Results 81 to 90 of about 247,960 (211)
Design of experimental study for the AE-DNNs.
, 2019 Steps 1-7 (green line) represent model training, and steps 8-13 (blue line) show model evaluation. KNHANES, Korea national health and nutrition examination survey; AE, autoencoder; RE, reconstruction error; DNN, deep neural network; CHD, coronary heart ...
Jong Yun Lee (8087834) +3 more
core +1 more source
Concurrency and Computation: Practice and ExperienceSummaryUnknown cyber‐attack detection in network traffic streams is challenging but crucial to ensure network security. It is observed that new security threats occur on a daily basis and make cyberspace vulnerable. In the literature, machine learning and deep learning‐based network intrusion detection systems have gained a lot of success but still ...
Khushnaseeb Roshan, Aasim Zafar
openaire +2 more sources
Engineering Science and Technology, an International JournalBreast cancer is the most diagnosed cancer among women worldwide. Early detection substantially improves treatment outcomes, especially when lesions are small and localized.
Burcu Acar Demirci +2 more
doaj +1 more source
Engineering Reports, Volume 8, Issue 10, October 2026.This paper reviews recent advances in hybrid deep learning for intelligent fault diagnosis of rotating machinery, focusing on GAN‐ and CNN‐based architectures and their specialized variants. Hybrid GAN‐CNN methods are categorized into three groups: (1) optimized original GANs with CNN variants, (2) improved GAN architectures integrated with CNNs, and ...
Temesgen Tadesse Feisa +7 more
wiley +1 more source
Exploring Autoencoder-based Error-bounded Compression for Scientific Data [PDF]
, 2023 Error-bounded lossy compression is becoming an indispensable technique for the success of today's scientific projects with vast volumes of data produced during simulations or instrument data acquisitions.
Liu, Jinyang +7 more
core
Frontiers in PhysicsChain information management system is widely used, providing convenience for the operation and management of enterprises. However, the problem of abnormal network traffic becomes increasingly prominent currently.
Chao Liu, Chunxiang Liu, Changrong Liu
doaj +1 more source
Rare Metals, Volume 45, Issue 10, October 2026.ABSTRACT Surface‐enhanced Raman scattering (SERS) has emerged as a highly sensitive and specific technique for tumor imaging, owing to its narrow spectral features, resistance to photobleaching, and capability for multiplexed detection. However, its clinical translation remains limited by poor tissue penetration and the absence of intrinsic anatomical ...
Xinyu Miao +7 more
wiley +1 more source
Deterministic Switching‐Path Engineering of CMOS‐Integrated 2D Memristors for Neuromorphic Computing
Small, Volume 22, Issue 59, 22 October 2026.Deterministic grain‐boundary engineering in 2D MoTe2 defines resistive switching paths, while CMOS transistors impose gate‐tunable current compliance in a monolithically integrated 1T–1 M array. The resulting artificial synapses show stable, linear, and low‐variation analog weight updates, illustrating how materials‐level defect control can be ...
Jihoon Yang +12 more
wiley +1 more source
CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion [PDF]
, 2023 Electroencephalography (EEG) is a prominent non-invasive neuroimaging technique providing insights into brain function. Unfortunately, EEG data exhibit a high degree of noise and variability across subjects hampering generalizable signal extraction ...
Nørskov, Anders Vestergaard +2 more
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Out-of-Roundness Wheel Damage Identification in Railway Vehicles Using AutoEncoder Models
Applied SciencesThis study presents a comparative analysis of three AutoEncoder (AE) models—Variational AutoEncoder (VAE), Sparse AutoEncoder (SAE), and Convolutional AutoEncoder (CAE)—to detect and quantify structural anomalies in railway vehicle wheels, such as ...
Renato Melo +7 more
doaj +1 more source