Fault recording signal. by Ning Ji (325849)

“…<div><p>In order to improve the accuracy of the transformer fault identification using nature-inspired algorithms, an identification method based on the GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. …”

Ablation study. by Ning Ji (325849)

“…<div><p>In order to improve the accuracy of the transformer fault identification using nature-inspired algorithms, an identification method based on the GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. …”

Dual-channel MLP-Attention model. by Ning Ji (325849)

“…<div><p>In order to improve the accuracy of the transformer fault identification using nature-inspired algorithms, an identification method based on the GWO (Grey Wolf Optimizer)-optimized Dual-channel MLP (Multilayer Perceptron)-Attention is proposed. …”

code by Hongchen LIU (22597814)

“…A two-stage hybrid solution framework, integrating Gray Wolf Optimization (GWO) and Sparrow Search Algorithm (SSA), is proposed to solve the model.…”

IROA flow chart. by Wafaa Alsaggaf (21465030)

“…The performance of IROA is evaluated on systems with 20 and 50 users and compared against established algorithms such as Differential Evolution (DE), Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Augmented Jellyfish Search Optimization Algorithm (AJFSOA), and Jellyfish Search Optimization Algorithm (JFSOA). …”

System model. by Wafaa Alsaggaf (21465030)

“…The performance of IROA is evaluated on systems with 20 and 50 users and compared against established algorithms such as Differential Evolution (DE), Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Augmented Jellyfish Search Optimization Algorithm (AJFSOA), and Jellyfish Search Optimization Algorithm (JFSOA). …”

Four different cases under investigation. by Wafaa Alsaggaf (21465030)

“…The performance of IROA is evaluated on systems with 20 and 50 users and compared against established algorithms such as Differential Evolution (DE), Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Augmented Jellyfish Search Optimization Algorithm (AJFSOA), and Jellyfish Search Optimization Algorithm (JFSOA). …”

System parameters by Wafaa Alsaggaf (21465030)

“…The performance of IROA is evaluated on systems with 20 and 50 users and compared against established algorithms such as Differential Evolution (DE), Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Augmented Jellyfish Search Optimization Algorithm (AJFSOA), and Jellyfish Search Optimization Algorithm (JFSOA). …”

Cutting-Edge Hybrid Machine Learning Models for Forecasting the Acid Resistance of Cementitious Composites Incorporating Eggshell and Glass Powders by Irfan Ullah (847820)

“…Support vector regression (SVR) was integrated with sophisticated metaheuristic optimization techniques, namely the particle swarm optimization (PSO), firefly algorithm (FFA), and gray wolf optimization (GWO), to develop advanced forecasting models for the CSAA of cementitious composites. …”

Representative flux distribution for aerobic growth on (A) glucose, (B) pyruvate, (C) succinate, (D) L-lactate, (E) glycerol, and (F) L-glutamate for optimal growth with maximum al... by Evangelia Vayena (20861768)

Table of companies. by Nasiru Salihu (14803855)

“…We rigorously establish the global convergence of the algorithm for general functions, using criteria from a Wolfe-line search. …”

Table of Stock allocation. by Nasiru Salihu (14803855)

“…We rigorously establish the global convergence of the algorithm for general functions, using criteria from a Wolfe-line search. …”

CPUT performance profile. by Nasiru Salihu (14803855)

“…We rigorously establish the global convergence of the algorithm for general functions, using criteria from a Wolfe-line search. …”

NOI performance profile. by Nasiru Salihu (14803855)

“…We rigorously establish the global convergence of the algorithm for general functions, using criteria from a Wolfe-line search. …”

Table of mean of returns. by Nasiru Salihu (14803855)

“…We rigorously establish the global convergence of the algorithm for general functions, using criteria from a Wolfe-line search. …”

Table of covariance between stocks (). by Nasiru Salihu (14803855)

“…We rigorously establish the global convergence of the algorithm for general functions, using criteria from a Wolfe-line search. …”

NOF performance profile. by Nasiru Salihu (14803855)

“…We rigorously establish the global convergence of the algorithm for general functions, using criteria from a Wolfe-line search. …”

<i>In silico</i> minimal media analysis. (A) Statistics for the generated iMMs. by Evangelia Vayena (20861768)

Pearson correlation coefficient matrix heat map. by Yubo Zhao (3873457)

“…In this study, a hybrid machine learning model for river DO prediction, called DWT-KPCA-GWO-XGBoost, is proposed, which combines the discrete wavelet transform (DWT), kernel principal component analysis (KPCA), gray wolf optimization algorithm (GWO), and extreme gradient boosting (XGBoost). …”

Multi-step prediction error. by Yubo Zhao (3873457)

“…In this study, a hybrid machine learning model for river DO prediction, called DWT-KPCA-GWO-XGBoost, is proposed, which combines the discrete wavelet transform (DWT), kernel principal component analysis (KPCA), gray wolf optimization algorithm (GWO), and extreme gradient boosting (XGBoost). …”