Representative graphic displays of pyrexia scores by algorithm 5.0 of all analyzed patients over time; First data set, used for optimization of the pyrexia score algorithm. by Hannah Schaefer (13410637)

Absorbance data for 25 samples used to optimize uncertainty parameters. by Christian Salmon (780906)

Data and percentage of optimal performance of the 3 methods. by Wenyu Chen (9135516)

The structure of genetic algorithm (GA). by Ali Akbar Moosavi (17769033)

“…Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …”

Determination of the optimal concentrations of phytohormones for maximizing the callus formation rate and callus fresh weight of petunia through genetic algorithm. by Hamed Rezaei (11085366)

Subjects:

RT laboratory setup. by Ahmed M. Ewias (17262848)

Optimal image settings for object detection of Iba1 immunolabelled cells in DAB. by Danish M. Anwer (15383441)

Comparison statistics of different machine learning algorithms including MLP, GRNN, and RBF for modeling and predicting callogenesis rate and callus fresh weight of petunia. by Hamed Rezaei (11085366)

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S1 Data - by Alexander Eckers (19106390)

Subjects: “…directed hemodynamic algorithm…”

Optimized model prediction performance. by Guang Tu (22054865)

Personal algorithmic recommendations of potassium and phosphorous intake and the corresponding concentration predictions. by Jari Turkia (17912475)

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AUROC scores with 95% CI from Day 1 to Day 4 for different algorithms. by Armin Abdollahi (21440129)

Basic characteristics and intraoperative data. by Alexander Eckers (19106390)

Subjects: “…directed hemodynamic algorithm…”

Rapid Prediction of Chemical Ecotoxicity Through Genetic Algorithm Optimized Neural Network Models by Ping Hou (17213)

“…To reduce the manual tuning effort on optimal network architecture, a genetic algorithm is investigated to automatically search and configure the network architecture. …”

A schematic view of the step-by-step computational approach in the current study. by Hamed Rezaei (11085366)

Subjects:

Determination of the importance of each phytohormone on callus formation rate and callus fresh weight of petunia through sensitivity analysis. by Hamed Rezaei (11085366)

Subjects:

Fig 2 - by Hamed Rezaei (11085366)

Subjects:

Effects of different concentrations of various phytohormones on callus formation rate and callus fresh weight of petunia. by Hamed Rezaei (11085366)

Subjects:

Data-Driven Development of Heterogeneous Catalysts for Propane Dehydrogenation with Machine Learning and Metaheuristic Optimization by Jungmok Oh (14117464)

“…This paper presents a hybrid framework that combines ML models with a metaheuristic optimization algorithm, to explore improved heterogeneous catalysts for propane dehydrogenation (PDH). …”

Data-Driven Development of Heterogeneous Catalysts for Propane Dehydrogenation with Machine Learning and Metaheuristic Optimization by Jungmok Oh (14117464)

“…This paper presents a hybrid framework that combines ML models with a metaheuristic optimization algorithm, to explore improved heterogeneous catalysts for propane dehydrogenation (PDH). …”