Results 191 to 200 of about 850,977 (257)

Connectivity Structure and Dynamics of Nonlinear Recurrent Neural Networks. [PDF]

Phys Rev X
Clark DG, Marschall O, van Meegen A, Litwin-Kumar A.   +3 more
europepmc   +1 more source

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, Aadil Raza   +3 more
wiley   +1 more source

Bayesian machine learning enables discovery of risk factors for hepatosplenic multimorbidity related to schistosomiasis. [PDF]

Nat Commun
Zhi YC, Anguajibi V, Oryema JB, Nabatte B, Opio CK, Kabatereine NB, Chami GF.   +6 more
europepmc   +1 more source

ECG‐TransCovNet: A hybrid transformer model for accurate arrhythmia detection using Electrocardiogram signals

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Abnormalities in the heart's rhythm, known as arrhythmias, pose a significant threat to global health, often leading to severe cardiac conditions and sudden cardiac deaths. Therefore, early and accurate detection of arrhythmias is crucial for timely intervention and potentially life‐saving treatment.
Hasnain Ali Shah, Faisal Saeed, Muhammad Diyan, Nouf Abdullah Almujally, Jae‐Mo Kang   +4 more
wiley   +1 more source

A hybrid model for image forgery detection using deep learning with block and keypoint methods. [PDF]

Sci Rep
Mehrjardi FZ, Zarchi MS.
europepmc   +1 more source

A Novel Single‐Encounter‐Emphasise‐Attention Neural Network for Predictive Maintenance in Urban Infrastructure

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The Riyadh Metro represents a significant project in Saudi Arabia, designed to transform urban transportation and reduce traffic congestion within the city. With six metro lines and 85 stations, the network is expected to serve millions of passengers daily, necessitating innovative digitally driven maintenance approaches to ensure reliable ...
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley   +1 more source

Comparison of deep and conventional machine learning methods in predicting joint moments in patients with cerebral palsy. [PDF]

Med Biol Eng Comput
Özates ME, Salami F, Wolf SI, Arslan YZ.   +3 more
europepmc   +1 more source

An efficient wave‐optics framework for partially coherent pink X‐ray beam simulation and analysis

Journal of Synchrotron Radiation, EarlyView.
This article proposes a new calculation method and framework for simulating a pink X‐ray beam, significantly improving computational efficiency. By comparing it with the experimental data from the beamline, the simulation method is consistent with the actual situation.The advent of fourth‐generation synchrotron radiation sources has enabled advanced ...
Shuo Wang, Han Xu, Liang Zhou, Ming Li
wiley   +1 more source

The dynamical Ising-Kac model in 3D converges to Φ 3 4. [PDF]

Probab Theory Relat Fields
Grazieschi P, Matetski K, Weber H.
europepmc   +1 more source

One‐Class Autoencoders for Porcelain Art Attribution: The Case of William Billingsley

Archaeometry, EarlyView.
ABSTRACT This comprehensive study explores the application of advanced machine learning techniques, specifically one‐class autoencoders, for the authentication and attribution of English porcelain artworks. Focusing primarily on the works of William Billingsley (1758–1828), one of England's most celebrated porcelain decorators, we demonstrate how ...
Hassan Ugail, Morgan Denyer, Rachel Denyer, Howell Edwards   +3 more
wiley   +1 more source