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)

Table5_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX حسب Ali Mostafa Anwar (7454504)

"…However, the stAI method employed a hill climbing algorithm to optimize the S_ij weights, which is not ideal for obtaining the best set of S_ij weights because it could struggle to find the global maximum given a complex search space, even after using different starting positions. …"

Image2_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.PNG حسب Ali Mostafa Anwar (7454504)

"…However, the stAI method employed a hill climbing algorithm to optimize the S_ij weights, which is not ideal for obtaining the best set of S_ij weights because it could struggle to find the global maximum given a complex search space, even after using different starting positions. …"

Table1_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX حسب Ali Mostafa Anwar (7454504)

"…However, the stAI method employed a hill climbing algorithm to optimize the S_ij weights, which is not ideal for obtaining the best set of S_ij weights because it could struggle to find the global maximum given a complex search space, even after using different starting positions. …"

Image1_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.PNG حسب Ali Mostafa Anwar (7454504)

"…However, the stAI method employed a hill climbing algorithm to optimize the S_ij weights, which is not ideal for obtaining the best set of S_ij weights because it could struggle to find the global maximum given a complex search space, even after using different starting positions. …"

Image3_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.PNG حسب Ali Mostafa Anwar (7454504)

"…However, the stAI method employed a hill climbing algorithm to optimize the S_ij weights, which is not ideal for obtaining the best set of S_ij weights because it could struggle to find the global maximum given a complex search space, even after using different starting positions. …"

Table3_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX حسب Ali Mostafa Anwar (7454504)

"…However, the stAI method employed a hill climbing algorithm to optimize the S_ij weights, which is not ideal for obtaining the best set of S_ij weights because it could struggle to find the global maximum given a complex search space, even after using different starting positions. …"

Table4_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX حسب Ali Mostafa Anwar (7454504)

"…However, the stAI method employed a hill climbing algorithm to optimize the S_ij weights, which is not ideal for obtaining the best set of S_ij weights because it could struggle to find the global maximum given a complex search space, even after using different starting positions. …"

Table2_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX حسب Ali Mostafa Anwar (7454504)

"…However, the stAI method employed a hill climbing algorithm to optimize the S_ij weights, which is not ideal for obtaining the best set of S_ij weights because it could struggle to find the global maximum given a complex search space, even after using different starting positions. …"

Image4_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.PNG حسب Ali Mostafa Anwar (7454504)

"…However, the stAI method employed a hill climbing algorithm to optimize the S_ij weights, which is not ideal for obtaining the best set of S_ij weights because it could struggle to find the global maximum given a complex search space, even after using different starting positions. …"

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.…"