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	Probabilistic Machine Learning in Sustainable Artificial Intelligence A Practical Approach Edited by Richa Singh, Sayani Ghosal and Durgesh Srivastava Copyright: 2027 \| Status: Contracted \| Expected Pub Date:11/30/2026 \| Hardcover Discover how probabilistic machine learning bridges the gap between cutting-edge AI and environmental stewardship, equipping you with the essential tools to build responsible, uncertainty-aware systems that drive sustainable development and a more resilient future.
	Generative Artificial Intelligence in Healthcare Edited by M. Manikandan, Malathy Sathyamoorthy, Rajesh Kumar Dhanaraj, Sumithra M. G., and Rutvij H. Jhaveri Copyright: 2027 \| Status: Contracted \| Expected Pub Date:2026/11/30 \| Hardcover Unlock the future of modern medicine with this essential, end-to-end guide on leveraging generative AI, deep learning, and predictive modeling to streamline clinical workflows, accelerate drug discovery, and dramatically improve patient outcomes.
	Prompt Engineering and Generative Artificial Intelligence Edited by Malathy Sathyamoorthy, Rajesh Kumar Dhanaraj and Aparna Vaidyanathan Copyright: 2027 \| Status: Contracted \| Expected Pub Date:2026/11/30 \| Hardcover Master the art of human-AI collaboration with this authoritative guide, designed to give researchers, developers, and practitioners the theoretical insights and practical methodologies needed to engineer high-precision prompts for cutting-edge LLM applications.
	Shadow Artificial Intelligence Concepts, Applications, and Security Edited by T. Ananth Kumar, R. Karthick Manoj, Abhishek Kumar, N. Suresh Kumar and S. Balamurugan Copyright: 2027 \| Status: Contracted \| Expected Pub Date:2026/12/25 \| Hardcover Bridging the critical gap between rapid AI innovation and organizational security, this essential resource arms industry leaders and researchers with actionable, real-world strategies to mitigate compliance risks and harness the power of unauthorized AI responsibly.
	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.
	Driving Innovation by Dynamic Optimization The Challenges of Reshaping Industry Edited by Ranjan Kumar, Sachi Nandan Mohanty, Arindam Dey, T. Rajasanthosh Kumar Copyright: 2026 \| Status: Published \| Hardcover Future-proof your technical expertise by mastering the multidisciplinary synergy of AI-driven optimization and intelligent algorithms with this essential resource to optimization for the modern world.
	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: Published \| 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.
	Medical Metaverse for Digital Healthcare Technologies, Applications, and Challenges Edited by R. Nidhya, D. Pavithra, S. Balamurugan, A. Dinesh Kumar and Sheng-Lung Peng Copyright: 2026 \| Status: Contracted \| Expected Pub Date:2025/12/30 \| Hardcover Researchers, academics, industry professionals, research and development organizations, and healthcare professionals working in the fields of medical imaging, telemedicine, cybersecurity, data science, artificial intelligence, and image processing.
	Wearable Technologies for Digital Medicine Advancement, Models, and Applications Edited by Sushruta Mishra, Subhashish Das and S. Balamurugan Copyright: 2026 \| Status: Published \| Hardcover Equip yourself with the multidisciplinary expertise to lead the digital medicine revolution with this comprehensive guide to the cutting-edge intersection of wearable technology, data science, and clinical care.
	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: Published \| 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.
	Explainable Artificial Intelligence Bridging Concepts, Applications, and Future Challenges Edited by Preethi Nanjundan, Sachi Nandan Mohanty, Shu Hu and Harish Garg Copyright: 2026 \| Status: Contracted \| Expected Pub Date:2026/04/30 \| Hardcover Unlock the power of transparent, trustworthy AI with this essential two-volume reference, where leading global experts deliver actionable frameworks and real-world strategies to make high-stakes artificial intelligence explainable, compliant, and reliable.
	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.
	Embodied Artificial Intelligence Concepts, Challenges, and Applications Edited by R. Rajmohan, Subrata Chowdhury, G. Glorindal Selvam, T. Ananth Kumar, and S. Balamurugan Copyright: 2026 \| Status: Published \| Hardcover Bridging the gap between abstract algorithms and physical reality, this essential volume equips researchers and professionals with the technical depth and forward-looking insights needed to pioneer the next generation of robotics, smart environments, and seamless human-machine collaboration.
	Blockchain Success Stories Real-World Case Studies in Digital Finance Edited by Jyoti Verma, Reena Malik, Sarvjeet Kaur Chatrath, Gagandeep Copyright: 2026 \| Status: Published \| 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.

