Machine Learning Algorithms for Intelligent Data Analytics

Machine Learning Algorithms for Intelligent Data Analytics

Edited by Dr.S.Balamurugan, CEng. Radhey Shyam Meena Dr.Ramasamy V

Copyright : 2022 | Status : Published

ISBN Number :978-93-92104-07-7

DOI : 10.36647/MLAIDA/2022.12.01.Book1

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Editor Details

Dr.S.Balamurugan Ph.D., SMIEEE,ACM Distinguished Speaker is the Director of Albert Einstein Engineering and Research Labs. India. He received his B.Tech., Degree from PSG College of Technology, Coimbatore, India, M.Tech., and Ph.D. Degrees from Anna University, India. He has published more than 60 books, 300 articles in international/national journals/conferences, and 200 patents. He is also the Vice-Chairman of the Renewable Energy Society of India (RESI). He serves as a research consultant to many companies, startups, SMEs, and MSMEs. He is the series editor of several book series and serves in various editorial capacities of several international journals. He has received numerous awards for research at national and international Levels.

A few of them include:

  • Rashtriya Vidhya Gourav Gold Medal Award and The Best Educationalist Award from Hon.Justice O.P Saxena, Supreme Court, New Delhi, India.
  • Three Lifetime Achievement Awards
  • Dr.A.P.J.Abdul Kalam Sadhbhavana Award from Hon. Balmiki Prasad Singh, Former Governor of Sikkim. India
  • Jewel of India Award from Mr. Gurpreet Singh, General Secretary, India
  • Star of Asia Award from Mr. Korn Debbaransi, Former Deputy Prime Minister, of Thailand
  • Pride of Asia Research Excellence Award from Hon. Anant. V.Sheth, Deputy Speaker- Goa Legislative Assembly, India
  • CSI Young IT Professional Award
  • National CSI Youth Award

Dr. Ramasamy Vreceived his B.E Degree from Anna University Chennai, in 2006 an M.E Software Engineering from Anna University, Tiruchirappalli in 2009, and a Doctor of Philosophy in Computer Science, from Anna University Chennai, in 2021. He is currently working as an Associate Professor in the Department of CSE at Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology (Deemed to be University), Chennai, Tamilnadu, India. His area of interest includes Mobile Cloud Computing, IoT, Data Science, Artificial Intelligence, and Machine Learning. He is the author of several scholarly research papers in national and international journals and conferences. He is the Editor in Chief for Technoarete Transactions on Advances in Computer Applications in Technology (TTACAT) journal. He is the Book Editor of a few books for Technoarete publisher. He is the Guest Editor for Innovations in Future IoT Communications in MMTC Communications - Frontiers (IEEE COMSOC). He is the Evaluation Committee Member for IFERP Innovative Project Seed Funding Scheme. He is the organizing Chair of the International Conference on Advanced Computing and Intelligent Engineering ICACIE and organizing committee member of Advanced Communications and Machine Intelligence - MICA.


Radhey Shyam Meena- Mr Shyam is a power sector professional with over 8 years of techno-commercial experience. He is working in the Ministry of New & Renewable Energy (MNRE), New Delhi. He is also enrolled in the Indian Institute of Technology, Kanpur for eMasters Degree in Power Sector Regulation, Economics, and Management. Apart from this, he has completed his B.Tech. & M.Tech. from Rajasthan Technical University, Kota. He is also an inventor/co-inventor of 25 National/International patents. Apart from these he has co-authored 6 books and have over 51 peer-reviewed journal/conference publications. He is actively engaged with a number of technical institutions like IEEE, IET CIGRE, RESI, SESI IAENG, IEI.

Table of Contents
Machine Learning Algorithms for Herbs Recognition Based on Physical Properties

Dr. Nur Fadzilah Mohamad Radzi 1 ,Assoc. Prof. Dr. Azura Che Soh2 Assoc. Prof. Dr. Asnor Juraiza Ishak3 Assoc. Prof. Ir. Dr. Mohd Khair Hassan4

doi.org/10.36647/MLAIDA/2022.12.B1.Ch004

Forecasting COVID-19 from Lung X-ray Images

K. Sujatha 1, N.P.G. Bhavani 2, V. Srividhya 3, T. Kalpalatha 4, B. Latha 5, U. Jayalatsumi 6, T.Kavitha 7, A. Ganesan 8 A. Kalaivani 9, Su-Qun Cao 10

doi.org/10.36647/MLAIDA/2022.12.B1.Ch005

Twitter Sentiment analysis of Covid-19 vaccination using Deep Learning

Varsha Naika 1, Dr. Rajeswari Kannanb 2, Snehalraj Chugha 3, Ahbaz Memona 4, Himanshu Chaudharia 5

doi.org/10.36647/MLAIDA/2022.12.B1.Ch006

Knowledge Discovery and Intelligent Data Mining

Sasi Kumar M 1*, Sasi Kumar V 2, Samyukthaa LK 3, Gokul Karthik S 4, Abirami A 5, Lakshmanaprakash S 6

doi.org/10.36647/MLAIDA/2022.12.B1.Ch012

Data Visualization Techniques

Sasi Kumar V 1, Sasi Kumar M 2, Samyukthaa R 3, Vinothraja R 4, Abirami A 5, Lakshmanaprakash S 6

doi.org/10.36647/MLAIDA/2022.12.B1.Ch013

Data Analytics for Disease Prediction

S. Menaga 1*, Dr.G.Kalaiarasi 2, Dr. R.Vanithamani 3, M.Nivetha 4

doi.org/10.36647/MLAIDA/2022.12.B1.Ch014