Chakradhar, Makhan Kumbhkar, D. Victorseelan and Rupinder Karur5 AI Based Neuromorphic Vision to Control the Robotic Drilling Machine 69Venkat Namdev Ghodke, Rajeshwari M. Hegde, Ramachandra V. Ballary and R. Senthamil Selvan6 Design and Development of AI Neuromorphic to Control the Autonomous Driving System 87J. Balamurugan, Mohammed Mahaboob Basha, Mamatha Bai B. G., J. A. Jevin, Rakesh Bharti and R. Senthamil Selvan7 Design of Brain-Computer Interface System to Develop Humanoid Robot 105R. Raffik, K. Senthilkumar, A. Sakira Parveen, K. Akila, B. Sabitha and P. Magudapathi8 AI-Based Neural Network Used to Enhance the Decision-Making System to Improve Operational Performance 123G. Naga Rama Devi, Manthena Swapna Kumari, Vijaykumar S. Biradar, Manish Maheshwari, Subramanian Selvakumar and Jenita Subash9 Simulation and Implementation of English Speech Recognition by NLP 139K. Kavita, K. Suresh Kumar, Sridevi Dasam and Kiran Sree Pokkuluri10 Deep Learning-Based Neuro Computing to Classify and Diagnosis of Ophthalmology by OCT 159D. Arul Pon Daniel, Santhana Sagaya Mary A. and S. Chidambaranathan11 Deep CNN-Based Multi-Image Steganography: Private Key 175S. Pavan Kumar Reddy, K. Suresh Kumar, Madhu G.C. and Pavitar Parkash Singh12 Automatic Classification of Honey Bee Subspecies by AI-Based Neural Network 191B. Sai Chandana, Ravindra Changala, R. Sivaraman and Anand Bhat B.13 Acoustic Modeling and Evaluation of Speech Recognition by Neural Networks 207Y. Ramadevi, K. Suresh Kumar, Venkata Pavankumar and G.N.R. Prasad14 Brain-Computer Interface for Humanoid Robot Control Adaptation 227B. Sai Chandana, K.S. Chakradhar, T. Rajasanthosh Kumar and Makhan Kumbhkar15 Evaluation and Validation of Type 1 Diabetes Clinical Data by GAN 243Robin Rohit Vincent, Senthilkumar Moorthy, F. Nisha and Soumya16 Exploring Neuromorphic Computing with Deep Learning: Unveiling Opportunities, Applications, and Overcoming Challenges 261Yogesh Kumar Sharma, Smitha, Shaik Saddam Hussain and Leena Arya17 Quantum Neurocomputing: Bridging the Frontiers of Quantum Computing and Neural Networks 287Smitha, Yogesh Kumar Sharma, Muniraju Naidu Vadlamudi and Leena AryaReferences 303Index 307

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. 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. 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. 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.

• Foreword xiiiPreface xv1 Integrating Fog Computing with AI Model on Decision Making for Distribution of Energy Management 1Prajwal Hegde N., Parvathi C., Ajay Malpani, D. Suganthi and Priya Batta2 Construction and Simulation of Hybrid Neural Network and LSTM to Language Process ModelKiran Sree Pokkuluri, Ramakrishna Kolikipogu, K.S. Chakradhar, Rama Devi P. and Mamta3 An Approach to Ensure the Safety of Industry 4.0 Mobile Robots 33P. Balaji Srikaanth, Rajeshwari M. Hegde, Ramachandra V. Ballary, Poornachandran R., R. Senthamil Selvan and Amandeep Kaur4 Feature Extrusion and Categorization of Disease by Hybrid Neuro-Fuzzy Computing 49Manideep Yenugula, K.S. Chakradhar, Makhan Kumbhkar, D. Victorseelan and Rupinder Karur5 AI Based Neuromorphic Vision to Control the Robotic Drilling Machine 69Venkat Namdev Ghodke, Rajeshwari M. Hegde, Ramachandra V. Ballary and R. Senthamil Selvan6 Design and Development of AI Neuromorphic to Control the Autonomous Driving System 87J. Balamurugan, Mohammed Mahaboob Basha, Mamatha Bai B. G., J. A. Jevin, Rakesh Bharti and R. Senthamil Selvan7 Design of Brain-Computer Interface System to Develop Humanoid Robot 105R. Raffik, K. Senthilkumar, A. Sakira Parveen, K. Akila, B. Sabitha and P. Magudapathi8 AI-Based Neural Network Used to Enhance the Decision-Making System to Improve Operational Performance 123G. Naga Rama Devi, Manthena Swapna Kumari, Vijaykumar S. Biradar, Manish Maheshwari, Subramanian Selvakumar and Jenita Subash9 Simulation and Implementation of English Speech Recognition by NLP 139K. Kavita, K. Suresh Kumar, Sridevi Dasam and Kiran Sree Pokkuluri10 Deep Learning-Based Neuro Computing to Classify and Diagnosis of Ophthalmology by OCT 159D. Arul Pon Daniel, Santhana Sagaya Mary A. and S. Chidambaranathan11 Deep CNN-Based Multi-Image Steganography: Private Key 175S. Pavan Kumar Reddy, K. Suresh Kumar, Madhu G.C. and Pavitar Parkash Singh12 Automatic Classification of Honey Bee Subspecies by AI-Based Neural Network 191B. Sai Chandana, Ravindra Changala, R. Sivaraman and Anand Bhat B.13 Acoustic Modeling and Evaluation of Speech Recognition by Neural Networks 207Y. Ramadevi, K. Suresh Kumar, Venkata Pavankumar and G.N.R. Prasad14 Brain-Computer Interface for Humanoid Robot Control Adaptation 227B. Sai Chandana, K.S. Chakradhar, T. Rajasanthosh Kumar and Makhan Kumbhkar15 Evaluation and Validation of Type 1 Diabetes Clinical Data by GAN 243Robin Rohit Vincent, Senthilkumar Moorthy, F. Nisha and Soumya16 Exploring Neuromorphic Computing with Deep Learning: Unveiling Opportunities, Applications, and Overcoming Challenges 261Yogesh Kumar Sharma, Smitha, Shaik Saddam Hussain and Leena Arya17 Quantum Neurocomputing: Bridging the Frontiers of Quantum Computing and Neural Networks 287Smitha, Yogesh Kumar Sharma, Muniraju Naidu Vadlamudi and Leena AryaReferences 303Index 307