Quantifying the efficiency and biases of forest Saccharomyces sampling strategies [PDF]
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
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
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
Improved Anomaly Detection by Using the Attention-Based Isolation Forest
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
SI2FM: SID Isolation Double Forest Model for Hyperspectral Anomaly Detection
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
Parks, people and pixels: evaluating landscape effects of an East African national park on its surroundings [PDF]
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
Cloud-Empowered Data-Centric Paradigm for Smart Manufacturing
In the manufacturing industry, there are claims about a novel system or paradigm to overcome current data interpretation challenges. Anecdotally, these studies have not been completely practical in real-world applications (e.g., data analytics).
Sourabh Dani +3 more
doaj +1 more source
K-Means-based isolation forest
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
Nonomuraea insulae sp. nov., isolated from forest soil [PDF]
Strain H2R21T, a novel actinobacterium, isolated from a forest soil sample collected from Heybeliada, Istanbul, Turkey, and a polyphasic approach was used for characterisation of the strain. Chemotaxonomic and morphological characterisation of strain H2R21T indicated that it belongs to the genus Nonomuraea. 16S rRNA gene sequence similarity showed that
Salih Saricaoglu +9 more
openaire +6 more sources
Habitat fragmentation and anthropogenic factors affect wildcat Felis silvestris silvestris occupancy and detectability on Mt Etna [PDF]
Knowledge of patterns of occupancy is crucial for planning sound biological management and for identifying areas which require paramount conservation attention.
Anile S. +5 more
core +1 more source

