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Subject Area: Computer Science



 
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: Published   |   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.


 
Brain-Inspired Artificial Intelligence and Neuromorphic Computing in Healthcare
Edited by Jyotir Moy Chatterjee
Copyright: 2026   |   Status: Published   |   Hardcover
 
Discover how brain-inspired, neuromorphic AI is shattering the limits of classical computing to revolutionize medicine by delivering the real-time, adaptive intelligence needed to transform everything from robotic surgeries and precision diagnostics to the future of patient care.


 
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.


 
Artificial General Intelligence
Principles and Practices
Edited by T. Saravanan, P. Preethi, Sumaya Sanober, N. Thillaiarasu and S. Balamurugan
Copyright: 2026   |   Status: Published   |   Hardcover
 
This comprehensive guide provides an extensive overview of the key theories, methodologies, and applied frameworks that enable AGI systems to exhibit aspects of human intelligence.


 
Neuro-Symbolic Artificial Intelligence
Edited by R. Nidhya, A. Dineshkumar, Sheng-Lung Peng, S Karthik and S. Balamurugan
Copyright: 2026   |   Status: Contracted   |   Expected Pub Date:2026/04/30   |   Hardcover
 
Master the next frontier of artificial intelligence with this essential guide to uniting the pattern recognition of deep learning with the transparent, logical reasoning of symbolic AI.


 
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.


 
Industrial Internet of Things and Sensor Data Aggregation and Fusion
Edited by Kanak Kalita, S. Vishnu Kumar, and M. Niranjanamurthhy
Copyright: 2026   |   Status: Published   |   Hardcover
 
Master the complexity of modern networks with this essential guide, which provides the state-of-the-art AI and machine learning techniques needed to execute seamless sensor data fusion and energy-efficient aggregation across Industrial IoT and smart city environments.


 
Tiny Machine Learning
Fundamentals, Applications and Security

Edited by Rajdeep Chakraborty, Rana Majumdar, S. Balamurugan and Sheng-Lung Peng
Copyright: 2026   |   Status: Published   |   Hardcover
 
Stay at the forefront of the embedded AI revolution by mastering the specialized hardware and software strategies needed to bring high-performance machine learning to the world’s most resource-constrained devices.


 
Strategic Approaches to Intrusion Detection in Cloud-IoT Ecosystem
Edited by Partha Ghosh, Rajdeep Chakraborty, Anupam Ghosh and Ahmed A. Elngar
Copyright: 2026   |   Status: Published   |   Hardcover
 
Future-proof your digital infrastructure with this essential book, which provides a comprehensive exploration of both traditional and advanced machine and deep learning models to implement resilient and intelligent intrusion detection systems for securing complex cloud-IoT environments.


 
Autonomous Systems in the Internet of Vehicles
Edited by Balamurugan Balusamy, Sandeep Kumar Mathivanan, Prabhu Jayagopal, S.K.B. Sangeetha, and Ali Kashif Bashir
Copyright: 2026   |   Status: Published   |   Hardcover
 
Accelerate your expertise in the future of autonomous navigation by mastering essential fusion algorithms that enable vehicles to operate safely and reliably in complex, dynamic environments.


 
Internet of Vehicles
Edited by S. Neelakrishnan, Niresh Jayarajan, Malathy Sathyamoorthy, Rajesh Kumar Dhanaraj, and Archana Naganathan
Copyright: 2026   |   Status: Published   |   Hardcover
 
Position yourself at the forefront of the transportation revolution with this guide to mastering computational intelligence that serves as the essential linchpin for the safe, sustainable, and hyper-connected Internet of Vehicular Things.


 
Attacks and Defenses in Explainable Artificial Intelligence
Edited by Aml Dattatraya Vibhute, Rajesh Kumar Dhanaraj, Malathy Sathyamoorthy, and Paramasivam A.
Copyright: 2026   |   Status: Published   |   Hardcover
 
Bridge the critical gap between AI transparency and security with this essential guide to the systematic defense frameworks and ethical strategies needed to protect explainable AI (XAI) systems from sophisticated adversarial attacks. 


 
Secure Blockchain and Quantum Technologies for 6G-Enabled IoT
Edited by T. Perarsi, M. Karthiga, S. Sountharrajan, E. Suganya, and Balamurugan Balusamy
Copyright: 2026   |   Status: Published   |   Hardcover
 
Future-proof your hyper-connected infrastructure against the looming quantum threat bwith this guide to mastering blockchain-driven security frameworks and quantum-resistant architectures essential for safeguarding data integrity in the 6G-powered era.


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