Nova Science Publ., 2021. — 386 p. — (Computer Science, Technology and Applications). — ISBN: 978-1-68507-363-3.
Green computing is the emerging practice of using computing and information technology resources more efficiently while maintaining or improving overall performance. The most common technologies include classification and clustering which are very much in use to predict data. These algorithms also pave the way for overcoming the challenges we face in daily life. Huge data sets are classified and clustered to find out the accurate result. The accuracy and error rate are also calculated for regression, classification, and clustering to find out the actual result. The applications include fraud detection, image processing, medical diagnosis, predicting the weather, etc. Going further, the applications have been increasing in different areas and fields. This book is intended for industrial and academic researchers, scientists, and engineers in information technology, green computing, Data Science, and machine and Deep Learning.
Embedded Internet of Things (IoT) a New Industrial Revolution
Evolution of Green Communication System
Big Data Analytics Based Green Application in Text Mining and Literary World
Deep Learning-Based Solution for Sustainable Agriculture
Analyzing Factors Impacting the Adoption of Green Computing in Indian Universities
Latest Advancement in Automotive Embedded System Using IoT Computerization
Integration of Smart-IoT Devices to Enhance Security and Performance of Smart Grids and Smart Energy Systems
Design of an Adaptive and Flexible Green Computing Architecture for Multi-Domain Social Applications via Artificial Intelligence
Impact on Organizational Performance of Indian SMEs After the Adoption of Green Computing
High-Performance Computing and Fault Tolerance Technique Implementation in
Cloud Computing
An Analysis of Internet of Things (IoT)–Based Home Appliances
Internet of Things (IoT) in Agriculture