Marked decline in forest-dependent small mammals following habitat loss and fragmentation in an Amazonian deforestation frontier [PDF]
, 2020 Agricultural frontier expansion into the Amazon over the last four decades has created million hectares of fragmented forests. While many species undergo local extinctions within remaining forest patches, this may be compensated by native species from ...
Palmeirim, Ana Filipa +2 more
core +1 more source
Hyperspectral Anomaly Detection via Optimal Kernel and High-Order Moment Correlation Representation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Hyperspectral anomaly detection has been a hot topic in the field of remote sensing due to its potential application prospects. However, anomaly detection still has two typical problems to be solved.
Zhuang Li, Ye Zhang, Junping Zhang
doaj +1 more source
Intrusion Detection Based on Autoencoder and Isolation Forest in Fog Computing
IEEE Access, 2020 Fog Computing has emerged as an extension to cloud computing by providing an efficient infrastructure to support IoT. Fog computing acting as a mediator provides local processing of the end-users' requests and reduced delays in communication between the ...
Kishwar Sadaf, Jabeen Sultana
doaj +1 more source
OptIForest: Optimal Isolation Forest for Anomaly Detection [PDF]
International Joint Conference on Artificial Intelligence, 2023 Anomaly detection plays an increasingly important role in various fields for critical tasks such as intrusion detection in cybersecurity, financial risk detection, and human health monitoring.
Haolong Xiang +7 more
semanticscholar +1 more source
Anomaly Prediction in Electricity Consumption Using a Combination of Machine Learning Techniques
International Journal of Technology, 2022 Electricity demand is increasing proportionally to the increase in power usage. Without a doubt, energy efficiency has gained significant importance and attention, with one of the primary concerns being the detection and forecasting of abnormal ...
Rawan ELhadad +2 more
doaj +1 more source
Forest patch isolation drives local extinctions of Amazonian orchid bees in a 26 years old archipelago [PDF]
, 2017 Major hydroelectric dams are among key emergent agents of habitat loss and fragmentation in lowland tropical forests. Orchid bees (Apidae, Euglossini) are one of the most important groups of specialized pollinators of flowering plants in Neotropical ...
Peres, Carlos A., Storck-Tonon, Danielle
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Design matters : an evaluation of the impact of small man-made forest clearings on tropical bats using a before-after-control-impact design [PDF]
, 2017 In recent years, large clearings (>1000 ha) accounted for gradually smaller amounts of total annual deforestation in the Brazilian Amazon, whereas the proportion of small clearings (
Bobrowiec, PED +8 more
core +2 more sources
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
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
Geography and History of Periodical Cicadas (Hemiptera: Cicadidae) in DuPage County, Illinois [PDF]
, 2018 The spatial distribution of periodical cicada (Magicicada septendecim L. and M. cassini Fisher) emergence in 2007 did not match either historical locations of woodlands or the cicadas’ own geography in the 19th and early 20th centuries in DuPage County ...
Strang, Carl A
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