The conference covers the following topics (but not limited) Artificial Intelligence and Machine Learning, Computer Vision and Image Processing, Natural Language Processing, Speech Processing, High Performance Computing, Parallel and Distributed Systems, Pervasive Computing, Information Retrieval, Computational Science and Engineering, Data Mining, Information Technology Application, Database and Programming, Multimedia Services and Applications, Audit, Security and Governance, Learning Systems, Simulation, and Cryptography

The conference covers the following topics (but not limited) Artificial Intelligence and Machine Learning, Computer Vision and Image Processing, Natural Language Processing, Speech Processing, High Performance Computing, Parallel and Distributed Systems, Pervasive Computing, Information Retrieval, Computational Science and Engineering, Data Mining, Information Technology Application, Database and Programming, Multimedia Services and Applications, Audit, Security and Governance, Learning Systems, Simulation, and Cryptography.

Smart mobile systems such as microsystems, smart textiles, smart implants, sensor-controlled medical devices and innovative sensor techniques have become important enablers for telemedicine and next-generation health services, with social media and gamification adding further to personalized health (pHealth) as an eco-system. This book presents the proceedings of pHealth 2017, the 14th in a series of international conferences for personalized health held in Eindhoven, the Netherlands, in May 2017. The conference series, which began in 2003 as a dissemination activity in the framework of a European project on wearable micro and nano technologies for personalized health, presents advances in wearable or implantable micro-, nano- and bio-technologies for healthcare and wellness, and brings together expertise from medical, technological, political, administrative, and social domains, and even from philosophy and linguistics. The book contains keynotes and invited papers, as well as 16 oral presentations and 8 poster presentations. Encompassing diverse fields such as medical services, public health, prevention, social and elderly care, wellness and personal fitness, the book will be of interest to practitioners from various medical and health disciplines, as well as developers and administrators, provider institutions, and patient and citizens representatives.

This book presents peer-reviewed articles and recent advances on the potential applications of Science and Mathematics for future technologies, from the 7th International Conference on the Applications of Science and Mathematics (SCIEMATHIC 2021), held in Malaysia. It provides an insight about the leading trends in sustainable Science and Technology. The world is looking for sustainable solutions to problems more than ever. The synergistic approach of mathematicians, scientists and engineers has undeniable importance for future technologies. With this viewpoint, SCIEMATHIC 2021 has the theme “Quest for Sustainable Science and Mathematics for Future Technologies”. The conference brings together physicists, mathematicians, statisticians and data scientists, providing a platform to find sustainable solutions to major problems around us. The works presented here are suitable for professionals and researchers globally in making the world a better and sustainable place.

This book gathers a collection of high-quality peer-reviewed research papers presented at First International Conference on Innovations in Software Architecture and Computational Systems (ISACS 2021), held at Guru Nanak Institute of Technology, Kolkata, India, during 2 – 3 April 2021. The book primarily focuses on developing artificial intelligence-based algorithms and methodologies for enabling intelligent hardware and software systems. This book brings together the latest findings on efficient technological solutions for developing intelligent and hybrid systems, intelligent software architecture, machine intelligence-based analytical tools and also smart sensors and networks. The prime focus is on solving technological problems using state-of-the-art research finding like fuzzy computing, evolutionary and hybrid frameworks, neuro-computing, etc., along with other AI-based computation platforms. The book offers a valuable resource for all undergraduate, postgraduate students and researchers interested in exploring solution frameworks for social good problems using artificial intelligence.

The book focuses on machine learning. Divided into three parts, the first part discusses the feature selection problem. The second part then describes the application of machine learning in the classification problem, while the third part presents an overview of real-world applications of swarm-based optimization algorithms. The concept of machine learning (ML) is not new in the field of computing. However, due to the ever-changing nature of requirements in today’s world it has emerged in the form of completely new avatars. Now everyone is talking about ML-based solution strategies for a given problem set. The book includes research articles and expository papers on the theory and algorithms of machine learning and bio-inspiring optimization, as well as papers on numerical experiments and real-world applications.