Search

Browse Subject Areas

For Authors

Submit a Proposal

Subject Area: Computer Science



 
Automated Secure Computing for Next-Generation Systems
Edited by Amit Kumar Tyagi
Copyright: 2023   |   Status: Published   |   Hardcover
 
This book provides cutting-edge chapters on machine-empowered
solutions for next-generation systems for today’s society.


 
Mathematics and Computer Science Volume 2
Edited by Sharmistha Ghosh, M. Niranjanamurthy, Krishanu Deyasi, Biswadip Basu Mallik, and Santanu Das
Copyright: 2023   |   Status: Published   |   Hardcover
 
This second volume in a new multi-volume set builds on the basic concepts and fundamentals laid out in the previous volume, presenting the reader with more advanced and cutting-edge topics being developed in this exciting field.


 
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.


 
Internet of Medical Things (IoMT)
Healthcare Transformation.

Edited by R. J. Hemalatha, D. Akila, D. Balaganesh and Anand Paul
Copyright: 2022   |   Status: Published   |   Hardcover
 
Providing an essential addition to the reference material available in the field of IoMT, this timely publication covers a range of applied research on healthcare, biomedical data mining, and the security and privacy of health records.


 
Machine Learning Techniques and Analytics for Cloud Security.
Edited by Rajdeep Chakraborty, Anupam Ghosh and Jyotsna Kumar Mandal
Copyright: 2022   |   Status: Published   |   Hardcover
 
This book covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security 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.


 
Artificial intelligence and Data Mining in Security Frameworks
Edited by Neeraj Bhargava, Ritu Bhargava, Pramod Singh Rathore, and Rashmi Agrawal
Copyright: 2022   |   Status: Published   |   Hardcover
 
Written and edited by a team of experts in the field, this outstanding new volume offers solutions to the problems of security, outlining the concepts behind allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts.


 
Smart Systems for Industrial Applications
Edited by C. Venkatesh, N. Rengarajan, P. Ponmurugan and S. Balamurugan
Copyright: 2022   |   Status: Published   |   Hardcover
 
The prime objective of this book is to provide an insight into the role and advancements of artificial intelligence in electrical systems and future challenges.


 
Handbook of Intelligent Computing and Optimization for Sustainable Development
Edited by Mukhdeep Singh Manshahia, Valeriy Kharchenko, Elias Munapo, J. Joshua Thomas and Pandian Vasant
Copyright: 2022   |   Status: Published   |   Hardcover
 
This book provides a comprehensive overview of the latest breakthroughs
and recent progress in sustainable intelligent computing technologies, applications, and optimization techniques across various industries.


 
Deep Learning Approaches to Cloud Security
Edited by Pramod Singh Rathore, Vishal Dutt, Rashmi Agrawal, Satya Murthy Sasubilli, and Srinivasa Rao Swarna
Copyright: 2022   |   Status: Published   |   Hardcover
 
Covering one of the most important subjects to our society today, this editorial team delves into solutions taken from evolving deep learning approaches, solutions allow computers to learn from experience and understand the world in terms of a hierarchy of concepts.


 
Data Mining and Machine Learning Applications
Edited by Rohit Raja, Kapil Kumar Nagwanshi, Sandeep Kumar and K. Ramya Laxmi
Copyright: 2022   |   Status: Published   |   Hardcover
 
The book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among research in different disciplines, thus facilitating research development and collaboration.


 
Advanced Healthcare Systems
Empowering Physicians with IoT-Enabled Technologies

Edited by Rohit Tanwar, S. Balamurugan, R. K. Saini, Vishal Bharti and Premkumar Chithaluru
Copyright: 2022   |   Status: Published   |   Hardcover
 
This book offers a complete package involving the incubation of machine learning, AI, and IoT in healthcare that is beneficial for researchers, healthcare professionals, scientists, and technologists.


 
Fundamentals and Methods of Machine and Deep Learning
Algorithms, Tools, and Applications

Edited by Pradeep Singh
Copyright: 2022   |   Status: Published   |   Hardcover
 
The book provides a practical approach by explaining the concepts
of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications.


 
Smart City Infrastructure
The Blockchain Perspective

Edited by Vishal Kumar, Vishal Jain, Bharti Sharma, Jyotir Moy Chatterjee and Rakesh Shrestha
Copyright: 2022   |   Status: Published   |   Hardcover
 
The wide range of topics presented in this book have been chosen to provide the reader with a better understanding of smart cities integrated with AI and blockchain and related security issues.


 
Intelligent Systems for Rehabilitation Engineering
Edited by Roshani Raut, Pranav Pathak, Sandeep Kautish and Pradeep N
Copyright: 2022   |   Status: Published   |   Hardcover
 
Encapsulates different case studies where technology can be used as assistive technology for the physically challenged, visually and hearing impaired.


 
Machine Learning Paradigm for Internet of Things Applications
Edited by Shalli Rani, R. Maheswar, G. R. Kanagachidambaresan, Sachin Ahuja and Deepali Gupta
Copyright: 2022   |   Status: Published   |   Hardcover
 
As companies globally realize the revolutionary potential of the IoT, they have started finding a number of obstacles they need to address to leverage it efficiently. Many businesses and industries use machine learning to exploit the IoT’s potential and this book brings clarity to the issue.


Page: 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9