Results 131 to 140 of about 3,322,155 (235)
For power transformers, the gas content in oil is used as the fault input feature quantity, and the accuracy of diagnosis results is not satisfactory. The problem of low accuracy of optimized extreme learning machine (ELM) of grey wolf optimization (GWO)
Yong Xu +5 more
doaj +1 more source
This graphical abstract provides a systematic bibliometric and thematic dissection of artificial intelligence applications for predicting pile load‐bearing capacity, synthesized from 135 rigorously selected studies published across the past three decades.
Mohammadreza Ahmadi Golsefidi +1 more
wiley +1 more source
Steady state analysis of modern industrial variable speed drive systems using controllers adjusted via grey wolf algorithm & particle swarm optimization. [PDF]
Nadweh S +4 more
europepmc +1 more source
Individualised Structural and Functional Frontostriatal Connectivity Mapping in Adult ADHD
We identified compromised structural and functional frontostriatal connectivity in adults with attention deficit hyperactivity disorder via individualised connectivity mapping. ABSTRACT Abundant research from early neurocognitive models to recent mega‐analyses has highlighted the central role of frontostriatal circuits in attention deficit ...
Tuija Tolonen +7 more
wiley +1 more source
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by persistent difficulties in social communication, social interaction, and repetitive behaviors. Early diagnosis is often hindered by subjective clinical assessments and limited data availability.
Sahar Alkhaibari, Feng Dong
wiley +1 more source
Short-Term Power Load Prediction Based on Level Processing Method and Improved GWO Algorithm
In the field of short-term power load prediction, the current prediction methods have low prediction accuracy. To address this issue, this study introduces level processing method and improved grey wolf genetic algorithm to predict short-term power load ...
Yuntong Li
doaj +1 more source
ABSTRACT This study develops an integrated simulation–optimization framework for sustainable crop allocation and water resource management in the Bargarh Canal Command (BCC), eastern India. Efficient irrigation allocation remains a critical challenge due to competing demands, groundwater–surface water interactions and environmental constraints ...
Priyanka Mohapatra +2 more
wiley +1 more source
An Enhanced Fuzzy Hybrid of Fireworks and Grey Wolf Metaheuristic Algorithms
This research work envisages addressing fuzzy adjustment of parameters into a hybrid optimization algorithm for solving mathematical benchmark function problems. The problem of benchmark mathematical functions consists of finding the minimal values. In this study, we considered function optimization. We are presenting an enhanced Fuzzy Hybrid Algorithm,
Juan Barraza +4 more
openaire +2 more sources
ABSTRACT Tissue‐specific resolution remains a critical barrier in liquid biopsy for precision medicine. To address this, we developed NEXPLOR (Novel EXtracellular vesicle PopuLation Omics Revealer), an immunoaffinity platform enabling selective enrichment of circulating tissue‐specific extracellular vesicles (TS‐EVs), demonstrated here for liver ...
Ricardo Figueiras +9 more
wiley +1 more source
A New Hybridization Approach between the Fireworks Algorithm and Grey Wolf Optimizer Algorithm
The main aim of this paper is to present a new hybridization approach for combining two powerful metaheuristics, one inspired by physics and the other one based on bioinspired phenomena.
Oscar Castillo +4 more
core +1 more source

