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Advancements in Quantum Blockchain With Real-Time Applications (Hardcover): Mahendra Kumar Shrivas, Kamal Kant Hiran, Ashok... Advancements in Quantum Blockchain With Real-Time Applications (Hardcover)
Mahendra Kumar Shrivas, Kamal Kant Hiran, Ashok Bhansali, Ruchi Doshi
R7,816 Discovery Miles 78 160 Ships in 10 - 15 working days

The amalgamation of post-quantum cryptography in cyber-physical systems makes the computing system secure and also generates opportunities in areas like smart contracts, quantum blockchain, and smart security solutions. Sooner or later, all computing and security systems are going to adopt quantum-proof cryptography to safeguard these systems from quantum attacks. Post-quantum cryptography has tremendous potential in various domains and must be researched and explored further to be utilized successfully. Advancements in Quantum Blockchain With Real-Time Applications considers various concepts of computing such as quantum computing, post-quantum cryptography, quantum attack-resistant blockchain, quantum blockchains, and multidisciplinary applications and real-world use cases. The book also discusses solutions to various real-world problems within the industry. Covering key topics such as cybersecurity, data management, and smart society, this reference work is ideal for computer scientists, industry professionals, academicians, practitioners, scholars, researchers, instructors, and students.

Machine Learning and Deep Learning in Real-Time Applications (Hardcover): Mehul Mahrishi, Kamal Kant Hiran, Gaurav Meena,... Machine Learning and Deep Learning in Real-Time Applications (Hardcover)
Mehul Mahrishi, Kamal Kant Hiran, Gaurav Meena, Paawan Sharma
R7,124 Discovery Miles 71 240 Ships in 10 - 15 working days

Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe.

Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence (Hardcover): Kamal Kant Hiran, K... Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence (Hardcover)
Kamal Kant Hiran, K Hemachandran, Anil Pise, B. Justus Rabi
R9,737 Discovery Miles 97 370 Ships in 10 - 15 working days

Artificial intelligence (AI) is influencing the future of almost every sector and human being. AI has been the primary driving force behind emerging technologies such as big data, blockchain, robots, and the internet of things (IoT), and it will continue to be a technological innovator for the foreseeable future. New algorithms in AI are changing business processes and deploying AI-based applications in various sectors. The Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence is a comprehensive reference that presents cases and best practices of AI and knowledge engineering applications on business intelligence. Covering topics such as deep learning methods, face recognition, and sentiment analysis, this major reference work is a dynamic resource for business leaders and executives, IT managers, AI scientists, students and educators of higher education, librarians, researchers, and academicians.

Artificial Intelligence and Internet of Things for Renewable Energy Systems (Hardcover): Neeraj Priyadarshi, Sanjeevikumar... Artificial Intelligence and Internet of Things for Renewable Energy Systems (Hardcover)
Neeraj Priyadarshi, Sanjeevikumar Padmanaban, Kamal Kant Hiran, Jens Bo Holm-Nielson, Ramesh C. Bansal
R4,294 Discovery Miles 42 940 Ships in 10 - 15 working days

THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research findings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the field and create a broad knowledge about the most recent research. Series Editor Dr. Siddhartha Bhattacharyya, CHRIST (Deemed to be University), Bangalore, India Editorial Advisory Board Dr. Elizabeth Behrman, Wichita State University, Kansas, USA Dr. Goran Klepac Dr. Leo Mrsic, Algebra University College, Croatia Dr. Aboul Ella Hassanien, Cairo University, Egypt Dr. Jan Platos, VSB-Technical University of Ostrava, Czech Republic Dr. Xiao-Zhi Gao, University of Eastern Finland, Finland Dr. Wellington Pinheiro dos Santos, Federal University of Pernambuco, Brazil

Machine Learning for Sustainable Development (Hardcover): Kamal Kant Hiran, Deepak Khazanchi, Ajay Kumar Vyas, Sanjeevikumar... Machine Learning for Sustainable Development (Hardcover)
Kamal Kant Hiran, Deepak Khazanchi, Ajay Kumar Vyas, Sanjeevikumar Padmanaban
R3,982 Discovery Miles 39 820 Ships in 10 - 15 working days

The book will focus on the applications of machine learning for sustainable development. Machine learning (ML) is an emerging technique whose diffusion and adoption in various sectors (such as energy, agriculture, internet of things, infrastructure) will be of enormous benefit. The state of the art of machine learning models is most useful for forecasting and prediction of various sectors for sustainable development.

