Here, we delve into Demand Forecasting via Machine Learning, dissecting how to predict future demand using time-sensitive data. Westveer highlights key forecasting models, from the basic Simple Exponential Smoothing to the advanced SARIMA, applied to an electricity production dataset. The session, encapsulating …

Human Resource Development (HRD) finds itself at a critical juncture given the rapidly changing landscape of work and a shift of focus in HRD research and practices. This provides momentum for the HRD discipline to explore new models of workplace learning that exceed the boundaries of one’s own organization. …

The paper introduced an automatic score detection model using object detection techniques. The performance of sevenmodels belonging to two different architectural setups was compared. Models like YOLOv8n, YOLOv8s, YOLOv8m, RetinaNet-50, and RetinaNet-101 are single-shot detectors, while Faster RCNN-50 …

End-stage kidney disease patients treated with conventional hemodialysis (CHD) are known to have impaired physical performance and protein-energy wasting (PEW). Nocturnal hemodialysis (NHD) was shown to improve clinical outcomes, but the evidence is limited on physical performance and PEW. We investigate …

This article provides insight into the motivation of young women to join the armed forces and to choose a career in the military. This insight explains why women are still underrepresented in the Netherlands armed forces and can optimize future recruitment programs. An online Dutch questionnaire was …

Intelligence studies missed social science’s “complexity turn” more than twenty years ago. The aim of this article is to examine military intelligence from a complexity science perspective and discuss related concepts such as sensemaking and reflexivity. For this, military and intelligence theory, doctrine, …

This paper presents a Decision Support System (DSS) that helps companies with corporate reputation (CR) estimates of their respective brands by collecting provided feedbacks on their products and services and deriving state-of-the-art key performance indicators. A Sentiment Analysis Engine (SAE) is at …

Concerns have been raised over the increased prominence ofgenerative AI in art. Some fear that generative models could replace theviability for humans to create art and oppose developers training generative models on media without the artist's permission. Proponents of AI art point to the potential increase …

This book analyses the values and processes that characterise DIY (do it yourself) digital infrastructure, relating networked initiatives to broader tensions in contemporary alternative media production, namely between ideology and practice in cultural and artistic networked initiatives. Adopting immersive …

This paper presents a comprehensive study on assisting new AI programmers in making responsible choices while programming. The research focused on developing a process model, incorporating design patterns, and utilizing an IDE-based extension to promote responsible Artificial Intelligence (AI) practices. …