Average ca for HT-based features extracted from 2.4-second time segments using classification methods. حسب Ebru Ergün (21395498)

Average CA for HT, FWHT, BP, and SF-based features extracted from 2.4-second time segments using the k-NN classifier. حسب Ebru Ergün (21395498)

Table_1_A Brain Tumor Image Segmentation Method Based on Quantum Entanglement and Wormhole Behaved Particle Swarm Optimization.pdf حسب Tianchi Zhang (1740631)

Confusion matrix for multiclass classification. حسب Ebru Ergün (21395498)

"…The experimental protocol involved eight participants performing tasks across four classes of scrolling text. To optimize system accuracy and speed, EEG and NIRS data were segmented into discrete temporal windows. …"

General flow chart of the proposed method. حسب Ebru Ergün (21395498)

"…The experimental protocol involved eight participants performing tasks across four classes of scrolling text. To optimize system accuracy and speed, EEG and NIRS data were segmented into discrete temporal windows. …"

Data_Sheet_1_A real-time driver fatigue identification method based on GA-GRNN.ZIP حسب Xiaoyuan Wang (492534)

Supplementary information for Efficient distributed edge computing for dependent delay-sensitive tasks in multi-operator multi-access networks حسب Alia Asheralieva (17562462)

"…<h2>Article abstract</h2><p dir="ltr">We study the problem of distributed computing in the multi-operator multi-access edge computing (MEC) network for dependent tasks. Every task comprises several sub-tasks which are executed based on logical precedence modelled as a directed acyclic graph. …"

DataSheet_1_Stronger wind, smaller tree: Testing tree growth plasticity through a modeling approach.docx حسب Haoyu Wang (429641)

"…The result shows that the challenging task of modeling plant plasticity may be solved by optimizing the plant fitness function. …"

Table_1_A robust ensemble deep learning framework for accurate diagnoses of tuberculosis from chest radiographs.pdf حسب Xin Sun (127355)

PGAE-ICA_A simplified digital system for intellectual measurement-assessment in children and adolescents using cognitive testing and machine learning techniques حسب Runzhou Wang (5894849)

"…The present study aims to develop an intelligence measurement-assessment system based on primary cognitive ability tests across four cognitive domains and a machine learning model to distinguish between normal and abnormal intelligence. …"

Data_Sheet_1_Tobacco shred varieties classification using Multi-Scale-X-ResNet network and machine vision.docx حسب Qunfeng Niu (13263975)

"…<p>The primary task in calculating the tobacco shred blending ratio is identifying the four tobacco shred types: expanded tobacco silk, cut stem, tobacco silk, and reconstituted tobacco shred. …"

Table_4_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLSX حسب Hui Tang (226667)

"…<p>Quantifying or labeling the sample type with high quality is a challenging task, which is a key step for understanding complex diseases. …"

Table_2_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLSX حسب Hui Tang (226667)

"…<p>Quantifying or labeling the sample type with high quality is a challenging task, which is a key step for understanding complex diseases. …"

Table_1_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.docx حسب Hui Tang (226667)

"…<p>Quantifying or labeling the sample type with high quality is a challenging task, which is a key step for understanding complex diseases. …"

Table_3_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLS حسب Hui Tang (226667)

"…<p>Quantifying or labeling the sample type with high quality is a challenging task, which is a key step for understanding complex diseases. …"

Table_5_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLSX حسب Hui Tang (226667)

"…<p>Quantifying or labeling the sample type with high quality is a challenging task, which is a key step for understanding complex diseases. …"