Results 61 to 70 of about 1,179 (139)

Detection of High-level PM<SUB>2.5</SUB> Occurrences Applying Local Outlier Factor (LOF) Algorithm

Journal of Korean Society for Atmospheric Environment, 2021
Yongchan Lee, Yongbum Kwon, Heekwan Lee
openaire   +1 more source

Abstracts

Molecular Oncology, Volume 20, Issue S1, Page 1-692, August 2026.
Abstracts submitted to the ‘EACR 2026 Congress: Innovative Cancer Science’, from 08–11 June 2026 and accepted by the Congress Organising Committee are published in this Supplement of Molecular Oncology, an affiliated journal of the European Association for Cancer Research (EACR).
wiley   +1 more source

TextGuard: Identifying and Neutralizing Adversarial Threats in Textual Data

International Journal of Informatics, Information System and Computer Engineering
Adversarial attacks in the text domain pose a serious risk to the integrity of Natural Language Processing (NLP) systems. In this study, we propose "TextGuard," a unique approach to detect hostile instances in NLP, based on the Local Outlier Factor (LOF)
Luay Albtsoh, Marwan Omar
doaj   +1 more source

Research on Inconsistency Evaluation of Retired Battery Systems in Real-World Vehicles

Batteries
Inconsistency is a key factor triggering safety problems in battery packs. The inconsistency evaluation of retired batteries is of great significance to ensure the safe and stable operation of batteries during subsequent gradual use. This paper summaries
Jiegang Wang, Kerui Li, Chi Zhang, Zhenpo Wang, Yangjie Zhou, Peng Liu   +5 more
doaj   +1 more source

A Data-Driven Loose Contact Diagnosis Method for Smart Meters

Sensors
In smart meters, loose contact at screw terminals can lead to prolonged overheating and arcing, posing significant fire hazards. To mitigate these risks through early fault detection, this study proposes a data-driven framework integrating the Local ...
Wenpeng Luan, Yajuan Huang, Bochao Zhao, Hanju Cai, Yang Han, Bo Liu   +5 more
doaj   +1 more source

Outlier Ensemble Based on Isolation Forest: The CBOEA Approach

Foundations of Computing and Decision Sciences
Outliers are instances that deviate from the norm. In certain fields, their detection is crucial since they are often indicators of interesting events such as system faults and deliberate human actions.
Chaabouni Ali, Boujelben Mohamed Ayman
doaj   +1 more source

An Automated Geographical Information System-Based Spatial Machine Learning Method for Leak Detection in Water Distribution Networks (WDNs) Using Monitoring Sensors

Applied Sciences
Pipe leakage in water distribution networks (WDNs) has been an emerging concern for water utilities worldwide due to its public health and economic significance. Not only does it cause significant water losses, but it also deteriorates the quality of the
Doha Elshazly, Rahul Gawai, Tarig Ali, Md Maruf Mortula, Serter Atabay, Lujain Khalil   +5 more
doaj   +1 more source

Adaptive threshold based outlier detection on IoT sensor data: A node-level perspective

Alexandria Engineering Journal
The accuracy and reliability of IoT-based sensor networks depend on validating sensed data, including detecting outliers at the node level. This study proposes an online outlier detection approach using Multiple Linear Regression-based adaptive ...
M. Veera Brahmam, S. Gopikrishnan
doaj   +1 more source

Poster Sessions

HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source

ePoster

European Journal of Neurology, Volume 33, Issue S1, June 2026.
wiley   +1 more source