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Subject Area: Computer Science

	Adaptive Artificial Intelligence Fundamentals, Challenges, and Applications Edited by P. Pavan Kumar, G. Suresh Kumar, Ajay Kumar Jena, Sandeep Kumar Panda and S. Balamurugan Copyright: 2026 \| Status: Published \| Hardcover Master the next frontier of technology with this book, which provides an in-depth guide to adaptive artificial intelligence and its ability to create flexible, self-governed systems in dynamic industries.
	Hyper-Intelligent Networks Exploring the Future of Connectivity for Society 5.0 Edited by Pradosh Kumar Gantayat, Sandeep Kumar Panda, S. Balamurugan and Sheng-Lung Peng Copyright: 2026 \| Status: Published \| Expected Pub Date:2025/10/30 \| Hardcover Prepare for the next technological frontier with this essential, multidisciplinary guide that delves into hyper-intelligent networks, providing a comprehensive overview of how AI and machine learning are revolutionizing telecommunications, healthcare, and other vital sectors with cognitive, autonomous connectivity.
	Responsible AI Principles and Practices Edited by Manish Kumar, Nitigya Sambyal, Leena Priyadarshini Singh, Ramasamy V and S. Balamurugan Copyright: 2026 \| Status: Published \| Hardcover Bridge the gap between groundbreaking AI innovation and ethical responsibility with this comprehensive guide to the expert-led frameworks needed to navigate the complex legal, social, and moral landscapes of our digital future.
	Federated Learning for Smart Agriculture and Food Quality Enhancement Edited by Padmesh Tripathi, Bhanumati Panda, Shanthi Makka, Reeta Mishra, S. Balamurugan and Sheng-Lung Peng Copyright: 2026 \| Status: Manuscript \| Hardcover This essential book provides a comprehensive, expert-led guide on how federated learning can revolutionize crop yield, enhance resource management, and ensure a pathway to sustainable food quality and safety.
	Quantum Machine Learning Artificial Intelligence for Smart Internet of Things Applications Edited by R. Bala Krishnan, N. Rajesh Kumar, Subramaniyaswamy V. Copyright: 2026 \| Status: Contracted \| Expected Pub Date:12/30/2025 \| Hardcover Revolutionize your IoT infrastructure with this guide to mastering quantum-enhanced machine learning algorithms and theoretical frameworks that are shattering the boundaries of classical computing to deliver unprecedented network performance and security.
	Virtual Reality and Augmented Reality with 6G Communication Edited by B. Sundaravadivazhagan, N. Gnanasankaran, C. Pethuru Raj, and A. Saleem Raja Copyright: 2026 \| Status: Published \| Hardcover Stay ahead of the technological curve with this essential book, which provides a comprehensive guide to the transformative convergence of Virtual Reality (VR), Augmented Reality (AR), and 6G communication.
	Composite Artificial Intelligence Fundamentals, Challenges, and Applications Edited by T. S. Arun Samuel, L. Jerart Julus, P. Kanimozhi, T. Ananth Kumar, and S. Balamurugan Copyright: 2026 \| Status: Contracted \| Expected Pub Date:2025/12/30 \| Hardcover Unlock the full potential of context-aware AI while navigating critical hurdles like bias mitigation and ethical governance with this definitive resource on the future of composite artificial intelligence.
	Artificial Intelligence and Machine Learning in Neurology Edited by Abhishek Kumar, Pramod Singh Rathore, Sachin Ahuja, and Manoj Manuja Copyright: 2026 \| Status: Published \| Hardcover Unlock the future of brain health with this indispensable guide, which offers a comprehensive exploration of how artificial intelligence and machine learning are revolutionizing the diagnosis, treatment, and management of complex neurological disorders.
	Computational Intelligence in Biomedical Internet of Medical Things Edited by Satya Prakash Yadav, Abhay Bansal and Victor Hugo C. de Albuquerque Copyright: 2026 \| Status: Published \| Hardcover Through comprehensive insights and real-world case studies, this book features in-depth knowledge of key concepts relating to optimizing biomedical IoMT systems.
	Integrating AI for Sustainable Disaster Management Building Resilience and Preventing Catastrophes Edited by Palanichamy Naveen, R. Maheswar, K. Mohanasundaram, T. Rajasekaran and S. Arivazhagan Copyright: 2026 \| Status: Contracted \| Expected Pub Date:2026/01/30 \| Hardcover Future-proof your disaster management strategy with this essential, multidisciplinary guide that shows how cutting-edge AI technologies can be practically integrated to enhance early warning systems, save lives, and build long-term community resilience.
