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![]() | 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. |
![]() | Brain Informatics Technology
Edited by Anamika Ahirwar, Ruby Bhatt, D. Dhanya and Roshani Choudhary Copyright: 2026 | Status: Contracted | Expected Pub Date:2025/11/30 | Hardcover |
![]() | Industry Cloud Platforms
Fundamentals, Applications, and Case Studies Edited by J. Ramkumar, S. P. Priyadharshini, M. Lingaraj and S. Balamurugan Copyright: 2026 | Status: Contracted | Expected Pub Date:2026/02/30 | Hardcover |
![]() | AI-Driven Predictive Analytics for Crop Health Management Edited by Sachi Nandan Mohanty, Prity Kumari, Sarita Mohanty, Shu Hu Copyright: 2026 | Status: Contracted | Expected Pub Date:2026/04/30 | Hardcover By bridging state-of-the-art machine learning with practical, field-proven farming applications, this comprehensive volume gives researchers, professionals, and policymakers the roadmap they need to deploy AI solutions that boost crop yields, cut waste, and secure a sustainable agricultural future. |
![]() | 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. |
![]() | Progress in Adhesion and Adhesives, Volume 10 Edited by K.L. Mittal Copyright: 2026 | Status: Contracted | Hardcover Keep up-to-date with the latest on adhesion and adhesives from an expert group worldwide authors. |
![]() | 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. |
![]() | Smart and Sustainable Manufacturing
Edited by Sandip Kunar, Gurudas Mandal, Preeti Singh Bahadur, S. Rama Sree, M. Sreenivasa Reddy Copyright: 2026 | Status: Contracted | Expected Pub Date:2026/06/30 | Hardcover |
![]() | 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. |
![]() | Theory of Computation
A Practical Approach By Pabitra Kumar Tripathy, Sachi Nandan Mohanty, Deepthi Godavarthi and N. Toyaad Kumar Reddy Copyright: 2026 | Status: Contracted | Expected Pub Date:2026/04/30 | Hardcover |
![]() | Synthetic Aperture Radar for Disaster Management
Bridging Science and Solutions Edited by Pooja Joshi, Ashutosh Bhatt, Neelam Sharma and Kapil Joshi Copyright: 2026 | Status: Contracted | Expected Pub Date:2026/05/30 | Hardcover |
![]() | Hybrid Perovskites
Synthesis, Properties, and Applications Edited by Ajay Singh Verma and Mohd Yusuf Copyright: 2026 | Status: Contracted | Expected Pub Date:2025/12/30 | Hardcover |
![]() | Telehealth and AI Workspaces
Building Sustainable Healthcare 5.0 Edited by Kamal Upreti, Shubham Mahajan and Ramesh Chandra Poonia Copyright: 2026 | Status: Contracted | Expected Pub Date:2026/03/30 | Hardcover |
![]() | 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: Contracted | Expected Pub Date:2026/03/30 | Hardcover |
![]() | Artificial Intelligence and Computational Modeling in Heat Transfer and Fluid Dynamics Edited by Mukesh Kumar Awasthi and Reshu Gupta Copyright: 2026 | Status: Published | Hardcover Drive innovation in thermal sciences with this essential book that leverages artificial intelligence and machine learning to transcend traditional computational methods and solve complex, real-time problems in heat transfer and fluid dynamics. |
![]() | 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. |
![]() | Fuzzy Logic in Computational Intelligence Applications and Case Studies Edited by Rahul Kar, Gunjan Mukherjee, Biswadip Basu Mallik and Ashok Kumar Shaw Copyright: 2026 | Status: Contracted | Expected Pub Date:2026-02-30 | Hardcover Unlock the power to navigate real-world uncertainty with this comprehensive guide, blending foundational theory with practical case studies to show you exactly how to integrate fuzzy logic and machine learning for unmatched predictive accuracy. |
![]() | 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. |
![]() | Enhancing Hybrid Nanodevice Fabrication Efficiency using Machine Learning Edited by Udit Mamodiya, Suman Lata Tripathi, Deepika Ghai, and Deepak Kumar Jain Copyright: 2026 | Status: Published | Hardcover Gain a competitive edge in the semiconductor industry with this essential guide, which provides the practical insights and machine learning techniques needed to optimize the fabrication of hybrid nanodevices for integrated circuits. |