Results 61 to 70 of about 2,156 (195)

Improved Harris Hawks Optimization Using Elite Opposition-Based Learning and Novel Search Mechanism for Feature Selection

open access: yesIEEE Access, 2020
The rapid increase in data volume and features dimensionality have a negative influence on machine learning and many other fields, such as decreasing classification accuracy and increasing computational cost.
Rami Sihwail   +3 more
doaj   +1 more source

Large Language Models in Electrical and Computer Engineering Education: Opportunities, Challenges and the Road Ahead

open access: yesEuropean Journal of Education, Volume 61, Issue 3, September 2026.
ABSTRACT Electrical and Computer Engineering (EE/CE) education encompasses the rigorous study of electronic systems, computing architectures, embedded platforms, signal processing and hardware–software integration. Its inherently multidisciplinary nature demands mastery of mathematical modelling and experimental validation skills that pose substantial ...
Abdulmalik Alwarafy
wiley   +1 more source

Harris Hawk optimization algorithm with combined perturbation strategy and its application. [PDF]

open access: yesSci Rep
Solving complex engineering optimization problems can improve design quality, reduce costs, and enhance performance and reliability. However, these problems are often nonlinear, non-convex, and multimodal. The Harris Hawk Optimization (HHO) algorithm has limitations such as poor exploration-exploitation balance, tendency to fall into local optima, slow
Wang Z, Wei X.
europepmc   +3 more sources

Is There Fairness in AI?

open access: yesJournal of Management Studies, Volume 63, Issue 6, Page 3494-3531, September 2026.
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

Harris Hawks Optimization-Based Algorithm for STATCOM Voltage Regulation of Offshore Wind Farm Grid [PDF]

open access: yes, 2022
Wind energy is among the fastest-growing electric energy resources worldwide. As the electric power generated by wind turbines (WTs) varies, the WT-connected bus voltage fluctuates.
Yu-Jen Liu   +6 more
core   +1 more source

Data-driven Harris Hawks constrained optimization for computationally expensive constrained problems

open access: yesComplex & 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

Hybrid Harris Hawks With Sine Cosine for Optimal Node Placement and Congestion Reduction in an Industrial Wireless Mesh Network

open access: yesIEEE Access, 2023
The optimal performance of a wireless mesh network (WMN) can be greatly improved by strategically placing wireless mesh routers. As a result, it is crucial to optimally locate the WMN routers for better coverage and connectivity.
Hakim Q. A. Abdulrab   +6 more
doaj   +1 more source

Unshrouding Social Determinants: A Case for Standardised Data in Australia's Health Information Ecosystem

open access: yesMedical Journal of Australia, Volume 224, Issue 8, August 2026.
ABSTRACT Australia's health information system captures clinical and administrative data with precision but overlooks social determinants of health (SDoH), such as housing and education. This deficiency limits predictive accuracy of clinical and economic models and perpetuates health inequities. Despite significant investment in digital health reforms,
Christopher Ryan   +4 more
wiley   +1 more source

A Hybrid Approach for Solving Systems of Nonlinear Equations Using Harris Hawks Optimization and Newton’s Method

open access: yesIEEE 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

Comparative Assessment and Benchmarking of Metaheuristic Algorithms for Dynamic Photovoltaic Array Reconfiguration Under Diverse Shading Environments

open access: yesEnergy Science &Engineering, Volume 14, Issue 7, Page 3272-3309, July 2026.
ABSTRACT The solar photovoltaic (PV) installations, which are essential for renewable energy systems, are vulnerable to partial shading, resulting in considerable power losses and operational inefficiencies. The dynamic reconfiguration of PV arrays has become an effective strategy to mitigate these effects by adaptively modifying the array topology to ...
Manoharan Premkumar   +3 more
wiley   +1 more source

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