Detection and classification of islanding and power quality disturbances in microgrid using hybrid signal processing and data mining techniques T Chakravorti, RK Patnaik, PK Dash IET Signal Processing 12 (1), 82-94, 2018 | 37 | 2018 |
Multiclass power quality events classification using variational mode decomposition with fast reduced kernel extreme learning machine‐based feature selection T Chakravorti, PK Dash IET Science, Measurement & Technology 12 (1), 106-117, 2018 | 37 | 2018 |
A new robust kernel ridge regression classifier for islanding and power quality disturbances in a multi distributed generation based microgrid T Chakravorti, NR Nayak, R Bisoi, PK Dash, L Tripathy Renewable Energy Focus 28, 78-99, 2019 | 25 | 2019 |
Non linear system identification using kernel based exponentially extended random vector functional link network T Chakravorti, P Satyanarayana Applied Soft Computing 89, 106117, 2020 | 24 | 2020 |
Advanced signal processing techniques for multiclass disturbance detection and classification in microgrids T Chakravorti, RK Patnaik, PK Dash IET Science, Measurement & Technology 11 (4), 504-515, 2017 | 22 | 2017 |
A quadratic polynomial signal model and fuzzy adaptive filter for frequency and parameter estimation of nonstationary power signals S Nanda, PK Dash, T Chakravorti, S Hasan Measurement 87, 274-293, 2016 | 18 | 2016 |
Islanding and non-islanding disturbance detection in microgrid using optimized modes decomposition based robust random vector functional link network T Chakravorti, L Priyadarshini, PK Dash, BN Sahu Engineering Applications of Artificial Intelligence 85, 122-136, 2019 | 17 | 2019 |
Hilbert huang transform with fuzzy rules for feature selection and classification of power quality disturbances D Das, T Chakravorti, PK Dash 2017 4th IEEE Uttar Pradesh Section International Conference on Electrical …, 2017 | 14 | 2017 |
Detection and classification of COVID 19 using convolutional neural network from chest X-ray images T Chakravorti, VK Addala, JS Verma 2021 6th international conference for convergence in technology (I2CT), 1-6, 2021 | 10 | 2021 |
A new Taylor-LMS adaptive filter for parameter estimation of power signals including distributed generation systems S Nanda, T Chakravorty, PK Dash Australian Journal of Electrical and Electronics Engineering 13 (3), 174-194, 2016 | 8 | 2016 |
A morphological filter based disturbance detection and classification technique for DFIG wind farm based microgrid T Chakravorti, RK Patnaik, PK Dash 2015 IEEE Power, Communication and Information Technology Conference (PCITC …, 2015 | 7 | 2015 |
Classification of power quality disturbances using adaptive variational mode decomposition based random vector functional link network T Chakravorti, P Satyanarayana 2019 IEEE Region 10 Symposium (TENSYMP), 721-726, 2019 | 6 | 2019 |
A hybrid Hilbert Huang transform and improved fuzzy decision tree classifier for assessment of power quality disturbances in a grid connected distributed generation system R Bisoi, T Chakravorti, NR Nayak International Journal of Power and Energy Conversion 11 (1), 60-81, 2020 | 5 | 2020 |
Morphology based fuzzy approach for detection & classification of simultanious power quality disturbances T Chakravorti, PK Dash 2016 IEEE Annual India Conference (INDICON), 1-6, 2016 | 4 | 2016 |
Artificial prediction markets present a novel opportunity for human-AI collaboration T Chakravorti, V Singh, S Rajtmajer, M McLaughlin, R Fraleigh, C Griffin, ... arXiv preprint arXiv:2211.16590, 2022 | 2 | 2022 |
" Confidently Nonsensical?'': A Critical Survey on the Perspectives and Challenges of'Hallucinations' in NLP PN Venkit, T Chakravorti, V Gupta, H Biggs, M Srinath, K Goswami, ... arXiv preprint arXiv:2404.07461, 2024 | | 2024 |
" Confidently Nonsensical?'': A Critical Survey on the Perspectives and Challenges of'Hallucinations' in NLP P Narayanan Venkit, T Chakravorti, V Gupta, H Biggs, M Srinath, ... arXiv e-prints, arXiv: 2404.07461, 2024 | | 2024 |
Reproducibility, Replicability, and Transparency in Research: What 430 Professors Think in Universities across the USA and India T Chakravorti, SD Koneru, S Rajtmajer arXiv preprint arXiv:2402.08796, 2024 | | 2024 |
Integrating measures of replicability into literature search: Challenges and opportunities C Wu, T Chakravorti, J Carroll, S Rajtmajer arXiv preprint arXiv:2311.00653, 2023 | | 2023 |
Perspectives from India: Challenges and Opportunities for Computational Tools to Enhance Confidence in Published Research T Chakravorti, C Wu, S Koneru, S Rajtmajer arXiv preprint arXiv:2310.19158, 2023 | | 2023 |