Analysis and prediction of COVID‐19 trajectory: A machine learning approach R Majhi, R Thangeda, RP Sugasi, N Kumar Journal of Public Affairs 21 (4), e2537, 2021 | 42 | 2021 |
An adaptive nonlinear approach for estimation of consumer satisfaction and loyalty in mobile phone sector of India T Rahul, R Majhi Journal of Retailing and Consumer Services 21 (4), 570-580, 2014 | 21 | 2014 |
A study of gap analysis in hospitals and the relationship between patient satisfaction and quality of service in health care services SK Francis, MK Rao, T Rahul INTERNATIONAL JOURNAL OF RESEARCH IN IT MANAGEMENT 2 (1), 39-51, 2012 | 8 | 2012 |
Estimation of customer retention for Indian mobile telecommunication sector MR Reddy, S Ganesh, T Rahul, N Mann International Journal of Business Information Systems 16 (3), 233-246, 2014 | 6 | 2014 |
Antecedents of repurchase intentions in Indian e-commerce H Syed, KF Sudhakar, T Rahul International Journal of Business Information Systems 38 (2), 219-239, 2021 | 4 | 2021 |
A review on detection of covid-19 patients using deep learning techniques B Majhi, R Thangeda, R Majhi Assessing COVID-19 and Other Pandemics and Epidemics using Computational …, 2022 | 3 | 2022 |
An empirical study of quality of health care services and patient satisfaction in private and public hospitals in Hyderabad, Andhra Pradesh KF Sudhakar, T Rahul Asian Journal of Research in Business Economics and Management 2 (2), 92-106, 2012 | 2 | 2012 |
Development and performance evaluation of PSO based single layer nonlinear ANN classifiers of Indian online shoppers R Majhi, B Panda, B Majhi, T Rahul Institute of Electrical and Electronics Engineers (IEEE) 4th International …, 2010 | 1 | 2010 |
A neural network-based predictive decision model for customer retention in the telecommunication sector R Thangeda, N Kumar, R Majhi Technological Forecasting and Social Change 202, 123250, 2024 | | 2024 |
Predicting thermophysical properties of alkanes and refrigerants using machine learning algorithms K Rathod, SC Ravula, PSC Kommireddi, R Thangeda, G Kikugawa, ... Fluid Phase Equilibria 578, 114016, 2024 | | 2024 |
Consumer behavior from the lens of Bottom of the Pyramid: literature review and future agenda K Uttam, T Rahul Management Review Quarterly, 1-31, 2023 | | 2023 |
Gaining Competitive Advantage Using Human Resource Management in Indian Construction Industry S Kumar, M Pasupathi, R Thangeda National conference on Advances in Construction Materials and Management, 3-13, 2022 | | 2022 |
Impact of Covid-19 Pandemic on The Higher Education Institutions in India: Perspectives of Faculty on Remote Teaching & Learning RD Vangapandu, R Thangeda, P Mishra International Journal on E-Learning, 401-428, 2022 | | 2022 |
Management Education, Satisfaction, and Career Growth: A Perspective of Techno-Managers V Merugu, R Thangeda Cases on Engineering Management Education in Practice, 144-162, 2021 | | 2021 |
Development and performance evaluation of nonlinear and robust adaptive models for prediction of number of customers of mobile phone service providers T Rahul, R Majhi International Journal of Business Information Systems 19 (1), 1-18, 2015 | | 2015 |
Development and Performance Evaluation of Novel Prediction Models For Retaining Mobile Phone Users T Rahul | | 2013 |
Investigation on Mobile Users’ Growth Prediction Performance in India RM T.Rahul International Journal of Multidisciplinary Research 1 (3), 99-102, 2012 | | 2012 |
Artificial Neural Network based Efficient Consumer Growth Prediction Scheme for Mobile Telecom Sector in India RM T.Rahul International Conference in Marketing,IIM Lucknow, 2012 | | 2012 |
Investigation on Identification of profitable Target Markets for Indian Online Shoppers TR R.Majhi, G.Panda International Journal of Advances in Management, Technology and Engineering …, 2012 | | 2012 |
Applications of Neural Network In Marketing Critical Review RM T.Rahul 4th international Conference on Innovation in Management Challenges and …, 2011 | | 2011 |