5 papers
SPaRSe-TIME: Saliency-Projected Low-Rank Temporal Modeling for Efficient and Interpretable Time Series Prediction
K. A. Shahriar
Time series forecasting is traditionally dominated by sequence-based architectures such as recurrent neural networks and attention mechanisms, which process all time steps uniforml…
Lightweight Resolution-Aware Audio Deepfake Detection via Cross-Scale Attention and Consistency Learning
K. A. Shahriar
Audio deepfake detection has become increasingly challenging due to rapid advances in speech synthesis and voice conversion technologies, particularly under channel distortions, re…
IoT-based Cost-Effective Fruit Quality Monitoring System using Electronic Nose
Anindya Bhattacharjee, Nittya Ananda Biswas, Khondakar Ashik Shahriar +1
Post-harvest losses due to subjective quality assessment cause significant damage to the economy and food safety, especially in countries like Bangladesh. To mitigate such damages,…
Why Nonlinear Models Matter: Unified Analysis of Cognitive Load, Stress, and Exercise Using Wearable Physiological Signals
Khondakar Ashik Shahriar
Wearable physiological signals exhibit strong nonlinear and subject-dependent behavior, challenging traditional linear models. This study provides a unified evaluation of cognitive…
Deep Domain-Adversarial Adaptation for Automatic Modulation Classification under Channel Variability
K. A. Shahriar
Automatic Modulation Classification (AMC) plays a significant role in modern cognitive and intelligent radio systems, where accurate identification of modulation is crucial for ada…