Data and Scripts for 'A Predictive Model for Attention-deficit/hyperactivity Disorder and Its Subtypes in Children: A Back-propagation Neural Network Optimized with Genetic Algorithms Based on Multidimensional Cognitive Ability Tests' حسب Wang (20310746)

"…The present study recruited 316 children aged 6 to 14 years, including 98 with the inattentive subtype, 80 with the combined subtype, and 138 typically developing controls. Using <a href="" target="_blank">multidimensional cognitive ability tests</a> and a <a href="" target="_blank">back-propagation neural network</a> optimized by a genetic algorithm, this study developed a computer-aided diagnostic model to distinguish children with attention-deficit/hyperactivity disorder and its specific subtypes. …"

Image 5_A machine learning model based on emergency clinical data predicting 3-day in-hospital mortality for stroke and trauma patients.jpeg حسب Xu Chen (432759)

"…</p>Method<p>This study analyzed data from 2,125 emergency admission patients with stroke and traumatic brain injury at two Grade a hospitals in China from January 2021 to March 2024. …"

Image 1_A machine learning model based on emergency clinical data predicting 3-day in-hospital mortality for stroke and trauma patients.tif حسب Xu Chen (432759)

"…</p>Method<p>This study analyzed data from 2,125 emergency admission patients with stroke and traumatic brain injury at two Grade a hospitals in China from January 2021 to March 2024. …"

Image 2_A machine learning model based on emergency clinical data predicting 3-day in-hospital mortality for stroke and trauma patients.tif حسب Xu Chen (432759)

"…</p>Method<p>This study analyzed data from 2,125 emergency admission patients with stroke and traumatic brain injury at two Grade a hospitals in China from January 2021 to March 2024. …"

Image 4_A machine learning model based on emergency clinical data predicting 3-day in-hospital mortality for stroke and trauma patients.tif حسب Xu Chen (432759)

"…</p>Method<p>This study analyzed data from 2,125 emergency admission patients with stroke and traumatic brain injury at two Grade a hospitals in China from January 2021 to March 2024. …"

Image 3_A machine learning model based on emergency clinical data predicting 3-day in-hospital mortality for stroke and trauma patients.tif حسب Xu Chen (432759)

"…</p>Method<p>This study analyzed data from 2,125 emergency admission patients with stroke and traumatic brain injury at two Grade a hospitals in China from January 2021 to March 2024. …"

Table 1_A machine learning model based on emergency clinical data predicting 3-day in-hospital mortality for stroke and trauma patients.docx حسب Xu Chen (432759)

"…</p>Method<p>This study analyzed data from 2,125 emergency admission patients with stroke and traumatic brain injury at two Grade a hospitals in China from January 2021 to March 2024. …"

Comparison of results of machine learning prediction models based on images. حسب Ningxin Chen (12965441)

الموضوعات:

Optimize process data and final results حسب Dawei Wang (471687)

Table 1_Predicting liver metastasis in pancreatic neuroendocrine tumors with an interpretable machine learning algorithm: a SEER-based study.docx حسب Jinzhe Bi (21225545)

"…Furthermore, the SHAP framework revealed that surgery, N-stage, and T-stage are the primary decision factors influencing the machine learning model’s predictions. Finally, based on the GBM algorithm, we developed an accessible web-based calculator to predict the risk of liver metastasis in PaNETs.…"

Architecture of AGAN algorithm model. حسب Xing Chen (140292)

Identification of early prognostic biomarkers in Severe Fever with Thrombocytopenia Syndrome using machine learning algorithms حسب Jie Zhu (126574)

"…Six different machine learning algorithms were employed to develop prognostic models based on the clinical features during the acute phase, which were reduced using Lasso regression.…"

Working steps and operating algorithm of the developed GSMCS. حسب Abdallah Elshawadfy Elwakeel (19852263)

Stage 3 Workshops: Investigating the Learning Mechanics - Game Mechanics (LM-GM) model for the development of digital game-based learning حسب Glen Shearer (9834266)

Data scaling visualization. حسب Ankur Kumar (1357440)

الموضوعات:

Base learner parameters. حسب Jingru Dong (14076094)

الموضوعات:

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. …"

Data Sheet 1_Fast forward modeling and response analysis of extra-deep azimuthal resistivity measurements in complex model.docx حسب Pan Zhang (206408)

"…Considering the increased detection range of EDARM and the requirements for computational efficiency, this paper presents a 2.5-dimensional (2.5D) finite element method (FEM). By leveraging the symmetry of simulated signals in the spectral domain, the algorithm reduces computation time by 50%, significantly enhancing computational efficiency while preserving accuracy. …"

Quantum Descriptor-Based Machine-Learning Modeling of Thermal Hazard of Cyclic Sulfamidates حسب Michal Dabros (10343989)

الموضوعات:

High-Precision Landing on a Moving Platform Based on Drone Vision Using Yolo Algorithm حسب Satoshi Suzuki (20437556)

"…To overcome the challenge of the flight altitude is too high to detect the landing target, this paper fi rst detects large-volume targets, followed by the precise identifi cation of smaller targets, achieving enhanced recognition accuracy and speed through an improved YOLOv8 OBB algorithm. To maintain the UAV’s safety and stability throughout the landing process, This paper applies a position control approach using a reference model based sliding mode controller (RMSMC). …"