	Blockchain Success Stories Real-World Case Studies in Digital Finance Edited by Jyoti Verma, Reena Malik, Sarvjeet Kaur Chatrath, Gagandeep Copyright: 2026 \| Status: Contracted \| Expected Pub Date:2026/4/30 \| Hardcover Bridge the gap between academic theory and industrial reality with this case-driven guide, featuring real-world applications to help master the future of finance and insurance.
	AI Trust, Risk, and Security Management Framework, Principles, and Practices Edited by R. Karthick Manoj, S. Senthilnathan, S. Arunmozhi Selvi, T. Ananth Kumar, S. Balamurugan Copyright: 2026 \| Status: Published \| Expected Pub Date:1/30/2026 \| Hardcover For industry practitioners, academic researchers, and governance professionals alike, this book offers both clarity and depth in one of the most important domains of modern technology. As AI matures, trust and risk management will define its success—and this book lays the groundwork for achieving that vision.
	Data Driven Modeling Edited by Arindam Mondal and Souvik Ganguli Copyright: 2026 \| Status: Published \| Hardcover Equip yourself with the essentials of informed decision-making with this practical guide to mastering data-driven modeling and extracting actionable, meaningful patterns from the vast sea of modern data.
	Generative Artificial Intelligence for Next-Generation Security Paradigms Edited by Santosh Kumar Srivastava, Durgesh Srivastava, Manoj Kumar Mahto, Ben Othman Soufiane, and Praveen Kantha Copyright: 2026 \| Status: Published \| Hardcover Fortify your digital defenses with this essential book, which provides a roadmap for moving beyond the limitations of traditional encryption by leveraging generative AI algorithms to proactively anticipate, detect, and mitigate the next generation of cyber threats in real-time.
	Artificial Intelligence in Instrumentation, Control and Automation Edited by B. Jaganatha Pandian, N. Amutha Prabha, Abhishek Gudipalli, and V. Indragandhi Copyright: 2026 \| Status: Published \| Hardcover Revolutionize your industrial practice with this essential book, which provides a comprehensive overview of how artificial intelligence can be integrated into instrumentation and control systems to achieve unprecedented precision, efficiency, and autonomous optimization.
	Smart Chips for Smart Devices VLSI Design for Next-Generation IoT Solutions Edited by Abhishek Kumar and Suman Lata Tripathi Copyright: 2026 \| Status: Published \| Hardcover Master the future of semiconductor technology with this essential guide, which provides the advanced circuit design strategies necessary to develop the high-performance, low-power VLSI chips that drive the modern IoT revolution.
	Edge Intelligence for 6G-Enabled Industrial Internet of Things Edited by Sita Rani, Pankaj Bhambri, Balamurugan Balusamy, Rishabha Malviya and Seifedine Kadry Copyright: 2026 \| Status: Contracted \| Expected Pub Date:2026/3/30 \| Hardcover Master the shift from centralized clouds to the network’s edge with this essential guide, providing real-world case studies and 6G strategies to build faster, more reliable industrial systems.
	Machine Learning in Nanoelectronics Devices, Circuits and Systems Edited by Ashish Maurya, Mandeep Singh, and Balwinder Raj Copyright: 2026 \| Status: Published \| Hardcover Bridge the gap between advanced algorithms and hardware innovation with this essential book, which details how machine learning is being used to overcome challenges in nanoelectronics while laying the critical groundwork for the future of neuromorphic computing hardware.
	Artificial Intelligence and Biodiversity Edited by Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, and Martin Margala Copyright: 2026 \| Status: Published \| Hardcover Harness the power of the digital frontier to save our planet with this essential guide, which demonstrates how deep learning, genetic engineering, and AI-based robotics can be integrated to track biodiversity, restore genetic diversity, and rebuild fragile ecosystems with unprecedented precision.
	Edge Computing and Aerial Platforms Edited by Sapna Juneja, Rajesh Kumar Dhanaraj, and Abhinav Juneja Copyright: 2026 \| Status: Published \| Hardcover Unlock the groundbreaking potential of aerial-aided edge computing with this comprehensive guide, which provides the expert insights and architectural frameworks needed to revolutionize disaster management, precision agriculture, and smart city initiatives through real-time, data-driven innovation.

