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Subject Area: Computer Science

	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.
	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: Contracted \| Expected Pub Date:2026/04/30 \| 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.
	Content Delivery Networks Using Artificial Intelligence and Internet of Things Revolutionizing Content Delivery Edited by Tanusree Chatterjee, Rajib Banerjee, and Souvik Ganguli Copyright: 2026 \| Status: In Production \| Expected Pub Date:2026 \| Hardcover Stay ahead of the curve by learning how to transform static CDNs into intelligent, AI-powered networks that deliver content faster, more securely, and with pinpoint personalization.
	Blockchain Solutions for Securing Internet of Things Networks Edited by Swati Vashisht, Santosh Kumar Srivastava, Praveen Kumar, and Shubhi Gupta Copyright: 2026 \| Status: In Production \| Expected Pub Date:2026 \| Hardcover Bridge the gap between theoretical blockchain concepts and real-world IoT security with this indispensable guide to building decentralized, tamper-proof ecosystems that eliminate data tampering and unauthorized access.
	Distributed Algorithms and Protocols for the Metaverse A Comprehensive Guide Edited by Abhishek Kumar, Sashi Tarun, Anita Sardana, Abhineet Anand Copyright: 2026 \| Status: In Production \| Expected Pub Date:2026 \| Hardcover Master the construction of robust distributed systems with this technical roadmap, providing the large-scale algorithms and synchronization protocols needed to power a seamless, low-latency metaverse.
	Emotional Intelligence-Driven Engineering Edited by Abhishek Kumar, Suman Lata Tripathi, Inung Wijayanto, and Sugondo Hadiyoso Copyright: 2026 \| Status: In Production \| Expected Pub Date:2026 \| Hardcover In a digital age where technical expertise is no longer enough, this book provides the essential tools to integrate empathy, psychology, and neuroscience into your design process for a deeper human-technology connection.
	Sustainable Quantum Bioinformatics Edited by Raghavendra M. Devadas, Preethi, Praveen Gujjar, Sowmya T., and Yashaswini K.A., and Bharti Jagwani Motwani Copyright: 2026 \| Status: In Production \| Expected Pub Date:2026 \| Hardcover Bridging the critical gap between complex genomic data and actual clinical practice, this essential volume delivers the cutting-edge AI methodologies, expert bioinformatics insights, and practical case studies needed to unlock truly personalized medicine.
	Ensuring Privacy in Digital Twin Ecosystems Edited by Shubham Mahajan, Davinder Paul Singh, Amit Kant Pandit, and Paras Chawla Copyright: 2026 \| Status: In Production \| Expected Pub Date:2026 \| Hardcover Digital Twin Privacy; Data Security in Digital Twins; Privacy-by-Design; Digital Twin Ecosystems; AI-driven Privacy Solutions; Data Anonymization Techniques; Blockchain for Privacy; Digital Twin Security Frameworks; Healthcare Digital Twins; Smart City Privacy; Industrial Digital Twins; GDPR Compliance in Digital Twins; Secure Digital Twins; IoT and Digital Twin Privacy; Quantum Computing and Privacy
	Retrieval Augmented Generation for Natural Language Processing Edited by Sachin Minocha, Malathy Sathyamoorthy, Rajesh Kumar Dhanaraj, and Mayank Kumar Goyal Copyright: 2026 \| Status: In Production \| Expected Pub Date:2026 \| Hardcover Master the cutting-edge technology bridging the gap between massive AI capabilities and precise corporate reality with this essential guide, to overcoming LLM limitations and deploying secure, domain-specific Retrieval-Augmented Generation solutions across real-world industries.
	Cyber Physical Human Systems Emerging Trends and Applications Edited by Anitha Velu, Prasanth Aruchamy, Raghu Ramamoorthy, Rajesh Kumar Dhanaraj, and Manjula Arunraj Copyright: 2026 \| Status: In Production \| Expected Pub Date:2026 \| Hardcover Discover how the seamless integration of human behavior modeling, digital twins, and deep neural networks is revolutionizing vital industries in this essential guide to the next generation of intelligent systems.
	Digital Twin Technology for Solar Concentrators Edited by Surajit Mondal, Paramjeet Singh Paliyal, and Sachin Sharma Copyright: 2026 \| Status: In Production \| Expected Pub Date:2026 \| Hardcover Discover how to lead the renewable energy transition with this definitive, expert-led guide on integrating digital twins, AI, and predictive analytics with advanced solar concentrator systems to maximize operational efficiency and accelerate global decarbonization.
	Natural Language Processing in Mental Health Care Edited by Sudesh Yadav, Pethuru Raj, Satya Prakash Yadav, and Victor Hugo C. de Albuquerque Copyright: 2026 \| Status: Contracted \| Expected Pub Date:2026/08/30 \| Hardcover Move to the forefront of psychiatric technology with a deep dive into the latest advancements in clinical natural language processing, providing the data-driven precision needed to scale mental health resources effectively.
	Classical and Quantum Principal Component Analysis in Data Engineering Edited by Abhishek Kumar, J.P. Ananth, S. Oswalt Manoj, Navneet Kaur, and A. Jayanthiladevi Copyright: 2026 \| Status: In Production \| Expected Pub Date:2026 \| Hardcover This essential resource bridges the gap between classical data limitations and the future of computing, giving you the scalable, quantum-accelerated PCA strategies needed to conquer todays massive, high-dimensional datasets.

