Employee motivation from performance appraisal implications: Test of a theory in the software industry in West Bengal (India) MK Sanyal, SB Biswas Procedia Economics and Finance 11, 182-196, 2014 | 98 | 2014 |
Information Systems Design and Intelligent Applications Proceedings of Second International Conference INDIA 2015, Volume JK Mandal, SC Satapathy, MK Sanyal, PP Sarkar, A Mukhopadhyay Proceedings of Second International Conference INDIA 1, 1, 2015 | 73 | 2015 |
Analysis of temporal pattern, causal interaction and predictive modeling of financial markets using nonlinear dynamics, econometric models and machine learning algorithms I Ghosh, RK Jana, MK Sanyal Applied Soft Computing 82, 105553, 2019 | 52 | 2019 |
Co-movement and dynamic correlation of financial and energy markets: An integrated framework of nonlinear dynamics, wavelet analysis and DCC-GARCH I Ghosh, MK Sanyal, RK Jana Computational Economics 57 (2), 503-527, 2021 | 50 | 2021 |
Introspecting predictability of market fear in Indian context during COVID-19 pandemic: An integrated approach of applied predictive modelling and explainable AI I Ghosh, MK Sanyal International Journal of Information Management Data Insights 1 (2), 100039, 2021 | 45 | 2021 |
A granular deep learning approach for predicting energy consumption RK Jana, I Ghosh, MK Sanyal Applied Soft Computing 89, 106091, 2020 | 43 | 2020 |
Artificial neural network approaches for disaster management: A literature review S Guha, RK Jana, MK Sanyal International Journal of Disaster Risk Reduction 81, 103276, 2022 | 38 | 2022 |
Premature rupture of membranes an assessment from a rural medical college of West Bengal MK Sanyal, TN Mukherjee J Obstet Gynaecol India 40 (5), 623-8, 1990 | 36 | 1990 |
Fractal inspection and machine learning-based predictive modelling framework for financial markets I Ghosh, MK Sanyal, RK Jana Arabian Journal for Science and Engineering 43 (8), 4273-4287, 2018 | 28 | 2018 |
Information Systems Design and Intelligent Applications manas kumar sanyal Springer 340, 2015 | 26* | 2015 |
Machine intelligent diagnostic system (MIDs): an instance of medical diagnosis of tuberculosis S Das, MK Sanyal Neural Computing and Applications 32 (19), 15585-15595, 2020 | 24 | 2020 |
Sequential liquid–liquid extraction graphite furnace atomic absorption spectrometric (GFAAS) and spectrophotometric determination of zirconium (IV) with calixarene hydroxamic acid YK Agrawal, M Sanyal, P Shrivastav, SK Menon Talanta 46 (5), 1041-1049, 1998 | 20 | 1998 |
AI-based sales forecasting model for digital marketing B Biswas, MK Sanyal, T Mukherjee International Journal of E-Business Research (IJEBR) 19 (1), 1-14, 2023 | 16 | 2023 |
AISLDr: artificial intelligent self-learning doctor S Das, M Sanyal, D Datta, A Biswas Intelligent Engineering Informatics: Proceedings of the 6th International …, 2018 | 15 | 2018 |
Fine needle aspiration cytology of ovarian neoplasms M Roy, A Bhattacharyya, A Roy, S Sanyal, MK Sanyal, S Dasgupta, ... Journal of Cytology 20 (1), 31-35, 2003 | 15 | 2003 |
Artificial intelligent reliable doctor (AIRDr.): Prospect of disease prediction using reliability S Das, MK Sanyal, D Datta Intelligent computing paradigm: recent trends, 21-42, 2020 | 14 | 2020 |
Hydromagnetic slip flow with heat transfer in an inclined channel DC Sanyal, MK Sanyal Czechoslovak Journal of Physics B 39 (5), 529-536, 1989 | 14 | 1989 |
Clinico-pathological study of endometrium: a review of three thousand nine hundred twenty cases in different gynaecological abnormalities MK Sanyal, S Sanyal, KK Bhattacherjee, NN Roy Choudhuri J Obstet Gynaecol India 31 (5), 816-21, 1981 | 14 | 1981 |
Scaling of domain cascades in stripe and skyrmion phases A Singh, JCT Lee, KE Avila, Y Chen, SA Montoya, EE Fullerton, P Fischer, ... Nature communications 10 (1), 1988, 2019 | 13 | 2019 |
Application of AI and soft computing in healthcare: a review and speculation S Das, MK Sanyal vol 8, 21, 2020 | 12 | 2020 |