Results 141 to 150 of about 18,710 (282)

Cortical dynamics of cold exposure and thermal recovery: Evidence from EEG‐based spatiotemporal analysis

Experimental Physiology, EarlyView.
Abstract Human thermal perception involves complex and dynamic interactions between peripheral input and central neural regulation. However, the spatial and temporal characteristics of brain responses to different cold exposure scenarios remain poorly understood. In this study, we combined traditional analysis with AI‐based anomaly detection to examine
Qing Zhang, Hetian Feng, Tian Liu, Jiaqi Zhou, Jingya Zheng, Junzhao Zhang, Li Ding, Jiachen Nie   +7 more
wiley   +1 more source

History bias and its perturbation of the stimulus representation in the macaque prefrontal cortex

The Journal of Physiology, EarlyView.
Abstract figure legend During the execution of a distance discrimination task, we observed an interference from the most recently presented S2 stimulus on the current‐trial performance represented in the figure as weight on the arm of a balance. Specifically there was an attraction of the perceived magnitude of the first stimulus S1 towards the ...
Danilo Benozzo, Lorenzo Ferrucci, Francesco Ceccarelli, Aldo Genovesio   +3 more
wiley   +1 more source

Leveraging Machine Learning Classifiers in Transfer Learning for Few-Shot Modulation Recognition. [PDF]

Sensors (Basel)
Li S, Wang Y, Xiong J, Wang X.
europepmc   +1 more source

Transferability of radiomics models between deep learning and conventional CT reconstruction algorithms: A task‐based assessment for stratifying acute pancreatitis severity

Journal of Applied Clinical Medical Physics, Volume 27, Issue 4, April 2026.
Abstract Background Extensive evidence has demonstrated the superior image quality achieved through deep learning‐based reconstruction algorithms. However, given their growing adoption in clinical imaging, the impact of these algorithms on radiomics model development warrants thorough investigation.
Xiaobao Hu, Xiao Liang, Zhongren Huang, Yanyan Zhu, Mengya Guo, Zhihua Wu, Fuqing Zhou   +6 more
wiley   +1 more source

Distinguishing Between Healthy and Unhealthy Newborns Based on Acoustic Features and Deep Learning Neural Networks Tuned by Bayesian Optimization and Random Search Algorithm. [PDF]

Entropy (Basel)
Lahmiri S, Tadj C, Gargour C.
europepmc   +1 more source

Watching Together, Yet Feeling Apart: Interpersonal Neural Synchronization as a Marker of Symptom Severity in Children With Autism Spectrum Disorder During Naturalistic Viewing

Human Brain Mapping, Volume 47, Issue 5, 1 April 2026.
Overview of the Experimental Paradigm, fNIRS Data Acquisition, and Analytical Framework. ABSTRACT Social interaction impairments in autism spectrum disorder (ASD) have been widely attributed to deficits in empathy, including both cognitive and affective components. However, the underlying neural mechanisms remain incompletely understood. In the current
Jieqiong Liu, Yan Wu, Zijing Wang, Yujiao Deng, Zhijuan Jin, Xiaoning Sun, Yanrui Jiang, Guangshuai Wang, Mingming Zhang, Fan Jiang, Guanghai Wang   +10 more
wiley   +1 more source

Enhanced classification prostate cancer based on generative adversarial networks and integrated deep learning with vision transformer models. [PDF]

Sci Rep
Salama WM, Aly MH.
europepmc   +1 more source

Exploring Transfer Learning's Impact on the Explainability of Deep Learning Models for Wastewater Treatment Plants' Biogas Production

Expert Systems, Volume 43, Issue 4, April 2026.
ABSTRACT The growing reliance on fossil fuels for energy generation has raised concerns about their significant contribution to global warming and the associated risks of supply instability. Anaerobic Digestion (AD) within Wastewater Treatment Plants (WWTPs) offers a renewable alternative by producing biogas, while effective operational optimisation ...
Pedro Oliveira, Afonso Bessa, João Pereira, Sérgio Silva, Maria Salomé Duarte, Dalila Durães, Paulo Novais   +6 more
wiley   +1 more source

Enhanced Gas Classification in Electronic Nose Systems Using an SMOTE-Augmented Machine Learning Framework. [PDF]

Sensors (Basel)
Li M, Wu C, Wang Z, Wu Z, Huang W, Chen J, Yu K, Wen T, Yin H, Wang Z.   +9 more
europepmc   +1 more source

Micropatterned Biphasic Printed Electrodes for High‐Fidelity on‐Skin Bioelectronics

Advanced Functional Materials, Volume 36, Issue 18, 2 March 2026.
Micropatterned biphasic printed electrodes achieve unprecedented skin conformity and low impedance by combining liquid‐metal droplets with microstructured 3D lattices. This scalable approach enables high‐fidelity detection of ECG, EMG, and EEG signals, including alpha rhythms from the forehead, with long‐term comfort and stability.
Manuel Reis Carneiro, Telmo Lopes, André F. Silva, Carmel Majidi, Mahmoud Tavakoli   +4 more
wiley   +1 more source