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Deepak Thakur
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2020 – today
- 2025
- [j6]Deepak Thakur, Anand Muni Mishra, Jaiteg Singh, Vivek Bhardwaj, Tanya Gera:
Enhanced diagnostic accuracy for multiple lung diseases using a fine-tuned MobileNetV2 model with advanced pre-processing techniques. Expert Syst. Appl. 259: 125272 (2025) - 2024
- [j5]Deepak Thakur, Tanya Gera, Ambika Aggarwal, Madhushi Verma, Manjit Kaur, Dilbag Singh, Mohammed Amoon:
SUNet: Coffee Leaf Disease Detection Using Hybrid Deep Learning Model. IEEE Access 12: 149173-149191 (2024) - [j4]Vivek Bhardwaj, Tanya Gera, Deepak Thakur, Amitoj Singh:
Enhancing Automatic Speech Recognition for Punjabi Dialects: An Experimental Analysis of Incorporating Prosodic Features and Acoustic Variability Mitigation. SN Comput. Sci. 5(6): 747 (2024) - 2023
- [c2]Sunil Gupta, Neha Sharma, Deepak Thakur, Jatin Arora, Vikas Solanki, Rahul Chauhan:
Disease Classification Using ECG Signals Based on R-Peak Analysis with ANN. IC3I 2023: 1-5 - 2021
- [j3]Jaiteg Singh, Deepak Thakur, Tanya Gera, Babar Shah, Tamer AbuHmed, Farman Ali:
Classification and Analysis of Android Malware Images Using Feature Fusion Technique. IEEE Access 9: 90102-90117 (2021) - [j2]Deepak Thakur, Jaiteg Singh, Gaurav Dhiman, Mohammad Shabaz, Tanya Gera:
Identifying Major Research Areas and Minor Research Themes of Android Malware Analysis and Detection Field Using LSA. Complex. 2021: 4551067:1-4551067:28 (2021) - 2020
- [j1]Jaiteg Singh, Deepak Thakur, Farman Ali, Tanya Gera, Kyung Sup Kwak:
Deep Feature Extraction and Classification of Android Malware Images. Sensors 20(24): 7013 (2020) - [c1]Tanya Gera, Jaiteg Singh, Deepak Thakur, Parvez Faruki:
A Semi-automated Approach for Identification of Trends in Android Ransomware Literature. MLN 2020: 265-283
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