Søgning på underkategorier- og emner:
This book is a comprehensive and analytical source on entrepreneurship and big data that prospective entrepreneurs must know before embarking upon an entrepreneurial journey in this present age of digital transformation.
The focus of this book is data analytics for COVID-19 which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and... Læs mere
This handbook includes contributions from around the globe on recent advances and findings in the domain of Internet of Things... Læs mere
Internet of Things has evolved as an integral part of our lives from smart appliances, wearable devices, connected cars, healthcare... Læs mere
This book discusses about data science overview, scientific methods, data processing, extraction of meaningful information from data, and insight for developing the... Læs mere
Graph Theory is a branch of discrete mathematics. It has many applications to many different areas of Science and Engineering. This book provides the most up-to-date research findings and applications in Graph Theory.
This book presents a detailed exploration of adaption and implementation of blockchain technologies in real-world business applications. Blockchain is gaining momentum in all sectors. This book includes all aspects of blockchain with a complete 360-degree view spectrum.
The internet has gone from an internet of people, to an Internet of Things. This has brought forth strong levels of complexity in handling interoperability that involves the integrating of WSNs into IoT.
This book will focus on RFID (Radio Frequency Identification), IoT (Internet of Things), and WSN (Wireless Sensor Network). It... Læs mere
Smart Computational Intelligence in Biomedical and Health Informatics presents state-of-art innovations, research, design and... Læs mere
This book is an attempt to establish in the readers the importance of creating interoperable data stores and writing rules for handling this data. It also covers extracts from a few project dissertations and a research funded project that the author had supervised.
Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights... Læs mere