Meenakshi Aggarwal

Nov 10, 2023 | onlinelibrary.wiley.com | Meenakshi Aggarwal |Vikas Khullar |Nitin Goyal |Rashi Rastogi

CONFLICT OF INTEREST STATEMENT The authors declare no conflicts of interest. REFERENCES 1, , , . Brain tumor classification using ensemble classifiers. Proceedings of the International Conference on Electronics and Renewable Systems, ICEARS 2022. IEEE; 2022: 875-878. doi:10.1109/ICEARS53579.2022.9752177 2, . Brain tumors. Am J Med. 2018; 131(8): 874-882. doi:10.1016/j.amjmed.2017.12.039 3, . Federated learning for medical image analysis with deep neural networks. Diagnostics. 2023; 13(9): 1-18.

Sep 26, 2023 | mdpi.com | Meenakshi Aggarwal |Vikas Khullar |Nitin Goyal |Rama Gautam

1. IntroductionThe agricultural sector plays a vital role in the economic advancement of any country. It provides fundamental raw materials, which act as the foundation for numerous industries. The production of agriculture is significantly impacted by rice, a crop that is grown all over the world. Over 50% of the global population, mainly in Asia, Africa, and America, relies primarily on rice as a food source.

Aug 8, 2023 | mdpi.com | Meenakshi Aggarwal |Vikas Khullar |Nitin Goyal |Abdullah Saleh Alammari

3.5. Proposed Federated Learning Framework for Rice Leaf Disease Images ClassificationThe need for rice leaf disease images classification arises from the desire to safeguard rice crops, enhance agricultural productivity, and ensure food security. By leveraging technology to develop accurate and efficient detection methods, farmers can be empowered with the necessary tools to effectively manage and mitigate the impact of rice leaf diseases.

Apr 24, 2023 | mdpi.com | Vikas Khullar |Nitin Goyal |AMAN SINGH |Meenakshi Aggarwal

2.