Within Human Activity Recognition (HAR), there is an insurmountable gap between the range of activities performed in life and those that can be captured in an annotated sensor dataset used in training. Failure to properly handle unseen activities seriously undermines any HAR classifier's reliability. …

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, …

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 …

In this abstract we describe a computational approach for detecting discursive patterns in social media. Newsrooms of municipalities and public organizations such as the police follow public debate on social media to be aware of and prepare for local and global issues and rumors. The onset of these issues …

Aims: To detect differences in speech fluency in separate primaryprogressive aphasia syndromes (PPA) using automated analysistechniques. The resulting linguistic features are evaluated for theiruse in a predictive model to identify common patterns in speakerswith PPA. As fluency is observable in audio …

Objective: Acknowledging study limitations in a scientific publication is a crucial element in scientific transparency and progress. However, limitation reporting is often inadequate. Natural language processing (NLP) methods could support automated reporting checks, improving research transparency. …

This study investigated a seven sessions interaction between a peer-tutor robot and Dutch preschoolers (5 years old) during which the children learned English. We examined whether children’s engagement differed when interacting with a tablet and a robot using iconic gestures, with a tablet and a robot …

Background: Manual muscle mass assessment based on Computed Tomography (CT) scans is recognized as a good marker for malnutrition, sarcopenia, and adverse outcomes. However, manual muscle mass analysis is cumbersome and time consuming. An accurate fully automated method is needed. In this study, we evaluate …

The goal of this study was to develop an automated monitoring system for the detection of pigs’ bodies, heads and tails. The aim in the first part of the study was to recognize individual pigs (in lying and standing positions) in groups and their body parts (head/ears, and tail) by using machine learning …

Objective: To annotate a corpus of randomized controlled trial (RCT) publications with the checklist items of CONSORT reporting guidelines and using the corpus to develop text mining methods for RCT appraisal. Methods: We annotated a corpus of 50 RCT articles at the sentence level using 37 fine-grained …