This book constitutes the proceedings of the 4th International Conference on Computational Intelligence, Cyber Security, and Computational Models, ICC3 2019, which was held in Coimbatore, India, in December 2019. The 9 papers presented in this volume were carefully reviewed and selected from 38 submissions. They were organized in topical sections named: computational intelligence; cyber security; and computational models.

This book constitutes the proceedings of the Third International Conference on Computational Intelligence, Cyber Security, and Computational Models, ICC3 2017, which was held in Coimbatore, India, in December 2017. The 15 papers presented in this volume were carefully reviewed and selected from 63 submissions. They were organized in topical sections named: computational intelligence; cyber security; and computational models.

As cybersecurity threats continue to grow in scale and complexity, it is crucial to explore new and innovative solutions to combat them. The application of computer vision (CV) techniques in cybersecurity offers a promising solution to protect sensitive data and systems from malicious attacks. By leveraging CV algorithms, cybersecurity professionals and researchers can design more efficient and effective cybersecurity solutions, making them better equipped to handle the growing number of cyber threats. Global Perspectives on the Applications of Computer Vision in Cybersecurity is a comprehensive guide that offers practical insights into the principles and techniques of computer vision for cybersecurity. The book highlights the real-world applications of CV in various domains, including computer system security, web security, network security, IoT security, and digital forensics. It also emphasizes the importance of responsible CV for cybersecurity, ensuring that CV models adhere to ethical principles and are transparent and interpretable. By reading this book, cybersecurity professionals and researchers can gain a better understanding of how to use CV techniques to design solid cybersecurity solutions and address the challenges involved. With the guidance of the editors, Franklin Tchakounte and Marcellin Atemkeng, who are experts in both cybersecurity and computer vision, readers can leverage the power of CV to secure the future of our digital world. Join the movement today to revolutionize the field of cybersecurity and protect against the growing threat of cyber-attacks.

This book constitutes the proceedings of the 5th International Conference, ICC3 2021, held in Coimbatore, India, during December 16–18, 2021. The 14 full papers included in this book were carefully reviewed and selected from 84 submissions. They were organized in topical sections as follows: computational intelligence; cyber security; and computational models.

The cultivation of crops plays a very important role in agriculture. However, proper maintenance and management are required. Lack of such management would lead to crop loss or reduced crop yields. Hence, the ability to detect and identify diseases on infected crops is a problem of increasing concern. Real-time disease detection systems do not exist in the current agricultural landscape. It requires tremendous amounts of work, expertise in plant diseases, and excessive processing time. Using precision agriculture techniques, combined with AI, a great deal of work is reduced. Contemporary Developments in Agricultural Cyber-Physical Systems provides a forum for researchers and practitioners to exchange ideas and achieve progress in cyber-physical systems by highlighting agricultural applications, advances, and research challenges. The book features chapters on all aspects pertaining to this multidisciplinary paradigm, in particular in its application to sustainable agriculture developments. Covering topics such as automation, monitoring systems, and smart agriculture, this premier reference source is an excellent resource for scientists, healthcare professionals, data analysts, computer scientists, students and educators of higher education, researchers, and academicians.

This book constitutes refereed proceedings of the Second International Conference on Big Data, Machine Learning, and Applications, BigDML 2021. The volume focuses on topics such as computing methodology; machine learning; artificial intelligence; information systems; security and privacy. This volume will benefit research scholars, academicians, and industrial people who work on data storage and machine learning.

This book contains cutting-edge research material presented by researchers, engineers, developers, and practitioners from academia and industry at the International Conference on Computational Intelligence, Cyber Security and Computational Models (ICC3) organized by PSG College of Technology, Coimbatore, India during December 19–21, 2013. The materials in the book include theory and applications to provide design, analysis, and modeling of the key areas. The book will be useful material for students, researchers, professionals, as well academicians in understanding current research trends and findings and future scope of research in computational intelligence, cyber security, and computational models.