| Prediction of chronic kidney disease-a machine learning perspective P Chittora, S Chaurasia, P Chakrabarti, G Kumawat, T Chakrabarti, ... IEEE access 9, 17312-17334, 2021 | 228 | 2021 |
| Dermatologist-level classification of skin cancer using cascaded ensembling of convolutional neural network and handcrafted features based deep neural network AK Sharma, S Tiwari, G Aggarwal, N Goenka, A Kumar, P Chakrabarti, ... IEEE Access 10, 17920-17932, 2022 | 140 | 2022 |
| Classification of Indian classical music with time-series matching deep learning approach AK Sharma, G Aggarwal, S Bhardwaj, P Chakrabarti, T Chakrabarti, ... IEEE access 9, 102041-102052, 2021 | 118 | 2021 |
| Involvement of ROS in chlorogenic acid-induced apoptosis of Bcr-Abl+ CML cells S Rakshit, L Mandal, BC Pal, J Bagchi, N Biswas, J Chaudhuri, ... Biochemical pharmacology 80 (11), 1662-1675, 2010 | 115 | 2010 |
| Adaptive neuro-fuzzy inference system-based maximum power tracking controller for variable speed WECS AA Chhipa, V Kumar, RR Joshi, P Chakrabarti, M Jasinski, A Burgio, ... Energies 14 (19), 6275, 2021 | 88 | 2021 |
| Exploring pharmacological mechanisms of essential oils on the central nervous system GAB Soares, T Bhattacharya, T Chakrabarti, P Tagde, S Cavalu Plants 11 (1), 21, 2021 | 84 | 2021 |
| Withaferin A modulates the Spindle Assembly Checkpoint by degradation of Mad2–Cdc20 complex in colorectal cancer cell lines T Das, KS Roy, T Chakrabarti, S Mukhopadhyay, S Roychoudhury Biochemical pharmacology 91 (1), 31-39, 2014 | 82 | 2014 |
| A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer’s disease AD Arya, SS Verma, P Chakarabarti, T Chakrabarti, AA Elngar, AM Kamali, ... Brain Informatics 10 (1), 17, 2023 | 80 | 2023 |
| Novel betulin derivatives as antileishmanial agents with mode of action targeting type IB DNA topoisomerase S Chowdhury, T Mukherjee, S Sengupta, SR Chowdhury, ... Molecular pharmacology 80 (4), 694-703, 2011 | 78 | 2011 |
| Analysis of earthquake forecasting in India using supervised machine learning classifiers P Debnath, P Chittora, T Chakrabarti, P Chakrabarti, Z Leonowicz, ... Sustainability 13 (2), 971, 2021 | 66 | 2021 |
| Analysis of Strategic Market Management in Light of Stochastic Processes, Recurrence Relation, Abelian Group and Expectation P Chakrabarti, T Chakrabarti, S Bane, B Satpathy, I SenGupta, JA Ware Advances in Artificial Intelligence and Data Engineering: Select Proceedings …, 2021 | 61 | 2021 |
| Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease UK Lilhore, S Dalal, N Faujdar, M Margala, P Chakrabarti, T Chakrabarti, ... Scientific Reports 13 (1), 14605, 2023 | 60 | 2023 |
| Novel heuristic optimization technique to solve economic load dispatch and economic emission load dispatch problems N Singh, T Chakrabarti, P Chakrabarti, M Margala, A Gupta, SP Praveen, ... Electronics 12 (13), 2921, 2023 | 60 | 2023 |
| Evaluation of nootropic activity of standardized Epipremnum aureum extract against scopolamine-induced amnesia in experimental animals S Kanti Das, GS Chakraborthy, T Chakrabarti, P Chakrabarti, ... Journal of Advanced Medical Sciences and Applied Technologies 6 (1), 64-71, 2021 | 60 | 2021 |
| The lignan niranthin poisons Leishmania donovani topoisomerase IB and favours a Th1 immune response in mice S Chowdhury, T Mukherjee, R Mukhopadhyay, B Mukherjee, S Sengupta, ... EMBO Molecular Medicine 4 (10), 1126-1143, 2012 | 58 | 2012 |
| Prognosis of cervical cancer disease by applying machine learning techniques G Kumawat, SK Vishwakarma, P Chakrabarti, P Chittora, T Chakrabarti, ... Journal of Circuits, Systems and Computers 32 (01), 2350019, 2023 | 57 | 2023 |
| Performance analysis and error evaluation towards the liver cancer diagnosis using lazy classifiers for ILPD M Tiwari, P Chakrabarti, T Chakrabarti Soft Computing Systems: Second International Conference, ICSCS 2018, Kollam …, 2018 | 57 | 2018 |
| Quantification of Thought Analysis of Alcohol-addicted persons and memory loss of patients suffering from stage-4 liver cancer P Chakrabarti, T Chakrabarti, M Sharma, D Atre, KB Pai Advances in Intelligent Systems and Computing 1053, 1099-1105, 2020 | 56 | 2020 |
| Compound Poisson Process and its Applications in Business P Chakrabarti, S Bane, B Satpathy, M Goh, BN Datta, T Chakrabarti ICDSMLA 2019: Proceedings of the 1st International Conference on Data …, 2020 | 54 | 2020 |
| Novel Work of Diagnosis of Liver Cancer Using Tree Classifier on Liver Cancer Dataset (BUPA Liver Disorder) M Tiwari, P Chakrabarti, T Chakrabarti Soft Computing Systems: Second International Conference, ICSCS 2018, Kollam …, 2018 | 54 | 2018 |
Prof Prasun Chakrabarti, PhD(Engg) J...Senior Professor, Director -Research, Dean(International Affairs), SPSU-UdaipurVerified email at spsu.ac.in
