Results 181 to 190 of about 120,954 (265)
The Journal of Physiology, EarlyView.Abstract figure legend This study aimed to develop a non‐invasive method for visualizing the cardiorespiratory network under baseline conditions and following isolated or combined exposure to hypoxia, exercise, and sleep deprivation. Twenty‐two healthy participants underwent assessments at rest and after normobaric hypoxia (FIO2${{F}_{{\mathrm{I ...
Cecilia Morandotti +10 more
wiley +1 more source
AI Magazine, Volume 47, Issue 2, Summer 2026.Abstract AI systems are rapidly transitioning from laboratory demonstrations to decision‐making technologies deployed in high‐stakes domains. Yet reliability remains a primary obstacle to responsible adoption: discriminative models can be confidently wrong under out‐of‐distribution (OOD) inputs, and foundation models (FMs) such as large language models
Sean Du
wiley +1 more source
Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke, 2022 openaire +1 more source
Inter‐Model Feature Fusion for Robust Low‐Resource Speech Recognition
Applied AI Letters, Volume 7, Issue 2, June 2026.Our Self‐Supervised Feature Fusion (SSF‐FT) method enhances low‐resource speech recognition by adaptively combining features from self‐supervised models trained with Contrastive, Predictive, and Reconstruction objectives. This attention‐weighted ensemble delivers robust performance, particularly in acoustically challenging conditions, extending current
Ussen Kimanuka +2 more
wiley +1 more source
A survey of how biology researchers assess credibility when serving on grant and hiring committees. [PDF]
PeerJHrynaszkiewicz I +4 more
europepmc +1 more source
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
Applied AI Letters, Volume 7, Issue 2, June 2026.This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source
Improving Clarity and Impact in JMI. [PDF]
J Med Imaging (Bellingham)Landman BA.
europepmc +1 more source
Applied AI Letters, Volume 7, Issue 2, June 2026.In this work, we have performed human‐based evaluation of three post hoc explainability techniques, Local Interpretable Model Agnostic Explanations (LIME), Shapely Additive Explanations (SHAP), and integrated Gradients (IG) for a multilingual Bidirectional Encoder Representations from Transformers (mBERT) based binary and multi‐label misogyny ...
Sargam Yadav +2 more
wiley +1 more source
Applied AI Letters, Volume 7, Issue 2, June 2026.DepthPark is a cost‐effective indoor parking management system that uses monocular cameras, two fixed cameras, and one mobile camera per parking lane, together with deep learning. By combining license plate recognition, parking‐slot classification, and single‐frame depth estimation, the system enables real‐time occupancy monitoring and parking ...
Lakshay Naresh Ramchandani +1 more
wiley +1 more source
The Rise of Human–Computer Integration in Marketing: A Theory Synthesis
Psychology &Marketing, Volume 43, Issue 6, Page 1343-1380, June 2026.ABSTRACT Human–computer integration (HCInt) technologies, which merge human bodily, cognitive, and sensory functions with computational processes, are reshaping the foundations of consumer experience. Unlike traditional human–computer interaction, HCInt entails adaptive and reciprocal coupling through AI‐driven augmentation, wearables, muscle–computer ...
Carlos Velasco +5 more
wiley +1 more source