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Paawan Sharma
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2020 – today
- 2024
- [j10]Vipin Shukla
, Amit Sant, Paawan Sharma, Munjal Nayak, Hasmukh Khatri:
An explainable artificial intelligence based approach for the prediction of key performance indicators for 1 megawatt solar plant under local steppe climate conditions. Eng. Appl. Artif. Intell. 131: 107809 (2024) - [j9]Parita Rajiv Oza, Paawan Sharma, Samir Patel
Breast lesion classification from mammograms using deep neural network and test-time augmentation. Neural Comput. Appl. 36(4): 2101-2117 (2024) - [d1]Paawan Sharma
Dataset for various grit-size Abrasive sheets. IEEE DataPort, 2024 - 2023
- [j8]Jay N. Chaudhari
Designing Practical End-to-End System for Soft Biometric-Based Person Retrieval From Surveillance Videos. IEEE Access 11: 133640-133657 (2023) - [j7]Parita Rajiv Oza, Paawan Sharma, Samir Patel
Deep ensemble transfer learning-based framework for mammographic image classification. J. Supercomput. 79(7): 8048-8069 (2023) - [c3]Harsh Tripathi, Jay N. Chaudhari
Integrating Datasets with Discrete and Natural Language Annotations for Person Retrieval. VTC Fall 2023: 1-5 - 2022
- [j6]Parita Rajiv Oza
Image Augmentation Techniques for Mammogram Analysis. J. Imaging 8(5): 141 (2022) - [j5]Parita Rajiv Oza
Deep convolutional neural networks for computer-aided breast cancer diagnostic: a survey. Neural Comput. Appl. 34(3): 1815-1836 (2022) - [j4]Parita Rajiv Oza, Paawan Sharma, Samir Patel:
A Transfer Representation Learning Approach for Breast Cancer Diagnosis from Mammograms using EfficientNet Models. Scalable Comput. Pract. Exp. 23(2): 51-58 (2022) - [j3]Parita Rajiv Oza, Paawan Sharma, Samir Patel:
Transfer Learning Assisted Classification of Artefacts Removed and Contrast Improved Digital Mammograms. Scalable Comput. Pract. Exp. 23(3): 115-127 (2022) - 2021
- [j2]Parita Rajiv Oza
A Bottom-Up Review of Image Analysis Methods for Suspicious Region Detection in Mammograms. J. Imaging 7(9): 190 (2021) - [p1]Paawan Sharma, Hardik Patel, Mohendra Roy:
Role of Artificial Intelligence Based Wireless Sensor Network for Pandemic Control: A Case Study Using CupCarbon. Use of AI, Robotics, and Modern Tools to Fight Covid-19 2021: 127-139 - 2020
- [c2]Mehul S. Raval, Tolga Kaya, Mazad Zaveri
Experiments with Multinational Cross-Course Project. TALE 2020: 570-575
2010 – 2019
- 2019
- [c1]Paawan Sharma, Kartik Patel, Sourabh Kuvera, Fenil Dankhara:
Generative Adversarial Network (GANs) based training set enhancement for Stomach Adenocarcinoma Computed Tomography (CT) scan. EUSPN/ICTH 2019: 377-384 - 2018
- [j1]Adesh Kumar
Machine Learning Based Resource Utilization and Pre-estimation for Network on Chip (NoC) Communication. Wirel. Pers. Commun. 102(3): 2211-2231 (2018)
Coauthor Index
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