Results 101 to 110 of about 34,802 (225)
Firefly Algorithm for Economic Power Dispatching With Pollutants Emission [PDF]
Bio-inspired algorithms become among the most powerful algorithms for optimization. In this paper, we intend to provide one of the recent bio-inspired metaheuristic which is the Firefly Algorithm (FF) to optimize power dispatching.
Latifa DEKHICI +2 more
doaj
Time series predictive analysis based on hybridization of meta-heuristic algorithms [PDF]
This paper presents a comparative study which involved five hybrid meta-heuristic methods to predict the weather five days in advance. The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial ...
Ernawan, Ferda +4 more
core
ABSTRACT Cultivated peanut (Arachis hypogaea L.) is an important oilseed and cash crop, and seed sucrose content (SSC), seed oil content (SOC) and seed protein content (SPC) are key determinants of seed flavour, texture, and overall quality. Identifying quantitative trait loci (QTLs) and candidate genes associated with SSC, SOC and SPC is therefore of ...
Yuzhen Zheng +20 more
wiley +1 more source
Abstract Generating hydrogel beads pertains to many engineering applications. We examined two alginate‐based fluids at three concentrations of alginate, cAG. We used the “Map of Misery” to determine which material property (viscosity, elasticity, and inertia) drives droplet formation. Next, we measured the perimeter and circularity of hydrogel beads as
Conor G. Harris +5 more
wiley +1 more source
An Improved Technique Based on Firefly Algorithm to Estimate the Parameters of the Photovoltaic Model [PDF]
This paper present a method to enhance the firefly algorithm by coupling with a local search. The constructed technique is applied to identify the solar parameters model where the method has been proved its ability to obtain the photovoltaic parameters ...
Issa Ahmed Abed
doaj
Automatic Data Clustering Using Hybrid Firefly Particle Swarm Optimization Algorithm
The firefly algorithm is a nature-inspired metaheuristic optimization algorithm that has become an important tool for solving most of the toughest optimization problems in almost all areas of global optimization and engineering practices.
Moyinoluwa B. Agbaje +2 more
doaj +1 more source
ABSTRACT AI‐generated images have become so good in recent years that individuals often cannot distinguish them from ‘real’ images. This development, combined with the rapid spread of AI‐generated content online, creates a series of societal risks. Watermarking, a technique that involves embedding information within the content to indicate their AI ...
Bram Rijsbosch +2 more
wiley +1 more source
Liver stiffness promotes intrahepatic cholesterol accumulation by repressing LXRα through YAP/TAZ activation. Stiff matrices impair cholesterol efflux in hepatocytes, while YAP/TAZ deletion restores LXRα activity and prevents cholesterol‐induced fibrosis.
Na Young Lee +9 more
wiley +1 more source
Glucuronolactone (GLU) as a natural metabolite of glucose, increases Lactobacillus amylovorus abundance and luminal IAA level to activate AHR signaling. In addition, GLU itself can directly elevate AHR signaling activity independently of microbiota and IAA.
Chenbin Cui +8 more
wiley +1 more source
Tablet‐based handwriting tasks (spiral, meander, and wave) are transformed into unified images and analyzed using PD‐MGMA‐DSCNN, a lightweight multiscale gated attention network. Bayesian–genetic optimization improves performance, while SHAP attribution maps provide interpretable handwriting biomarkers for Parkinson's disease screening.
Khosro Rezaee, Ali Khalili Fakhrabadi
wiley +1 more source