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	Adaptive Artificial Intelligence Fundamentals, Challenges, and Applications Edited by P. Pavan Kumar, G. Suresh Kumar, Ajay Kumar Jena, Sandeep Kumar Panda and S. Balamurugan Copyright: 2026 \| Status: Published \| Hardcover Master the next frontier of technology with this book, which provides an in-depth guide to adaptive artificial intelligence and its ability to create flexible, self-governed systems in dynamic industries.
	Hyper-Intelligent Networks Exploring the Future of Connectivity for Society 5.0 Edited by Pradosh Kumar Gantayat, Sandeep Kumar Panda, S. Balamurugan and Sheng-Lung Peng Copyright: 2026 \| Status: Published \| Expected Pub Date:2025/10/30 \| Hardcover Prepare for the next technological frontier with this essential, multidisciplinary guide that delves into hyper-intelligent networks, providing a comprehensive overview of how AI and machine learning are revolutionizing telecommunications, healthcare, and other vital sectors with cognitive, autonomous connectivity.
	Responsible AI Principles and Practices Edited by Manish Kumar, Nitigya Sambyal, Leena Priyadarshini Singh, Ramasamy V and S. Balamurugan Copyright: 2026 \| Status: Published \| Hardcover Bridge the gap between groundbreaking AI innovation and ethical responsibility with this comprehensive guide to the expert-led frameworks needed to navigate the complex legal, social, and moral landscapes of our digital future.
	Federated Learning for Smart Agriculture and Food Quality Enhancement Edited by Padmesh Tripathi, Bhanumati Panda, Shanthi Makka, Reeta Mishra, S. Balamurugan and Sheng-Lung Peng Copyright: 2026 \| Status: Manuscript \| Hardcover This essential book provides a comprehensive, expert-led guide on how federated learning can revolutionize crop yield, enhance resource management, and ensure a pathway to sustainable food quality and safety.
	Quantum Machine Learning Artificial Intelligence for Smart Internet of Things Applications Edited by R. Bala Krishnan, N. Rajesh Kumar, Subramaniyaswamy V. Copyright: 2026 \| Status: Contracted \| Expected Pub Date:12/30/2025 \| Hardcover Revolutionize your IoT infrastructure with this guide to mastering quantum-enhanced machine learning algorithms and theoretical frameworks that are shattering the boundaries of classical computing to deliver unprecedented network performance and security.
	Virtual Reality and Augmented Reality with 6G Communication Edited by B. Sundaravadivazhagan, N. Gnanasankaran, C. Pethuru Raj, and A. Saleem Raja Copyright: 2026 \| Status: Published \| Hardcover Stay ahead of the technological curve with this essential book, which provides a comprehensive guide to the transformative convergence of Virtual Reality (VR), Augmented Reality (AR), and 6G communication.
	Composite Artificial Intelligence Fundamentals, Challenges, and Applications Edited by T. S. Arun Samuel, L. Jerart Julus, P. Kanimozhi, T. Ananth Kumar, and S. Balamurugan Copyright: 2026 \| Status: Contracted \| Expected Pub Date:2025/12/30 \| Hardcover Unlock the full potential of context-aware AI while navigating critical hurdles like bias mitigation and ethical governance with this definitive resource on the future of composite artificial intelligence.
	Artificial Intelligence and Machine Learning in Neurology Edited by Abhishek Kumar, Pramod Singh Rathore, Sachin Ahuja, and Manoj Manuja Copyright: 2026 \| Status: Published \| Hardcover Unlock the future of brain health with this indispensable guide, which offers a comprehensive exploration of how artificial intelligence and machine learning are revolutionizing the diagnosis, treatment, and management of complex neurological disorders.
	Computational Intelligence in Biomedical Internet of Medical Things Edited by Satya Prakash Yadav, Abhay Bansal and Victor Hugo C. de Albuquerque Copyright: 2026 \| Status: Published \| Hardcover Through comprehensive insights and real-world case studies, this book features in-depth knowledge of key concepts relating to optimizing biomedical IoMT systems.
	Integrating AI for Sustainable Disaster Management Building Resilience and Preventing Catastrophes Edited by Palanichamy Naveen, R. Maheswar, K. Mohanasundaram, T. Rajasekaran and S. Arivazhagan Copyright: 2026 \| Status: Contracted \| Expected Pub Date:2026/01/30 \| Hardcover Future-proof your disaster management strategy with this essential, multidisciplinary guide that shows how cutting-edge AI technologies can be practically integrated to enhance early warning systems, save lives, and build long-term community resilience.
