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Designing for Intimate Wellbeing: Aidee, a Qualitative Approach To Urine Home Monitoring

Validation and Application of Hysteresis Loss Model for HTS Stacks and Conductors for Fusion Applications

Seismic Testing of Adjacent Interacting Masonry Structures – Analysis of a Blind Prediction

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Robust machine learning for neuroscientific inference

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Spectral Estimators for High-Dimensional Matrix Inference

Autorepression of yeast Hsp70 cochaperones by intramolecular interactions involving their J-domains

Reducing uncertainties in response predictions of earthquake-damaged masonry buildings using data from image-based inspection

Data-Driven Control Synthesis using Koopman Operator: A Robust Approach