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Disruptive Technologies for Big Data and Cloud Applications: Proceedings of ICBD

Description: Disruptive Technologies for Big Data and Cloud Applications by J. Dinesh Peter, Steven Lawrence Fernandes, Amir H. Alavi Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book provides a written record of the synergy that already exists among the research communities and represents a solid framework in the advancement of big data and cloud computing disciplines from which new interaction will result in the future. Publisher Description This book provides a written record of the synergy that already exists among the research communities and represents a solid framework in the advancement of big data and cloud computing disciplines from which new interaction will result in the future. This book is a compendium of the International Conference on Big Data and Cloud Computing (ICBDCC 2021). It includes recent advances in big data analytics, cloud computing, the Internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. This book primarily focuses on the application of knowledge that promotes ideas for solving the problems of society through cutting-edge technologies. The articles featured in this book provide novel ideas that contribute to the growth of world-class research and development. The contents of this book are of interest to researchers and professionals alike. Author Biography J. Dinesh Peter is currently working as an associate professor, Department of Computer Sciences Technology at Karunya University, Coimbatore. Before this, he was a full-time research scholar at the National Institute of Technology, Calicut, India, from where he received his Ph.D. in computer science and engineering. His research focus includes big data, image processing, and computer vision. He has several publications in various reputed international journals and conference papers which are widely referred to. He is a member of IEEE, CSI & IEI and has served as session chairs and delivered plenary speeches for various international conferences and workshops. Dr. Amir H. Alavi is an assistant professor in the Department of Civil and Environmental Engineering and holds a courtesy appointment in the Department of Bioengineering at the University of Pittsburgh. Dr. Alavis research interests include structural health monitoring, multifunctional structures, advanced sensors, low-power energy harvesting, and engineering informatics. His research activities involve the implementation of self-sustained and multifunctional sensing and structural systems enhanced by engineering informatics in the fields of civil infrastructure, construction, aerospace, and biomedical engineering. Dr. Alavi has authored seven books and over 200 publications in archival journals, chapters, and conference proceedings. He has received several award certificates for his journal articles. He is among the Google Scholar 200 Most Cited Authors in Civil Engineering, Web of Science ESIs World Top 1% Scientific Minds in 2018, and the Stanford University list of Top 1% Scientists in the World 2020. Steven Fernandes is an assistant professor in the Department of Computer Science at Karunya University, Coimbatore. After earning his Ph.D. in Electronics and Communication Engineering at Karunya Institute of Technology and Science and his Masters in Microelectronics at Manipal Institute of Technology, he began his postdoctoral research at the University of Alabama, Birmingham. There, he worked on NIH-funded projects. He also conducted postdoctoral research at the University of Central Florida. This research included working on DARPA, NSF, and RBC-funded projects. His publications include research articles in highly selective artificial intelligence venues. Dr. Fernandess current area of research is focused on using artificial intelligence techniques to extract useful patterns from big data. This includes robust computer vision applications using deep learning and computer-aided diagnosis using medical image processing. Details ISBN 9811921768 ISBN-13 9789811921766 Title Disruptive Technologies for Big Data and Cloud Applications Author J. Dinesh Peter, Steven Lawrence Fernandes, Amir H. Alavi Format Hardcover Year 2022 Pages 907 Edition 1st Publisher Springer Verlag, Singapore GE_Item_ID:151383704; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. 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Price: 244.13 USD

Location: Fairfield, Ohio

End Time: 2025-01-29T03:22:52.000Z

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Disruptive Technologies for Big Data and Cloud Applications: Proceedings of ICBD

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Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9789811921766

Book Title: Disruptive Technologies for Big Data and Cloud Applications

Number of Pages: Xvi, 907 Pages

Publication Name: Disruptive Technologies for Big Data and Cloud Applications : Proceedings of Icbdcc 2021

Language: English

Publisher: Springer

Publication Year: 2022

Subject: Engineering (General), Intelligence (Ai) & Semantics, Telecommunications, Databases / General

Type: Textbook

Item Weight: 54.5 Oz

Subject Area: Computers, Technology & Engineering

Item Length: 9.3 in

Author: Steven Lawrence Fernandes

Series: Lecture Notes in Electrical Engineering Ser.

Item Width: 6.1 in

Format: Hardcover

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