Results 191 to 200 of about 129,225 (287)
All-optical <i>in vivo</i> photoacoustic tomography by adaptive multilayer acoustic backpropagation. [PDF]
Yoon T +5 more
europepmc +1 more source
Abstract Fiber reinforced polymer (FRP) wrapping technology is commonly used to enhance the compressive strength (CS) of reinforced concrete (RC) members. Accurate prediction of the compressive strength of FRP‐confined concrete columns is crucial for optimizing structural design and helps reduce the time and costs associated with physical testing ...
XuanRui Yu +5 more
wiley +1 more source
Mitigating the Vanishing Gradient Problem Using a Pseudo-Normalizing Method. [PDF]
Bu Y, Jiang W, Lu G, Zhang Q.
europepmc +1 more source
Enterprise Network Security Using Few‐Shot Meta‐Learning
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
Artificial Neural Networks for Predicting Emissions from the Livestock Sector: A Review. [PDF]
Santoro LM +4 more
europepmc +1 more source
Abstract Abnormalities in the heart's rhythm, known as arrhythmias, pose a significant threat to global health, often leading to severe cardiac conditions and sudden cardiac deaths. Therefore, early and accurate detection of arrhythmias is crucial for timely intervention and potentially life‐saving treatment.
Hasnain Ali Shah +4 more
wiley +1 more source
Comparative Prediction of Methane Production In Vitro Using Multiple Regression Model and Backpropagation Neural Network Based on Cornell Net Carbohydrate and Protein System. [PDF]
Yu G, Li Z, Dong R.
europepmc +1 more source
Boosted unsupervised feature selection for tumor gene expression profiles
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
Aeromagnetic Compensation for UAVs Using Transformer Neural Networks. [PDF]
Dai W, Yang C, Zhou S.
europepmc +1 more source

