Results 221 to 230 of about 118,488 (274)

DGM: deep graph clustering with mincut for analysis of single-cell transcriptomics. [PDF]

BMC Genomics
Liu X, Chen X, Yang W, Yu Y.
europepmc   +1 more source

A CNN Approach for Simultaneous Spatiotemporal Fault Interpretation

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Convolutional Neural Networks (CNNs) have emerged as one of the most effective tools for image analysis. In this study, we propose a custom‐designed CNN architecture to construct a process control scheme based on image data. The product image is partitioned into equal‐sized grids, each comprising three channels: (i) reference image, (ii ...
Hamed Sabahno
wiley   +1 more source

EconoGNN: A graph neural network framework for temporal economic resilience insights. [PDF]

PLoS One
Araujo M, Rodrigues F, Sousa E.
europepmc   +1 more source

Integrated LEO Constellation and In‐Cabin Distribution System for Continuous Aircraft 5G Connectivity

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT The integration of low Earth orbit (LEO) satellite constellations with commercial aircraft communication systems presents critical challenges in maintaining continuous connectivity during dynamic flight conditions. Current geostationary satellite systems suffer from high round‐trip latency (>$$ > $$ 500 ms) and inadequate coverage at high ...
Raúl Parada, Victor Monzon Baeza, Carlos Horcajo Fernández de Gamboa, Rocío Serrano Camacho, Carlos Monzo   +4 more
wiley   +1 more source

Hybrid CNN-GCN framework for brain tumor MRI classification: A graph-based approach to smart healthcare diagnostics. [PDF]

J Appl Clin Med Phys
Alkasasbeh MS, Ibnaouf KH, Ahmed NM, Rahman AA, Abbas DN, Al Tawil A, Idriss H, Alkasasbeh HT.   +7 more
europepmc   +1 more source

From Prediction to Prevention: An Explainable GeoAI Framework for Flood Susceptibility and Urban Exposure Assessment Using Machine and Deep Learning Models

Sustainable Development, EarlyView.
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella, Izni Zahidi, Chow Ming Fai, Chukwuma Okolie, Quoc Bao Pham   +4 more
wiley   +1 more source

STAC-Net: A hierarchical framework for modeling and predicting urban traffic flow with uncertainty quantification. [PDF]

PLoS One
Yan Z, Cai B.
europepmc   +1 more source

An electroencephalography sleep staging model based on bidirectional Mamba combining synergistic attention with interactive convolution

Sleep Research, EarlyView.
Abstract Background This study presents SIMSleepSM, a novel single‐channel electroencephalography (EEG) sleep staging model. It addresses two primary challenges: insufficient modeling of long‐range temporal dependencies combined with limited multi‐scale feature extraction, and poor accuracy in identifying the N1 stage.
Ya‐mei Xu, Ding‐Yuan An
wiley   +1 more source

A data-driven approach for risk assessment and material identification of buried objects using microwave measurements and neural networks. [PDF]

Sci Rep
Yarımay G, Bayat İH, Doğu S, Akduman İ.   +3 more
europepmc   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source