Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications

Author:   K. G. Srinivasa ,  G. M. Siddesh ,  S. R. Manisekhar
Publisher:   Springer Verlag, Singapore
Edition:   2020 ed.
ISBN:  

9789811524479


Pages:   317
Publication Date:   31 January 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications


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Author:   K. G. Srinivasa ,  G. M. Siddesh ,  S. R. Manisekhar
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   2020 ed.
Weight:   0.510kg
ISBN:  

9789811524479


ISBN 10:   9811524475
Pages:   317
Publication Date:   31 January 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Siddesh G. M. is currently working as an Associate Professor at the Department of Information Science & Engineering, Ramaiah Institute of Technology, Bangalore. He received Bachelors and Masters Degrees in Computer Science and Engineering from the Visvesvaraya Technological University in 2003 and 2005, respectively, and his Ph.D. in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad, in 2014. He is a member of IEEE, ISTE, and IETE. He was the recipient of Seed Money to Young Scientist for Research (SMYSR) for 2014-15 from the Government of Karnataka’s Vision Group on Science and Technology (VGST). He has published numerous research papers in international journals and conferences. His research interests include distributed computing, grid/cloud computing, and IoT.    S. R. Mani Sekhar received his M.Tech. degree from Bharathidasan University, Tiruchirappalli, and B.E. degree from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal. He is currently an Assistant Professor at the Department of Information Science & Engineering, Ramaiah Institute of Technology, Bangalore. He is a member of ISTE. He has published a numerous research papers and book chapters. His research interests include data science, data analytics, and software engineering & bioinformatics.  Srinivasa K G was awarded a Ph.D. in Computer Science and Engineering from Bangalore University in 2007. He has received various awards, including the All India Council for Technical Education – Career Award for Young Teachers; Indian Society of Technical Education – ISGITS National Award for Best Research Work Done by Young Teachers; Institution of Engineers (India) – IEI Young Engineer Award in Computer Engineering; the ISTE’s Rajarambapu Patil National Award for Promising Engineering Teachers in 2012; and a Visiting Scientist Fellowship Award from IMS Singapore. He has published more than 100 research papers in international journalsand conferences, and has authored three textbooks: File Structures using C++, Soft Computing for Data Mining Applications and Guide to High Performance Computing. He has also edited research books in the area of cyber-physical systems and energy-aware computing. He has been awarded a BOYSCAST Fellowship by the DST to conduct collaborative research with the Clouds Laboratory at the University of Melbourne. He is the Principal Investigator for several AICTE, UGC, DRDO, and DST funded projects. He is a senior member of IEEE and ACM. His research areas include data mining, machine learning, and cloud computing.  

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