A Hybrid Approach for Stock Price Forecasting: Integrating Temporal Variance Embedding, Multi-Scale Convolutional Networks, and Temporal Attention. - Yuvaraja Boddu; A. Manimaran 001 (ISED, 2024)

Design of an Iterative Dual Metaheuristic VARMAx Model Enhancing Efficiency of Time Series Predictions. - Yuvaraja Boddu; Manimaran Aridoss; B. Arunkumar 001; Ramkumar Devendiran (IEEE Access, 2024)

Advanced Air Quality Forecasting Using an Enhanced Temporal Attention-Driven Graph Convolutional Long Short-Term Memory Model With Seasonal-Trend Decomposition. - Yuvaraja Boddu; Manimaran Aridoss; B. Arunkumar 001; M. Sucharitha; J. Suresh Babu (IEEE Access, 2024)

Design of an Iterative Method for Time Series Forecasting Using Temporal Attention and Hybrid Deep Learning Architectures. - Yuvaraja Boddu; A. Manimaran 001 (IEEE Access, 2025)

Design of an integrated model combining recurrent convolutions and attention mechanism for time series prediction. - Nirmalajyothi Narisetty; Kunda Suresh Babu; Lakshmi Naga Jayaprada Gavarraju; Munigeti Benjmin Jashva; Seshu Bhavani Mallampati; Yuvaraja Boddu (J. Supercomput., 2025)

Enhanced environmental time-series forecasting using ICA-LSD Bayesian LSTM: a robust approach for accurate and uncertainty-aware predictions. - Yuvaraja Boddu; A. Manimaran 001; Talabathula Jayanth (Earth Sci. Informatics, 2025)