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Paenibacillus caseinilyticus sp. nov., isolated forest soil
International Journal of Systematic and Evolutionary Microbiology, 2023A milky-white-coloured, aerobic, Gram-stain-positive, rod-shaped and motile bacterial strain (GW78T) was isolated from forest soil. GW78T was catalase-positive and oxidase-negative. The strain was able to grow optimally at 37 °C and at pH 7.0 in Reasoner's 2A media.
Hyosun Lee +6 more
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Fuzzy Set-Based Isolation Forest
2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2020One of the main challenges is the analysis of large data sets, in particular those containing various types of data, such as time, place, image, and those assuming categorical values. This type of data may contain numerous outliers. Despite the continuous development of data analysis, many methods can be effectively improved, in particular through the ...
Pawel Karczmarek +2 more
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Two-Stream Isolation Forest Based on Deep Features for Hyperspectral Anomaly Detection
IEEE Geoscience and Remote Sensing Letters, 2023Hyperspectral anomaly detection (HAD) is a challenging task in hyperspectral image processing, which is to capture the anomaly by spectral and spatial information without prior knowledge.
XiuPeng Cheng +5 more
semanticscholar +1 more source
Isolation Forest Based Anomaly Detection and Fault Localization for Solar PV System
2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), 2023The decrease in fossil fuel reserves has prompted a global move toward distributed energy resources. For this reason, solar PV power generation has recently gained much attention as a feasible renewable energy source.
S. Kabir +2 more
semanticscholar +1 more source
Enhanced anomaly scores for isolation forests
Pattern Recognition, 2021Abstract Isolation Forest represents a variant of Random Forest largely and successfully employed for outlier detection. The main idea is that outliers are likely to get isolated in a tree after few splits. The anomaly score is therefore a function inversely related to the leaf depth.
Antonella Mensi, Manuele Bicego
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International Conference Electronic Systems, Signal Processing and Computing Technologies [ICESC-]
This work presents a novel method for improving patient care by creating a self-sufficient system to detect saline levels using an Isolation Forest Algorithm (IFA) hosted on the cloud.
Nandhini R +5 more
semanticscholar +1 more source
This work presents a novel method for improving patient care by creating a self-sufficient system to detect saline levels using an Isolation Forest Algorithm (IFA) hosted on the cloud.
Nandhini R +5 more
semanticscholar +1 more source
Cloud-Enabled Isolation Forest for Anomaly Detection in UAV-Based Power Line Inspection
2024 2nd International Conference on Networking and Communications (ICNWC)Unmanned Aerial Vehicles (UAVs) gather data efficiently for power line inspection. Anomaly detection is essential for power infrastructure dependability and security.
Jayabharathi Ramasamy +5 more
semanticscholar +1 more source
Infrared Small UAV Target Detection via Isolation Forest
IEEE Transactions on Geoscience and Remote Sensing, 2023The 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 +5 more
semanticscholar +1 more source
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 +5 more
semanticscholar +1 more source
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 +5 more
semanticscholar +1 more source
A Novel Unsupervised Deep Transfer Learning Method With Isolation Forest for Machine Fault Diagnosis
IEEE Transactions on Industrial InformaticsRecent 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 +5 more
semanticscholar +1 more source