Results 81 to 90 of about 72,269 (161)
ABSTRACT Background and Aims The delivery of consistent and comprehensive rehabilitation care for Cerebral Palsy (CP) patients, particularly in limited‐resource settings, faces significant structural, geographical, and economic barriers. The aim of the current study was to identify and finalize, through expert consensus, the functional and non ...
Faridokht Salahshoori +4 more
wiley +1 more source
No App, No Entry: Conceptualizing Digital Technology Captivity in Service Access
ABSTRACT We introduce Digital Technology Captivity (DTC), a form of consumer vulnerability that arises when digital technologies become the mandatory gateway to essential services. When access is tied to systems that feel unfamiliar, complex, or intimidating—and when preferred alternatives are limited—consumers may experience heightened vulnerability ...
Carolyn Wilson‐Nash +4 more
wiley +1 more source
This study introduces a federated learning‐based system for real‐time cattle health and stress detection using smart farming sensors. It preserves data privacy and reduces latency by training models on edge devices. Combining LSTM and CNN, it achieves 93.1% accuracy, enabling early illness detection and promoting sustainable livestock management ...
Vineeta Gulati +4 more
wiley +1 more source
LLM‐based keyword augmentation for title‐driven evidence selection: A practical approach
Abstract Keyword‐based search is widely used in digital forensic investigations, yet its effectiveness depends strongly on investigator experience, leading to inconsistent results and missed evidence. While previous studies have explored machine learning and large language models (LLMs) to address this, practical deployment is often constrained by ...
Sanghyun Yoo, Doowon Jeong
wiley +1 more source
ABSTRACT Objectives Smartphone apps facilitate the dissemination of resources to help people with bipolar disorder (BD) implement self‐management strategies. However, current apps do not address all treatment outcomes valued by people with BD, nor are they designed with scalability in mind.
Erin E. Michalak +5 more
wiley +1 more source
Abstract This paper presents findings from a quasi‐experimental difference‐in‐difference study on three different implementation modalities of the same EdTech intervention, implemented in Pujehun district in Sierra Leone. It offers a critical discussion of the impact of two different personalised modalities and one non‐personalised modality on literacy
Annette Zhao +6 more
wiley +1 more source
ABSTRACT As a rapidly evolving sub‐field of computer‐assisted language learning, informal digital learning of English (IDLE) has become a significant catalyst for linguistic, affective, and pedagogical development among English as a second language (L2) learners.
Yue Zhang
wiley +1 more source
ABSTRACT As service robots move from factory floors to frontline service encounters, their success increasingly depends on the quality of customer‐robot interaction (CRI). Existing studies, however, remain fragmented and predominantly grounded in linear technology adoption models, offering limited insight into the dynamic and reciprocal nature of CRI ...
Long Pham +2 more
wiley +1 more source
NetworkGuard: An Edge-Based Virtual Network Sensing Architecture for Real-Time Security Monitoring in Smart Home Environments. [PDF]
El Khaled D +3 more
europepmc +1 more source
Optimized Deep Learning‐Based Cabbage Stem Detection and Depth Classification
A deep learning‐based approach using YOLOv5 enables accurate cabbage stem detection and depth classification, supporting efficient and automated cabbage processing applications. ABSTRACT In food industry, removing the nonedible parts causes reduction of production efficiency due to its heavily labor‐intensive process with a lot of loss of the edible ...
Tae Hyong Kim +3 more
wiley +1 more source

