Baseline characteristics of recipients’ comparison before and after data match by the unsupervised machine learning algorithm. حسب Mahmoudreza Moein (22127153)

The structure of genetic algorithm (GA). حسب Ali Akbar Moosavi (17769033)

"…First, physico-chemical inputs as bulk density (BD), initial water content (W_i), saturated water content (W_s), mean weight diameter (MWD), and geometric mean diameter (GMD) of aggregates, pH, electrical conductivity (EC), and calcium carbonate equivalent (CCE) were measured. Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …"

MWOA-BiLSTM machine fault detection process. حسب Yi-Qiang Xia (20161326)

"…In essence, it prevents algorithms from settling for suboptimal solutions too soon, encouraging exploration of a broader solution space before converging, by incorporating cauchy variation and a perturbation term, MWOA achieve optimization over a wide search space. …"

WGCNA and machine learning algorithms. حسب Shushu Wang (6870191)

Distribution of pro-group sizes before and after selecting the top 10 features. حسب Miray Unlu Yazici (14792680)

الموضوعات:

Comparison of loss function curves before and after improvement. حسب Xiaozhou Feng (2918222)

The comparison of TL before and after optimization. حسب Shangyang Jin (21772466)

The comparison of TL before and after optimization. حسب Shangyang Jin (21772466)

Automated Analysis of Astrocyte Cell Connectivity After Laser Ablation Using Machine Learning and Path-Finding Algorithms حسب Connor Lee (22327243)

"…The study integrates Cellpose 2.0 for automated segmentation of nuclei and cytoplasm with a heuristic A* path-finding algorithm to classify cellular connectivity. Multi-stack astrocyte images were collected before and after ablation, converted into tiff files, and processed to extract normalized calcium intensities. …"

Activation functions: Sigmoid function and ReLU function. حسب Wan-Hua Zhang (21601139)

Path comparison before and after smoothing. حسب Zhenggang Wang (1753657)

Comparison before and after path pruning. حسب Zhenggang Wang (1753657)

Comparison of model feature extraction before and after adding SPDConv. حسب Jia Li (160557)

Construction of the PRG score index using integrated machine learning algorithms. حسب Xiangxin Wu (22320058)

الموضوعات:

Optimization algorithms performance comparison across benchmark functions. حسب Sundreen Asad Kamal (20390818)

Concept of the Loss function in the case of Supervised Machine Learning and Physics Machine Learning approach. حسب Akshansh Mishra (21001499)

Key gene identification based on two machine learning algorithms. حسب Lijun Guo (605276)

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

Objective function values of different algorithms on individual problem instances. حسب Panfei Li (22379086)

Comparison of model visualization before and after SPPFCSPC improvement. حسب Wenyuan Xu (2553028)