Ic-ETITE'20


Book Description










Proceedings of International Conference on Recent Innovations in Computing


Book Description

This book features selected papers presented at the 5th International Conference on Recent Innovations in Computing (ICRIC 2022), held on August 13–14, 2022, organized by the ELTE, Hungary in association with Knowledge University, Erbil and many academic and industry partners which includes; European Institute of Data Analytics (EiDA), Dublin, Ireland and CSRL Lab, India . The book is second part of the two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.







Proceedings of the International Conference on Computational Intelligence and Sustainable Technologies


Book Description

This book presents the collection of the accepted research papers presented in the 1st ‘International Conference on Computational Intelligence and Sustainable Technologies (ICoCIST-2021)’. This edited book contains the articles related to the themes on artificial intelligence in machine learning, big data analysis, soft computing techniques, pattern recognitions, sustainable infrastructural development, sustainable grid computing and innovative technology for societal development, renewable energy, and innovations in Internet of Things (IoT).




Proceedings of the Seventh International Conference on Mathematics and Computing


Book Description

This book features selected papers from the 7th International Conference on Mathematics and Computing (ICMC 2021), organized by Indian Institute of Engineering Science and Technology (IIEST), Shibpur, India, during March 2021. It covers recent advances in the field of mathematics, statistics, and scientific computing. The book presents innovative work by leading academics, researchers, and experts from industry.




Global Perspectives on the Applications of Computer Vision in Cybersecurity


Book Description

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.




Metaheuristic and Machine Learning Optimization Strategies for Complex Systems


Book Description

In contemporary engineering domains, optimization and decision-making issues are crucial. Given the vast amounts of available data, processing times and memory usage can be substantial. Developing and implementing novel heuristic algorithms is time-consuming, yet even minor improvements in solutions can significantly reduce computational costs. In such scenarios, the creation of heuristics and metaheuristic algorithms has proven advantageous. The convergence of machine learning and metaheuristic algorithms offers a promising approach to address these challenges. Metaheuristic and Machine Learning Optimization Strategies for Complex Systems covers all areas of comprehensive information about hyper-heuristic models, hybrid meta-heuristic models, nature-inspired computing models, and meta-heuristic models. The key contribution of this book is the construction of a hyper-heuristic approach for any general problem domain from a meta-heuristic algorithm. Covering topics such as cloud computing, internet of things, and performance evaluation, this book is an essential resource for researchers, postgraduate students, educators, data scientists, machine learning engineers, software developers and engineers, policy makers, and more.




Deep Sciences for Computing and Communications


Book Description

This book constitutes selected papers presented during the First International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2022, held in Chennai, India, in March 2022. The 27 papers presented were thoroughly reviewed and selected from 97 submissions. They are organized in topical sections as follows: ​classification and regression problems for communication paradigms; deep learning and vision computing; deep- recurrent neural network (RNN) for industrial informatics; extended AI for heterogeneous edge.