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

“…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …”

The parameter settings of the RF algorithm after parameter optimization. by Xini Fang (20861990)

Iteration curve of the optimization process. by Meijun Shang (22806461)

Principle of the SVM algorithm. by Anfeng Zhu (17817144)

Details of 23 basic benchmark functions. by Ying Li (38224)

Parameter optimization results of the RF model improved by FCM clustering. by Xini Fang (20861990)

Construction process of RF. by Xini Fang (20861990)

“…Following this, the FCM clustering algorithm is utilized for pre-processing sample data to improve the efficiency and accuracy of data classification. …”

Datasets of computational processes. by Yixuan Lu (9987980)

Hybrid feature selection algorithm of CSCO-ROA. by Afnan M. Alhassan (18349378)

“…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …”

Image1_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.JPEG by Wisnu Ananta Kusuma (9276182)

Image2_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.JPEG by Wisnu Ananta Kusuma (9276182)

Image4_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.jpg by Wisnu Ananta Kusuma (9276182)

Image5_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.jpg by Wisnu Ananta Kusuma (9276182)

Image3_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.JPEG by Wisnu Ananta Kusuma (9276182)

DataSheet1_Bipartite graph search optimization for type II diabetes mellitus Jamu formulation using branch and bound algorithm.docx by Wisnu Ananta Kusuma (9276182)

MLP vs classification algorithms. by Mohd Mustaqeem (19106494)

“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …”

Process execution halted due to deadlock. by Most. Fatematuz Zohora (19429152)

“…This optimization reduces the time complexity to O(n) in the best-case and O(<i>nd</i>) in the average and worst-case scenarios, compared to the O(<i>n</i>²<i>d</i>) complexity of the original Banker’s algorithm. …”

Time complexity of different safety algorithms. by Most. Fatematuz Zohora (19429152)

“…This optimization reduces the time complexity to O(n) in the best-case and O(<i>nd</i>) in the average and worst-case scenarios, compared to the O(<i>n</i>²<i>d</i>) complexity of the original Banker’s algorithm. …”

DataSheet1_Optimal capacity configuration of the wind-storage combined frequency regulation system considering secondary frequency drop.docx by Dongdong Li (123985)

<i>x</i>_<i>j</i>, and <i>y</i>_<i>j</i> variables for HEV tests. by Mouncef El Marghichi (17328361)

“…The safety and effectiveness of EVs depend on accurate measurement and prediction of the state of health (SOH) of lithium-ion batteries; however, this process is uncertain. In this study, our primary goal is to enhance the accuracy of SOH estimation by reducing uncertainties in state of charge (SOC) estimation and measurements. …”