This paper addresses the challenge faced by call center operators supporting family members of individuals with Substance Use Disorders (SUDs), particularly the difficulty of detecting emotional distress in callers during high-pressure interactions. We developed a lightweight, real-time Speech Emotion …

The illegal production of synthetic drugs in clandestine laboratories is an emerging threat within the European Union, necessitating improved methods for law enforcement agencies to locate these illegal sites. Combining gas chromatography and ion mobility spectrometry is a promising technology for reliably …

Background & aim Adequate protein intake is essential during recovery from illness to prevent complications such as malnutrition, sarcopenia, and delayed wound healing. Mobile applications may support self-monitoring and early detection of inadequate intake. This study evaluated the concurrent validity …

Sewer pipe defects pose a serious challenge for municipalities, as delayed detection leads to costly repairs and service disruptions. Timely inspection is therefore essential, yet current practice relies on manual video review, which is labor-intensive and subjective. Computer vision offers automation, …

We present GarpN, a software tool designed to integrate qualitative and quantitative modelling. GarpN has three functionalities: translating a qualitative representation into a quantitative model, running numerical simulations and detecting quantitative states, and matching these states to their qualitative …

This study presents an automated method for detecting and measuring the apex head thickness of tomato plants, a critical phenotypic trait associated with plant health, fruit development, and yield forecasting. Due to the apex's sensitivity to physical contact, non-invasive monitoring is essential. This …

The increasing prevalence of antimicrobial-resistant (AMR) bacteria in humans, animals, and the environment underscores the necessity for a rapid, sensitive, and specific method to identify resistance genes. Objectives: This study aims to develop a reliable detection tool for identifying the tetracycline-resistant …

Academic cheating poses a significant challenge to conducting fair online assessments. One common way is collusion, where students unethically share answers during the assessment. While several researchers proposed solutions, there is lack of clarity regarding the specific types they target among the …

In this paper, we provide a concrete case study to better steer corporate reputation management in the light of recent proliferation of AI-generated product reviews. Firstly, we provide a systematic methodology for generating high quality AI-generated text reviews using pre-existing human written reviews …

"The energy transition will only succeed if organizations invest in human capital as much as in technology. This article examines the organizational challenges of training and reskilling in a fast-changing technological and regulatory environment. Drawing on recent European projects in the port sector, …