Results 231 to 240 of about 207,625 (321)
Decision‐Making Method for Sectionalizing of Parallel Restoration After a Blackout
Parallel restoration is used to bring the power grid back online after a blackout. The initial step involves sectionalizing the system, which is carried out by six key criteria. The AHP is used for the first time to determine the optimal sectionalizing strategy.
Mahdi Arefian +2 more
wiley +1 more source
Optimization of rural green building design in Northwestern Hunan based on LCA and AHP. [PDF]
Peng Y.
europepmc +1 more source
This study addresses UAV noise pollution and user needs by proposing a user‐centric framework combining quality function deployment and fuzzy best–worst method to prioritise key demands, with ‘environmental design’ and ‘technical performance’ emerging as critical factors.
Yu Lin +3 more
wiley +1 more source
Total bile acid concentrations and adverse perinatal outcomes in chinese intrahepatic cholestasis of pregnancy including asymptomatic hypercholanemia of pregnancy: a retrospective cohort study. [PDF]
Yao L +6 more
europepmc +1 more source
Video tracking of mice demonstrated how exploratory performance at 4 months of age was a strong predictor of performance at 18 months of age. This longitudinal testing revealed that cognitive ability is a stable trait in adult mice that was associated with stable brain morphology and neuronal excitability.
R. Abuhamdah +11 more
wiley +1 more source
A knowledge-informed neural network integrating fuzzy AHP and PCA for SME credit risk assessment. [PDF]
Li T, Ali MKM.
europepmc +1 more source
ABSTRACT Background Disparity in access to services for children with neurodevelopmental disabilities is a modifiable barrier to improving health, functional outcomes and social participation. Unfortunately, children and youth with neurodevelopmental disabilities face many barriers in accessing education and disability services and support.
Patricia Basualto +4 more
wiley +1 more source
Evaluating TOD performance through node-place model: evidence from bus stop areas in Windhoek, Namibia. [PDF]
Cui N, Yang H, Mwetuhafifa NM.
europepmc +1 more source
Detection of APTs by Machine Learning: A Performance Comparison
ABSTRACT Recent advances in machine learning and deep learning have significantly impacted multiple domains, including computer vision, natural language processing and cybersecurity. In the context of increasingly sophisticated Advanced Persistent Threats (APTs), deep learning models have shown strong potential for network intrusion detection by ...
Marcos Luengo Viñuela +5 more
wiley +1 more source

