| Bone cancer detection using feature extraction based machine learning model A Sharma, DP Yadav, H Garg, M Kumar, B Sharma, D Koundal Computational and Mathematical Methods in Medicine 2021 (1), 7433186, 2021 | 126 | 2021 |
| Hatred and trolling detection transliteration framework using hierarchical LSTM in code-mixed social media text S Shekhar, H Garg, R Agrawal, S Shivani, B Sharma Complex & Intelligent Systems 9 (3), 2813-2826, 2023 | 124 | 2023 |
| Spoofing detection system for e-health digital twin using EfficientNet Convolution Neural Network H Garg, B Sharma, S Shekhar, R Agarwal Multimedia Tools and Applications 81 (19), 26873-26888, 2022 | 120 | 2022 |
| Lightweight branched blockchain security framework for Internet of Vehicles M Gupta, RB Patel, S Jain, H Garg, B Sharma Transactions on Emerging Telecommunications Technologies, e4520, 2022 | 85 | 2022 |
| An enhanced deep image model for glaucoma diagnosis using feature-based detection in retinal fundus LK Singh, Pooja, H Garg, M Khanna, RS Bhadoria Medical & Biological Engineering & Computing 59, 333-353, 2021 | 79 | 2021 |
| Best Fit DNA-Based Cryptographic Keys: The Genetic Algorithm Approach P Mukherjee, H Garg, C Pradhan, S Ghosh, S Chowdhury, G Srivastava Sensors 22 (19), 7332, 2022 | 53 | 2022 |
| Deep learning system applicability for rapid glaucoma prediction from fundus images across various data sets LK Singh, Pooja, H Garg, M Khanna Evolving Systems 13 (6), 807-836, 2022 | 49 | 2022 |
| Emperor penguin optimization algorithm-and bacterial foraging optimization algorithm-based novel feature selection approach for glaucoma classification from fundus images LK Singh, M Khanna, H Garg, R Singh Soft Computing 28 (3), 2431-2467, 2024 | 41 | 2024 |
| A robust framework for glaucoma detection using CLAHE and EfficientNet N Gupta, H Garg, R Agarwal The Visual Computer, 1-14, 2022 | 40 | 2022 |
| Detection of data leakage in cloud computing environment N Kumar, V Katta, H Mishra, H Garg 2014 International conference on computational intelligence and …, 2014 | 36 | 2014 |
| Drowsiness detection of a driver using conventional computer vision application H Garg 2020 international conference on power electronics & IoT applications in …, 2020 | 34 | 2020 |
| Performance evaluation of various deep learning based models for effective glaucoma evaluation using optical coherence tomography images LK Singh, Pooja, H Garg, M Khanna Multimedia Tools and Applications 81 (19), 27737-27781, 2022 | 31 | 2022 |
| Efficient feature selection based novel clinical decision support system for glaucoma prediction from retinal fundus images LK Singh, M Khanna, H Garg, R Singh Medical Engineering & Physics 123, 104077, 2024 | 27 | 2024 |
| A real time cloud-based framework for glaucoma screening using EfficientNet H Garg, N Gupta, R Agrawal, S Shivani, B Sharma Multimedia Tools and Applications, 1-22, 2022 | 27 | 2022 |
| A novel approach for human diseases prediction using nature inspired computing & machine learning approach MunishKhanna, LK Singh, H Garg Multimedia Tools and Applications 83 (6), 17773-17809, 2024 | 25 | 2024 |
| An artificial intelligence-based smart system for early glaucoma recognition using OCT images LK Singh, H Garg, M Khanna Research anthology on improving medical imaging techniques for analysis and …, 2023 | 23 | 2023 |
| Early Stress Detection and Analysis using EEG signals in Machine Learning Framework J Agrawal, M Gupta, H Garg IOP Conference Series: Materials Science and Engineering 1116 (1), 012134, 2021 | 23 | 2021 |
| Multimodal biometric based on fusion of ridge features with minutiae features and face features LK Singh, M Khanna, H Garg International Journal of Information System Modeling and Design (IJISMD) 11 …, 2020 | 21 | 2020 |
| Detection of glaucoma in retinal fundus images using fast fuzzy C means clustering approach LK Singh, H Garg 2019 International conference on computing, communication, and intelligent …, 2019 | 21 | 2019 |
| Automated glaucoma type identification using machine learning or deep learning techniques LK Singh, H Garg, Pooja Advancement of machine intelligence in interactive medical image analysis …, 2020 | 19 | 2020 |
Bhisham sharmaProfessor, Chitkara University, Punjab, Top 2% Scientists by Stanford (Elsevier)ایمیل تأیید شده در chitkara.edu.in
