Green Computing and Its Applications


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Series: Computer Science, Technology and Applications
BISAC: COM037000; COM067000

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 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.

Table of Contents


Chapter 1. Embedded Internet of Things (IoT): A New Industrial Revolution
(Md Rashid Mahmood, Harpreet Kaur, Manpreet Kaur, R.K Singh, S. P. Yadav – Guru Nanak Institutions Technical Campus, Hyderabad, India, et al.)

Chapter 2. Evolution of Green Communication System
(Pankaj Shankar Shrivastava, Utsav Kumar Malviya – Department of Electronics and Communication Engineering, School of Engineering and Technology, G.G.V (C.G), et al.)

Chapter 3. Big Data Analytics–based Green Application in Text Mining and Literary World
(Venkatesh Gauri Shankar, Prakash Chandra Sharma, Deevesh Chaudhary, Manoj Kumar Chande, Bali Devi – School of Computing and Information Technology, Manipal University Jaipur, India, et al.)

Chapter 4. Deep Learning–Based Solution for Sustainable Agriculture
(Vijay Prakash Sharma, Prakash Chandra Sharma, Sunil Kumar, Narendra Singh Yadav, Shikha Sharma, Deevesh Choudhary – School of Computing & Information Technology, Manipal University, Jaipur, India, et al.)

Chapter 5. Analyzing Factors Impacting the Adoption of Green Computing in Indian Universities
(Manish Mohan Baral and Amitabh Verma – Department of Management, Birla Institute of Technology Mesra, Ranchi, Jharkhand, India)

Chapter 6. Latest Advancement in Automotive Embedded System Using IoT Computerization
(Jaspal Bagga, Latika Pinjarkar, Sumit Srivastava, Omprakash Dewangan, Rajesh Tiwari – Shri Shankaracharya Technical Campus SSGI Bhilai, India, et al.)

Chapter 7. Integration of Smart IoT Devices to Enhance Security and Performance of Smart Grids and Smart Energy Systems
(Dolly Thankachan – Department of Electrical and Electronics, Oriental University, Indore, M.P.)

Chapter 8. Design of an Adaptive and Flexible Green Computing Architecture For Multi-Domain Social Applications via Artificial Intelligence
(Kundan Meshram – Department of Civil Eng., School of Studies in Engineering and Technology in Engineering and Technology, Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur)

Chapter 9. Impact on Organizational Performance of Indian SMEs After the Adoption of Green Computing
(Subhodeep Mukherjee, Venkataiah Chittipaka, Manish Mohan Baral, Sharad Chandra Srivastava – GITAM Institute of Management, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India, et al.)

Chapter 10. High-Performance Computing and Fault Tolerance Technique Implementation in Cloud Computing
(Raj Kumar Patra, M Varaprasad Rao, Kavitarani Balmuri, Srinivas Konda, Manoj Kumar Chande – Department of Computer Science and Engineering, CMR Technical Campus, Kandlakoya, Hyderabad, India, et al.)

Chapter 11. An Analysis of Internet of Things (IoT)–Based Home Appliances
(Abhishek Kumar Vishwakarma, Birendra Goswami – Assistant Professor, Yogoda Satsanga Mahavidyalaya, Ranchi, Jharkhand, India, et al.)

Chapter 12. Internet of Things (IoT) in Agriculture
(Dipti Chauhan, Pritika Bahad, Rupali Pathak – Computer Science & Engineering, Prestige Institute of Engineering Management & Research, Indore, Madhya Pradesh, India, et al.)


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