Results 181 to 190 of about 133,406 (290)

Computational intelligence model for predicting the compressive strength of FRP‐confined concrete column

open access: yesStructural Concrete, EarlyView.
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

Modeling the lung‒brain axis in critical illness: Multifactorial crosstalk through organoids and organ‐on‐a‐chip system

open access: yesVIEW, EarlyView.
Patients in intensive care units often experience lung injuries, complicated by brain problems. Advanced laboratory tools, organoids, and organs‐on‐chips facilitated the study of multiorgan interactions, help us understand the communication between the lungs and brain.
Wanyi Zhang   +5 more
wiley   +1 more source

Harnessing energy metabolism for enhanced bone defect repair: Mechanisms and therapeutic strategies

open access: yesVIEW, EarlyView.
This review addresses the critical challenge of bone defect repair by focusing on the underexplored role of cellular energy metabolism. It synthesizes regulatory mechanisms in bone‐forming cells and sums up innovative strategies—leveraging cell derivatives, active factors, and biomimetic scaffolds—to modulate metabolism for enhanced regeneration.
Junting Li   +5 more
wiley   +1 more source

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

open access: yesWildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge   +4 more
wiley   +1 more source

Micro‐Mechanism Informed Neural Networks for Process‐Property Prediction in Laser Powder Bed Fusion

open access: yesArtificial Intelligence for Engineering, EarlyView.
Hard physics embedding, where neural networks learn residuals relative to analytical baselines, substantially outperforms soft loss‐function constraints for extrapolation in LPBF process–property prediction. Physics integration architecture determines generalization capability more than constraint quantity.
Yo‐Lun Yang
wiley   +1 more source

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

Graph neural network‐based attack prediction for communication‐based train control systems

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy