This book comprises the proceedings of the Encryptcon International Research Conference on Cybersecurity, held at the Indian Institute of Technology Madras, hosted by Team Shaastra. The conference took place on January 6th and 7th, 2024.

This book collects selected papers from the 10th Conference on Signal and Information Processing, Networking and Computers held in Xi’Ning, China held in July, 2022. The book focuses on the current works of information theory, communication system, computer science, aerospace technologies and big data and other related technologies. People from both academia and industry of this field can contribute and find their interests from the book.

This book constitutes the refereed proceedings of the 19th International Forum on Digital Multimedia Communication, IFTC 2022, held in Shanghai, China, December 8–9, 2022. The 40 full papers included in this book were carefully reviewed and selected from 112 submissions. They were organized in topical sections as follows: Computer Vision; Image Analysis; Quality Assessment; Video Processing; Machine Learning; and Big data.

This proceedings constitutes the post-conference proceedings of the 3rd EAI International Conference on Cognitive Computing and Cyber Physical Systems, IC4S 2022, held at Vishnu Institute of Technology, Bhimavaram in Andhra Pradesh, India, in November 26-27, 2022. The theme of IC4S 2022 was: cognitive computing approaches with data mining and machine learning techniques. The 22 full papers were carefully reviewed and selected from 88 submissions. The papers are clustered in thematical issues as follows: machine learning and its applications; cyber security and networking; image processing; IoT applications; smart city eco-system and communications.

This book constitutes the refereed proceedings of the 4th International Conference on Big Data and Security, ICBDS 2022, held in Xiamen, China, during December 8–12, 2022. The 51 full papers and 3 short papers included in this book were carefully reviewed and selected from 211 submissions. They were organized in topical sections as follows: answer set programming; big data and new method; intelligence and machine learning security; data technology and network security; sybersecurity and privacy; IoT security.

This proceedings constitutes the refereed proceedings of the 16th International Conference on Communications and Networking, ChinaCom 2021, held in November 2021. Due to COVID-19 pandemic the conference was held virtually. The 47 full papers and 5 workshop papers presented were carefully selected from 130 submissions. The papers are organized in topical sections on Scheduling and Transmission Optimization in Edge Computing; Complex System Optimization in Edge Computing; Network Communication Enhancement; Signal Processing and Communication Optimization; Deep Learning and Vehicular Communication; Edge Computing and Deep Learning; Finite Blocklength and Distributed Machine Learning; Deep Learning and Network Performance Optimization; Edge Computing and Reinforcement Learning.

The book Human-Robot Interaction - Perspectives and Applications highlights the latest developments and obstacles in the field of human-machine interaction, including collaborative and humanoid robots, symbiosis between humans and robots, human-human collaboration, and robotics. Human-robot interaction has immense potential in areas like healthcare, education, manufacturing, military, and space exploration. This volume consists of several chapters that explore various topics such as the use of robotic wheelchairs, deep neural networks for robot grasp recognition, materials and sensors required for human-robot interaction, the use of drone technology in agriculture, healthcare robots in smart hospitals, and more.

This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniques, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations. Image processing technology has progressed significantly in recent years, and it has been commercialized worldwide to provide superior performance with enhanced computer/machine vision, video processing, and pattern recognition capabilities. Meanwhile, machine learning systems like CNN and CapsNet get popular to provide better model hierarchical relationships and attempts to more closely mimic biological neural organization. As machine learning systems prosper, image processing and machine learning techniques will be tightly intertwined and continuously promote each other in real-world settings. Adopting this trend, however, the image processing researchers are faced with few image reconstruction, analysis, and segmentation challenges. On the application side, the orientation of the image features and noise removal has become a huge burden.