DataSheet1_FMixFN: A Fast Big Data-Oriented Genomic Selection Model Based on an Iterative Conditional Expectation algorithm.xlsx حسب Wenwu Xu (2023315)

DataSheet2_FMixFN: A Fast Big Data-Oriented Genomic Selection Model Based on an Iterative Conditional Expectation algorithm.doc حسب Wenwu Xu (2023315)

An Example of a WPT-MEC Network. حسب Hend Bayoumi (22693738)

"…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"

Related Work Summary. حسب Hend Bayoumi (22693738)

"…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"

Simulation parameters. حسب Hend Bayoumi (22693738)

"…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"

Training losses for N = 10. حسب Hend Bayoumi (22693738)

"…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"

Normalized computation rate for N = 10. حسب Hend Bayoumi (22693738)

"…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"

Summary of Notations Used in this paper. حسب Hend Bayoumi (22693738)

"…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"

The feature ranking grouping process of the IG-GPSO. حسب Fangyuan Yang (2567629)

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<i>FS</i> index of KNN on the selected feature subset. حسب Fangyuan Yang (2567629)

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<i>ACC</i> index of KNN on the selected feature subset. حسب Fangyuan Yang (2567629)

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<i>FS</i> index of SVM on the selected feature subset. حسب Fangyuan Yang (2567629)

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The flowchart of the IG-GPSO. حسب Fangyuan Yang (2567629)

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The feature selection process of the IG-GPSO. حسب Fangyuan Yang (2567629)

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<i>ACC</i> index of SVM on the selected feature subset. حسب Fangyuan Yang (2567629)

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Table1_Identification of a ferroptosis-related gene signature predicting recurrence in stage II/III colorectal cancer based on machine learning algorithms.XLSX حسب Ze Wang (132986)

"…We developed a machine learning framework with 83 combinations of 10 algorithms based on 10-fold cross-validation (CV) or bootstrap resampling algorithm to identify the most robust and stable model. …"

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance حسب Chunlai Feng (2228515)

"…In this study, a gene expression data based deep learning model was developed to predict DILI in advance by using gene expression data associated with DILI collected from ArrayExpress and then optimized by feature gene selection and parameters optimization. …"

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance حسب Chunlai Feng (2228515)

"…In this study, a gene expression data based deep learning model was developed to predict DILI in advance by using gene expression data associated with DILI collected from ArrayExpress and then optimized by feature gene selection and parameters optimization. …"

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance حسب Chunlai Feng (2228515)

"…In this study, a gene expression data based deep learning model was developed to predict DILI in advance by using gene expression data associated with DILI collected from ArrayExpress and then optimized by feature gene selection and parameters optimization. …"

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance حسب Chunlai Feng (2228515)

"…In this study, a gene expression data based deep learning model was developed to predict DILI in advance by using gene expression data associated with DILI collected from ArrayExpress and then optimized by feature gene selection and parameters optimization. …"