Biswa Ranjan Acharya – författare

Blockchain and cryptocurrency have become the most revolutionary technologies of the 21st century, potentially transforming how we conduct business, manage assets, and exchange value. The emergence of these technologies has challenged traditional systems of management and has presented new technology challenges for businesses and organizations.Blockchain and Cryptocurrency: Management Systems and Technology Challenges explores the latest developments in blockchain and cryptocurrency and how they are changing the way we manage systems and technologies. The book delves into the technical aspects of blockchain, including its underlying architecture and consensus mechanisms, and examines the various use cases for blockchain technology, such as supply chain management, digital identity, and smart contracts. It also discusses the challenges of managing and implementing blockchain and cryptocurrency systems, including regulatory compliance, security, and scalability. Looking at the impact of these technologies on various industries, such as finance, healthcare, and energy, the book examines how they are changing how businesses now operate.A comprehensive guide for professionals in engineering management, business leadership, and technology that provides a comprehensive understanding of blockchain and cryptocurrencies' potential impact on organizations.

This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim of healthcare informatics is to ensure high-quality, efficient health care, and better treatment and quality of life by efficiently analyzing abundant biomedical and healthcare data, including patient data and electronic health records (EHRs), as well as lifestyle problems. In the past, it was common to have a domain expert to develop a model for biomedical or health care applications; however, recent advances in the representation of learning algorithms (deep learning techniques) make it possible to automatically recognize the patterns and represent the given data for the development of such model.This book allows new researchers and practitioners working in the field to quickly understand the best-performing methods. It also enables them to compare different approaches and carry forward their research in an important area that has a direct impact on improving the human life and health.It is intended for researchers, academics, industry professionals, and those at technical institutes and R&D organizations, as well as students working in the fields of machine learning, deep learning, biomedical engineering, health informatics, and related fields.