Kishor Datta Gupta – författare

This book deals with the recent advancements in computer vision techniques such as active learning, few-shot learning, zero shot learning, explainable and interpretable ML, online learning, AutoML etc. and their applications in medical domain. Moreover, the key challenges which affect the design, development, and performance of medical imaging systems are addressed. In addition, the state-of-the-art medical imaging methodologies for efficient, interpretable, explainable, and practical implementation of computer imaging techniques are discussed. At present, there are no textbook resources that address the medical imaging technologies. There are ongoing and novel research outcomes which would be useful for the development of novel medical imaging technologies/processes/equipment which can improve the current state of the art.The book particularly focuses on the use of data driven new technologies on medical imaging vision such as Active learning, Online learning, few shot learning, AutoML, segmentation etc.

This book deals with the recent advancements in computer vision techniques such as active learning, few-shot learning, zero shot learning, explainable and interpretable ML, online learning, AutoML etc. and their applications in medical domain. Moreover, the key challenges which affect the design, development, and performance of medical imaging systems are addressed. In addition, the state-of-the-art medical imaging methodologies for efficient, interpretable, explainable, and practical implementation of computer imaging techniques are discussed. At present, there are no textbook resources that address the medical imaging technologies. There are ongoing and novel research outcomes which would be useful for the development of novel medical imaging technologies/processes/equipment which can improve the current state of the art.The book particularly focuses on the use of data driven new technologies on medical imaging vision such as Active learning, Online learning, few shot learning, AutoML, segmentation etc.

This book offers an in-depth exploration of industrial control systems (ICS), examining their evolution, architecture, and security challenges. ICS plays a pivotal role in automating industrial operations, from manufacturing to utilities, and its components range from sensors and controllers to communication protocols. This book provides a comprehensive analysis of each aspect of ICS, including Supervisory Control and Data Acquisition (SCADA) systems, industrial automation, and field devices. The text dives deep into the importance of securing these systems to ensure operational efficiency, data integrity, and safety and includes additional code links.Through detailed chapters, readers will gain insights into the latest trends, including the integration of IoT technologies, network communication protocols and attack vectors that threaten industrial systems. This book also focuses on practical security measures, such as intrusion detection, static defense strategies, and cyber resilience techniques, which are essential for protecting critical infrastructure. Case studies are provided to illustrate real-world applications and solutions that enhance the security and performance of ICS environments.This book targets Industrial engineers, cybersecurity professionals, system architects, and researchers specializing in ICS and Supervisory Control Data Acquisition (SCADA) systems.  Graduate students in engineering and computer science, IT professionals working in critical infrastructure sectors, and industrial automation consultants will also find this book useful.