The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. حسب Ahmed M. Elshewey (21463867)

Optimization of tracking parameters based on <i>P</i>_<i>swap</i>. حسب Benjamin Gallois (10131683)

Table_1_A scheduling route planning algorithm based on the dynamic genetic algorithm with ant colony binary iterative optimization for unmanned aerial vehicle spraying in multiple... حسب Yangyang Liu (807797)

Proposed Algorithm. حسب Hend Bayoumi (22693738)

"…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …"

Comparisons between ADAM and NADAM optimizers. حسب Hend Bayoumi (22693738)

"…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …"

SHAP bar plot. حسب Meng Cao (105914)

"…<div><p>Background</p><p>The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population remain underexplored.</p><p>Objective</p><p>This study aimed to develop a risk prediction model for CI in CKD patients using machine learning algorithms, with the objective of enhancing risk prediction accuracy and facilitating early intervention.…"

Sample screening flowchart. حسب Meng Cao (105914)

"…<div><p>Background</p><p>The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population remain underexplored.</p><p>Objective</p><p>This study aimed to develop a risk prediction model for CI in CKD patients using machine learning algorithms, with the objective of enhancing risk prediction accuracy and facilitating early intervention.…"

Descriptive statistics for variables. حسب Meng Cao (105914)

"…<div><p>Background</p><p>The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population remain underexplored.</p><p>Objective</p><p>This study aimed to develop a risk prediction model for CI in CKD patients using machine learning algorithms, with the objective of enhancing risk prediction accuracy and facilitating early intervention.…"

SHAP summary plot. حسب Meng Cao (105914)

"…<div><p>Background</p><p>The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population remain underexplored.</p><p>Objective</p><p>This study aimed to develop a risk prediction model for CI in CKD patients using machine learning algorithms, with the objective of enhancing risk prediction accuracy and facilitating early intervention.…"

ROC curves for the test set of four models. حسب Meng Cao (105914)

"…<div><p>Background</p><p>The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population remain underexplored.</p><p>Objective</p><p>This study aimed to develop a risk prediction model for CI in CKD patients using machine learning algorithms, with the objective of enhancing risk prediction accuracy and facilitating early intervention.…"

Display of the web prediction interface. حسب Meng Cao (105914)

"…<div><p>Background</p><p>The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population remain underexplored.</p><p>Objective</p><p>This study aimed to develop a risk prediction model for CI in CKD patients using machine learning algorithms, with the objective of enhancing risk prediction accuracy and facilitating early intervention.…"

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

"…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …"

Related Work Summary. حسب Hend Bayoumi (22693738)

"…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …"

Simulation parameters. حسب Hend Bayoumi (22693738)

"…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …"

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

"…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …"

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

"…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …"

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

"…The objective is to optimize binary offloading decisions under dynamic wireless channel conditions and energy harvesting constraints. …"

A new fast filtering algorithm for a 3D point cloud based on RGB-D information حسب Chaochuan Jia (7256237)

"…This method aligns the color image to the depth image, and the color mapping image is converted to an HSV image. Then, the optimal segmentation threshold of the V image that is calculated by using the Otsu algorithm is applied to segment the color mapping image into a binary image, which is used to extract the valid point cloud from the original point cloud with outliers. …"

Data Sheet 1_Detection of litchi fruit maturity states based on unmanned aerial vehicle remote sensing and improved YOLOv8 model.docx حسب Changjiang Liang (21099887)

"…In addition, YOLOv8-FPDW was more competitive than mainstream object detection algorithms. The study predicted the optimal harvest period for litchis, providing scientific support for orchard batch harvesting and fine management.…"

Analysis and design of algorithms for the manufacturing process of integrated circuits حسب Sonia Fleytas (16856403)

"…The (approximate) solution proposals of state-of-the-art methods include rule-based approaches, genetic algorithms, and reinforcement learning. …"