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 …

Abstract Background Dermoscopy is known to increase the diagnostic accuracy of pigmented skin lesions (PSLs) when used by trained professionals. The effect of dermoscopy training on the diagnostic ability of dermal therapists (DTs) has not been studied so far. Objectives This study aimed to investigate …

This study addresses the burgeoning global shortage of healthcare workers and the consequential overburdening of medical professionals, a challenge that is anticipated to intensify by 2030 [1]. It explores the adoption and perceptions of AI-powered mobile medical applications (MMAs) by physicians in …

There is an ongoing transition towards renewable energy sources in order to combat climate change. National power grids are suffering due to the rapid introduction of new energy sources and have other disadvantages. Local Energy Systems (LESs) are a beneficial example of an off-grid energy systems that …

This research investigates the potential and challenges of using artificial intelligence, specifically the ChatGPT-4 model developed by OpenAI, in grading and providing feedback in an educational setting. By comparing the grading of a human lecturer and ChatGPT-4 in an experiment with 105 students, …

In this enlightening episode, Daniel provides an in-depth look into the multifaceted world of cybersecurity, especially for small and medium enterprises. He challenges the common misconception of entirely outsourcing cybersecurity responsibilities and emphasizes the importance of a holistic approach. …

In this episode of “Learning to Think Like a Cyber Security Specialist,” we explore how investing in Security and Privacy is crucial for building trust with clients. We contrast different company approaches to handling personal data, from transparent and protective to invasive and careless. The episode …

Episode 3, “Trust but Verify,” underscores the importance of vigilance in digital communication. It reveals how easily emails and messages can be manipulated, showcasing the deceptive art of spoofing—from altering email histories to faking caller IDs. The episode stresses that digital communications, …

With the proliferation of misinformation on the web, automatic methods for detecting misinformation are becoming an increasingly important subject of study. If automatic misinformation detection is applied in a real-world setting, it is necessary to validate the methods being used. Large language models …

This research demonstrates the power and robustness of the vocabulary method by Hernández-Rubio et al. (2019) for aspect extraction from online review data. We showcase that this algorithm not only works on the English language based on the CoreNLP toolkit, but also extend it on the Dutch language, specifically …