Results 81 to 90 of about 3,700 (193)

Federated Learning and 5G/6G‐Based Internet of Medical Things (IoMT): Applications, Key Enabling Technologies, Open Issues and Future Research Directions

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This review examines the integration of federated learning (FL) in the Internet of Medical Things (IoMT), enhanced by 5G/6G technologies, to improve healthcare systems with decentralized data processing, enhanced privacy, reduced latency, and efficient resource utilization, while addressing emerging challenges and future research directions.
Abdul Ahad, Kazi Istiaque Ahmed, Farhan Ullah, Muhammad Aman Sheikh, Mohammad Tahir, Mohammad Hayajneh, Ivan Miguel Pires   +6 more
wiley   +1 more source

Comparative analysis of autoencoder architectures for breast cancer detection using dynamic infrared thermography

Engineering Science and Technology, an International Journal
Breast 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, Mehmet Engin, Erkan Zeki Engin   +2 more
doaj   +1 more source

Modeling Polymeric Drug Release: The Emerging Role of Machine Learning

WIREs Nanomedicine and Nanobiotechnology, Volume 18, Issue 2, March/April 2026.
A review of mechanistic, empirical, and machine learning (ML) approaches for modeling drug release from polymeric systems, highlighting how data‐driven methods uncover relationships between formulation parameters and release behavior to guide future drug delivery design.
Ryan N. Woodring, Kristy M. Ainslie
wiley   +1 more source

Intelligent Fault Diagnosis of Gas Pressure Regulator Based on AE-GWO-SVM Algorithm

Automation
A pressure regulator is essential for pressure control in a gas transmission system. The traditional maintenance approaches for pressure regulators involve equipment disassembly that disrupts normal production.
Shunyuan Hu, Zhixiang Dai, Keqing Zhang, Jingjian Liu, Qing Wen, Yanhua Qiu, Weidong Li   +6 more
doaj   +1 more source

CODE-AE: A Coherent De-confounding Autoencoder for Predicting Patient-Specific Drug Response From Cell Line Transcriptomics [PDF]

, 2021
Di He, Lei Xie
openalex   +1 more source

Short‐Term Estuarine Phytoplankton Dynamics in Response to Hurricanes Along the Gulf Coast of America: A Variational Autoencoder (VAE) Approach With Satellite and Bio‐Optical Observations

Journal of Geophysical Research: Oceans, Volume 131, Issue 3, March 2026.
Abstract Hurricanes drive diverse estuarine phytoplankton responses and can trigger cascading ecological and physicochemical impacts. Capturing these short‐term dynamics requires high spatiotemporal resolution. Here, we applied a globally‐applicable coastal ocean color algorithm, Variational Autoencoder (VAE), to Sentinel‐2 MSI imagery for chlorophyll ...
J. Li, B. Liu, J. Lou, X. Yuan, E. J. D’Sa, M. M. Baustian, M. La Peyre, A. Freeman, V. S. Martins, E. Habib   +9 more
wiley   +1 more source

Mineralogical Classification of CRISM Hyperspectral Data Under Uncertainty With Hybrid Neural Networks

Journal of Geophysical Research: Planets, Volume 131, Issue 3, March 2026.
Abstract Orbital remote sensing observations are a lynchpin of planetary science research. Hyperspectral infrared spectroscopy in particular is key for planetary mineralogical exploration, for example, CRISM for Mars, as this underpins our understanding of the distribution of specific lithologies and the geological process leading to their formation ...
Robert Platt, Rossella Arcucci, Cédric M. John   +2 more
wiley   +1 more source

Evaluating Reconstruction-Based and Proximity-Based Methods: A Four-Way Comparison (AE, LSTM-AE, OCSVM, IF) in SCADA Anomaly Detection Under Inverted Imbalance

Future Internet
This article investigates and compares four unsupervised anomaly detection algorithms: the Autoencoder (AE), LSTM-Autoencoder (LSTM-AE), One-Class SVM (OCSVM), and the Isolation Forest (IF). The analysis focuses on SCADA telemetry data from an urban wind
Lukasz Pawlik
doaj   +1 more source

Variational and Monte Carlo Methods for Bayesian Inversion of Dynamic Subsurface Flow Simulations Using Seismic and Fluid Pressure Data

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract In order to predict future performance of subsurface fluid reservoirs under possible operating scenarios, a dynamic, porous‐medium flow simulation model must be tuned to include representative properties of the reservoir. Estimating subsurface reservoir properties given remotely sensed or borehole‐based observations typically involves finding ...
Zhen Zhang, Xuebin Zhao, Andrew Curtis
wiley   +1 more source

Investigation of an Optimized Linear Regression Model with Nonlinear Error Compensation for Tool Wear Prediction

Machines
To solve the problem of insufficient accuracy in tool wear process modeling and Remaining Useful Life (RUL) estimation, this study proposes a two-stage prediction method.
Lihua Shen, Baorui Du, He Fan, Hailong Yang   +3 more
doaj   +1 more source