Q-value of comparison of algorithms with WOA. 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. …”

p-values of comparison of algorithms with WOA. 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. …”

A Machine Learning-Optimized System for Pulsatile, Photo- and Chemotherapeutic Treatment Using Near-Infrared Responsive MoS₂‑Based Microparticles in a Breast Cancer Mode... by Maria Kanelli (5494031)

“…MoS₂ nanosheets exhibit high photothermal conversion efficiency and require low-power laser irradiation. A machine learning algorithm was applied to acquire the optimal laser operation conditions. …”

<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. …”

Flowchart of simple ant colony algorithm. by Yang Yu (4292)

“…Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …”

A portfolio selection model based on the knapsack problem under uncertainty by Fereshteh Vaezi (6655028)

“…The resulted model is converted into a parametric linear programming model in which the decision maker is able to determine the optimism threshold. …”

Armenia model outputs on optimized resource allocation and health impact by EUHC care package (2019 vs. higher budget scenario). by Nicole Fraser-Hurt (2636833)

Table_3_Primary Tumor Site Specificity is Preserved in Patient-Derived Tumor Xenograft Models.docx by Lei Chen (54296)

Table_2_Primary Tumor Site Specificity is Preserved in Patient-Derived Tumor Xenograft Models.docx by Lei Chen (54296)

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

SATCOM hub station redundancy algorithm. by Bilal Muhammad Khan (16050362)

Improving Gibberellin GA₃ Production with the Construction of a Genome-Scale Metabolic Model of Fusarium fujikuroi by Ya-Wen Li (1733782)

“…We used the model to optimize fermentation conditions, including carbon sources and dissolved oxygen. …”

Improving Gibberellin GA₃ Production with the Construction of a Genome-Scale Metabolic Model of Fusarium fujikuroi by Ya-Wen Li (1733782)

“…We used the model to optimize fermentation conditions, including carbon sources and dissolved oxygen. …”

Improving Gibberellin GA₃ Production with the Construction of a Genome-Scale Metabolic Model of Fusarium fujikuroi by Ya-Wen Li (1733782)

“…We used the model to optimize fermentation conditions, including carbon sources and dissolved oxygen. …”

Improving Gibberellin GA₃ Production with the Construction of a Genome-Scale Metabolic Model of Fusarium fujikuroi by Ya-Wen Li (1733782)

“…We used the model to optimize fermentation conditions, including carbon sources and dissolved oxygen. …”

Improving Gibberellin GA₃ Production with the Construction of a Genome-Scale Metabolic Model of Fusarium fujikuroi by Ya-Wen Li (1733782)

“…We used the model to optimize fermentation conditions, including carbon sources and dissolved oxygen. …”

Case 2: PADR with load scheduling. by Hisham Alghamdi (20114096)

“…Time-varying pricing, intermittent renewable energy, domestic appliance energy demand, storage battery, and grid constraints are all incorporated into the model. The optimal adaptive wind-driven optimization (OAWDO) method is a stochastic optimization technique designed to manage supply, demand, and power price uncertainties. …”

Case 1: PADR evaluation without scheduling. by Hisham Alghamdi (20114096)

“…Time-varying pricing, intermittent renewable energy, domestic appliance energy demand, storage battery, and grid constraints are all incorporated into the model. The optimal adaptive wind-driven optimization (OAWDO) method is a stochastic optimization technique designed to manage supply, demand, and power price uncertainties. …”

SPVE hourly varying irradiance. by Hisham Alghamdi (20114096)

“…Time-varying pricing, intermittent renewable energy, domestic appliance energy demand, storage battery, and grid constraints are all incorporated into the model. The optimal adaptive wind-driven optimization (OAWDO) method is a stochastic optimization technique designed to manage supply, demand, and power price uncertainties. …”