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. …”

<i>MAPE performance of various</i> 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. …”

G<i>m</i>R 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. …”

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. …”

Flowchart for HNN-EB<i>k</i>SAT implementation procedure. by Ghassan Ahmed Ali (17041488)

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. …”

List of some parameters of the ADA-HNN- EB<i>k</i>SAT model. by Ghassan Ahmed Ali (17041488)

Table_1_Primary Tumor Site Specificity is Preserved in Patient-Derived Tumor Xenograft Models.xlsx by Lei Chen (54296)

Flow diagram of Wan Abdullah method for HNN. 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. …”

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. …”

Forest plot of failure rate and efficiency of the diagnostic strategies across healthcare settings. by Geert-Jan Geersing (331049)

Data_Sheet_1_Utilization of a Meningitis/Encephalitis PCR panel at the University Hospital Basel – a retrospective study to develop a diagnostic decision rule.DOCX by Andrea Erba (15420463)

Table_1_Reinforcement learning for watershed and aquifer management: a nationwide view in the country of Mexico with emphasis in Baja California Sur.XLSX by Roberto Ortega (18525597)

“…<p>Reinforcement Learning (RL) is a method that teaches agents to make informed decisions in diverse environments through trial and error, aiming to maximize a reward function and discover the optimal Q-learning function for decision-making. In this study, we apply RL to a rule-based water management simulation, utilizing a deep learning approach for the Q-learning value function. …”