Raj, H., Nandheeswaran, M., Singh, D., Jayanthi, M., & Kannadaguli, P. (2024). Brand Sentiment: Aspect-based Multilingual Sentiment Analysis for Strategic Brand Reputation Enhancement and Management in India. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/SSITCON62437.2024.10796725
M.G. Jayanthi
First name
M.G.
Last name
Jayanthi
Dharwadkar, V., Veena, R., Manohar, S., Jayanthi, M., & Kannadaguli, P. (2024). Smart Cart: Revolutionizing E-Commerce in India with AI-Powered Personalized Product Recommendations Overview. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/I4C62240.2024.10748521
Sanath, G., Deekshitha, S., Shravya, H., Jayanthi, M., & Kannadaguli, P. (2024). Aquify:AI-Enhanced Predictive Analytics Toolkit For Water Contamination. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/I4C62240.2024.10748475
Jayanthi, M., & Shashikumar, D. (2020). Cucumber disease detection using adaptively regularised kernel-based fuzzy C-means and probabilistic neural network. International Journal of Computational Vision and Robotics, 10(5), 385-411,. https://doi.org/10.1504/IJCVR.2020.109390
Jayanthi, M., & Shashikumar, D. (2019). A Model for Early Detection of Paddy Leaf Disease using Optimized Fuzzy Inference System. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICSSIT46314.2019.8987955
Jayanthi, M., Shashikumar, D., & Preethi, S. (2022). Eggplant leaf disease detection and segmentation using adaptively regularized multi Kernel-Based FuzzyC-Means and Optimal PNN classifier. Indian Journal of Computer Science and Engineering, 13(5), 1542-1558,. https://doi.org/10.21817/indjcse/2022/v13i5/221305073
Aaditya, P., Manu, R., Asif, M., Jayanthi, M., & Kannadaguli, P. (2023). Comparative Analysis of Random Forest and CNN for Surgery Mortality Prediction. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/NMITCON58196.2023.10276379
Acharya, N., Singh, A., Dwivedi, A., Jayanthi, M., & Kannadaguli, P. (2023). Indian Food Segmentation and Calorie Estimation Using CatBoost and Masked Convolutional Neural Networks. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/NMITCON58196.2023.10275885
Baroliya, M., Srivastava, H., Iyer, A., Jayanthi, M., & Kannadaguli, P. (2023). Detection of Indian Regional Sign Language Through Convolutional Neural Network. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/GCITC60406.2023.10426231
Akash, V., Sai, M., Amith, K., Jayanthi, M., & Kannadaguli, P. (2023). Lung Nodule Segmentation and Classification Using Conv-Unet Based Deep Learning. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/NMITCON58196.2023.10276037
