International Journals (SCI)

• Agarwal, D., Bhargava, A., Alsharif, M. H. et al. “Automatic diagnosis of age-related macular degeneration using machine learning and image processing techniques.” Scientific Reports (2026). https://doi.org/10.1038/s41598-026-35428-2.
• Upadhyay, N., Sharma, D. K. & Bhargava, A. “3SW-Net: A Feature Fusion Network for Semantic Weed Detection in Precision Agriculture.” Food Analytical Methods 18, 2241–2257 (2025). https://doi.org/10.1007/s12161-025-02852-5.
• Bhargava, A., Yadav, D., Mani, E., Sachdeva, A. “Design and Parametric Characterization of CNTFET Based Stable Static Random Access Memory Bit Cell for Low Power Applications.” International Journal of Electronics and Communications, 2024.
• Goswami, O. P., Shukla, A., Kumar, M. & Bhargava, A. “Optimal design of digital low-pass filters using multiverse optimization.” Journal of Electrical Engineering, 2024, Slovak University of Technology, vol. 75, no. 4, pp. 253–257.
• Bhargava, A., Sachdeva, A., Sharma, K., Alsharif, M. H., Uthansakul, P., & Uthansakul, M. “Hyperspectral Imaging and Its Applications: A Review.” Heliyon, 10(12), 2024.
• Agarwal, D., & Bhargava, A. “On-tree fruit detection system using Darknet-19 based SSD network.” Journal of Food Measurement and Characterization, 1–10, 2024.
• Gupta, D., Bhargava, A., Agarwal, D., Alsharif, M. H., Uthansakul, P., Uthansakul, M., Aly, A. A. “Deep Learning-Based Truthful and Deceptive Hotel Reviews.” Sustainability, 16(11), 4514, 2024.
• Bhargava, A., Shukla, A., Goswami, O., Alsharif, M. H., Uthansakul, P. & Uthansakul, M. “Plant Leaf Disease Detection, Classification and Diagnosis using Computer Vision and Artificial Intelligence: A Review.” IEEE Access, 2024.
• Sachdeva, A., Sharma, K., Bhargava, A., Abbasian, E. “A CNTFET based stable, single ended 7T SRAM cell with improved write operation.” Physica Scripta, 99, 2024.
• Bhargava, A., Bansal, A., Goyal, V. et al. “Machine learning & computer vision-based optimum black tea fermentation detection.” Multimedia Tools and Applications, 82, 43335–43347, 2023.
• Sharma, A., Chaturvedi, R., Bhargava, A. “Multi-level Segmentation of Fruits Using Modified Firefly Algorithm.” Food Analytical Methods, 2022. (Springer, SCI, I.F. 3.366).
• Sharma, A., Chaturvedi, R., Bhargava, A. “A novel opposition based improved firefly algorithm for multilevel image segmentation.” Multimedia Tools and Applications, 2022. (Springer, SCI, I.F. 2.757).
• Bhargava, A., Bansal, A., Goyal, V. “Machine learning-based automatic detection of novel coronavirus (COVID-19) disease.” Multimedia Tools & Applications, January 2022. https://doi.org/10.1007/s11042-022-12508-9. (Springer, SCI, I.F. 2.757).
• Bhargava, A., Bansal, A., Goyal, V., Bansal, P. “A Review on Tea Quality and Safety using Emerging Parameters.” Journal of Food Measurement and Characterization, January 2022. https://doi.org/10.1007/s11694-021-01232-x. (Springer, SCI, I.F. 2.41).
• Bhargava, A., Bansal, A. & Goyal, V. “Machine Learning–Based Detection and Sorting of Multiple Vegetables and Fruits.” Food Analytical Methods, 2021. https://doi.org/10.1007/s12161-021-02086-1. (Springer, SCI, I.F. 2.413).
• Bhargava, A., Bansal, A. “Novel Coronavirus (COVID-19) Diagnosis using computer vision and artificial intelligence techniques: A Review.” Multimedia Tools & Applications, 2021, 385, 8. https://doi.org/10.1007/s11042-021-10714-5. (Springer, SCI, I.F. 2.757).
• Bhargava, A., Bansal, A. “Classification and Grading of multiple variety of Apple fruit.” Food Analytical Methods, 2021. https://doi.org/10.1007/s12161-021-01970-0. Accepted. (Springer, SCI, I.F. 2.413).
• Bhargava, A., Bansal, A. “Machine learning based Quality Evaluation of Mono-Colored Apples.” Multimedia Tools & Applications, 2020, 79, 22989–23006. https://doi.org/10.1007/s11042-020-09036-9. (Springer, SCI, I.F. 2.101).
• Bhargava, A., Bansal, A. “Quality Evaluation of Mono & Bi-Colored Apples with Computer Vision and Multispectral Imaging.” Multimedia Tools & Applications, 2020, 79, 7857–7874. https://doi.org/10.1007/s11042-019-08564-3. (Springer, SCI, I.F. 2.101).
• Bhargava, A., Bansal, A. “Automatic Detection and Grading of Multiple Fruits by Machine Learning.” Food Analytical Methods, 2019, 13, 751–761. https://doi.org/10.1007/s12161-019-01690-6. (Springer, SCI, I.F. 2.413).
• Bhargava, A., Bansal, A. “Fruits and vegetables quality evaluation using computer vision: A review.” Journal of King Saud University – Computer and Information Sciences, Volume 13, Issue 3, March 2021, 243–257. https://doi.org/10.1016/j.jksuci.2018.06.002. (Elsevier, SCI, 3.572).

