Optimization of tracking parameters based on <i>P</i>_<i>swap</i>. by 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 tea fields.XLSX by Yangyang Liu (807797)

“…By optimizing the crossover and mutation operators of the genetic algorithm (GA), the crossover and mutation probabilities are automatically adjusted with the individual fitness and a dynamic genetic algorithm (DGA) is proposed. …”

Proposed Algorithm. by 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. by Hend Bayoumi (22693738)

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

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

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

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

MSE for ILSTM algorithm in binary classification. by Asmaa Ahmed Awad (16726315)

“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …”

The confidence curve of a binary image. by Dingming Yang (8505990)

DE algorithm flow. by Ling Zhao (111365)

“…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”

One advantage of our algorithm is that it is not binary in nature. by Yong Kuk Kim (13955214)

Test results of different algorithms. by Ling Zhao (111365)

“…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”

Related Work Summary. by Hend Bayoumi (22693738)

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

Simulation parameters. by 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. by 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. by 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. by Hend Bayoumi (22693738)

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

Flowchart depicting the structure of the BDMO algorithm. by Olatunji A. Akinola (13919696)

a) Accuracy and b) selected feature size of algorithms on the COVID-19 dataset. by Nebojsa Bacanin (13932723)

A new fast filtering algorithm for a 3D point cloud based on RGB-D information by 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. …”

SHAP bar plot. by 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.…”