Results 101 to 110 of about 6,356,098 (354)

Toward compound fault diagnosis via EMAGAN and large kernel augmented few-shot learning

Frontiers in Mechanical Engineering
Bearings are essential in machinery. Damage to them can cause financial losses and safety risks at industrial sites. Therefore, it is necessary to design an accurate diagnostic model.
Wenchang Xu, Zhexian Zhang, Zhijun Wang, Tianao Wang, Zijian He, Shijie Dong   +5 more
doaj   +1 more source

Mechanisms of parasite‐mediated disruption of brain vessels

FEBS Letters, EarlyView.
Parasites can affect the blood vessels of the brain, often causing serious neurological problems. This review explains how different parasites interact with and disrupt these vessels, what this means for brain health, and why these processes matter. Understanding these mechanisms may help us develop better ways to prevent or treat brain infections in ...
Leonor Loira, Sílvia Arroz‐Madeira, Cláudio A. Franco, Sara Silva Pereira   +3 more
wiley   +1 more source

AI-Based Ransomware Detection: A Comprehensive Review

IEEE Access
Ransomware attacks are becoming increasingly sophisticated, thereby rendering conventional detection methods less effective. Recognizing this challenge, this study reviews advanced detection mechanisms and explores the potential of artificial ...
Jannatul Ferdous, Rafiqul Islam, Arash Mahboubi, Md Zahidul Islam   +3 more
doaj   +1 more source

The newfound relationship between extrachromosomal DNAs and excised signal circles

FEBS Letters, EarlyView.
Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley   +1 more source

Feature-Based Normality Models for Anomaly Detection

Sensors
Detecting previously unseen anomalies in sensor data is a challenging problem for artificial intelligence when sensor-specific and deployment-specific characteristics of the time series need to be learned from a short calibration period.
Hui Yie Teh, Kevin I-Kai Wang, Andreas W. Kempa-Liehr   +2 more
doaj   +1 more source

Classical Machine Learning Techniques in the Search of Extrasolar Planets

CLEI Electronic Journal, 2019
The field of astronomical data analysis has experienced an important paradigm shift in the recent years. The automation of certain analysis procedures is no longer a desirable feature for reducing the human effort, but a must have asset for coping with ...
Francisco Alejandro Mena, Margarita Constanza Bugueño, Mauricio Araya   +2 more
doaj   +1 more source

Vibration fault detection in wind turbines based on normal behaviour models without feature engineering [PDF]

, 2022
Stefan Jonas, Dimitrios Anagnostos, Bernhard Brodbeck, Angela Meyer   +3 more
openalex   +1 more source

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source

Dense Stack Meta Ensemble Classifier (DSMEC): An Advanced Stacking Ensemble Approach for Early Cardiovascular Disease Prediction With Robust Feature Engineering

IEEE Access
Cardiovascular disease remains a major global health issue requiring accurate early risk prediction to enable timely intervention. Traditional approaches often fail to capture complex feature interactions, limiting diagnostic accuracy.
Dewan Ahmed Muhtasim, Rishad Amin Pulok, Md. Fahmidur Rahman Sakib, Ruhul Amin, Bushra Azmat Hussain, Muhammad Muzammil, Md. Mahfujul Hasan, Siok Yee Tan   +7 more
doaj   +1 more source

FED REACTOR ENGINEERING FEATURES [PDF]

, 1983
The Fusion Engineering Device (FED) Baseline design incorporates a number of features which were selected to enhance its maintainability, as well as limit cost and achieve reliable operation. An installation of ten TF coils and ten torus sectors was selected on the basis of plasma chamber segmentation studies and TF coil cost tradeoff studies ...
Sager, P. H., Brown, T. G., Fuller, G. M., Smith, G. E.   +3 more
openaire   +1 more source