ABSTRACT Although the use of AI technologies (e.g., chatbots and automated writing evaluations (AWE)) has gained considerable attention in language learning fields in recent years, how AI technologies have been designed and implemented in language learning education, as well as their effectiveness, is understudied.
Shen Qiao +2 more
wiley +1 more source
A New Siamese Network Loss for Cattle Facial Recognition in a Few-Shot Learning Scenario
This study explores the use of a Siamese neural network architecture to enhance classification performance in few-shot learning scenarios, with a focus on bovine facial recognition.
João Porto +8 more
doaj +1 more source
The Impact of AI‐Assisted L2 Learning on Learners’ Emotions: A Meta‐Analysis
ABSTRACT The scope of research on AI‐assisted second/foreign language (L2/FL) learning has expanded beyond learning outcomes to focus on learners’ emotional experiences. Despite their proliferation, existing empirical findings are inconsistent, and few studies have systematically synthesized the impacts of AI‐assisted L2 learning on learners’ emotional
Jiaqi Jing +4 more
wiley +1 more source
Cross-domain few-shot learning based on pseudo-Siamese neural network. [PDF]
Gong Y, Yue Y, Ji W, Zhou G.
europepmc +1 more source
A Horse Race of Machine‐Learning Methods to Predict Banking Crises
ABSTRACT To examine if one machine‐learning model can consistently elucidate financial vulnerabilities, both over time and across levels of development, this paper applies 13 machine‐learning algorithms to evaluate comparative forecasting performance across several banking crises.
Emile du Plessis
wiley +1 more source
Artificial Intelligence Technologies in Nursing Clinical Decision‐Making: An Umbrella Review
ABSTRACT Aim To describe contemporary peer‐reviewed literature on artificial intelligence in nurses' clinical decision‐making. Methods An umbrella review of literature reviews. Data Sources Four major databases were searched for reviews published between 2019 and 2024.
Robyn Cant, Colleen Ryan, Ritesh Chugh
wiley +1 more source
Fish welfare in a changing world: New developments and current challenges
Abstract The welfare of non‐human animals is central to ethical discussions on animal use, with increasing attention to fish welfare across research, aquaria, aquaculture, and fisheries. This paper reviews current theoretical approaches to animal welfare and recent advances in defining and assessing fish welfare since the seminal paper by Huntingford ...
Sonia Rey Planellas +16 more
wiley +1 more source
Autonomous face mask detection using single shot multibox detector, and ResNet-50 with identity retrieval through face matching using deep siamese neural network. [PDF]
Vignesh Baalaji S +5 more
europepmc +1 more source
An Umbrella Review of Artificial Intelligence Applications in Mental Health Care
ABSTRACT Background Artificial intelligence (AI) is increasingly used in mental health care to address rising demand, workforce shortages and access barriers; however, evidence remains scattered across multiple systematic reviews, limiting synthesis and practical application.
Jonathan Odame +6 more
wiley +1 more source
ASNet: Auto-Augmented Siamese Neural Network for Action Recognition. [PDF]
Zhang Y +4 more
europepmc +1 more source

