Evaluation metrics of the models’ performance. by Guangwei Liu (181992)

The diagram of the reactor’s moderator design node, containing the primary piping. by H Abdelfattah (17854644)

Optimized model prediction performance. by Guang Tu (22054865)

Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

“…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …”

Pseudocode of artificial dragonfly algorithm. by Ghassan Ahmed Ali (17041488)

“…<div><p>This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean <i>k</i>Satisfiability (EB<i>k</i>SAT) logical rule. …”

Data_Sheet_1_How can age-based vaccine allocation strategies be optimized? A multi-objective optimization framework.ZIP by Hao Wu (65943)

AIPSO algorithm flowchart. by Xiaohui Liu (6412)

The Hopfield artificial neural network algorithm. by Ghassan Ahmed Ali (17041488)

“…<div><p>This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean <i>k</i>Satisfiability (EB<i>k</i>SAT) logical rule. …”

Primary training parameters for the model. by Junjie Lu (160350)

Calibration plot of the apparent and optimism-corrected models. by Dominika Szabo (14129304)

Models’ performance without optimization. by Muhammad Usman Tariq (11022141)

“…To enhance the performance of these models, Bayesian optimization techniques were employed. …”

Zimbabwe model outputs on actual and optimized 2016 spending and impact by intervention. by Nicole Fraser-Hurt (2636833)

Methodology for minimum nitrogen compounds removal efficiencies estimation and wastewater treatment systems pre-selection: a watershed approach by Glaucia de Laia Nascimento Sá (7528922)

“…A water quality model and the Genetic Algorithm Metaheuristic were associated in order to solve the optimization problem. …”

Descriptive statistics of algorithms. by Fizza Shafique (19996292)

“…Model of the brushless DC motor using a sensorless control strategy incorporated metaheuristic algorithms is simulated on MATLAB (Matrix Laboratory)/Simulink. …”

Training error and accuracy for all HNN models. by Ghassan Ahmed Ali (17041488)

“…<div><p>This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean <i>k</i>Satisfiability (EB<i>k</i>SAT) logical rule. …”

Trainable parameters for different algorithms. by Anwar Hossain Efat (19942283)

MLP vs classification algorithms. by Mohd Mustaqeem (19106494)

“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …”

Côte d’Ivoire model outputs on actual and optimized 2016 spending and impact by care delivery platform. by Nicole Fraser-Hurt (2636833)

RMSE performance of various HNN-EB<i>k</i>SAT models. by Ghassan Ahmed Ali (17041488)

“…<div><p>This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean <i>k</i>Satisfiability (EB<i>k</i>SAT) logical rule. …”

Total primary energy demand by fuel in China. by Da Lian (18880882)