Fruits and vegetables quality evaluation using computer vision: A review A Bhargava, A Bansal Journal of King Saud University-Computer and Information Sciences 33 (3 …, 2021 | 546 | 2021 |
Automatic detection and grading of multiple fruits by machine learning A Bhargava, A Bansal Food Analytical Methods 13 (3), 751-761, 2020 | 89 | 2020 |
Novel coronavirus (COVID-19) diagnosis using computer vision and artificial intelligence techniques: a review A Bhargava, A Bansal Multimedia tools and applications 80 (13), 19931-19946, 2021 | 65 | 2021 |
Classification and grading of multiple varieties of apple fruit A Bhargava, A Bansal Food Analytical Methods 14 (7), 1359-1368, 2021 | 53 | 2021 |
Machine learning–based detection and sorting of multiple vegetables and fruits A Bhargava, A Bansal, V Goyal Food Analytical Methods 15 (1), 228-242, 2022 | 48 | 2022 |
Quality evaluation of Mono & bi-Colored Apples with computer vision and multispectral imaging A Bhargava, A Bansal Multimedia Tools and Applications 79 (11), 7857-7874, 2020 | 48 | 2020 |
Machine learning-based automatic detection of novel coronavirus (COVID-19) disease A Bhargava, A Bansal, V Goyal Multimedia Tools and Applications 81 (10), 13731-13750, 2022 | 39 | 2022 |
Machine learning based quality evaluation of mono-colored apples A Bhargava, A Bansal Multimedia Tools and Applications 79 (31), 22989-23006, 2020 | 30 | 2020 |
A novel opposition based improved firefly algorithm for multilevel image segmentation A Sharma, R Chaturvedi, A Bhargava Multimedia Tools and Applications 81 (11), 15521-15544, 2022 | 22 | 2022 |
Chaos based image encryption using two step iterated logistic map M Sharma, A Bhargava 2016 International Conference on Recent Advances and Innovations in …, 2016 | 17 | 2016 |
In vitro calculogenesis: methods to develop concretions of desired chemical composition SG Kabra, V Kabra, P Banerji, LK Jain, A Bhargava, RP Chaturvedi Indian journal of experimental biology 16 (2), 212-217, 1978 | 14 | 1978 |
A review on tea quality and safety using emerging parameters A Bhargava, A Bansal, V Goyal, P Bansal Journal of Food Measurement and Characterization, 1-21, 2022 | 8 | 2022 |
Multi-level segmentation of fruits using modified firefly algorithm R Chaturvedi, A Sharma, A Bhargava, J Rajpurohit, P Gothwal Food Analytical Methods 15 (11), 2891-2900, 2022 | 5 | 2022 |
Machine learning & computer vision-based optimum black tea fermentation detection A Bhargava, A Bansal, V Goyal, A Shukla Multimedia Tools and Applications 82 (28), 43335-43347, 2023 | 4 | 2023 |
Plant Leaf Disease Detection, Classification and Diagnosis using Computer Vision and Artificial Intelligence: A Review A Bhargava, A Shukla, O Goswami, MH Alsharif, P Uthansakul, ... IEEE Access, 2024 | 3 | 2024 |
Detection and grading of different vegetable using machine learning A Bhargava, A Bansal, V Goyal Advances in Data and Information Sciences: Proceedings of ICDIS 2021, 671-679, 2022 | 3 | 2022 |
Grading of variety of bi and mono-colored ApplesT A Bhargava, A Bansal Soft Computing and Signal Processing: Proceedings of 3rd ICSCSP 2020, Volume …, 2022 | 2 | 2022 |
A CNTFET based stable, single-ended 7T SRAM cell with improved write operation A Sachdeva, K Sharma, A Bhargava, E Abbasian Physica Scripta 99 (3), 035011, 2024 | 1 | 2024 |
Histochemical analysis of urinary stone: part I--specificity & sensitivity of microchemical staining reactions to identify chemical constituents V Kabra, SG Kabra, RP Chaturvedi, AP Bhargava, P Banerji, A Bhargava, ... Indian journal of experimental biology 19 (11), 1050-1053, 1981 | 1 | 1981 |
Hyperspectral Imaging and Its Applications: A Review A Bhargava, A Sachdeva, K Sharma, MH Alsharif, P Uthansakul, ... Heliyon 10 (12), 2024 | | 2024 |