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![]() | Heavy Metal Remediation Edited by Prangya Rath, Laxmi Kant Bhardwaj, and Amit Kumar Copyright: 2026 | Status: In Production | Expected Pub Date:2026 | Hardcover Seamlessly bridging fundamental science, engineering, and policy, this essential guide equips researchers, engineers, and policymakers with the cutting-edge, sustainable remediation strategies needed to combat critical heavy metal contamination in our air, water, and soil. |
![]() | Eco-Acoustic Intelligence![]() Innovations, Trends and Applications Edited by Chandra Singh, Navaneeth Bhaskar, Shwetha N., and Canute Sherwin Copyright: 2026 | Status: In Production | Expected Pub Date:2026 | Hardcover Discover how listening to the planets hidden soundscapes can revolutionize conservation with this groundbreaking guide showing how acoustic data is driving the next wave of environmental technology and sustainability. |
![]() | VLSI for Artificial Intelligence and Machine Learning Applications Edited by Balwinder Raj, Koushik Guha, Shiromani Balmukund Rahi, and Nehru Kandasamy Copyright: 2026 | Status: In Production | Expected Pub Date:2026 | Hardcover Unlock the next generation of AI chip design with this comprehensive guide to overcoming VLSI challenges, combining state-of-the-art nanomaterials, semiconductor modeling, and low-power circuit design into an essential roadmap for researchers and engineers. |
![]() | Herbal Medicines in the Management of Lifestyle Diseases Edited by S. Mohana Lakshmi, Rajeev Sharma, Vikas Pandey, Neeraj Mishra, and C. K. Ashok Kumar Copyright: 2026 | Status: Contracted | Expected Pub Date:2026/10/30 | Hardcover Discover how cutting-edge herbal bioactives are transforming the treatment of lifestyle diseases in this definitive, research-driven guide aiming to pioneer the next generation of safe, high-impact therapeutics. |
![]() | Manufacturing and the Circular Economy Edited by Jeyaprakash Natarajan, Milon Selvam Dennison, M. Bhuvanesh Kumar, and Ganapathy Thirukkoti Copyright: 2026 | Status: Published | Hardcover By bridging cutting-edge academic research with real-world industry applications, this essential guide gives manufacturers, policymakers, and sustainability leaders the ultimate blueprint to shift from outdated models into profitable, future-proof circular manufacturing. |
![]() | Pathogenic Biofilm Eradication by Nanomaterials Edited by Ayush Madan, Sumel Ashique, and Mohammad Ramzan Copyright: 2026 | Status: In Production | Expected Pub Date:2026 | Hardcover Discover how cutting-edge nanotechnology is revolutionizing the fight against drug-resistant biofilms with this essential, interdisciplinary roadmap that bridges fundamental science and real-world solutions for healthcare and industry. |
![]() | Regenerated Cellulose A Renewable Alternative to Petroleum-Based Plastics Edited by Mohd Shabbir Copyright: 2026 | Status: Published | Hardcover |
![]() | Modeling of 6G-Based WSN-IoT Scenarios Using Machine Learning
Edited by Sandeep Kumar, Meet Kumari, Rohit Bajaj, Ruchika Gupta and Gaurav Bathla Copyright: 2026 | Status: Contracted | Expected Pub Date:2026/10/30 | Hardcover |
![]() | Energy Efficient Computing Design and Applications Edited by Himanshu Sharma, Krishan Arora, Suman Lata Tripathi, and Gyanendra Prasad Joshi Copyright: 2026 | Status: In Production | Expected Pub Date:2026 | Hardcover Transform your data infrastructure into a lean, eco-friendly powerhouse with cutting-edge strategies designed to drastically cut carbon emissions without compromising performance. |
![]() | Mathematical Techniques in Disease and Fluid Dynamics Modeling Edited by Reshu Gupta and Biplab Dhar Copyright: 2026 | Status: In Production | Expected Pub Date:2026 | Hardcover By integrating classical mathematical foundations with cutting-edge machine learning and high-performance computing, this definitive guide provides the complete toolkit needed to translate complex fluid mechanics and epidemiological theory into actionable, real-world solutions. |
