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2020 – today
- 2024
[j11]Shreyas Gawde
, Shruti Patil, Satish Kumar, Pooja Kamat, Ketan Kotecha, Sultan Alfarhood:
Explainable Predictive Maintenance of Rotating Machines Using LIME, SHAP, PDP, ICE. IEEE Access 12: 29345-29361 (2024)- [j10]Vivek Warke, Satish Kumar, Arunkumar M. Bongale, Pooja Kamat, Ketan Kotecha, Ganeshsree Selvachandran, Ajith Abraham:
Improving the useful life of tools using active vibration control through data-driven approaches: A systematic literature review. Eng. Appl. Artif. Intell. 128: 107367 (2024) - [j9]Amrutesh Saraf, Pooja Kamat, Shilpa Gite, Satish Kumar, Ketan Kotecha:
Towards robust automated math problem solving: a survey of statistical and deep learning approaches. Evol. Intell. 17(5): 3113-3150 (2024) - [j8]Bunny Saini, Divya Venkatesh, Avinaash Ganesh, Amar Parameswaran, Shruti Patil, Pooja Kamat, Tanupriya Choudhury:
Colorizing Multi-Modal Medical Data: An Autoencoder-based Approach for Enhanced Anatomical Information in X-ray Images. EAI Endorsed Trans. Pervasive Health Technol. 10 (2024) - 2023
- [j7]Shreyas Gawde, Shruti Patil, Satish Kumar, Pooja Kamat, Ketan Kotecha, Ajith Abraham:
Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research. Eng. Appl. Artif. Intell. 123(Part A): 106139 (2023) - [c1]Aniket Singh, Amitesh Patra, Arjun Tyagi, Shivali Amit Wagle, Pooja Kamat:
Comparative Analysis of Algorithms for Cotton Plant Leaf Disease Classification from an Image. ICCST 2023: 1-5 - 2022
- [j6]Shruti Patil, Varadarajan Vijayakumar, Supriya V. Mahadevkar, Rohan Athawade, Lakhan Maheshwari, Shrushti Kumbhare, Yash Garg, Deepak S. Dharrao, Pooja Kamat, Ketan Kotecha:
Enhancing Optical Character Recognition on Images with Mixed Text Using Semantic Segmentation. J. Sens. Actuator Networks 11(4): 63 (2022) - [j5]Manish Rathod, Chirag Dalvi, Kulveen Kaur, Shruti Patil, Shilpa Gite, Pooja Kamat, Ketan Kotecha, Ajith Abraham, Lubna Abdel Kareim Gabralla:
Kids' Emotion Recognition Using Various Deep-Learning Models with Explainable AI. Sensors 22(20): 8066 (2022) - [i1]Shreyas Gawde, Shruti Patil, Satish Kumar, Pooja Kamat, Ketan Kotecha, Ajith Abraham:
Multi-Fault Diagnosis Of Industrial Rotating Machines Using Data-Driven Approach: A Review Of Two Decades Of Research. CoRR abs/2206.14153 (2022) - 2021
- [j4]Sameer Sayyad, Satish Kumar, Arunkumar M. Bongale, Pooja Kamat, Shruti Patil, Ketan Kotecha:
Data-Driven Remaining Useful Life Estimation for Milling Process: Sensors, Algorithms, Datasets, and Future Directions. IEEE Access 9: 110255-110286 (2021) - [j3]Vidisha Wagle, Kulveen Kaur, Pooja Kamat, Shruti Patil, Ketan Kotecha:
Explainable AI for Multimodal Credibility Analysis: Case Study of Online Beauty Health (Mis)-Information. IEEE Access 9: 127985-128022 (2021) - [j2]Pooja Kamat, Rekha Sugandhi, Satish Kumar:
Data-driven bearing fault detection using hybrid autoencoder-LSTM deep learning approach. Int. J. Model. Identif. Control. 38(1): 88-103 (2021) - [j1]Pooja Vinayak Kamat, Rekha Sugandhi, Satish Kumar:
Deep learning-based anomaly-onset aware remaining useful life estimation of bearings. PeerJ Comput. Sci. 7: e795 (2021)
Coauthor Index
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