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.· Proceedings of the 28th Inte...· 0 citations
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· Scientific Reports· 0 citations
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· Scientific Reports· 0 citations
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
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.· International Journal of Gre...· 0 citations
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