Year : 2026
Hybrid Gait-Based Human Identification Using Modified U-Net and Score-Level Fusion
Cite this Research Publication : Uppuluri Lakshmi Soundharya, Gogineni Krishna Chaitanya, Khadri Syed Faizz Ahmad, R. Srilakshmi, Sasidhar Reddy Gaddam, V. Lakshmi Chetana, Hybrid Gait-Based Human Identification Using Modified U-Net and Score-Level Fusion, SN Computer Science, Springer Science and Business Media LLC, 2026, https://doi.org/10.1007/s42979-026-05197-w
Publisher : Springer Science and Business Media LLC
Year : 2026
Alzheimer’s disease staging using enhanced inception-ResNet-V2 and improved XceptionNet models for 3D MRI classification and segmentation
Cite this Research Publication : V. Srilakshmi, Prasad Devarasetty, V. Lakshmi Chetana, SurendraReddy Vinta, Radha Kowtharapu, Alzheimer's disease staging using enhanced inception-ResNet-V2 and improved XceptionNet models for 3D MRI classification and segmentation, Journal of Neuroscience Methods, Elsevier BV, 2026, https://doi.org/10.1016/j.jneumeth.2026.110767
Publisher : Elsevier BV
Year : 2026
An optimized deep learning-based aggregation for multi-criteria-based collaborative filtering
Cite this Research Publication : V. Lakshmi Chetana, Hari Seetha, An optimized deep learning-based aggregation for multi-criteria-based collaborative filtering, Ain Shams Engineering Journal, Elsevier BV, 2026, https://doi.org/10.1016/j.asej.2026.104393
Publisher : Elsevier BV
Year : 2025
Transformer based models with hierarchical graph representations for enhanced climate forecasting
Cite this Research Publication : T. Bhargava Ramu, Raviteja Kocherla, G. N. V. G. Sirisha, V. Lakshmi Chetana, P. Vidya Sagar, R. Balamurali, Nanditha Boddu, Transformer based models with hierarchical graph representations for enhanced climate forecasting, Scientific Reports, Springer Science and Business Media LLC, 2025, https://doi.org/10.1038/s41598-025-07897-4
Publisher : Springer Science and Business Media LLC
Year : 2025
A Deep Learning Framework for Enhancing Recommender Systems With Dual‐Feedback Integration
Cite this Research Publication : V. Lakshmi Chetana, Hari Seetha, A Deep Learning Framework for Enhancing Recommender Systems With Dual‐Feedback Integration, Applied Computational Intelligence and Soft Computing, Wiley, 2025, https://doi.org/10.1155/acis/1951982
Publisher : Wiley
Year : 2025
Min–Max Filtering and Exponential Fossa Optimization Algorithm–Based Parallel Convolutional Neural Network for Heart Disease Detection
Cite this Research Publication : Aathilakshmi S., Balasubramaniam S., Sivakumar T. A., Lakshmi Chetana V., Min–Max Filtering and Exponential Fossa Optimization Algorithm–Based Parallel Convolutional Neural Network for Heart Disease Detection, International Journal of Intelligent Systems, Wiley, 2025, https://doi.org/10.1155/int/1409684
Publisher : Wiley
Year : 2024
Handling Massive Sparse Data in Recommendation Systems
Cite this Research Publication : V Lakshmi Chetana, Hari Seetha, “Handling Massive Sparse Data in Recommendation Systems”, Journal of Information and Knowledge Management, Vol. 23, No. 3, 2024.
Year : 2023
Enhancing Movie Recommendations: An Ensemble-Based Deep Collaborative Filtering Approach Utilizing AdaMVRGO Optimization
Cite this Research Publication : V Lakshmi Chetana, Hari Seetha,“Deep Collaborative Filtering with AdaMVRGO for Movie Recommendations”, Traitement du Signal, Vol.40, No. 6, December 2023.
Year : 2023
Effective movie recommendation based on improved densenet model
Cite this Research Publication : Lakshmi Chetana V, Batchu Raj Kumar, Devarasetty Prasad, Voddelli Srilakshmi, Dalli Varun Prasad , “Effective movie recommendation based on improved densenet model”, Multiagent and Grid Systems – An International Journal, Vol.19, No. 2, 133-147, 2023.
Publisher : Multiagent and Grid Systems
Year : 2022
CF-AMVRGO: Collaborative Filtering based Adaptive Moment Variance Reduction Gradient Optimizer for Movie Recommendations
Cite this Research Publication : V Lakshmi Chetana, Hari Seetha, " CF – AMVRGO: Collaborative Filtering based Adaptive Moment Variance Reduction Gradient Optimizer for Movie Recommendations", International Journal of Computers and Applications , Taylor & Francis group, July 2022.