Results 61 to 70 of about 88,867 (255)

Log Anomaly Detection with Conformal Alert Control and Evidence-Grounded Incident Ticket Generation

Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls
Operational logs are a primary source of evidence for reliability engineering, incident response, and security operations, but log anomaly detection is useful only when scores can be translated into controlled alerts and auditable incident evidence. This
Qi Xin
doaj   +1 more source

Progressive Temporal-Spatial-Semantic Analysis of Driving Anomaly Detection and Recounting

Sensors, 2019
For analyzing the traffic anomaly within dashcam videos from the perspective of ego-vehicles, the agent should spatial-temporally localize the abnormal occasion and regions and give a semantically recounting of what happened.
Rixing Zhu, Jianwu Fang, Hongke Xu, Jianru Xue   +3 more
doaj   +1 more source

Isolation Forest in Novelty Detection Scenario

CoRR
Data mining offers a diverse toolbox for extracting meaningful structures from complex datasets, with anomaly detection emerging as a critical subfield particularly in the context of streaming or real-time data. Within anomaly detection, novelty detection focuses on identifying previously unseen patterns after training solely on regular data.
Adam Ulrich, Jan Krnávek, Roman Senkerik, Zuzana Komínková Oplatková, Radek Vala   +4 more
openaire   +3 more sources

Individuals With Multijoint Osteoarthritis Demonstrate Larger Longitudinal Declines in Frailty: Data From the Canadian Longitudinal Study on Aging

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to test the hypothesis that multijoint osteoarthritis would modify the relation between time and frailty progression, in which more affected joints would lead to larger declines over six years compared to those without osteoarthritis using data from the Canadian Longitudinal Study on Aging.
Carson Halliwell, Rebecca Moyer, Myles W. O'Brien   +2 more
wiley   +1 more source

Toward Intelligent Blockchain Consensus: A Machine Learning-Enhanced Redbelly Framework for Scalable, Secure, and Energy-Efficient Decentralized Networks

Computers
Blockchain consensus still forces a hard choice among scalability, security, and energy use. Redbelly, a leaderless Byzantine Fault Tolerance protocol, largely settles the scalability-versus-energy side of that tension, yet it accepts any ...
Ismail Fdilat, Khadija Louzaoui, Khalid Benlhachmi   +2 more
doaj   +1 more source

Mapping the Social Network Structure and Composition of Black Individuals With Rheumatic and Musculoskeletal Conditions

Arthritis Care &Research, EarlyView.
Objective Our objective was to describe the social networks of Black individuals with rheumatic and musculoskeletal conditions and understand the clustering of health‐related behaviors to inform future community‐based, peer‐led interventions. Methods We used an adapted Personal Network Survey for Clinical Research (PERSNET) to map the personal social ...
Taussia Boadi, Amar Dhand, Leah Santacroce, Neil Pillai, Komel Safdar, Mia T. Chandler, Ariel Childs, Monica Crespo‐Bosque, Gina Curry, Mary Dollear, Alice Eggleston, Daniel Erickson, Dieufort Fleurissaint, Denice Garrett, Gail Granville, Tyler Green, Magdalena Hamielec, Elena Losina, Karen Mancera‐Cuevas, Mary Ann Nelson, Chisa Nosamiefan, Bisola Ojikutu, Tonya S. Roberson, Mary Beth Son, Marie Jacques Toussaint, Michael York, Rosalind Ramsey‐Goldman, Candace H. Feldman   +27 more
wiley   +1 more source

Drop-in density-aware partitioning for tree-based anomaly detection

Machine Learning: Science and Technology
Unsupervised isolation tree-based anomaly detection methods are widely used for their simplicity, scalability, and strong empirical performance. However, the standard partition rule, whether drawing thresholds uniformly from feature ranges or sampling ...
Sijin Yeom, Jae-Hun Jung
doaj   +1 more source

Anomaly Detection at the DMA-Level via Isolation Forest

Engineering Proceedings
This study applies the Isolation Forest (IF) algorithm to detect anomalies in a district metered area (DMA) in Emilia-Romagna, Italy. Multiple datasets are analyzed, including 15-min inflows, daily minima, and inflows excluding the consumption of a high ...
Chiara Cincotta, Lorenzo Pedroni, Michele Lombardi, Giuditta Nicoli, Cristiana Bragalli   +4 more
doaj   +1 more source

Distance approximation using Isolation Forests

CoRR, 2019
This work briefly explores the possibility of approximating spatial distance (alternatively, similarity) between data points using the Isolation Forest method envisioned for outlier detection. The logic is similar to that of isolation: the more similar or closer two points are, the more random splits it will take to separate them.
openaire   +2 more sources

Effect Modification of Cigarette Smoking on the Relationship between Post‐traumatic Stress Disorder, Other Mental Health Conditions and Rheumatoid Arthritis Risk: A Large Case‐Control Study in U.S. Veterans

Arthritis Care &Research, Accepted Article.
Objective We examined associations of post‐traumatic stress disorder (PTSD) and other mental health disorders (OMH) with rheumatoid arthritis (RA), accounting for effects of smoking. Methods We conducted a matched case‐control study, identifying incident RA cases and controls using national Veteran Health Administration data (2006‐2019).
Kelsey Coziahr, Harlan Sayles, Tate M. Johnson, Joshua F. Baker, Punyasha Roul, Grant W. Cannon, Gary A. Kunkel, Katherine D. Wysham, Gail S. Kerr, Amir A. Razmjou, Isaac Smith, Jennifer L. Barton, Maria I. Danila, Jonathan S. Richards, Bryant R. England, Ted R. Mikuls   +15 more
wiley   +1 more source