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Knowledge Transfer, Alignment, and Interpretability : Modular Architectures and Inductive Biases in Deep Reinforcement Learning

Matrix Pencils : Canonical forms and perturbation theory

Canonical forms provide a fundamental framework for studying matrices and matrix pencils through invariants under various equivalence transformations. These forms reveal structural information about the underlying objects, such as eigenvalues, their multiplicities, and minimal indices. This information plays an important role in differential-algebraic equations, control theory, generalized…

Silent Rage : Understanding and Treating Maladaptive Anger Inhibition

Robust 3D perception and obstacle avoidance in all-weather conditions

Aspects of multimorbidity in patients with COPD

Learning and supervision in the operating room : Student nurse anesthetists’ and supervisors’ perspectives, practices and conditions for clinical learning

Workplace Violence in the Ambulance Service - Incidence and perspectives of personnel and offenders

A Machine Learning Approach to Optimize Energy Consumption in Residential buildings

In the domain of building energy systems, many district heating control strategies rely on simplistic approaches that fail to account for the unique thermal characteristics of individual buildings. Traditional district heating control methods apply generic linear relationships between outdoor and supply temperatures, disregarding the significant variations in building-specific factors such as…

”Finprat" och ”mysrom” : Värmländska gymnasieungdomars dialektala språkbruk och ställesskapande i yrkesförberedande skolmiljö

This is a study of dialect use, place-making, and metalinguistic practices in a vocational upper secondary school in the province of Värmland, located in the west-central part of Sweden. The study draws on linguistic-ethnographic fieldwork in four classes at three vocational programs: the Health and Social Care Program, the Electrical and Energy Program, and the Industrial Technology Program. The…

Computed tomography in urolithiasis : from prediction models to photoncounting CT