Results 161 to 170 of about 55,623 (279)
This study proposes a novel Asymmetrical‐Fuzzy Two‐Degree‐of‐Freedom Tilt‐Integral‐Derivative (AF‐2DOF‐TIDF) controller for load frequency control in a multi‐area, multi‐source power system integrating Hydrogen‐Aqua‐Electrolyzer‐Fuel‐Cell (HAE‐FC) units and a Unified Power Flow Controller (UPFC).
Getaneh Mesfin Meseret, M. Bala Anand
wiley +1 more source
An efficient churn prediction model using gradient boosting machine and metaheuristic optimization. [PDF]
AlShourbaji I +5 more
europepmc +1 more source
Optimizing a Machine Learning Algorithm by a Novel Metaheuristic Approach: A Case Study in Forecasting [PDF]
Bahadır Gülsün, Muhammed Resul Aydin
openalex +1 more source
A Practical Real‐Time Observer‐Based Radiation Prediction Algorithm for Solar Plants
A novel radiation prediction method is proposed. The model's existence is verified by applying real data to an offline identifier. An adaptive state/parameter estimator is developed to identify the model. The identification process occurs in real‐time, independent of specific situations. The method offers universal radiation prediction.
S. Sepehr Tabatabaei +2 more
wiley +1 more source
A hybrid ensemble deep learning framework with novel metaheuristic optimization for scalable malicious website detection. [PDF]
Yang T, Sun J.
europepmc +1 more source
Modular and Automated Workflow for Streamlined Raman Signal Analysis
This study presents an automated workflow for preprocessing and analyzing Raman spectroscopy data, addressing key challenges such as noise suppression, baseline correction, and peak fitting using Voigt profiles. The method is validated on both synthetic and experimental spectra, demonstrating improved spectral fidelity and peak detection for biomedical
Mykyta Kizilov +3 more
wiley +1 more source
GlioSurvQNet: A DuelContextAttn DQN Framework for Brain Tumor Prognosis with Metaheuristic Optimization. [PDF]
Renugadevi M +4 more
europepmc +1 more source
Multiclass feature selection with metaheuristic optimization algorithms: a review. [PDF]
Akinola OO +4 more
europepmc +1 more source
Abstract Cokriging is a widely used geostatistical method for modeling the shallow groundwater table, often incorporating digital elevation models (DEMs) as secondary variables. However, existing approaches rarely include robust validation procedures to reduce local uncertainty or iteratively improve spatial predictions.
Massimiliano Schiavo, Daniele Pedretti
wiley +1 more source

