Developed energy optimization model with LSC based on OAWDO algorithm. حسب Hisham Alghamdi (20114096)

Evaluation metrics of the models’ performance. حسب Guangwei Liu (181992)

Parameters of smart appliances used in the developed model. حسب Hisham Alghamdi (20114096)

Simulated annealing algorithm. حسب Muhammad Muneeb (3244095)

Features selected by optimization algorithms. حسب Afnan M. Alhassan (18349378)

"…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …"

Calibration plot of the apparent and optimism-corrected models. حسب Dominika Szabo (14129304)

Primary training parameters for the model. حسب Junjie Lu (160350)

Models’ performance without optimization. حسب Muhammad Usman Tariq (11022141)

"…To enhance the performance of these models, Bayesian optimization techniques were employed. …"

Data_Sheet_1_How can age-based vaccine allocation strategies be optimized? A multi-objective optimization framework.ZIP حسب Hao Wu (65943)

Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement حسب Antoine Falisse (6061601)

"…The primary aim of this study was to demonstrate the computational benefits of using AD instead of FD in OpenSim-based trajectory optimization of human movement. …"

Descriptive statistics of algorithms. حسب Fizza Shafique (19996292)

"…BLDC motor is a complex system having nonlinearity in its dynamic responses which makes primary controllers in efficient. Therefore, this paper implements metaheuristic optimization techniques such as Whale Optimization Algorithm (WOA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Accelerated Particle Swarm Optimization (APSO), Levy Flight Trajectory-Based Whale Optimization Algorithm (LFWOA); moreover, a chaotic map and weight factor are also being applied to modify LFWOA (i.e., CMLFWOA) for optimizing the PI controller to control the speed of BLDC motor. …"

AIPSO algorithm flowchart. حسب Xiaohui Liu (6412)

Routing policy based on path satisfaction. حسب Yang Yu (4292)

"…Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …"

Q-value of comparison of algorithms with WOA. حسب Fizza Shafique (19996292)

"…BLDC motor is a complex system having nonlinearity in its dynamic responses which makes primary controllers in efficient. Therefore, this paper implements metaheuristic optimization techniques such as Whale Optimization Algorithm (WOA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Accelerated Particle Swarm Optimization (APSO), Levy Flight Trajectory-Based Whale Optimization Algorithm (LFWOA); moreover, a chaotic map and weight factor are also being applied to modify LFWOA (i.e., CMLFWOA) for optimizing the PI controller to control the speed of BLDC motor. …"

p-values of comparison of algorithms with WOA. حسب Fizza Shafique (19996292)

"…BLDC motor is a complex system having nonlinearity in its dynamic responses which makes primary controllers in efficient. Therefore, this paper implements metaheuristic optimization techniques such as Whale Optimization Algorithm (WOA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Accelerated Particle Swarm Optimization (APSO), Levy Flight Trajectory-Based Whale Optimization Algorithm (LFWOA); moreover, a chaotic map and weight factor are also being applied to modify LFWOA (i.e., CMLFWOA) for optimizing the PI controller to control the speed of BLDC motor. …"

Zimbabwe model outputs on actual and optimized 2016 spending and impact by intervention. حسب Nicole Fraser-Hurt (2636833)

Performance of cryptic prompt injection for two LLMs, Llama 2 and Vicuna 1.5, and two datasets, Peer Review Congress (PRC) Abstracts and PeerRead Papers, at different iterations of... حسب Vishisht Srihari Rao (22291042)

A portfolio selection model based on the knapsack problem under uncertainty حسب Fereshteh Vaezi (6655028)

"…The resulted model is converted into a parametric linear programming model in which the decision maker is able to determine the optimism threshold. …"

Image_1_The prognostic role of an optimal machine learning model based on clinical available indicators in HCC patients.TIF حسب Xiaoying Lou (9700261)

Image_2_The prognostic role of an optimal machine learning model based on clinical available indicators in HCC patients.TIF حسب Xiaoying Lou (9700261)