Results 161 to 170 of about 1,260 (226)

A comparison of the renal function biomarkers serum creatinine, pro-enkephalin and cystatin C to predict clearance of pemetrexed. [PDF]

open access: yesCancer Chemother Pharmacol
de Rouw N   +10 more
europepmc   +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

A Cross-Sectional Study of Measles-Specific Antibody Levels in Australian Blood Donors-Implications for Measles Post-Elimination Countries. [PDF]

open access: yesVaccines (Basel)
Williamson KM   +8 more
europepmc   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang   +5 more
wiley   +1 more source

Predicting outcomes of expectant and medical management in early pregnancy miscarriage using machine learning to develop and validate multivariable clinical prediction models. [PDF]

open access: yesBMC Pregnancy Childbirth
Murugesu S   +12 more
europepmc   +1 more source

Design and Validation of Zeroing Neural Network With Active Noise Rejection Capability for Time‐Varying Problems Solving

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Recently, the zeroing neural network (ZNN) has demonstrated remarkable effectiveness in tackling time‐varying problems, delivering robust performance across both noise‐free and noisy environments. However, existing ZNN models are limited in their ability to actively suppress noise, which constrains their robustness and precision in solving ...
Yilin Shang   +3 more
wiley   +1 more source

Fixed‐Time Zeroing Neural Dynamics for Adaptive Coordination of Multi‐Agent Systems

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper presents an adaptive multi‐agent coordination (AMAC) strategy suitable for complex scenarios, which only requires information exchange between neighbouring robots. Unlike traditional multi‐agent coordination methods that are solved by neural dynamics, the proposed strategy displays greater flexibility, adaptability and scalability ...
Cheng Hua   +3 more
wiley   +1 more source

Robust uncertainty mitigation for multiple microgrids based on online response strategy of energy storage systems

open access: yesEnergy Conversion and Economics, EarlyView.
Abstract The high penetration of renewable energy sources introduces uncertainty, posing significant challenges to the secure operation of multiple microgrids interconnected through lower voltage flexible interconnection devices. To address power and voltage fluctuations caused by these uncertainties, this paper proposes a robust optimisation method ...
Yingjie Tan   +5 more
wiley   +1 more source

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