Results 201 to 210 of about 430,799 (337)

Deviation‐Guided Attention for Semi‐Supervised Anomaly Detection With Contrastive Regularisation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Anomaly detection (AD) aims to identify abnormal patterns that deviate from normal behaviour, playing a critical role in applications such as industrial inspection, medical imaging and autonomous driving. However, AD often faces a scarcity of labelled data. To address this challenge, we propose a novel semi‐supervised anomaly detection method,
Guanglei Xie   +6 more
wiley   +1 more source

Nodular Melanoma. [PDF]

open access: yesIndian Dermatol Online J
Vendhan S, Neema S, Kunwar B.
europepmc   +1 more source

Review of recent trends of advancements in multilevel inverter topologies with reduced power switches and control techniques

open access: yesIET Power Electronics, EarlyView.
Some of the topologies with a fewer number of power switches are reviewed and scrutinized. An extensive analysis of the topologies, control strategy and applications are presented here, suggesting suitable multilevel inverter solutions to the known industrial application or new research.
Anurag Choudhary   +5 more
wiley   +1 more source

Abiotic variables drive different aspects of fish community trait variation and species richness across the continental United States

open access: yesJournal of Animal Ecology, EarlyView.
Trait distributions provide insight into how niches overlap within a broader trait space. By integrating individual‐level trait observations from different communities, we can explore how facets of trait dimensionality vary across environmental conditions.
Alicia McGrew   +6 more
wiley   +1 more source

Should you use data integration for your distribution model?

open access: yesJournal of Animal Ecology, EarlyView.
This paper explores cases where data integration (the joint modelling of two or more observational datasets) is useful for species distribution models, and also highlights cases where it's actually not useful. This provides the first concrete guidance for deciding whether or not data integration is worth your time.
Benjamin R. Goldstein   +3 more
wiley   +1 more source

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