International Journals (Scopus)

• Upadhyay, N., Bhargava, A. “Artificial intelligence in agriculture: applications, approaches, and adversities across pre-harvesting, harvesting, and post-harvesting phases.” Iranian Journal of Computer Science (2025).
• Upadhyay, N., Singh, U. & Bhargava, A. “Enhancing breast cancer classification: a few-shot meta-learning framework with DenseNet-121 for improved diagnosis.” Iranian Journal of Computer Science (2025).

Papers Published in International Conferences

• Bhargava, A., Singh, D., Agarwal, D. “Deep Learning based tea fermentation grading.” International Conference on Innovative Computing and Communication, 171–186, 2024.
• Bhargava, A., Bansal, A. “Detection & Grading of Different Vegetable Using Machine Learning.” 3rd International Conference on Information and Data Science (ICDIS-2021), May 14–15, 2021. DOI: 10.1007/978-981-16-5689-7_60. (Springer, Scopus Indexed).
• Bhargava, A., Bansal, A. (2021). “Machine Learning-Based Detection and Grading of Varieties of Apples and Mangoes.” In: Goyal, V., Gupta, M., Trivedi, A., Kolhe, M. L. (eds), Proceedings of International Conference on Communication and Artificial Intelligence. Lecture Notes in Networks and Systems, vol. 192, pp. 455–462. Springer, Singapore. https://doi.org/10.1007/978-981-33-6546-9_43.
• Bhargava, A., Bansal, A. (2022). “Grading of Variety of Bi and Mono-Colored Apples.” In: Reddy, V. S., Prasad, V. K., Wang, J., Reddy, K. T. V. (eds), Soft Computing and Signal Processing. Advances in Intelligent Systems and Computing, vol. 1340. Springer, Singapore. https://doi.org/10.1007/978-981-16-1249-7_35.
• Sharma, M., Bhargava, A. “Chaos Based Image Encryption Using Two-Step Iterated Logistic Map.” IEEE International Conference on Recent Advances and Innovation in Engineering (ICRAIE), December 23–25, 2016, Jaipur.
• Chateja, S., Bhargava, A. “DSets-DDC Clustering.” IEEE International Conference on Recent Advances and Innovation in Engineering (ICRAIE-2016), December 23–25, 2016, Jaipur.