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Author

R. Maskeliūnas

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Book Open access Oct 2026

Multi-Scale Spatiotemporal EEG and Self-Supervised Audio Fusion: A Mixture-of-Experts Approach to Continuous Affect

Emotion-aware human–computer interaction increasingly relies on continuous emotion recognition (CER) to track affective states over time. This paper investigates continuous valence prediction on the MAHNOB-HCI database using a multimodal EEG+audio framework. The proposed model combines (i) a hierarchical spatiotemporal...

Ali Amini, Sarmad Maqsood, Irfan Abbas et al. · 0 citations
Open access Sep 2026

StressNet: Neuromorphic multimodal stress recognition from wearable physiological signals

Continuous, real-time monitoring of psychological stress is becoming increasingly important in digital health and remote patient-monitoring systems. However, deploying always-on stress-monitoring models on consumer wearable devices remains challenging because of their limited computational resources and microjoule-...

M. Sajid, N. Aburaed, R. Maskeliūnas · 0 citations
Open access Sep 2026

ConvSNN: an energy-efficient hybrid convolutional-spiking neural network for wrist-worn stress and affective state recognition

Continuous stress monitoring on wrist-worn devices matters for real-time affective computing, digital health, and personalized well-being, yet it remains difficult because a wearable model must operate with few sensors, little compute, and a tight energy budget. Chest-mounted systems can draw on high signal-to-nois...

M. Sajid, N. Aburaed, R. Maskeliūnas · 0 citations
Book Open access Oct 2026

Multi-Scale Spatiotemporal EEG and Self-Supervised Audio Fusion: A Mixture-of-Experts Approach to Continuous Affect

Emotion-aware human–computer interaction increasingly relies on continuous emotion recognition (CER) to track affective states over time. This paper investigates continuous valence prediction on the MAHNOB-HCI database using a multimodal EEG+audio framework. The proposed model combines (i) a hierarchical spatiotemporal...

Ali Amini, Sarmad Maqsood, Irfan Abbas et al. · 0 citations
Review Open access Sep 2026

Photovoltaic power forecasting: A comprehensive review and taxonomy of forecasting methods

ABSTRACT Photovoltaic (PV) power forecasting is a foundational capability for operating power systems with high shares of variable renewable generation. However, the methodological landscape is fragmented across physical-based models, statistical time-series approaches, machine learning (ML), and increasingly diverse h...

Jokūbas Jonuška, R. Damaševičius, Diana Belova-Plonienė et al. · 0 citations

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