Flow diagram of Wan Abdullah method for HNN. حسب Ghassan Ahmed Ali (17041488)

الموضوعات:

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

الموضوعات:

RMSE on the test data when fitting (logistic) quadratic models to binary data across increasing measurement error values . حسب Jakub Stoklosa (3315042)

Variable importance of features included in the gradient boosting machine learning (XGB) algorithm for predicting postinduction hypotension. حسب Manabu Yoshimura (11040049)

DATA. حسب Yang Yu (4292)

"…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …"

The robustness test results of the model. حسب Xini Fang (20861990)

"…Finally, an improved RF model is constructed by optimizing the parameters of the RF algorithm. …"

MLP vs classification algorithms. حسب Mohd Mustaqeem (19106494)

"…However, SDP faces challenges like imbalanced data, high-dimensional features, model overfitting, and outliers. …"

Hybrid feature selection algorithm of CSCO-ROA. حسب Afnan M. Alhassan (18349378)

"…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …"

Architecture of proposed system model. حسب Nanavath Kiran Singh Nayak (22184565)

System model of the proposed method. حسب Nanavath Kiran Singh Nayak (22184565)

Reducing positional uncertainty حسب He Wu (22584128)

Proposed CVAE model. حسب Afnan M. Alhassan (18349378)

"…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …"

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

"…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …"

Segmentation results of the proposed model. حسب Afnan M. Alhassan (18349378)

"…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …"

Distributions of model parameters mirror differentially expressed ion channel genes. حسب Daniele Linaro (227790)

DataSheet1_Optimal capacity configuration of the wind-storage combined frequency regulation system considering secondary frequency drop.docx حسب Dongdong Li (123985)

Image processing workflow. حسب Denis Tamiev (7404980)

"…<p>Raw fluorescent microscope images (a) were processed with a binary segmentation algorithm, and clusters of bacterial cells were manually annotated. …"

RNN performance comparison with/out optimization. حسب Muhammad Usman Tariq (11022141)

"…Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. …"

Data_Sheet_1_Construction and Interpretation of Prediction Model of Teicoplanin Trough Concentration via Machine Learning.docx حسب Pan Ma (400070)

Weights of sample data. حسب Yixuan Lu (9987980)