Enhanced diagnosing patients suspected of sarcoidosis using a hybrid support vector regression model with bald eagle and chimp optimizers DOI Creative Commons
Guogang Xie,

Hani Attar,

Ayat Alrosan

et al.

PeerJ Computer Science, Journal Year: 2024, Volume and Issue: 10, P. e2455 - e2455

Published: Dec. 5, 2024

Searching for a reliable indicator of treatment response in sarcoidosis remains challenge. The use the soluble interleukin 2 receptor (sIL-2R) as measure disease activity has been proposed by researchers. A machine learning model was aimed to be developed this study predict sIL-2R levels based on patient's serum angiotensin-converting enzyme (ACE) levels, potentially aiding lung function evaluation. novel forecasting (SVR-BE-CO) prediction is introduced, which combines support vector regression (SVR) with hybrid optimization (BES-CO); composed Bald Eagle Optimizer (BES) and Chimp (CO) model. In model, hyper-parameters SVR are optimized BES-CO ultimately improving accuracy predicted values. SVR-BE-CO evaluated against various methods, including Hybrid Firefly Algorithm (SVR-FFA), decision tree (DT), Gray Wolf Optimization (SVR-GWO) random forest (RF). It demonstrated that surpasses all other methods terms accuracy.

Language: Английский

GAN-MAML strategy for biomass energy production: Overcoming small dataset limitations DOI
Yi Zhang,

Yanji Hao,

Yu Fu

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 387, P. 125568 - 125568

Published: March 4, 2025

Language: Английский

Citations

0
Presenting and solving a sustainable multi-objective model of the hospital waste management supply chain during pandemic under fuzzy condition DOI Open Access
Mozhgan Azarkish,

Zahra Hajial

Asian Journal of Basic Science & Research, Journal Year: 2024, Volume and Issue: 06(01), P. 65 - 92

Published: Jan. 1, 2024

In this article, a four-objective mathematical model for the reverse supply chain of hospital waste management during Corona epidemic in Iran is presented. The objectives presented are: 1) Minimization costs, including cost setting facilities up, processing, vehicle fuel and environmental costs resulting from emission polluting gases; 2) maximizing energy produced by burning waste; 3) Minimizing risk contracting virus non-management or mismanagement 4) Maximizing amount employment labor established facilities. Due to being multi-objective nature model, two horse herd optimization algorithm (HOA) based on Pareto Archive NSGA-II have been used solve problem. results solving showed that proposed HOA able achieve solutions with higher quality diversity an accuracy 26% compared algorithm. Additionally, comparison spacing metric execution time algorithms show searches solution space uniformity solves less time.

Language: Английский

Citations

2
Possibilities of RDF Pyrolysis Products Utilization in the Face of the Energy Crisis DOI Creative Commons
Magdalena Skrzyniarz, Marcin Sajdak, Monika Zajemska

et al.

Energies, Journal Year: 2023, Volume and Issue: 16(18), P. 6695 - 6695

Published: Sept. 19, 2023

The main goal of the study was to assess possibility practical use products pyrolysis refuse-derived fuel (RDF), i.e., gas, biochar and oil, as an alternative standard fossil fuels. subject matter paper reaches out challenges faced by global economy, not only in context energy crisis, but also transformation currently beginning Europe. increase prices prompts countries look for solutions Russian minerals. At same time, growing amount municipal waste forces implementation based on recovery (the per EU inhabitant 2021 is 530 kg). One such solution RDF, fuels produced from over-sieve fraction waste. In Poland, insufficient processing capacity thermal conversion plants has led significant surpluses RDF (1.2 million Mg undeveloped Poland 2021). due their high calorific value, can be a valuable resource (16–18 MJ/k). This issue analyzed this study.

Language: Английский

Citations

3
On the new solution to interval linear fractional programming problems DOI
A. Khastan,

Bienvenido Jiménez,

A. Beato Moreno

et al.

Evolutionary Intelligence, Journal Year: 2024, Volume and Issue: 17(5-6), P. 4001 - 4005

Published: Aug. 20, 2024

Language: Английский

Citations

0
Evaluating the Economic Viability of Solid Waste Recycling Facilities: A Stochastic Approach Using Monte Carlo Simulation DOI
Alperen Bal, Michele Cedolin

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 75 - 82

Published: Jan. 1, 2024

Language: Английский

Citations

0
Enhanced diagnosing patients suspected of sarcoidosis using a hybrid support vector regression model with bald eagle and chimp optimizers DOI Creative Commons
Guogang Xie,

Hani Attar,

Ayat Alrosan

et al.

PeerJ Computer Science, Journal Year: 2024, Volume and Issue: 10, P. e2455 - e2455

Published: Dec. 5, 2024

Searching for a reliable indicator of treatment response in sarcoidosis remains challenge. The use the soluble interleukin 2 receptor (sIL-2R) as measure disease activity has been proposed by researchers. A machine learning model was aimed to be developed this study predict sIL-2R levels based on patient's serum angiotensin-converting enzyme (ACE) levels, potentially aiding lung function evaluation. novel forecasting (SVR-BE-CO) prediction is introduced, which combines support vector regression (SVR) with hybrid optimization (BES-CO); composed Bald Eagle Optimizer (BES) and Chimp (CO) model. In model, hyper-parameters SVR are optimized BES-CO ultimately improving accuracy predicted values. SVR-BE-CO evaluated against various methods, including Hybrid Firefly Algorithm (SVR-FFA), decision tree (DT), Gray Wolf Optimization (SVR-GWO) random forest (RF). It demonstrated that surpasses all other methods terms accuracy.

Language: Английский

Citations

0