Results 71 to 80 of about 161,068 (368)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie +8 more
wiley +1 more source
Anomaly Detection Using Graph Anomaly Rules
Big Data Mining and AnalyticsAnomaly detection in attribute networks is utilized to discover patterns of individuals or groups that deviate from the majority, and is widely used in areas such as e-commerce and social media.
Bowen Dong +4 more
doaj +1 more source
Enhancing network traffic prediction and anomaly detection via statistical network traffic separation and combination strategies [PDF]
, 2006 In this paper, we propose, study and analyze a new network traffic prediction methodology, based on the \u27frequency domain\u27 traffic analysis and filtering, with the objective of enhancing the network anomaly detection capabilities.
Jiang, J +3 more
core +1 more source
Global Rather Than Vertical‐Selective Saccadic Abnormalities in Progressive Supranuclear Palsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To test whether vertical saccades are preferentially affected in Progressive Supranuclear Palsy (PSP). Methods PSP patients (n = 24) were compared to age‐matched controls (n = 94) and two degenerative groups (Alzheimer's disease, n = 20; Lewy body disease, n = 50).
Duy Duan Nguyen +6 more
wiley +1 more source
Surface anomaly detection on island-based PV panels using edge neural networks
Zhejiang dianliSurface anomaly detection on photovoltaic （PV） panels is crucial for their operation and maintenance， especially in island environments where challenges such as small anomaly sizes and minimal color differences are prevalent. Due to the poor accuracy and
ZHANG Yinxian, ZHANG Zhanyao, ZHANG Xiya
doaj +1 more source
Comparative Analysis of Anomaly Detection Techniques Using Generative Adversarial Network
Sir Syed University Research Journal of Engineering and Technology, 2023 Anomaly detection in a piece of data is a challenging task. Researchers use different approaches to classify data as anomalous. These include traditional, supervised, unsupervised, and semi-supervised techniques.
Imran Ullah Khan +4 more
doaj
Arthritis Care &Research, EarlyView.People with systemic autoimmune and rheumatic diseases (SARDs) are at higher risk than the general population of experiencing adverse pregnancy and perinatal outcomes such as preeclampsia, intrauterine growth restriction, and maternal and/or fetal death.
Mehret Birru Talabi, Sonya Borrero
wiley +1 more source
Reliable and Secure Anomaly Detection in Heterogeneous Federated Learning: A Comprehensive Review
Big Data Mining and AnalyticsAnomaly detection plays a critical role in ensuring the security of data and systems across diverse real-world applications. Traditional anomaly detection relies on collecting large datasets on a central server, but in reality, data are often spread ...
Haolong Xiang +6 more
doaj +1 more source
International Journal of Distributed Sensor Networks, 2016 As WSNs gain popularity, they are becoming more and more necessary for traffic anomaly detection. Because worms, attacks, intrusions, and other kinds of malicious behaviors can be recognized by traffic analysis and anomaly detection, WSN traffic anomaly ...
Qin Yu +3 more
doaj +1 more source
Distinct Systemic Sclerosis Phenotypes Related to Ethnicity: An Opportunity to Personalize Care?
Arthritis Care &Research, EarlyView.Objective The objective is to describe and compare demographic, clinical, and serological characteristics of patients with systemic sclerosis (SSc) according to ethnic background. Methods Participants enrolled in the Canadian Scleroderma Research Group cohort who self‐identified to a single ethnicity group were included.
Danick Goulet +11 more
wiley +1 more source