Optimization-Driven Steganographic System Based on Fused Maps and Blowfish Encryption by Ahmed Aljughaiman (21793526)

Subjects:

The algorithm of the AWGE-ESPCA model. by Rui Miao (1592461)

Algorithm comparison. by Ning Ji (325849)

Subjects:

The proposed method. by Ali Asghar Salehi Solaiman Abadi (20846222)

Subjects: “…imperialist competitive algorithm…”

Reconstructed image of ‘Baboon’ of size using FFT-based method, Gaussian numerical integration and wavelet numerical integration method. by Qizheng Huang (13698956)

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Comparison with YOLO-based state-of-the-art methods. by Beigeng Zhao (21637197)

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Mitochondrial toxic prediction of marine alga toxins using a predictive model based on feature coupling and ensemble learning algorithms by Guangyin Jia (21075537)

“…By comparing 8 machine learning algorithms and using a weighted soft voting method to integrate the two optimal algorithms, we established 108 prediction models and identified the best ensemble learning model MACCS_LK for screening and defining its application domain. …”

Comparison of Traffic Accident Risk Prediction Models Based on Different Algorithms. by Hao Li (31608)

Optimization flow of the co-simulation method. by Shangyang Jin (21772466)

Subjects:

Code and raw data used in this study. by Zhuolin Yang (14658411)

Experiment 4: Evaluating modularity-based clustering methods on tree-of-cliques networks. by Yasamin Tabatabaee (18095491)

Comparison of FMM, DBA, and the great circle-based method for the second pair of endpoints. by Tianjiao Wang (761650)

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Comparison of FMM, DBA, and the great circle-based method for the third pair of endpoints. by Tianjiao Wang (761650)

Subjects:

Comparison of FMM, DBA and the great circle-based method for the first pair of endpoints. by Tianjiao Wang (761650)

Subjects:

Experiment 4: Evaluating CPM-based clustering methods on ring-of-cliques networks. by Yasamin Tabatabaee (18095491)

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Results of different methods based on small-scale instances. by Chengji Liang (18078144)

Principle of Grinding Constant Force Control Based on PPO Algorithm. by Qichao Wang (5132438)

The flowchart of grinding constant force control based on the PPO algorithm. by Qichao Wang (5132438)

DataSheet_1_Fast and flexible spatial sampling methods based on the Quadtree algorithm for ocean monitoring.docx by Yanzhi Zhou (18285742)

“…This study improved existing sampling methods based on the Quadtree (QT) algorithm. In the first-phase sampling, the gradient-based QT (GQT) algorithm is recommended since it avoids the repeated calculation of variance in the Variance QT (VQT) algorithm. …”