	Blockchain Success Stories Real-World Case Studies in Digital Finance Edited by Jyoti Verma, Reena Malik, Sarvjeet Kaur Chatrath, Gagandeep Copyright: 2026 \| Status: Contracted \| Expected Pub Date:2026/4/30 \| Hardcover Bridge the gap between academic theory and industrial reality with this case-driven guide, featuring real-world applications to help master the future of finance and insurance.
	AI Trust, Risk, and Security Management Framework, Principles, and Practices Edited by R. Karthick Manoj, S. Senthilnathan, S. Arunmozhi Selvi, T. Ananth Kumar, S. Balamurugan Copyright: 2026 \| Status: Published \| Expected Pub Date:1/30/2026 \| Hardcover For industry practitioners, academic researchers, and governance professionals alike, this book offers both clarity and depth in one of the most important domains of modern technology. As AI matures, trust and risk management will define its success—and this book lays the groundwork for achieving that vision.
	Data Driven Modeling Edited by Arindam Mondal and Souvik Ganguli Copyright: 2026 \| Status: Published \| Hardcover Equip yourself with the essentials of informed decision-making with this practical guide to mastering data-driven modeling and extracting actionable, meaningful patterns from the vast sea of modern data.
	Generative Artificial Intelligence for Next-Generation Security Paradigms Edited by Santosh Kumar Srivastava, Durgesh Srivastava, Manoj Kumar Mahto, Ben Othman Soufiane, and Praveen Kantha Copyright: 2026 \| Status: Published \| Hardcover Fortify your digital defenses with this essential book, which provides a roadmap for moving beyond the limitations of traditional encryption by leveraging generative AI algorithms to proactively anticipate, detect, and mitigate the next generation of cyber threats in real-time.
	Artificial Intelligence in Instrumentation, Control and Automation Edited by B. Jaganatha Pandian, N. Amutha Prabha, Abhishek Gudipalli, and V. Indragandhi Copyright: 2026 \| Status: Published \| Hardcover Revolutionize your industrial practice with this essential book, which provides a comprehensive overview of how artificial intelligence can be integrated into instrumentation and control systems to achieve unprecedented precision, efficiency, and autonomous optimization.
	Smart Chips for Smart Devices VLSI Design for Next-Generation IoT Solutions Edited by Abhishek Kumar and Suman Lata Tripathi Copyright: 2026 \| Status: Published \| Hardcover Master the future of semiconductor technology with this essential guide, which provides the advanced circuit design strategies necessary to develop the high-performance, low-power VLSI chips that drive the modern IoT revolution.
	Edge Intelligence for 6G-Enabled Industrial Internet of Things Edited by Sita Rani, Pankaj Bhambri, Balamurugan Balusamy, Rishabha Malviya and Seifedine Kadry Copyright: 2026 \| Status: Contracted \| Expected Pub Date:2026/3/30 \| Hardcover Master the shift from centralized clouds to the network’s edge with this essential guide, providing real-world case studies and 6G strategies to build faster, more reliable industrial systems.
	Machine Learning in Nanoelectronics Devices, Circuits and Systems Edited by Ashish Maurya, Mandeep Singh, and Balwinder Raj Copyright: 2026 \| Status: Published \| Hardcover Bridge the gap between advanced algorithms and hardware innovation with this essential book, which details how machine learning is being used to overcome challenges in nanoelectronics while laying the critical groundwork for the future of neuromorphic computing hardware.
	Artificial Intelligence and Biodiversity Edited by Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, and Martin Margala Copyright: 2026 \| Status: Published \| Hardcover Harness the power of the digital frontier to save our planet with this essential guide, which demonstrates how deep learning, genetic engineering, and AI-based robotics can be integrated to track biodiversity, restore genetic diversity, and rebuild fragile ecosystems with unprecedented precision.
	Edge Computing and Aerial Platforms Edited by Sapna Juneja, Rajesh Kumar Dhanaraj, and Abhinav Juneja Copyright: 2026 \| Status: Published \| Hardcover Unlock the groundbreaking potential of aerial-aided edge computing with this comprehensive guide, which provides the expert insights and architectural frameworks needed to revolutionize disaster management, precision agriculture, and smart city initiatives through real-time, data-driven innovation.

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Subject Area: Computer Science