Author

M. Sajid

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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 · Scientific Reports · 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 · Scientific Reports · 0 citations

Open access Aug 2026

EnviroSpect-guided ConvMixer–ViT framework for environment-robust potato leaf disease detection

Potato is one of the world’s most important staple crops, yet its productivity is persistently compromised by foliar diseases particularly early blight (Alternaria solani) and late blight (Phytophthora infestans) which together account for substantial annual yield losses. Conventional visual diagnosis by agronomists is...

A. Sharif, Mudassir Khalil, M. Sajid et al. · Frontiers in Plant Science · 0 citations