![]() | Differential Equations in the Era of Computational Techniques Edited by Mamta Kapoor and Geeta Arora Copyright: 2026 | Status: In Production | Expected Pub Date:2026 | Hardcover This definitive guide bridges traditional analytical theory with cutting-edge machine learning and quantum computing techniques to master differential equations across modern science, engineering, and finance. |
![]() | Electrifying Mobility Edited by S. Neelakrishnan, Niresh Jayarajan, and Archana Naganathan Copyright: 2026 | Status: In Production | Expected Pub Date:2026 | Hardcover Authored by industry leaders, this essential volume combines expert commentary, real-world case studies, and forward-looking analysis to provide the definitive roadmap through the technological innovations, market trends, and regulatory shifts shaping the future of electric mobility. |
![]() | Tiny Machine Learning Next-Generation Artificial Intelligence Edited by Someet Singh, Deepika Ghai, Suman Lata Tripathi, and Navjot Kaur Copyright: 2026 | Status: In Production | Expected Pub Date:2026 | Hardcover This comprehensive guide provides the foundational tools, optimization techniques, and practical case studies you need to engineer autonomous edge systems across healthcare, industrial automation, and IoT. |
![]() | Analytics for Sustainable Refrigeration and Cold Supply Chains![]() Edited by Ramesh Babu Damarla, Usha Desai, and Chandra Singh Copyright: 2026 | Status: In Production | Expected Pub Date:2026 | Hardcover Discover how integrating AI, real-time IoT sensors, and predictive analytics transforms cold chain operations to safeguard your temperature-sensitive cargo, minimize costly spoilage, and achieve seamless regulatory compliance across your entire supply chain. |
![]() | Soft Robotics
Architectures, Control, and Applications Edited by Suresh Kumar Grandhi, Ajay Kumar Jena, Sandeep Kumar Panda, and S. Balamurugan Copyright: 2026 | Status: Contracted | Expected Pub Date:2026/12/30 | Hardcover |
![]() | Waste Biomass Utilization Carbon Neutrality and Zero Waste Attainment Edited by Prakash Kumar Sarangi, Uttam Kumar Sahoo, and Tarun Kumar Thakur Copyright: 2026 | Status: In Production | Expected Pub Date:2026 | Hardcover Bridging cutting-edge biochemical advances with practical application, this essential reference empowers researchers and engineers to transform low-cost waste biomass into the clean energy and sustainable biomaterials of tomorrow. |
![]() | Metal-Organic Frameworks Synthesis, Characterization, and Biomedical Applications Edited by Sumel Ashique, Biplab Debnath, and Mohammad Yousuf Ansari Copyright: 2026 | Status: In Production | Expected Pub Date:2026 | Hardcover Unlock the future of nanomedicine with this definitive guide to metal-organic frameworks, offering researchers the essential synthetic techniques, cutting-edge biomedical applications, and crucial safety insights needed to develop next-generation targeted therapies and diagnostic tools. |
![]() | Data-Driven Sports Medicine Deep Learning Insights with Blockchain Trust Edited by Abhishek Kumar, Pramod Singh Rathore, Inam Ul Haq, Pooja Dixit, and Sachin Ahuja Copyright: 2026 | Status: In Production | Expected Pub Date:2026 | Hardcover This essential guide bridges cutting-edge AI and blockchain with real-world sports medicine, equipping you with actionable techniques to pioneer the future of athletic performance and modern care ecosystems. |
![]() | Aerodynamics for Sixth Generation Aircraft Design Forward and Inverse Transonic and Shear Flow Models for Close Ground Effect By Wilson C. Chin Copyright: 2026 | Status: In Production | Expected Pub Date:2026 | Hardcover Uniting classical fluid dynamics with cutting-edge AI, this definitive guide empowers aerospace engineers and defense strategists to master the transition from traditional airframe aerodynamics to stealth-driven, sixth-generation aircraft design. |
![]() | Neural Grids Artificial Intelligence in Power and Energy Systems Edited by Himanshu Sharma and Krishnan Arora Copyright: 2026 | Status: In Production | Expected Pub Date:2026 | Hardcover Master the future of energy by learning how to apply cutting-edge AI to solve the real-world complexity, intermittency, and security challenges of modern power grids and renewable systems. |