Results 71 to 80 of about 5,490 (253)
An Improved Harris Hawk Optimization Algorithm
Aiming at the problems that the original Harris Hawk optimization algorithm is easy to fall into local optimum and slow in finding the optimum, this paper proposes an improved Harris Hawk optimization algorithm (GHHO). Firstly, we used a Gaussian chaotic mapping strategy to initialize the positions of individuals in the population, which enriches the ...
GuangYa Chong, Yongliang YUAN
openaire +1 more source
A Comparison of Water Vapor Line Parameters for Modeling the Venus Deep Atmosphere
The discovery of the near infrared windows into the Venus deep atmosphere has enabled the use of remote sensing techniques to study the composition of the Venus atmosphere below the clouds. In particular, water vapor absorption lines can be observed in a
Allen +59 more
core +1 more source
HHOA_NCA – a Harris Hawk Optimization Algorithm (HHOA) on best possible Node Capture Attack (NCA) in Future WSN for Improving the Security of Ubiquitous Computing Intelligent System [PDF]
Ankur Khare +2 more
openalex +1 more source
Abstract As predictive artificial intelligence (AI) technologies increasingly steer workplace decisions, debates around fairness have intensified. Existing research often approaches fairness either as a set of universal principles supported or undermined by algorithms, or as a product of social interpretations, thereby providing either technologically ...
Elmira van den Broek +2 more
wiley +1 more source
MSI-HHO: Multi-Strategy Improved HHO Algorithm for Global Optimization
The Harris Hawks Optimization algorithm (HHO) is a sophisticated metaheuristic technique that draws inspiration from the hunting process of Harris hawks, which has gained attention in recent years.
Haosen Wang, Jun Tang, Qingtao Pan
doaj +1 more source
Hybrid Binary Grey Wolf With Harris Hawks Optimizer for Feature Selection
Despite Grey Wolf Optimizer's (GWO) superior performance in many areas, stagnation in local optima areas may still be a concern. Several significant GWO factors can be explored to enhance the performance of selection in classification, with two ...
Ranya Al-Wajih +4 more
doaj +1 more source
Enhancing spam detection using Harris Hawks optimization algorithm [PDF]
This paper employs machine learning (ML) algorithms to identify and classify spam emails. The Harris Hawks optimization (HHO) algorithm can detect the crucial features that distinguish spam from ham emails.
Adel Abu-Shareha, Ahmad +4 more
core +2 more sources
Manta Ray Foraging Optimization Algorithm (MRFO) is a new bio-inspired, meta-heuristic algorithm. MRFO algorithm has been used for the first time to optimize a multi-objective problem. The best size and location of distributed generations (DG) units have
Mahmoud G. Hemeida +4 more
doaj +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
Memorial University of Newfoundland's student newspaper, providing coverage of university life as well as national and international news relating to students.Frequency: biweekly, 1951-present. Not published: March 1954? - April 1955.
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