Results 71 to 80 of about 4,362 (249)
IEEE Access, 2021 Systems of nonlinear equations are known as the basis for many models of engineering and data science, and their accurate solutions are very critical in achieving progress in these fields.
Rami Sihwail +5 more
doaj +1 more source
Distributed Fog-based Resource Allocation Hybrid Approach using Metaheuristic Optimizers for Mobile Networks [PDF]
Background: In recent years, the increasing use of the mobile fog server application has generated excessive amounts of data of different types, such as images, documents, multimedia, and other files.
Ebrahim , Zahraa Husam +1 more
core +2 more sources
Journal of Management Studies, EarlyView.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
Data-driven Harris Hawks constrained optimization for computationally expensive constrained problems
Complex & Intelligent Systems, 2022 Aiming at the constrained optimization problem where function evaluation is time-consuming, this paper proposed a novel algorithm called data-driven Harris Hawks constrained optimization (DHHCO).
Chongbo Fu +3 more
doaj +1 more source
An Improved Harris Hawk Optimization Algorithm
Mechanical Engineering ScienceAiming 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
Biomimetics, 2023 In this paper, we introduce a new hybrid optimization method for the inverse design of metasurfaces, which combines the original Harris hawks optimizer (HHO) with a gradient-based optimization method.
Kofi Edee
doaj +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]
, 2023 Ankur Khare +2 more
openalex +1 more source
Brain and Behavior, Volume 16, Issue 5, May 2026.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
Hand gesture recognition based on a Harris Hawks optimized Convolution Neural Network [PDF]
Hand gestures are an effective method of communication, especially when we are communicating with people who cannot understand our spoken language. Furthermore, it is a key aspect to human–computer interaction.
Chowdhary, Chiranji Lal +6 more
core +1 more source
Engineering Reports, Volume 8, Issue 5, May 2026.This review evaluates advanced intelligent fault diagnosis and resilient fault‐tolerant control strategies for modular multilevel converters (MMCs). It highlights how integrating machine learning with robust control architectures enhances reliability and operational continuity, providing a roadmap for developing more resilient, self‐healing power ...
Muhammad Haris Saleem +3 more
wiley +1 more source