Opportunities of artificial intelligence and machine learning in the food industry I Kumar, J Rawat, N Mohd, S Husain Journal of Food Quality 2021, 1-10, 2021 | 165 | 2021 |
The state of the art of deep learning models in medical science and their challenges C Bhatt, I Kumar, V Vijayakumar, KU Singh, A Kumar Multimedia Systems 27 (4), 599-613, 2021 | 148 | 2021 |
Performance evaluation of regression models for COVID-19: A statistical and predictive perspective MA Khan, R Khan, F Algarni, I Kumar, A Choudhary, A Srivastava Ain Shams Engineering Journal 13 (2), 101574, 2022 | 49 | 2022 |
A classification framework for prediction of breast density using an ensemble of neural network classifiers I Kumar, HS Bhadauria, J Virmani, S Thakur Biocybernetics and Biomedical Engineering 37 (1), 217-228, 2017 | 48 | 2017 |
Dense tissue pattern characterization using deep neural network I Kumar, A Kumar, VDA Kumar, R Kannan, V Vimal, KU Singh, M Mahmud Cognitive computation 14 (5), 1728-1751, 2022 | 38 | 2022 |
Entropy based automatic unsupervised brain intracranial hemorrhage segmentation using CT images I Kumar, C Bhatt, KU Singh Journal of King Saud University-Computer and Information Sciences 34 (6 …, 2022 | 37 | 2022 |
A conventional study of edge detection technique in digital image processing I Kumar, J Rawat, HS Bhadauria International Journal of Computer Science and Mobile Computing 3 (4), 328-334, 2014 | 32 | 2014 |
Development of IDS using supervised machine learning I Kumar, N Mohd, C Bhatt, SK Sharma Soft Computing: Theories and Applications: Proceedings of SoCTA 2019, 565-577, 2020 | 26 | 2020 |
Wavelet packet texture descriptors based four-class BIRADS breast tissue density classification I Kumar, HS Bhadauria, J Virmani Procedia Computer Science 70, 76-84, 2015 | 24 | 2015 |
Comparative analysis of segmentation algorithms for leukocyte extraction in the acute Lymphoblastic Leukemia images J Rawat, A Singh, HS Bhadauria, I Kumar 2014 International Conference on Parallel, Distributed and Grid Computing …, 2014 | 24 | 2014 |
A hybrid hierarchical framework for classification of breast density using digitized film screen mammograms I Kumar, HS Bhadauria, J Virmani, S Thakur Multimedia Tools and Applications 76, 18789-18813, 2017 | 20 | 2017 |
A review of breast density classification methods I Kumar, J Virmani, HS Bhadauria Computing for Sustainable Global Development (INDIACom), 2015 2nd …, 2015 | 19 | 2015 |
Reduction of speckle noise from medical images using principal component analysis image fusion I Kumar, HS Bhadauria, J Virmani, J Rawat 2014 9th International Conference on Industrial and Information Systems …, 2014 | 18 | 2014 |
Classification of breast density patterns using PNN, NFC, and SVM classifiers I Kumar, J Virmani, HS Bhadauria, MK Panda Soft Computing Based Medical Image Analysis, 223-243, 2018 | 15 | 2018 |
Machine learning in bioinformatics I Kumar, SP Singh Bioinformatics, 443-456, 2022 | 12 | 2022 |
Deep learning approach for analysis and characterization of COVID-19 I Kumar, SS Alshamrani, A Kumar, J Rawat, KU Singh, M Rashid, ... Computers, Materials and Continua 70 (1), 451-468, 2021 | 12 | 2021 |
Computer‐aided deep learning model for identification of lymphoblast cell using microscopic leukocyte images A Kumar, J Rawat, I Kumar, M Rashid, KU Singh, YD Al‐Otaibi, U Tariq Expert Systems 39 (4), e12894, 2022 | 11 | 2022 |
Application of AI in SCM or Supply Chain 4.0 SP Singh, J Rawat, M Mittal, I Kumar, C Bhatt Artificial Intelligence in Industrial Applications: Approaches to Solve the …, 2022 | 11 | 2022 |
Automated white corpuscles nucleus segmentation using deep neural network from microscopic blood smear I Kumar, C Bhatt, V Vimal, S Qamar Journal of Intelligent & Fuzzy Systems 42 (2), 1075-1088, 2022 | 11 | 2022 |
FAB classification of acute leukemia using an ensemble of neural networks J Rawat, J Virmani, A Singh, HS Bhadauria, I Kumar, JS Devgan Evolutionary Intelligence 15 (1), 99-117, 2022 | 7 | 2022 |