Optimal image settings for object detection of Iba1 immunolabelled cells in DAB. حسب 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. حسب Hamed Rezaei (11085366)

الموضوعات:

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

"…Recent advances in data-driven approaches using the machine learning (ML) method have enabled the discovery of high-performance materials. …"

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

"…Recent advances in data-driven approaches using the machine learning (ML) method have enabled the discovery of high-performance materials. …"

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

الموضوعات:

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

The structure of genetic algorithm (GA). حسب 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. …"

Optimized model prediction performance. حسب Guang Tu (22054865)

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

الموضوعات:

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

الموضوعات:

Fig 2 - حسب Hamed Rezaei (11085366)

الموضوعات:

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

الموضوعات:

Machine Learning Guided Batched Design of a Bacterial Ribosome Binding Site حسب Mengyan Zhang (6686543)

"…We have integrated these machine learning algorithms with laboratory automation and high-throughput processes for reliable data generation. …"

A new approach in soil organic carbon estimation using machine learning algorithms: a study in a tropical forest in Vietnam حسب Thuy Phuong Nguyen (11769999)

"…This study aimed to evaluate the ability of SOC estimation using a multiple linear regression model (MLR) and four machine learning algorithms: artificial neural networks (ANN), support vector machine (SVM), random forest (RF), and extreme gradient boosting (XGBoost) with satellite data sources and soil nutrient indicator data to find the optimal method. …"

Data Sheet 1_Machine learning-based high-specificity diagnostic model for Talaromyces marneffei infection in febrile patients using routine clinical laboratory data.pdf حسب Yingjun Xiao (17603738)

"…Six classic machine learning algorithms were utilized to develop the optimal predictive model through 1000 bootstrap resamplings. …"

Table 3_Machine learning-based high-specificity diagnostic model for Talaromyces marneffei infection in febrile patients using routine clinical laboratory data.xlsx حسب Yingjun Xiao (17603738)

"…Six classic machine learning algorithms were utilized to develop the optimal predictive model through 1000 bootstrap resamplings. …"

Table 2_Machine learning-based high-specificity diagnostic model for Talaromyces marneffei infection in febrile patients using routine clinical laboratory data.xlsx حسب Yingjun Xiao (17603738)

"…Six classic machine learning algorithms were utilized to develop the optimal predictive model through 1000 bootstrap resamplings. …"

Table 1_Machine learning-based high-specificity diagnostic model for Talaromyces marneffei infection in febrile patients using routine clinical laboratory data.xlsx حسب Yingjun Xiao (17603738)

"…Six classic machine learning algorithms were utilized to develop the optimal predictive model through 1000 bootstrap resamplings. …"

Data Sheet 1_Development and application of machine learning models for hematological disease diagnosis using routine laboratory parameters: a user-friendly diagnostic platform.doc... حسب Jingya Liu (13338460)

List of data tables. حسب Mukhtar Ijaiya (18935122)

"…Merged demographic, clinic, pharmacy, and laboratory data were included as potential predictor variables in multiple models. …"