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	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.
	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: Contracted \| Expected Pub Date:2026/04/30 \| 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.
	Content Delivery Networks Using Artificial Intelligence and Internet of Things Revolutionizing Content Delivery Edited by Tanusree Chatterjee, Rajib Banerjee, and Souvik Ganguli Copyright: 2026 \| Status: In Production \| Expected Pub Date:2026 \| Hardcover Stay ahead of the curve by learning how to transform static CDNs into intelligent, AI-powered networks that deliver content faster, more securely, and with pinpoint personalization.
	Blockchain Solutions for Securing Internet of Things Networks Edited by Swati Vashisht, Santosh Kumar Srivastava, Praveen Kumar, and Shubhi Gupta Copyright: 2026 \| Status: In Production \| Expected Pub Date:2026 \| Hardcover Bridge the gap between theoretical blockchain concepts and real-world IoT security with this indispensable guide to building decentralized, tamper-proof ecosystems that eliminate data tampering and unauthorized access.
	Distributed Algorithms and Protocols for the Metaverse A Comprehensive Guide Edited by Abhishek Kumar, Sashi Tarun, Anita Sardana, Abhineet Anand Copyright: 2026 \| Status: In Production \| Expected Pub Date:2026 \| Hardcover Master the construction of robust distributed systems with this technical roadmap, providing the large-scale algorithms and synchronization protocols needed to power a seamless, low-latency metaverse.
	Emotional Intelligence-Driven Engineering Edited by Abhishek Kumar, Suman Lata Tripathi, Inung Wijayanto, and Sugondo Hadiyoso Copyright: 2026 \| Status: In Production \| Expected Pub Date:2026 \| Hardcover In a digital age where technical expertise is no longer enough, this book provides the essential tools to integrate empathy, psychology, and neuroscience into your design process for a deeper human-technology connection.
	Sustainable Quantum Bioinformatics Edited by Raghavendra M. Devadas, Preethi, Praveen Gujjar, Sowmya T., and Yashaswini K.A., and Bharti Jagwani Motwani Copyright: 2026 \| Status: In Production \| Expected Pub Date:2026 \| Hardcover Bridging the critical gap between complex genomic data and actual clinical practice, this essential volume delivers the cutting-edge AI methodologies, expert bioinformatics insights, and practical case studies needed to unlock truly personalized medicine.
	Ensuring Privacy in Digital Twin Ecosystems Edited by Shubham Mahajan, Davinder Paul Singh, Amit Kant Pandit, and Paras Chawla Copyright: 2026 \| Status: In Production \| Expected Pub Date:2026 \| Hardcover Digital Twin Privacy; Data Security in Digital Twins; Privacy-by-Design; Digital Twin Ecosystems; AI-driven Privacy Solutions; Data Anonymization Techniques; Blockchain for Privacy; Digital Twin Security Frameworks; Healthcare Digital Twins; Smart City Privacy; Industrial Digital Twins; GDPR Compliance in Digital Twins; Secure Digital Twins; IoT and Digital Twin Privacy; Quantum Computing and Privacy
	Retrieval Augmented Generation for Natural Language Processing Edited by Sachin Minocha, Malathy Sathyamoorthy, Rajesh Kumar Dhanaraj, and Mayank Kumar Goyal Copyright: 2026 \| Status: In Production \| Expected Pub Date:2026 \| Hardcover Master the cutting-edge technology bridging the gap between massive AI capabilities and precise corporate reality with this essential guide, to overcoming LLM limitations and deploying secure, domain-specific Retrieval-Augmented Generation solutions across real-world industries.
	Cyber Physical Human Systems Emerging Trends and Applications Edited by Anitha Velu, Prasanth Aruchamy, Raghu Ramamoorthy, Rajesh Kumar Dhanaraj, and Manjula Arunraj Copyright: 2026 \| Status: In Production \| Expected Pub Date:2026 \| Hardcover Discover how the seamless integration of human behavior modeling, digital twins, and deep neural networks is revolutionizing vital industries in this essential guide to the next generation of intelligent systems.
	Digital Twin Technology for Solar Concentrators Edited by Surajit Mondal, Paramjeet Singh Paliyal, and Sachin Sharma Copyright: 2026 \| Status: In Production \| Expected Pub Date:2026 \| Hardcover Discover how to lead the renewable energy transition with this definitive, expert-led guide on integrating digital twins, AI, and predictive analytics with advanced solar concentrator systems to maximize operational efficiency and accelerate global decarbonization.
	Natural Language Processing in Mental Health Care Edited by Sudesh Yadav, Pethuru Raj, Satya Prakash Yadav, and Victor Hugo C. de Albuquerque Copyright: 2026 \| Status: Contracted \| Expected Pub Date:2026/08/30 \| Hardcover Move to the forefront of psychiatric technology with a deep dive into the latest advancements in clinical natural language processing, providing the data-driven precision needed to scale mental health resources effectively.
	Classical and Quantum Principal Component Analysis in Data Engineering Edited by Abhishek Kumar, J.P. Ananth, S. Oswalt Manoj, Navneet Kaur, and A. Jayanthiladevi Copyright: 2026 \| Status: In Production \| Expected Pub Date:2026 \| Hardcover This essential resource bridges the gap between classical data limitations and the future of computing, giving you the scalable, quantum-accelerated PCA strategies needed to conquer todays massive, high-dimensional datasets.

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Subject Area: Computer Science