Results 121 to 130 of about 55,204 (231)
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source
Abstract Computed tomography (CT) images are often severely corrupted by artifacts in the presence of metals. Existing supervised metal artifact reduction (MAR) approaches suffer from performance instability on known data due to their reliance on limited paired metal‐clean data, which limits their clinical applicability. Moreover, existing unsupervised
Jie Wen +3 more
wiley +1 more source
ABSTRACT Vocabulary knowledge is foundational to educational success, but significant gaps exist between students with reading disabilities or those from disadvantaged backgrounds and their peers. These gaps have cascading effects, as children with lower vocabulary knowledge are less likely to acquire new words through independent reading and are less ...
Halie A. Olson +3 more
wiley +1 more source
Resource Reclamation in Distributed Hash Tables
In this paper, we discuss the problem of storage reclamation in DHTs that use redundancy to provide high data availability. Two approaches for performing storage reclamation for lazy repair are active polling and implicit garbage collection. We evaluated the overhead of these two approaches under low churn situation to high.
Tati, Kiran, Voelker, Geoffrey M
openaire +1 more source
Characterizing Point‐Source Carbon Emissions by Combining TROPOMI CO and OCO CO2 Data
Abstract Understanding and independently validating carbon emissions from concentrated point sources is vital to support climate policy. Satellite‐based quantifications of CO2 ${\text{CO}}_{2}$ point source emissions have been limited by the spatial coverage of current satellite instruments. We combine three different satellite instruments to determine
Gijs Leguijt +5 more
wiley +1 more source
An In‐Depth Characterization of Page Fault Handling in Modern Persistent Memory Systems
ABSTRACT Recent advancements in Persistent Memory (PM) technologies have enabled the integration of such devices directly into the processor's memory hierarchy, allowing them to be accessed via standard load/store instructions. These developments have revived interest in the design and implementation of systems capable of effectively supporting PM.
André Libório +4 more
wiley +1 more source
Straight to Phase III: Model‐informed approach speeds depemokimab clinical development in interleukin‐5‐driven diseases. IL‐5, a key mediator of type 2 inflammation, underlies various diseases, including severe asthma, CRSwNP, EGPA, and HES. Reduction in blood eosinophil count (BEC), a biomarker of IL‐5 activity, is commonly used to evaluate the ...
Chiara Zecchin +6 more
wiley +1 more source
We introduce an 8m Aotearoa New Zealand wide hydrologically conditioned DEMs and roughness generated in April 2025, which is publicly available on ZENODO European Union Open Research Repository (https://zenodo.org/records/16734446) with the DOI 10.5281/zenodo.16734446. This dataset is ideal for flood modelling and other topologically driven analyses in
R. Pearson +12 more
wiley +1 more source
ABSTRACT Objective The Minnesota Electronic Health Record Consortium (MNEHRC) was established during the early days of the COVID‐19 pandemic to provide data for public health surveillance from the eleven largest health care systems in Minnesota. Methods This is a descriptive study of the Consortium, which is a federated network that implements best ...
Steven G. Johnson +12 more
wiley +1 more source

