Advanced Computational Techniques for Sustainable Computing
Megha Rathi
Sold by AHA-BUCH GmbH, Einbeck, Germany
AbeBooks Seller since 14 August 2006
New - Soft cover
Condition: New
Ships from Germany to U.S.A.
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Add to basketSold by AHA-BUCH GmbH, Einbeck, Germany
AbeBooks Seller since 14 August 2006
Condition: New
Quantity: 1 available
Add to basketnach der Bestellung gedruckt Neuware - Printed after ordering - Advanced Computational Techniques for Sustainable Computing is considered multi-disciplinary field encompassing advanced computational techniques across several domain, including, Computer Science, Statistical Computation and Electronics Engineering. The core idea of sustainable computing is to deploy algorithms, models, policies and protocols to improve energy efficiency and management of resources, enhancing ecological balance, biological sustenance and other services on societal contexts.The book offers a comprehensive coverage of some of the most essential topics:It provides aninsight on building smart sustainable solutions.Includes details of applying mining, learning, IOT and sensor-based techniques for sustainable computing.Entails data extraction from various sources followed with pre-processing of data, and how to make effective use of extracted data for application-based research.Involves practical usage of data analytic language, including R, Python, etc. for improving sustainable services offered by multi-disciplinary domains.Encompasses comparison and analysis of recent technologies and trends.Includes development of smart models for information gain and effective decision making with visualization.The readers would get acquainted with the utilization of massive data sets for intelligent mining and processing. It includes the integration of data mining techniques for effective decision-making in the social, economic, and global environmental domains to achieve sustainability. The implementation of computational frameworks can be accomplished using open-source software for the building of resource-efficient models. The content of the book demonstrates the usage of data science and the internet of things for the advent of smart and realistic solutions for attaining sustainability.
Seller Inventory # 9780367495282
Advanced Computational Techniques for Sustainable Computing is considered multi-disciplinary field encompassing advanced computational techniques across several domain, including, Computer Science, Statistical Computation and Electronics Engineering. The core idea of sustainable computing is to deploy algorithms, models, policies and protocols to improve energy efficiency and management of resources, enhancing ecological balance, biological sustenance and other services on societal contexts.
The book offers a comprehensive coverage of some of the most essential topics:
The readers would get acquainted with the utilization of massive data sets for intelligent mining and processing. It includes the integration of data mining techniques for effective decision-making in the social, economic, and global environmental domains to achieve sustainability. The implementation of computational frameworks can be accomplished using open-source software for the building of resource-efficient models. The content of the book demonstrates the usage of data science and the internet of things for the advent of smart and realistic solutions for attaining sustainability.
Dr. Megha Rathi has obtained Ph.D. in Computer Science from Banasthali University and is presently working as an Assistant Professor (Senior Grade) in the Department of Computer Science, Jaypee Institute of Information Technology (JIIT), Noida, Sector 62, Uttar Pradesh, India. She has ten years of teaching experience and worked on a research project at the National Informatics Centre (NIC), Delhi. She has experience in software development and worked as a Project Associate at the Indian Institute of Technology (IIT), Delhi. She has organized several special sessions at international conferences and also delivered invited talk. Her research areas include sustainable computing, data mining, data science, health analytics, and machine learning.
Dr. Adwitiya Sinha
has completed Ph.D. from the School of Computer & Systems Science (SCSS), Jawaharlal Nehru University (JNU) New Delhi, India. She was also awarded Senior Research Fellowship (SRF) from the Council of Scientific & Industrial Research (CSIR), New Delhi. She is presently working as Assistant Professor (Senior Grade) in the Department of Computer Science, Jaypee Institute of Information Technology (JIIT), Noida, Sector 62, Uttar Pradesh, India. She has been organizing & conducting special sessions in several international conferences as chairperson and session chair for invited sessions. She has also delivered lectures series in The Consortium for Educational Communication (CEC), University Grants Commission (UGC) on sensor networks and social media sciences. She has been promoted to IEEE Senior Member in 2019 by The Institute of Electrical and Electronics Engineers (IEEE), New York, USA. Her major research interest lies in Sustainable Computing, Social Networking, Large-scale Graph Algorithms and Wireless Sensor Networks."About this title" may belong to another edition of this title.
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