Results 81 to 90 of about 379 (188)

Dual-Path Convolutional Neural Network with Squeeze-and-Excitation Attention for Lung and Colon Histopathology Classification. [PDF]

J Imaging
AlShehri H.
europepmc   +1 more source

Explainable Artificial Intelligence to Predict Neurocognitive Disorder Progression in Multiple Sclerosis Using MRI and Clinical Data

European Journal of Neurology, Volume 33, Issue 5, May 2026.
This study combined clinical, demographic, and MRI data from 224 multiple sclerosis (MS) patients using an explainable hybrid deep learning model to assess the prevalence of Mild and Major Neurocognitive Disorders and predict future cognitive decline. The model showed high accuracy (AUC = 0.89) and low uncertainty, identifying cortical and frontal lobe
Loredana Storelli, Damiano Mistri, Alice Mastropasqua, Marta Grosselle, Paolo Preziosa, Lucrezia Rossi, Massimo Filippi, Maria A. Rocca   +7 more
wiley   +1 more source

Printed sensing human-machine interface with individualized adaptive machine learning. [PDF]

Sci Adv
Wang G, Tang Y, Luo X, Lu S, Zhou Y, Lu Y, Sun G, Liu P, Ning J, Jiang H, Hu K, Liu H, Song W, Yu Y.   +13 more
europepmc   +1 more source

Imbalance‐Aware Credit Card Fraud Detection Using Multi‐Autoencoders and Generative Ensemble Learning

Expert Systems, Volume 43, Issue 5, May 2026.
ABSTRACT Credit card fraud detection remains a challenging research problem due to the class imbalance issue caused by the rarity of fraudulent transactions. Classical oversampling techniques such as SMOTE, ADASYN and their variants help balance data but do not reflect the nonlinear structure of real‐world fraud, leading to poor generalization.
Sultan Alharbi, Khalid Alahmadi, Xianzhi Wang   +2 more
wiley   +1 more source

AI-powered knowledge organization: a next-generation approach to library classification using DeepSeek-R1. [PDF]

Sci Rep
Feng N.
europepmc   +1 more source

A Hardware Implementation of the Soft Output Viterbi Algorithm for Serially Concatenated Convolutional Codes

, 2010
Brett William Werling
openalex   +1 more source

S2‐PepAnalyst: A Web Tool for Predicting Plant Small Signalling Peptides

Plant Biotechnology Journal, Volume 24, Issue 5, Page 3244-3260, May 2026.
ABSTRACT Small signalling peptides (SSPs) serve as crucial mediators of cell‐to‐cell communication in plants, orchestrating diverse physiological processes from development to stress responses. While recent advances in sequencing technologies have improved genome annotation, the identification of novel SSPs remains challenging due to their small size ...
Kelly L. Vomo‐Donfack, Mariem Abaach, Ana M. Luna, Grégory Ginot, Verónica G. Doblas, Ian Morilla   +5 more
wiley   +1 more source

Vision and convolutional transformers for Alzheimer's disease diagnosis: a systematic review of architectures, multimodal fusion and critical gaps. [PDF]

Brain Inform
Afifi I, Elgendy M, Abdelfatah M, El-Sappagh S.   +3 more
europepmc   +1 more source

SeisMoLLM: Advancing Seismic Monitoring via Cross‐Modal Transfer With Pretrained Large Language Model

Geophysical Research Letters, Volume 53, Issue 8, 28 April 2026.
Abstract Recent advances in deep learning have transformed seismic monitoring, yet most existing methods remain task‐specific and data‐limited, restricting performance on challenging scenarios and generalization to unseen data. Large‐scale pretraining has addressed similar limitations in other fields, but its application to seismic data faces ...
Wang Xinghao, Feng Liu, Rui Su, Zhihui Wang, Lihua Fang, Lianqing Zhou, Lei Bai, Wanli Ouyang   +7 more
wiley   +1 more source

Joint Mainlobe and Sidelobe Jamming Mitigation via Randomized Intra-Group Subcarrier Selection in MDFH Systems. [PDF]

Sensors (Basel)
Yang L, Ding D, Cai Y, Han R, Zhang W, Zhang M, Zhang X.   +6 more
europepmc   +1 more source