Results 61 to 70 of about 1,730 (172)
Energy Science &Engineering, Volume 14, Issue 7, Page 3346-3387, July 2026.The proposed hybrid osprey‐salp swarm optimization algorithm addresses optimal power flow (OPF) problems in smart grids incorporating solar, hydro, and thermal generators. The algorithm is validated on Institute of Electrical and Electronics Engineers 30‐, 57‐, and 118‐bus test systems across five single and multiobjective OPF scenarios.
Mujtaba Ali +5 more
wiley +1 more source
Earth and Space Science, Volume 13, Issue 7, July 2026.Abstract Particulate Matter 2.5 is a major air pollutant that can deeply penetrate the respiratory system and enter the bloodstream when inhaled. The current study employs the use of both Nature inspired Meta‐heuristic optimization algorithms and Ensemble Machine learning techniques for the estimation of Particulate Matter 2.5 value using Sulfur ...
Abdullahi G. Usman +7 more
wiley +1 more source
Curator: The Museum Journal, Volume 69, Issue 3, Page 425-436, July 2026.ABSTRACT Within Aotearoa New Zealand there is a growing body of evidence which shows that embedding cultural elements within student experience is a key contribution to the educational success of Māori and Pasifika students. This article describes how the Waipapa Taumata Rau University of Auckland Art Collection team collaborates with indigenous ...
Nigel Bond +2 more
wiley +1 more source
From Tweets to Tyranny: Exploring the Symmetry Between State and Social Media Censorship of Speech
Journal of Social Philosophy, EarlyView.
Bhanuraj Kashyap, Paul Formosa
wiley +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
Deep Underground Science and Engineering, Volume 5, Issue 2, Page 446-464, June 2026.A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
MO‐hHHO: Multi‐Objective Hybrid Harris Hawks Optimization for Prediction of Coronary Artery Disease
Advanced Intelligent SystemsCoronary artery disease is a major cause of mortality and morbidity worldwide, underscoring the need for accurate diagnosis to ensure effective treatment.
Anu Ragavi Vijayaraj +1 more
doaj +1 more source
Shanghai Jiaotong Daxue xuebaoHazardous chemical gas leakage accidents pose significant threats to public safety and the environment, and how to accurately locate the leakage source strength and location is particularly important.
CHEN Zengqiang, QI Congcong, ZHAO Yiwen, CHENG Yi
doaj +1 more source
Cyberinfrastructure to support ecological forecasting challenges
Ecosphere, Volume 17, Issue 6, June 2026.Abstract Ecological forecasting challenges, formalized efforts to empower the ecology community to develop near‐term iterative forecasts of yet‐to‐be‐collected data, are a powerful tool to advance predictive capacities in ecology. The National Ecological Observatory Network (NEON) Ecological Forecasting Challenge, which has processed over 82 million ...
R. Quinn Thomas, Carl Boettiger
wiley +1 more source
IEEE 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
An Improved Harris Hawks Optimization (HHO) Algorithm
Abstract Harris hawks optimization is a recently introduced optimization algorithm motivated form the killer nature of bird called Harris hawks. They kill their prey using different strategies depending upon the escaping energy of prey. They usually hunt in packs of two to six hawks.
Navreet Kaur, Isha Dhingra
openaire +1 more source