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	Probabilistic Machine Learning in Sustainable Artificial Intelligence A Practical Approach Edited by Richa Singh, Sayani Ghosal and Durgesh Srivastava Copyright: 2027 \| Status: Contracted \| Expected Pub Date:11/30/2026 \| Hardcover Discover how probabilistic machine learning bridges the gap between cutting-edge AI and environmental stewardship, equipping you with the essential tools to build responsible, uncertainty-aware systems that drive sustainable development and a more resilient future.
	Generative Artificial Intelligence in Healthcare Edited by M. Manikandan, Malathy Sathyamoorthy, Rajesh Kumar Dhanaraj, Sumithra M. G., and Rutvij H. Jhaveri Copyright: 2027 \| Status: Contracted \| Expected Pub Date:2026/11/30 \| Hardcover Unlock the future of modern medicine with this essential, end-to-end guide on leveraging generative AI, deep learning, and predictive modeling to streamline clinical workflows, accelerate drug discovery, and dramatically improve patient outcomes.
	Prompt Engineering and Generative Artificial Intelligence Edited by Malathy Sathyamoorthy, Rajesh Kumar Dhanaraj and Aparna Vaidyanathan Copyright: 2027 \| Status: Contracted \| Expected Pub Date:2026/11/30 \| Hardcover Master the art of human-AI collaboration with this authoritative guide, designed to give researchers, developers, and practitioners the theoretical insights and practical methodologies needed to engineer high-precision prompts for cutting-edge LLM applications.
	Shadow Artificial Intelligence Concepts, Applications, and Security Edited by T. Ananth Kumar, R. Karthick Manoj, Abhishek Kumar, N. Suresh Kumar and S. Balamurugan Copyright: 2027 \| Status: Contracted \| Expected Pub Date:2026/12/25 \| Hardcover Bridging the critical gap between rapid AI innovation and organizational security, this essential resource arms industry leaders and researchers with actionable, real-world strategies to mitigate compliance risks and harness the power of unauthorized AI responsibly.
	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.
	Driving Innovation by Dynamic Optimization The Challenges of Reshaping Industry Edited by Ranjan Kumar, Sachi Nandan Mohanty, Arindam Dey, T. Rajasanthosh Kumar Copyright: 2026 \| Status: Published \| Hardcover Future-proof your technical expertise by mastering the multidisciplinary synergy of AI-driven optimization and intelligent algorithms with this essential resource to optimization for the modern world.
	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: Published \| 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.
	Medical Metaverse for Digital Healthcare Technologies, Applications, and Challenges Edited by R. Nidhya, D. Pavithra, S. Balamurugan, A. Dinesh Kumar and Sheng-Lung Peng Copyright: 2026 \| Status: Contracted \| Expected Pub Date:2025/12/30 \| Hardcover Researchers, academics, industry professionals, research and development organizations, and healthcare professionals working in the fields of medical imaging, telemedicine, cybersecurity, data science, artificial intelligence, and image processing.
	Wearable Technologies for Digital Medicine Advancement, Models, and Applications Edited by Sushruta Mishra, Subhashish Das and S. Balamurugan Copyright: 2026 \| Status: Published \| Hardcover Equip yourself with the multidisciplinary expertise to lead the digital medicine revolution with this comprehensive guide to the cutting-edge intersection of wearable technology, data science, and clinical care.
	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: Published \| 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.
	Explainable Artificial Intelligence Bridging Concepts, Applications, and Future Challenges Edited by Preethi Nanjundan, Sachi Nandan Mohanty, Shu Hu and Harish Garg Copyright: 2026 \| Status: Contracted \| Expected Pub Date:2026/04/30 \| Hardcover Unlock the power of transparent, trustworthy AI with this essential two-volume reference, where leading global experts deliver actionable frameworks and real-world strategies to make high-stakes artificial intelligence explainable, compliant, and reliable.
	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.
	Embodied Artificial Intelligence Concepts, Challenges, and Applications Edited by R. Rajmohan, Subrata Chowdhury, G. Glorindal Selvam, T. Ananth Kumar, and S. Balamurugan Copyright: 2026 \| Status: Published \| Hardcover Bridging the gap between abstract algorithms and physical reality, this essential volume equips researchers and professionals with the technical depth and forward-looking insights needed to pioneer the next generation of robotics, smart environments, and seamless human-machine collaboration.
	Blockchain Success Stories Real-World Case Studies in Digital Finance Edited by Jyoti Verma, Reena Malik, Sarvjeet Kaur Chatrath, Gagandeep Copyright: 2026 \| Status: Published \| 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.

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Subject Area: Computer Science