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Subject Area: Artificial Intelligence

	Explainable Machine Learning Models and Architectures Real-Time System Implementation Edited by Suman Lata Tripathi and Mufti Mahmud Copyright: 2024 \| Status: Published \| Hardcover This cutting-edge new volume covers the hardware architecture implementation, the software implementation approach, and the efficient hardware of machine learning applications.
	Artificial Intelligence for Risk Mitigation in the Financial Industry Edited by Ambrish Kumar Mishra, Shweta Anand, Narayan C. Debnath, Purvi Pokhariyal, Archana Patel Copyright: 2024 \| Status: Contracted \| Expected Pub Date:12/30/2023 \| Hardcover This book extensively explores the implementation of AI in the risk mitigation process and provides information for auditing, banking, and financial sectors on how to reduce risk and enhance effective reliability.
	Conversational Artificial Intelligence Romil Rawat, Rajesh Kumar Chakrawarti, Sanjaya Kumar Sarangi, Anand Rajavat, Mary Sowjanya Alamanda, Kotagiri Srividya, and K. Sakthidasan Sankaran Copyright: 2024 \| Status: Published \| Hardcover This book presents the need for, design, and application of conversational artificial intelligence (AI). Expert knowledge is shared on leading innovations in natural language processing (NLP) and machine learning (ML) techniques that are frequently combined with more traditional, static kinds of interactive technology, such as chatbots, to create conversational AI.
	AI for Autonomous Vehicles The Future of Driverless Technology Edited by Sathiyaraj Rajendran, Munish Sabharwal, Yu-Chen Hu, Rajesh Kumar Dhanaraj, and Balamurugan Balusamy Copyright: 2024 \| Status: Published \| Hardcover This title presents the research prospects and security challenges present in the exciting new field of autonomous vehicles by comprehensively introducing advanced concepts of artificial intelligence (AI) in driverless technology.
	Metaheuristics for Machine Learning Algorithms and Applications Edited by Kanak Kalita, Narayanan Ganesh and S. Balamurugan Copyright: 2024 \| Status: Published \| Hardcover The book unlocks the power of nature-inspired optimization in machine learning and presents a comprehensive guide to cutting-edge algorithms, interdisciplinary insights, and real-world applications.
	Swarm Intelligence An Approach from Natural to Artificial By Kuldeep Singh Kaswan, Jagjit Singh Dhatterwal and Avadhesh Kumar Copyright: 2023 \| Status: Published \| Hardcover This important authored book presents valuable new insights by exploring the boundaries shared by cognitive science, social psychology, artificial life, artificial intelligence, and evolutionary computation by applying these insights to solving complex engineering problems.
	Artificial Intelligence Applications and Reconfigurable Architectures Edited by Anuradha D. Thakare and Sheetal Umesh Bhandari Copyright: 2023 \| Status: Published \| Hardcover The primary goal of this book is to present the design, implementation, and performance issues of AI applications and the suitability of the FPGA platform.
	A Roadmap for Enabling Industry 4.0 by Artificial Intelligence Edited by Jyotir Moy Chatterjee, Harish Garg and R. N. Thakur Copyright: 2023 \| Status: Published \| Hardcover The book presents comprehensive and up-to-date technological solutions to the main aspects regarding the applications of artificial intelligence to Industry 4.0.
	Ambient Intelligence and Internet of Things Convergent Technologies Edited by Md Rashid Mahmood, Rohit Raja, Harpreet Kaur, Sandeep Kumar and Kapil Kumar Nagwanshi Copyright: 2023 \| Status: Published \| Hardcover The book explores long-term implementation techniques and research paths of ambient intelligence and the Internet of Things that meet the design and application requirements of a variety of modern and real-time applications.
	Brain-Computer Interface Using Deep Learning Applications Edited by M.G. Sumithra, Rajesh Kumar Dhanaraj, Mariofanna Milanova, Balamurugan Balusamy and Chandran Venkatesan Copyright: 2023 \| Status: Published \| Hardcover It covers all the research prospects and recent advancements in the brain-computer interface using deep learning.
	Fuzzy Logic Applications in Computer Science and Mathematics Edited by Rahul Kar, Dac-Nhuong Le, Gunjan Mukherjee and Biswadip Basu Mallik and Ashok Kumar Shaw Copyright: 2023 \| Status: Published \| Expected Pub Date: 2023/07/30 \| Hardcover The prime objective of developing this book is to provide meticulous details about the basic and advanced concepts of fuzzy logic and its all-around applications to different fields of mathematics and engineering.
	Artificial Intelligence for Sustainable Applications Edited by K. Umamaheswari, B. Vinoth Kumar and S. K. Somasundaram Copyright: 2023 \| Status: Published \| Hardcover AI researchers as well as engineers in information technology and computer science.
	Handbook of Computational Sciences A Multi and Interdisciplinary Approach Edited by Ahmed A. Elngar, Vigneshwar. M., Krishna Kant Singh and Zdzislaw Polkowski Copyright: 2023 \| Status: Published \| Hardcover The Handbook of Computational Sciences is a comprehensive collection of research chapters that brings together the latest advances and trends in computational sciences and addresses the interdisciplinary nature of computational sciences, which require expertise from multiple disciplines to solve complex problems.
