1st Edition
Artificial Intelligence and Machine Learning for Business
1. Generic Framework for AI-Based E-Learning for Employee Training and Quality Learning Experience
P. Bhanumathi, R. Jeevitha and B. Sathish Babu
2. AI-Based Stock Market Prediction During War Period
S. R. Reeja
3. Traffic Road Sign Detection and Recognition Approach Using OCR-Based on Efficient Det and ROI Extraction
S. Sumathy
4. Recent Trends and Future Prospects of AI and Machine Learning in Decision Making
A. Muthusamy, S. Maheswari and S. Anitha
5. Socio-economic Impact Analysis of the Russo-Ukrainian War Based on Tweets Using Opinion Mining
Desai Karanam Sreekantha, R. S. Kamath and R. K. Kamat
6. Robotic Process Automation in Business Management Using Machine Learning Algorithms
P. Gayathiri
7. Contemporary Inclinations and Forthcoming Solicitations of AI and ML in Business Transformation
Priyanka Sharma and Ajay Bhardwaj
8. Climate Smart Agriculture Analysis of Soil Properties and Weather Parameter Using Artificial Intelligence and Machine Learning
Ramdas Gore, Minakshi Sonawane and Bharti Gawali
9. A Novel Approach to Monitor Garbage System by Using LoRa Technology
P. Saleem Akram and M. Lakshmana Kumar
10. Applications of AI-Based Decision Support System in Business Management
K. Sampath Kini, B. H. Karthik Pai and R. P. Puneeth
11. Current Trends and Future of AI in Sales and Marketing
Sunanda Vincent Jaiwant and G. S. Sai Kruthi
12. Predicting Precious Metal Markets Using Custom Deep-Learning NARX Network: A Portfolio Application
Stephanie A. Tjendra, Filbert H. Juwono, Dhanuskodi Rengasamy, Jobrun Nandong and Andrew J. Brennan
13. Leveraging Banking Customer Experience Through Artificial Intelligence: An Application of Structural Equation Modeling
Ankita Chaturvedi, Shaifali Mathur and Ashish Porwal
14. Recommender Systems Using AI and ML: Future of Sales and Marketing
Ksh. Krishna B. Singha and Mukta Sharma
15. Trends and Future of AI in Sales and Marketing
Meenakshi Sharma, Hinika Shail, A. V. Senthil Kumar and Pramod Painuly
16. Predicting People’s Personalities from Their CVs, Using Machine Learning and Deep Learning
Umrah Dar and Mahuya Deb
Biography
Namita Mishra, PhD, Professor at the I.T.S. School of Management, is a distinguished professional with an in-depth association with education and research projects. Her teaching experience is in finance and accounting, with over 18 years of expertise. Academically she has MCOM, MBA, and PhD degrees from reputed universities. She is a certified financial analyst from IIM Kashipur, India. She has authored three books and two edited volumes with national and international publishers. Professor Mishra has published over 35 research papers in national and international conference proceedings and has 17 patents to her credit. She received the Dr. S. Radhakrishnan Memorial Award (2009) from the Healthy Universe Foundation for her contributions in education. She is a life member of various academic bodies.
A. V. Senthil Kumar, DSc, is working as a Professor and Director of the PG and Research Department of Computer Applications at Hindusthan College of Arts and Science in Coimbatore, Tamil Nadu, India. To date, he has five years of industrial experience and 27 years of teaching experience. He has published 46 book chapters, 223 papers in international and national journals, and 64 papers in international and national conferences, and he has edited 12 books and two textbooks. He is an Associate Editor of the journal IEEE Access. He is also an editor-in-chief for many journals and a key member for India for the Machine Intelligence Research Lab (MIR Labs). He is an editorial board member and reviewer for various international journals. He is also a committee member for various international conferences. He has guided 16 PhD scholars and is currently guiding four PhD scholars. He received his Doctor of Science (DSc) in Computer Science.
