Features selected by optimization algorithms. حسب Afnan M. Alhassan (18349378)

MLP vs classification algorithms. حسب Mohd Mustaqeem (19106494)

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

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

DataSheet1_Development of an Intelligent Power Management System for Solar PV-Wind-Battery-Fuel-Cell Integrated System.docx حسب Vincent Anayochukwu Ani (10322801)

Algorithms and evaluation metrics integrated in the COPS framework. حسب Teemu J. Rintala (19333003)

Schematic representation of semi-automated algorithm for organoids analyzing. حسب Anna Demchenko (18449439)

Performance metrics for BrC. حسب Afnan M. Alhassan (18349378)

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

Proposed methodology. حسب Afnan M. Alhassan (18349378)

Loss vs. Epoch. حسب Afnan M. Alhassan (18349378)

Sample images from the BreakHis dataset. حسب Afnan M. Alhassan (18349378)

Accuracy vs. Epoch. حسب Afnan M. Alhassan (18349378)

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

S1 Dataset - حسب Afnan M. Alhassan (18349378)

CSCO’s flowchart. حسب Afnan M. Alhassan (18349378)

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

"…Recent developments in high-resolution mass spectrometry (HRMS) technology enabled ultrasensitive detection of proteins, peptides, and metabolites in limited amounts of samples, even single cells. 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)

"…Recent developments in high-resolution mass spectrometry (HRMS) technology enabled ultrasensitive detection of proteins, peptides, and metabolites in limited amounts of samples, even single cells. 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. …"

Table1_Effects of Fiscal Decentralization on Garbage Classifications.docx حسب Qiuzhuo Ma (11143533)

Table1_Effects of Fiscal Decentralization on Garbage Classifications.docx حسب Qiuzhuo Ma (11143533)