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System Design for Epidemics Using Machine Learning and Deep Learning by G.R. Kan

Description: System Design for Epidemics Using Machine Learning and Deep Learning by G.R. Kanagachidambaresan, Dinesh Bhatia, Dhilip Kumar, Animesh Mishra Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Publisher Description This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time. Author Biography Dr. G. R. Kanagachidambaresan received his B.E degree in Electrical and Electronics Engineering from Anna University in 2010 and M.E. Pervasive Computing Technologies in Anna University in 2012. He has completed his Ph.D. in Anna University Chennai in 2017. He is currently an Associate Professor, Department of CSE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology. He is also working as Visiting professor in Department of Institute of Intelligent Systems, University of Johannesburg, South Africa. His main research interest includes Internet of Things and expert systems design . He has published several reputed articles and undertaken several consultancy activities for leading MNC companies. He has also guest edited several special issue volumes and books in SPRINGER and serving as editorial review board members for peer reviewed journals. He is presently working on several Govt sponsored research projects like ISRO, DBT and DST. He is an ASEM-DUO fellowship,He has successfully edited several books in EAI springer. He is presently Editor in chief for Next Generation Computer and Communication Engineering series Wiley.Dr. Dinesh Bhatia pursued his PhD in Biomechanics and Rehabilitation Engineering from MNNIT, Allahabad, India in 2010 with Bachelors (2002) and Masters degree (2004) in Biomedical Engineering from Mumbai University. He completed his MBA (Dual Specialization) from IMT Ghaziabad in 2007. He is currently working as Associate Professor in the Department of Biomedical Engineering, North Eastern Hill University (NEHU), Shillong, Meghalaya, India He is the recipient of the "Young Scientist Award (BOYSCAST 2011-12)" by Government of India to pursue research in osteoarthritis (OA) for one year at Adaptive Neural Systems Laboratory, Biomedical Engineering Department, Florida International University, Miami, Florida, USA where he was leading a multidisciplinary team of researchers. He is also the recipient of "INAE fellowshipaward" in 2011 by Indian National Academy of Engineering. He was selected as one of the twelve young Biomedical scientists by the Indian Council of Medical Research (ICMR), Govt. of India to pursue research fellowship (2014-15) in the field of sensory prosthetics at University of Glasgow, Scotland, UK. He has attended Biomechanics and Human Gait training at Munich, Germany in March, 2017 and training of use of Neuro-diagnostics equipment(s) at Ivanovo, Russia in September, 2017. He delivered an Invited Talk on Gait and Osteoarthritis in Kaula Lampur, Malaysia in August, 2018. He has several research papers in reputed journals, conference, seminars and symposia with teaching and research experience of more than seventeen (17) years. He is invited panel member of several professional bodies, editorial boards, committees, societies and forums. He has worked on various funded projects on physically challenged, disabled and paralyzed persons and few projects are still on-going. He has published 09 books and 21 books chapters till date and supervised several UG, PG and doctoral students. His research focuses on understanding muscle mechanics, joint kinematics and dynamics involved in performing locomotion and routine tasks and undermining it effects during an injury or disease. His areas of interest are medical instrumentation, biomechanics and rehabilitation engineering, medical informatics, signal and image processing, marketing and international business.Dr. V. Dhilip Kumar, He was awarded PhD at North Eastern Hill University (A Central University of INDIA) in 2017. Presently, he is working as an associate professor in the Department of computer science and engineering at Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai. He has more than 10 + years experience of teaching as well as research. He did his B.Tech Information Technology and M.E. Computer science engineering under Anna University, Chennai. He has published various international journals and international conferences in the field of vehicular communication and Machine Learning. He is an editorial board member and reviewer of various international journals and conferences in reputed publishers like Springer, IEEE, Elsevier, Wiley etc. His area of interest is Vehicular communication, Soft Computing techniques, Internet of things, Machine learning etc. He is presently working on projects related to artificial intelligence for healthcare and automations.Dr. Animesh Mishra, Professor, Department of Cardiology, NEIGRIHMS (An autonomous institute, Under ministry of Health & Family Welfare, Government of India). Dr. Animesh Mishra has completed his D.M in Cardiology in MAMC Delhi University. He has completed his MD in internal Medicine from Institute of Medical Sciences, BHU Varanasi. He is having more than 25 years of Professional experience. He has published in several reputed journals. Details ISBN 3031197542 ISBN-13 9783031197543 Title System Design for Epidemics Using Machine Learning and Deep Learning Author G.R. Kanagachidambaresan, Dinesh Bhatia, Dhilip Kumar, Animesh Mishra Format Paperback Year 2024 Pages 325 Edition 1st Publisher Springer International Publishing AG GE_Item_ID:160042522; 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. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 200.25 USD

Location: Fairfield, Ohio

End Time: 2024-11-27T10:03:34.000Z

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System Design for Epidemics Using Machine Learning and Deep Learning by G.R. Kan

Item Specifics

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: 9783031197543

Book Title: System Design for Epidemics Using Machine Learning and Deep Learn

Number of Pages: Xxii, 325 Pages

Language: English

Publication Name: System Design for Epidemics Using Machine Learning and Deep Learning

Publisher: Springer International Publishing A&G

Subject: Intelligence (Ai) & Semantics, Probability & Statistics / General, General, Telecommunications

Publication Year: 2024

Item Weight: 18.8 Oz

Type: Textbook

Item Length: 9.3 in

Subject Area: Mathematics, Computers, Technology & Engineering, Medical

Author: Dinesh Bhatia

Series: Signals and Communication Technology Ser.

Item Width: 6.1 in

Format: Trade Paperback

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