Results 241 to 250 of about 13,969 (287)

Enterprise Network Security Using Few‐Shot Meta‐Learning

open access: yesArtificial Intelligence for Engineering, EarlyView.
This paper involves a few‐shot learning study that uses model‐agnostic meta‐learning. A meta‐dataset was curated by combining six benchmark network intrusion detection datasets by parsing network traffic data from PCAP files. An MAML model performs meta‐training, validation and meta‐testing before and after fine‐tuning.
Sushant Jain   +4 more
wiley   +1 more source

Boosted unsupervised feature selection for tumor gene expression profiles

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi   +5 more
wiley   +1 more source

Nitrogen Enables Superior Strength-Ductility Synergy in Ultra-Low Carbon Steel via Copious Interphase Precipitation and Grain Refinement. [PDF]

open access: yesMaterials (Basel)
Zhu Q   +13 more
europepmc   +1 more source

Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
wiley   +1 more source

A Semantic Segmentation Network for Colorectal Polyp Images With Progressive Fusion of Dual‐Branch Features

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate segmentation of colorectal polyps is essential for early colorectal cancer screening, yet remains challenging due to weak foreground–background contrast, disrupted boundaries caused by specular reflections and intestinal folds, and pronounced scale variation among polyps. These factors make it difficult for existing methods to jointly
Tianxu Yan   +8 more
wiley   +1 more source

Magnetic coupling transforms random snapping into ordered sequences in soft metamaterials. [PDF]

open access: yesSci Adv
Sun H   +7 more
europepmc   +1 more source

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