Author

Nazmus Sakib

2 papers indexed here

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Open access Nov 2026

Uncertainty-Aware Wind Power Forecasting Using a Cost-Sensitive and Feature Representation-Enhanced LUBE Framework

Precise and dependable wind power prediction is crucial for maintaining grid stability and ensuring operational efficiency. Despite this, current prediction interval (PI) techniques, particularly conventional Lower Upper Bound Estimation (LUBE), focus primarily on optimising statistical width and coverage. These method...

Nazmus Sakib, M. A. Hosen, Fahmid Al Farid et al. · Energies · 0 citations

#artificial intelligence Preprint Oct 2026

Deep Learning for Sleep Heart Rate Estimation from Accelerometers: Toward Population-Scale Cardiac Insight Without Optical Sensors

Findings of SeqSmoother reveal an accuracy-availability trade-off between learned temporal modeling and quality-gated signal processing while providing empirical support for a physics-informed approach to identifying frequency-tracking failures in accelerometer-based sleep HR estimation.

Tanbin Islam Rohan, P. Gupta, Tanusree Debi et al. · 0 citations