	Metaverse and Immersive Technologies An Introduction to Industrial, Business and Social Applications Edited by Chandrashekhar A, Shaik Himam Saheb, Sandeep Kumar Panda, S. Balamurugan and Sheng-Lung Peng Copyright: 2023 \| Status: Published \| Hardcover The book covers the multidimensional perspective of the metaverse in the perspective of virtual reality, augmented reality, blockchain, artificial intelligence, and IoT ranging from rudimentary to advanced applications.
	Innovative Engineering with AI Applications Edited by Anamika Ahirwar, Piyush Kumar Shukla, Manish Shrivastava, Priti Maheshwary and Bhupesh Gour Copyright: 2023 \| Status: Published \| Hardcover Innovative Engineering with AI Applications demonstrates how we can innovate in different engineering domains as well as how to make most business problems simpler by applying AI to them.
	Semantic Web for Effective Healthcare Systems Edited by Vishal Jain, Jyotir Moy Chatterjee, Ankita Bansal and Abha Jain Copyright: 2022 \| Status: Published \| Hardcover The book summarizes the trends and current research advances in web semantics, delineating the existing tools, techniques, methodologies, and research solutions.
	Nature-Inspired Algorithms and Applications Edited by S. Balamurugan, Anupriya Jain, Sachin Sharma, Dinesh Goyal, Sonia Duggal and Seema Sharma Copyright: 2022 \| Status: Published \| Hardcover The book’s unified approach of balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work.
	Impact of Artificial Intelligence on Organizational Transformation Edited by S. Balamurugan, Sonal Pathak, Anupriya Jain, Sachin Gupta, and Sachin Sharma and Sonia Duggal Copyright: 2022 \| Status: Published \| Hardcover Discusses the impact of AI on organizational transformation which is a mix of computational techniques and management practices, with in-depth analysis about the role of automation & data management, and strategic management in relation to human capital, procurement & production, finance, and marketing.
	Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms Edited by Sandeep Kumar, Rohit Raja, Shrikant Tiwari and Shilpa Rani Copyright: 2022 \| Status: Published \| Hardcover The objective of this book is to provide the most relevant information on Human-Computer Interaction to academics, researchers, and students and for those from industry who wish to know more about the real-time application of user interface design.
	Advanced Analytics and Deep Learning Models Edited by Archana Mire, Shaveta Malik and Amit Kumar Tyagi Copyright: 2022 \| Status: Published \| Hardcover The book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc.

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	Explainable Machine Learning Models and Architectures Real-Time System Implementation Edited by Suman Lata Tripathi and Mufti Mahmud Copyright: 2024 \| Status: Published \| Hardcover This cutting-edge new volume covers the hardware architecture implementation, the software implementation approach, and the efficient hardware of machine learning applications.
	Artificial Intelligence for Risk Mitigation in the Financial Industry Edited by Ambrish Kumar Mishra, Shweta Anand, Narayan C. Debnath, Purvi Pokhariyal, Archana Patel Copyright: 2024 \| Status: Contracted \| Expected Pub Date:12/30/2023 \| Hardcover This book extensively explores the implementation of AI in the risk mitigation process and provides information for auditing, banking, and financial sectors on how to reduce risk and enhance effective reliability.
	Conversational Artificial Intelligence Romil Rawat, Rajesh Kumar Chakrawarti, Sanjaya Kumar Sarangi, Anand Rajavat, Mary Sowjanya Alamanda, Kotagiri Srividya, and K. Sakthidasan Sankaran Copyright: 2024 \| Status: Published \| Hardcover This book presents the need for, design, and application of conversational artificial intelligence (AI). Expert knowledge is shared on leading innovations in natural language processing (NLP) and machine learning (ML) techniques that are frequently combined with more traditional, static kinds of interactive technology, such as chatbots, to create conversational AI.
	AI for Autonomous Vehicles The Future of Driverless Technology Edited by Sathiyaraj Rajendran, Munish Sabharwal, Yu-Chen Hu, Rajesh Kumar Dhanaraj, and Balamurugan Balusamy Copyright: 2024 \| Status: Published \| Hardcover This title presents the research prospects and security challenges present in the exciting new field of autonomous vehicles by comprehensively introducing advanced concepts of artificial intelligence (AI) in driverless technology.
	Metaheuristics for Machine Learning Algorithms and Applications Edited by Kanak Kalita, Narayanan Ganesh and S. Balamurugan Copyright: 2024 \| Status: Published \| Hardcover The book unlocks the power of nature-inspired optimization in machine learning and presents a comprehensive guide to cutting-edge algorithms, interdisciplinary insights, and real-world applications.
	Swarm Intelligence An Approach from Natural to Artificial By Kuldeep Singh Kaswan, Jagjit Singh Dhatterwal and Avadhesh Kumar Copyright: 2023 \| Status: Published \| Hardcover This important authored book presents valuable new insights by exploring the boundaries shared by cognitive science, social psychology, artificial life, artificial intelligence, and evolutionary computation by applying these insights to solving complex engineering problems.
