Results 41 to 50 of about 48,813 (257)
Outlier Detection in Ocean Wave Measurements by Using Unsupervised Data Mining Methods
Polish Maritime Research, 2018 Outliers are considerably inconsistent and exceptional objects in the data set that do not adapt to expected normal condition. An outlier in wave measurements may be due to experimental and configuration errors, technical defects in equipment ...
Mahmoodi Kumars, Ghassemi Hassan
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An adaptive smartphone anomaly detection model based on data mining
EURASIP Journal on Wireless Communications and Networking, 2018 With the popularization of smartphones, they have become the main target of malicious applications. In recent years, malware has become a major threat to Android smartphones.
Xue Li Hu +2 more
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Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions
FEBS Letters, EarlyView.The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang +4 more
wiley +1 more source
Molecular Oncology, EarlyView.Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park +6 more
wiley +1 more source
Laser Ultrasonic Defect Detection Based on Local Outlier Factor and Isolated Forest [PDF]
Zhengzhou Daxue xuebao. Gongxue banIn response to the issue of artifacts in the maximum amplitude images in laser ultrasonic (LU) defect detection, principal component analysis (PCA) was integrated with two unsupervised machine learning algorithms including local outlier factor (LOF) and ...
LI Yang +6 more
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FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Local outlier factor use for the network flow anomaly detection
Security and Communication Networks, 2015 AbstractInternet users and computer networks constantly suffer from increasing number of cyberattacks. During the process of seeking how to reduce the risk and possible consequences of the attacks, it is very important to identify the attacks at the initial stage of their realization.
Nerijus Paulauskas +1 more
openaire +1 more source
FEBS Open Bio, EarlyView.The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong +3 more
wiley +1 more source
Technology Opportunity Analysis Based on Machine Learning
Axioms, 2022 The sustainable growth of a company requires a differentiated research and development strategy through the discovery of technology opportunities. However, previous studies fell short of the need for utilizing outlier keywords, based on approaches from ...
Junseok Lee, Sangsung Park, Juhyun Lee
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