Illustration of the transformed binary images of normal, benign, and malignant samples into grayscale. حسب Tehnan I. A. Mohamed (16846175)

The flowchart of the MAs selection process. حسب Samer Mheissen (8748501)

Features selected by optimization algorithms. 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. …"

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. …"

Primary characteristics and categories of the 31 studies. حسب Jiaxin Li (441199)

Construction process of RF. حسب Xini Fang (20861990)

"…Following this, the FCM clustering algorithm is utilized for pre-processing sample data to improve the efficiency and accuracy of data classification. …"

MLP vs classification algorithms. حسب Mohd Mustaqeem (19106494)

"…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …"

Excel file with primary data used to assemble figures. حسب Ankit Srivastava (742990)

Primary characteristics and details of the 31 studies (Table 2 was uploaded as an additional file). حسب Jiaxin Li (441199)

Total primary energy demand by fuel in China. حسب Da Lian (18880882)

SLR-Resource Allocation in Business Processes: Selected studies and data extraction حسب Luise Pufahl (17695929)

Schematic representation of univariate ensemble-based feature selection. حسب Nanavath Kiran Singh Nayak (22184565)

الموضوعات:

Pre-processing steps. حسب Yubraj Gupta (7465394)

Trajectory mode selection. حسب Anees ul Husnain (18017648)

Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics حسب Zhichao Liu (191718)

"…However, extraction of trace-abundance signals from complex data sets (<i>m</i>/<i>z</i> value, separation time, signal abundance) that result from ultrasensitive studies requires improved data processing algorithms. …"

Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics حسب Zhichao Liu (191718)

"…However, extraction of trace-abundance signals from complex data sets (<i>m</i>/<i>z</i> value, separation time, signal abundance) that result from ultrasensitive studies requires improved data processing algorithms. …"

Data Sheet 1_Machine learning based assessment of hoarseness severity: a multi-sensor approach centered on high-speed videoendoscopy.docx حسب Tobias Schraut (21488108)

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

"…Following this, the FCM clustering algorithm is utilized for pre-processing sample data to improve the efficiency and accuracy of data classification. …"

Data_Sheet_2_Computational Neural Modeling of Auditory Cortical Receptive Fields.pdf حسب Jordan D. Chambers (6732224)

Data_Sheet_1_Computational Neural Modeling of Auditory Cortical Receptive Fields.PDF حسب Jordan D. Chambers (6732224)