	Artificial Intelligence Applications and Reconfigurable Architectures Edited by Anuradha D. Thakare and Sheetal Umesh Bhandari Copyright: 2023 \| Status: Published \| Hardcover The primary goal of this book is to present the design, implementation, and performance issues of AI applications and the suitability of the FPGA platform.
	A Roadmap for Enabling Industry 4.0 by Artificial Intelligence Edited by Jyotir Moy Chatterjee, Harish Garg and R. N. Thakur Copyright: 2023 \| Status: Published \| Hardcover The book presents comprehensive and up-to-date technological solutions to the main aspects regarding the applications of artificial intelligence to Industry 4.0.
	Ambient Intelligence and Internet of Things Convergent Technologies Edited by Md Rashid Mahmood, Rohit Raja, Harpreet Kaur, Sandeep Kumar and Kapil Kumar Nagwanshi Copyright: 2023 \| Status: Published \| Hardcover The book explores long-term implementation techniques and research paths of ambient intelligence and the Internet of Things that meet the design and application requirements of a variety of modern and real-time applications.
	Brain-Computer Interface Using Deep Learning Applications Edited by M.G. Sumithra, Rajesh Kumar Dhanaraj, Mariofanna Milanova, Balamurugan Balusamy and Chandran Venkatesan Copyright: 2023 \| Status: Published \| Hardcover It covers all the research prospects and recent advancements in the brain-computer interface using deep learning.
	Fuzzy Logic Applications in Computer Science and Mathematics Edited by Rahul Kar, Dac-Nhuong Le, Gunjan Mukherjee and Biswadip Basu Mallik and Ashok Kumar Shaw Copyright: 2023 \| Status: Published \| Expected Pub Date: 2023/07/30 \| Hardcover The prime objective of developing this book is to provide meticulous details about the basic and advanced concepts of fuzzy logic and its all-around applications to different fields of mathematics and engineering.
	Artificial Intelligence for Sustainable Applications Edited by K. Umamaheswari, B. Vinoth Kumar and S. K. Somasundaram Copyright: 2023 \| Status: Published \| Hardcover AI researchers as well as engineers in information technology and computer science.
	Handbook of Computational Sciences A Multi and Interdisciplinary Approach Edited by Ahmed A. Elngar, Vigneshwar. M., Krishna Kant Singh and Zdzislaw Polkowski Copyright: 2023 \| Status: Published \| Hardcover The Handbook of Computational Sciences is a comprehensive collection of research chapters that brings together the latest advances and trends in computational sciences and addresses the interdisciplinary nature of computational sciences, which require expertise from multiple disciplines to solve complex problems.
	Metaverse and Immersive Technologies An Introduction to Industrial, Business and Social Applications Edited by Chandrashekhar A, Shaik Himam Saheb, Sandeep Kumar Panda, S. Balamurugan and Sheng-Lung Peng Copyright: 2023 \| Status: Published \| Hardcover The book covers the multidimensional perspective of the metaverse in the perspective of virtual reality, augmented reality, blockchain, artificial intelligence, and IoT ranging from rudimentary to advanced applications.
	Innovative Engineering with AI Applications Edited by Anamika Ahirwar, Piyush Kumar Shukla, Manish Shrivastava, Priti Maheshwary and Bhupesh Gour Copyright: 2023 \| Status: Published \| Hardcover Innovative Engineering with AI Applications demonstrates how we can innovate in different engineering domains as well as how to make most business problems simpler by applying AI to them.
	Semantic Web for Effective Healthcare Systems Edited by Vishal Jain, Jyotir Moy Chatterjee, Ankita Bansal and Abha Jain Copyright: 2022 \| Status: Published \| Hardcover The book summarizes the trends and current research advances in web semantics, delineating the existing tools, techniques, methodologies, and research solutions.
	Nature-Inspired Algorithms and Applications Edited by S. Balamurugan, Anupriya Jain, Sachin Sharma, Dinesh Goyal, Sonia Duggal and Seema Sharma Copyright: 2022 \| Status: Published \| Hardcover The book’s unified approach of balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work.
	Impact of Artificial Intelligence on Organizational Transformation Edited by S. Balamurugan, Sonal Pathak, Anupriya Jain, Sachin Gupta, and Sachin Sharma and Sonia Duggal Copyright: 2022 \| Status: Published \| Hardcover Discusses the impact of AI on organizational transformation which is a mix of computational techniques and management practices, with in-depth analysis about the role of automation & data management, and strategic management in relation to human capital, procurement & production, finance, and marketing.
	Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms Edited by Sandeep Kumar, Rohit Raja, Shrikant Tiwari and Shilpa Rani Copyright: 2022 \| Status: Published \| Hardcover The objective of this book is to provide the most relevant information on Human-Computer Interaction to academics, researchers, and students and for those from industry who wish to know more about the real-time application of user interface design.
	Advanced Analytics and Deep Learning Models Edited by Archana Mire, Shaveta Malik and Amit Kumar Tyagi Copyright: 2022 \| Status: Published \| Hardcover The book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc.

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Subject Area: Artificial Intelligence