Results 291 to 300 of about 2,566,212 (336)

A Novel Unsupervised Deep Transfer Learning Method With Isolation Forest for Machine Fault Diagnosis

IEEE Transactions on Industrial Informatics
Recent diagnostic approaches based on the deep learning model have attracted much attention. However, developing an outstanding AI diagnostic model requires many training samples with labeled information. Moreover, training deep models is labor-intensive
Jinglun Liang, Qin Liang, Zhaoqian Wu, Haolun Chen, Shaohui Zhang, Fei Jiang   +5 more
semanticscholar   +1 more source

Securing Chemical Processing Plants using Isolation Forest Algorithm and IoT Sensors for Leakage Prevention

International Congress on Information and Communication Technology
Chemical processing plants are essential to many different sectors of the economy, but they also pose risks to people and the environment in the event of accidents like chemical spills. Using the Isolation Forest algorithm in conjunction with IoT sensors
Thanigaivelu P S, C. Ranganathan, S. Priya, R. Asha, S. Murugan, T. R. Ganeshbabu   +5 more
semanticscholar   +1 more source

Fuzzy C-Means-based Isolation Forest

Applied Soft Computing, 2021
Abstract The problem of finding anomalies (outliers) in databases is one of the most important issues in modern data analysis. One of the reasons is the occurrence of this issue in almost every type of database, including numerical, categorical, time, mixed, or graphic data.
Paweł Karczmarek, Adam Kiersztyn, Witold Pedrycz, Dariusz Czerwiński   +3 more
openaire   +1 more source

Isolation forest-voting fusion-multioutput: A stroke risk classification method based on the multidimensional output of abnormal sample detection

Comput. Methods Programs Biomed.
BACKGROUND AND OBJECTIVE Stroke has become a major disease threatening the health of people around the world. It has the characteristics of high incidence, high fatality, and a high recurrence rate.
Hai He, Haibo Yang, F. Mercaldo, Antonella Santone, Pan Huang   +4 more
semanticscholar   +1 more source

Infrared Small UAV Target Detection via Isolation Forest

IEEE Transactions on Geoscience and Remote Sensing, 2023
The illegal misuse of noncooperative unmanned aerial vehicles (UAVs) poses huge threats to society and life safety. Infrared imaging is reliable to monitor UAVs and the anti-UAVs technology via infrared images has attracted more and more attention.
Mingjing Zhao, Wei Li, Lu Li, Ao Wang, Jin Hu, Ran Tao   +5 more
semanticscholar   +1 more source

Intelligent Cross-Working Condition Fault Detection and Diagnosis Using Isolation Forest and Adversarial Discriminant Domain Adaptation

IEEE Transactions on Instrumentation and Measurement
The increasing complexity and varying operational conditions of today’s rotating machinery present significant challenges for automated fault diagnosis.
Yaqiong Lv, Xiaoling Guo, S. Shirmohammadi, Lu Qian, Yi Gong, Xinjue Hu   +5 more
semanticscholar   +1 more source

Anomaly Detection Based on Isolated Forests

2021
Anomaly detection plays an important role in big data, which deals with high dimensional data effectively and quickly. In this paper is going to propose an anomaly detection method based on isolated forests. In the proposed method, the original data set is divided into different initial static blocks to calculate the intra-block density and mean ...
Jun-Liang Li, Yi-Feng Zhou, Zhi-Yang Ying, Hong Xu, Yuanxi Li, Xiaojie Li   +5 more
openaire   +1 more source

Abnormal Electricity Detection of Users Based on Improved Canopy-Kmeans and Isolation Forest Algorithms

IEEE Access
Aiming at the existing user abnormal electricity consumption detection methods that have the problem of difficult classification of user similar electricity consumption patterns, this paper proposes an unsupervised isolation forest abnormal electricity ...
Jianyuan Wang, Xiaoyao Li
semanticscholar   +1 more source

Enhancing Network Security: Leveraging Isolation Forest for Malware Detection

2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)
In this work it has been shown that the growth of computer attacks continues to advance constantly, as well as the large number of vulnerability detection and protection tools that exist, therefore, not protecting a computer system allows easy access by ...
Janardan Pawar, M. Avhankar, Ashulekha Gupta, Amit Barve, Harshal Patil, R. Maranan   +5 more
semanticscholar   +1 more source

Isolation Forest Algorithm Against UAV’s GPS Spoofing Attack

2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics
Nowadays, Unmanned Aerial Vehicle (UAV) platforms are a valuable source of data for inspection, surveillance, mapping, and 3D modeling issues. Embedded electronic and communication systems within UAVs are based on the integration of the Internet of ...
A. B. Mohammed, Lamia Chaari, A. Fakhrudeen   +2 more
semanticscholar   +1 more source