Author

Md. Mehedi Hasan

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Review Open access Jul 2026

Machine Learning for Time Series Forecasting: Models, Benchmarks, and Challenges – A Case Study

This work provides a thorough analysis of deep learning architectures, contemporary machine learning algorithms, and traditional statistical models for time series forecasting, including ARIMA, Support Vector Regression, Random Forests, Long Short-Term Memory, and Transformer-based methods.

Md. Mehedi Hasan · Scientia. Technology, Scienc... · 0 citations

Jul 2026

AffectFuse: Cross-Task Feature Fusion with Temporal Modeling for Multi-Task Affective Behavior Analysis

This work presents a system for the Multi-Task Learning (MTL) track of the 11th Affective Behavior Analysis in-the-wild (ABAW) competition on s-Aff-Wild2, the static selected-frame version of Aff-Wild2, showing that post-encoder adaptation and task-wise modeling choices provide a strong MTL pipeline without training a new large-scale face foundation model.

Dipit Saha, Mohammad Raihan Rashid, Shahruz Mannan et al. · arXiv.org · 0 citations