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)

The flowchart of the proposed algorithm. حسب Muhammad Ayyaz Sheikh (18610943)

"…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …"

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)

"…Simulation tests reveal that the dynamic genetic algorithm with ant colony binary iterative optimization (DGA-ACBIO) proposed in this study shortens the optimal flight range by 715.8 m, 428.3 m, 589 m, and 287.6 m compared to the dynamic genetic algorithm, ant colony binary iterative algorithm, artificial fish swarm algorithm (AFSA) and particle swarm optimization (PSO), respectively, for multiple tea field scheduling route planning. …"

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. …"

Summary of literature review. حسب Muhammad Ayyaz Sheikh (18610943)

"…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …"

Topic description. حسب Muhammad Ayyaz Sheikh (18610943)

"…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …"

Notations along with their descriptions. حسب Muhammad Ayyaz Sheikh (18610943)

"…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …"

Detail of the topics extracted from DUC2002. حسب Muhammad Ayyaz Sheikh (18610943)

"…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …"

DataSheet1_Quantum-inspired optimization for wavelength assignment.PDF حسب Aleksey S. Boev (14441805)

"…We propose an advanced embedding procedure to transform this problem into the quadratic unconstrained binary optimization (QUBO) form, having a improvement in the number of iterations with price-to-pay being a slight increase in the number of variables (“spins”). …"

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. …"

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.…"