2 papers
cs.LG2026
Unsupervised domain transfer: Overcoming signal degradation in sleep monitoring by increasing scoring realism
Mohammad Ahangarkiasari, Andreas Tind Damgaard, Casper Haurum +1
Objective: Investigate whether hypnogram 'realism' can be used to guide an unsupervised method for handling arbitrary types of signal degradation in mobile sleep monitoring. Approa…
cs.CV2025
Multi-Stage Graph Neural Networks for Data-Driven Prediction of Natural Convection in Enclosed Cavities
Mohammad Ahangarkiasari, Hassan Pouraria
Buoyancy-driven heat transfer in closed cavities serves as a canonical testbed for thermal design High-fidelity CFD modelling yields accurate thermal field solutions, yet its relia…