Mobile Applications Development - With Python in Kivy Framework (Paperback): Tarkeshwar Barua, Ruchi Doshi, Kamal Kant Hiran Mobile Applications Development - With Python in Kivy Framework (Paperback)
Tarkeshwar Barua, Ruchi Doshi, Kamal Kant Hiran
R1,585 R1,253 Discovery Miles 12 530 Save R332 (21%) Ships in 10 - 15 working days

The book covers the concepts of Python programming language along with mobile application development. Starting from fundamentals, the book continues with the explanation of mobile app development using Kivy framework. All the chapters offer questions and exercises for to better understanding of the subject. At the end of the book some hands-on projects are given to help the readers to improve their programming and project development skills.

Blockchain 3.0 for Sustainable Development (Hardcover): Deepak Khazanchi, Ajay Kumar Vyas, Kamal Kant Hiran, Sanjeevikumar... Blockchain 3.0 for Sustainable Development (Hardcover)
Deepak Khazanchi, Ajay Kumar Vyas, Kamal Kant Hiran, Sanjeevikumar Padmanaban
R2,982 Discovery Miles 29 820 Ships in 12 - 17 working days

This book will focus on the use of Blockchain 3.0 for sustainable development. This tool is invaluable for achieving transparency and trust, but possibilities to benefit society more broadly are emerging that will bring a bright future for sustainable development, too. The adoption of blockchain in agriculture, healthcare, infrastructure, education, environment, energy, communication will provide revolutionary changes in the digital era.

Advancements in Quantum Blockchain With Real-Time Applications (Paperback): Mahendra Kumar Shrivas, Kamal Kant Hiran, Ashok... Advancements in Quantum Blockchain With Real-Time Applications (Paperback)
Mahendra Kumar Shrivas, Kamal Kant Hiran, Ashok Bhansali, Ruchi Doshi
R6,001 Discovery Miles 60 010 Ships in 10 - 15 working days

The amalgamation of post-quantum cryptography in cyber-physical systems makes the computing system secure and also generates opportunities in areas like smart contracts, quantum blockchain, and smart security solutions. Sooner or later, all computing and security systems are going to adopt quantum-proof cryptography to safeguard these systems from quantum attacks. Post-quantum cryptography has tremendous potential in various domains and must be researched and explored further to be utilized successfully. Advancements in Quantum Blockchain With Real-Time Applications considers various concepts of computing such as quantum computing, post-quantum cryptography, quantum attack-resistant blockchain, quantum blockchains, and multidisciplinary applications and real-world use cases. The book also discusses solutions to various real-world problems within the industry. Covering key topics such as cybersecurity, data management, and smart society, this reference work is ideal for computer scientists, industry professionals, academicians, practitioners, scholars, researchers, instructors, and students.

Real-Time Applications of Machine Learning in Cyber-Physical Systems (Paperback): Balamurugan Easwaran, Kamal Kant Hiran,... Real-Time Applications of Machine Learning in Cyber-Physical Systems (Paperback)
Balamurugan Easwaran, Kamal Kant Hiran, Sangeetha Krishnan, Ruchi Doshi
R5,368 Discovery Miles 53 680 Ships in 10 - 15 working days

Technological advancements of recent decades have reshaped the way people socialize, work, learn, and ultimately live. The use of cyber-physical systems (CPS) specifically have helped people lead their lives with greater control and freedom. CPS domains have great societal significance, providing crucial assistance in industries ranging from security to healthcare. At the same time, machine learning (ML) algorithms are known for being substantially efficient, high performing, and have become a real standard due to greater accessibility, and now more than ever, multidisciplinary applications of ML for CPS have become a necessity to help uncover constructive solutions for real-world problems. Real-Time Applications of Machine Learning in Cyber-Physical Systems provides a relevant theoretical framework and the most recent empirical findings on various real-time applications of machine learning in cyber-physical systems. Covering topics like intrusion detection systems, predictive maintenance, and seizure prediction, this book is an essential resource for researchers, machine learning professionals, independent researchers, scholars, scientists, libraries, and academicians.

Machine Learning - Master Supervised and Unsupervised Learning Algorithms with Real Examples (Paperback): Dr Ruchi Doshi Dr... Machine Learning - Master Supervised and Unsupervised Learning Algorithms with Real Examples (Paperback)
Dr Ruchi Doshi Dr Kamal Kant Hiran
R1,106 Discovery Miles 11 060 Ships in 10 - 15 working days
Machine Learning and Deep Learning in Real-Time Applications (Paperback): Mehul Mahrishi, Kamal Kant Hiran, Gaurav Meena,... Machine Learning and Deep Learning in Real-Time Applications (Paperback)
Mehul Mahrishi, Kamal Kant Hiran, Gaurav Meena, Paawan Sharma
R5,421 Discovery Miles 54 210 Ships in 10 - 15 working days

Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe.

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