Quantifying the efficiency and biases of forest Saccharomyces sampling strategies [PDF]
, 2019 Saccharomyces yeasts are emerging as model organisms for ecology and evolution, and researchers need environmental Saccharomyces isolates to test ecological and evolutionary hypotheses.
Beijernick M. W. +6 more
core +2 more sources
Magnetic Anomaly Detection Method Based on Feature Fusion and Isolation Forest Algorithm
IEEE Access, 2022 In order to improve the weak magnetic detection ability under the background of Gaussian colored magnetic environment noise, a magnetic anomaly detection method based on feature fusion and isolation forest (IForest) algorithm is proposed in this paper ...
Ning Zhang +5 more
doaj +1 more source
Isolation Forests and Deep Autoencoders for Industrial Screw Tightening Anomaly Detection
Computers, 2022 Within the context of Industry 4.0, quality assessment procedures using data-driven techniques are becoming more critical due to the generation of massive amounts of production data.
Diogo Ribeiro +4 more
doaj +1 more source
Calonectria (Cylindrocladium) species associated with dying Pinus cuttings [PDF]
, 2009 Calonectria (Ca.) species and their Cylindrocladium (Cy.) anamorphs are well-known pathogens of forest nursery plants in subtropical and tropical areas of the world.
Lombard, L. +4 more
core +2 more sources
Improved Anomaly Detection by Using the Attention-Based Isolation Forest
Algorithms, 2022 A new modification of the isolation forest called the attention-based isolation forest (ABIForest) is proposed for solving the anomaly detection problem.
Lev Utkin +3 more
doaj +1 more source
Parks, people and pixels: evaluating landscape effects of an East African national park on its surroundings [PDF]
, 2010 Landscapes surrounding protected areas, while still containing considerable biodiversity, have rapidly growing human populations and associated agricultural development in most of the developing world that tend to isolate them, potentially reducing their
Binford, Elizabeth +7 more
core +2 more sources
Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection With an Isolation Forest-Guided Unsupervised Detector [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 Oil spill detection has attracted increasing attention in recent years, since marine oil spill accidents severely affect environments, natural resources, and the lives of coastal inhabitants.
Puhong Duan, Xudong Kang, Pedram Ghamisi
semanticscholar +1 more source
SI2FM: SID Isolation Double Forest Model for Hyperspectral Anomaly Detection
Remote Sensing, 2023 Hyperspectral image (HSI) anomaly detection (HSI-AD) has become a hot issue in hyperspectral information processing as a method for detecting undesired targets without a priori information against unknown background and target information, which can be ...
Zhenhua Mu +4 more
doaj +1 more source
Solving Connectivity Problems Parameterized by Treedepth in Single-Exponential Time and Polynomial Space [PDF]
, 2020 A breakthrough result of Cygan et al. (FOCS 2011) showed that connectivity problems parameterized by treewidth can be solved much faster than the previously best known time ?^*(2^{?(twlog tw)}). Using their inspired Cut&Count technique, they obtained ?^*(
Hegerfeld, Falko, Kratsch, Stefan
core +2 more sources
K-Means-based isolation forest
Knowledge-Based Systems, 2020 Abstract The task of anomaly detection in data is one of the main challenges in data science because of the wide plethora of applications and despite a spectrum of available methods. Unfortunately, many of anomaly detection schemes are still imperfect i.e., they are not effective enough or act in a non-intuitive way or they are focused on a specific ...
Paweł Karczmarek +3 more
openaire +1 more source