Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...
ABSTRACT: The purpose of this study was to establish the mediating role of job satisfaction (JS) in the relationship between job involvement (JI) and psychological well-being (PWB). A cross-sectional ...
Introduction The Trauma Recovery Center (TRC) is an evidence-based model of care designed to meet the needs of underserved survivors of violent crime through the provision of comprehensive mental ...
Abstract: This article presents a learning model predictive control (LMPC) method for nonlinear systems with additive state-dependent uncertainties. Both the residual part of the system and the ...
The ability to anticipate future events continuously is a hallmark of biological vision, yet standard deep learning models often struggle with long-term coherence due to the rigid discretization of ...
This workshop provides an introduction to multilevel modelling using the MLwiN, Stata or R software. Closing date for applications is 17th May 2026.
Abstract: Event logs record the execution of business processes as sequences of timestamped events. Most predictive process monitoring methods still learn a separate model per log: when the process, ...
ABSTRACT: Despite the critical role teachers play in shaping educational outcomes, increasing workload and burnout remain pervasive challenges that threaten their wellbeing and job satisfaction, ...