Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition. Cet article n’est pas disponible.Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition

Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the applications of these advancing technologies is lacking. Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities explores the theoretical and practical aspects of modern advancements in digital image analysis and object detection as well as its applications within healthcare, security, and engineering fields. Featuring coverage on a broad range of topics such as disease detection, adaptive learning, and automated image segmentation, this book is ideally designed for engineers, physicians, researchers, academicians, practitioners, scientists, industry professionals, scholars, and students seeking research on the current developments in object recognition using artificial intelligence.

Shouvik Chakraborty is a Lecturer in Computer Science & Technology and In-charge, Robotics and Innovation Laboratory at M.B.C. Institute of Engineering & Technology, West Bengal, India. He is pursuing Ph.D. in Computer Science & Engineering from the University of Kalyani, India. He completed his M.Tech in Computer Science and Engineering from the University of Kalyani, India in 2016. He completed his B.Tech in Computer Science and Engineering from Maulana Abul Kalam Azad University of Technology (Formerly known as West Bengal University of Technology), India in 2014. He received AICTE National Fellowship during M.Tech. and DST INSPIRE Fellowship during Ph.D. He secured First class First position among the university in M. Tech. He is an associate member of IRED (UACEE), USA. He is also a member of IACSIT, Singapore; IAENG, Hong Kong; ICSES; IEDRC, Hong Kong; MIR Labs, USA. His research interests include Soft and Evolutionary Computing, Digital Image Processing, Bio-medical Image Analysis, Patteren Recognition, Machine Learning and Optimization Techniques. He is the author of several book chapters and journal articles. He presented various research works in many international and national conferences.

Kalyani Mali received B. Tech and M. Tech Degree in 1987 and 1989 from university of Calcutta, India and Ph.D Degree in Computer Science and Engineering from Jadavpur University, Kolkata, India in 2005. She joined faculty of Deptt. of Computer Science and and Engineering, University of Kalyani, India in 1992. She currently holds the rank of Professor. Her current research interests include Pattern Recognition, Image Processing, Data Mining and Soft Computing. She has published 50 journal papers.