Results 71 to 80 of about 3,700 (193)

Modeling and Optimization of Frequency‐Doubled Radio‐Over‐Fiber Link Based on Deep Learning Technique

Advanced Photonics Research, Volume 7, Issue 3, March 2026.
This article proposes a deep learning (DL) approach for modeling and optimizing frequency‐doubled radio‐over‐fiber links. By collectively replacing traditional components with DL model, accurate system evaluation is achieved. Moreover, through an end‐to‐end architecture, performance optimization is accomplished.
Difei Shi, Xiangyan Meng, Hanxin Chen, Wei Li   +3 more
wiley   +1 more source

Multivariate Contrastive Predictive Coding with Sliding Windows for Disease Prediction from Electronic Health Records

Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.
Adaptive multi‐indicator contrastive predictive coding is introduced as a self‐supervised pretraining framework for multivariate EHR time series. An adaptive sliding‐window algorithm and 2D convolutional neural network encoder capture localized temporal patterns and global indicator dependencies, enabling label‐efficient disease prediction that ...
Hongxu Yuan, Xiaozhu Jing, Yuzheng Yan, Wuman Luo   +3 more
wiley   +1 more source

An abnormal traffic detection method for chain information management system network based on convolutional neural network

Frontiers in Physics
Chain 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

Rational Design and Functional Optimization of Surface‐Enhanced Raman Spectroscopy Substrates: From Material Engineering to Bioanalysis

ChemistryEurope, Volume 4, Issue 3, March 2026.
This review presents a rational design framework for high‐performance surface‐enhanced Raman spectroscopy (SERS) substrates enabling ultrasensitive detection. It first elucidates the dual enhancement mechanisms, namely the dominant electromagnetic enhancement arising from localized surface plasmon resonances and the complementary chemical enhancement ...
Xinwei Zhang, Hanying Wang, Shuo Zheng, Zhuoran Hu, Yuhan Gao, Tuotuo Zhang, Nanke Chen, Zhipeng Zhang, Yao Sun, Junrong Li   +9 more
wiley   +1 more source

Multi-View Spectral Clustering via ELM-AE Ensemble Features Representations Learning

IEEE Access, 2020
Spectral cluster based on multi-view data has proven effective for clustering multi-source real-world data because consensus and complementary information of multi-view data ensure the result of clustering.
Lijuan Wang, Shifei Ding
doaj   +1 more source

Anomaly Detection and Localization With State‐of‐the‐Art Deep Learning Models to Support Quality Inspection in Car Manufacturing

Engineering Reports, Volume 8, Issue 3, March 2026.
This work presents a deep learning framework for sealant inspection in automotive manufacturing, leveraging synthetic data to address the scarcity of real defects. Integrated with state‐of‐the‐art deep learning methods, the approach enhances anomaly detection and localization, demonstrating practical applicability and robustness under real‐world ...
Francesco Manigrasso, Davide Calandra, Lia Morra, Fabrizio Lamberti   +3 more
wiley   +1 more source

Out-of-Roundness Wheel Damage Identification in Railway Vehicles Using AutoEncoder Models

Applied Sciences
This 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, Rafaelle Finotti, António Guedes, Vítor Gonçalves, Andreia Meixedo, Diogo Ribeiro, Flávio Barbosa, Alexandre Cury   +7 more
doaj   +1 more source

AE-TPGG: a novel autoencoder-based approach for single-cell RNA-seq data imputation and dimensionality reduction [PDF]

, 2022
Shuchang Zhao, Li Zhang, Xuejun Liu
openalex   +1 more source

Early Cancer Detection: What's Going on and What's Next

MedComm, Volume 7, Issue 3, March 2026.
Multicancer early detection (MCED) platforms have emerged as a promising strategy for the safe and effective early detection of multiple cancer types, with the potential to reduce metastatic burden and improve clinical outcomes, particularly for aggressive malignancies that lack effective population‐level screening.
Emma Di Carlo
wiley   +1 more source

Critical Review for One‐Class Classification: Recent Advances and Reality Behind Them

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This review presents a new taxonomy to summarize one‐class classification (OCC) algorithms and their applications. The main argument is that OCC should not learn multiple classes. The paper highlights common violations of OCC involving multiple classes.
Toshitaka Hayashi, Dalibor Cimr, Hamido Fujita, Richard Cimler   +3 more
wiley   +1 more source