Results 61 to 70 of about 98,857 (165)

Anomaly detection using unsupervised machine learning algorithms: A simulation study

Scientific African
This study presents a comprehensive evaluation of five prominent unsupervised machine learning anomaly detection algorithms: One-Class Support Vector Machine (One-Class SVM), One-Class SVM with Stochastic Gradient Descent (SGD), Isolation Forest (iForest)
Edmund Fosu Agyemang
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

Detecting outliers in rule-based knowledge bases using Self-Organizing Map and Local Outlier Factor algorithms

Procedia Computer Science, 2023
Czesław Horyń, Agnieszka Nowak Brzezińska   +1 more
openaire   +1 more source

A big data based flow anomaly detection mechanism of electric power information network

Dianxin kexue, 2017
With the construction of smart grid, the electric power information network and its business system get rapid development. The early flow anomaly detection and warning are significant to the safety of network. Due to the lack of efficient measuring means
Honghong JIANG, Tao ZHANG, Xinjian ZHAO, Xin QIAN, Tiancheng ZHAO, Lisha GAO   +5 more
doaj   +2 more sources

Parallel reservoir computing based signal outlier detection and recovery method for structural health monitoring

Developments in the Built Environment
The presence of outliers in signals collected by structural health monitoring systems, caused by sensor failure, equipment malfunction, or transmission interruption, can lead to misjudgments of a structure's working status and damage degree.
Yan-Ke Tan, You-Wu Wang, Yi-Qing Ni, Qi-Lin Zhang   +3 more
doaj   +1 more source

Software defined network and graph neural network-based anomaly detection scheme for high speed networks

Cyber Security and Applications
In recent years, the proliferation of Software-Defined Networking (SDN) has revolutionized network management and operation. However, with SDN’s increased connectivity and dynamic nature, security threats like Denial-of-Service (DoS) attacks have also ...
Archan Dadhania, Poojan Dave, Jitendra Bhatia, Rachana Mehta, Malaram Kumhar, Sudeep Tanwar, Abdulatif Alabdulatif   +6 more
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 Fine-Scale and Highly Reliable Ground and Canopy Top Extraction Method Using ICESat-2 Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The ice, cloud, and land elevation satellite-2 (ICESat-2) is equipped with an advanced topographic laser altimeter system (ATLAS) that obtains small spots and high-density photon data.
Jingxin Chang, Yonghua Jiang, Zhiyong Lin, Meilin Tan   +3 more
doaj   +1 more source

A Novel Approach Utilizing Bagging, Histogram Gradient Boosting, and Advanced Feature Selection for Predicting the Onset of Cardiovascular Diseases

Mathematics
Cardiovascular diseases (CVDs) rank among the leading global causes of mortality, underscoring the necessity for early detection and effective management.
Norma Latif Fitriyani, Muhammad Syafrudin, Nur Chamidah, Marisa Rifada, Hendri Susilo, Dursun Aydin, Syifa Latif Qolbiyani, Seung Won Lee   +7 more
doaj   +1 more source

Identifying Tampered Radio-Frequency Transmissions in LoRa Networks Using Machine Learning

Sensors
Long-range networks, renowned for their long-range, low-power communication capabilities, form the backbone of many Internet of Things systems, enabling efficient and reliable data transmission.
Nurettin Selcuk Senol, Amar Rasheed, Mohamed Baza, Maazen Alsabaan   +3 more
doaj   +1 more source