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

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

Architecture of ConvNet. حسب Subathra Gunasekaran (19492680)

"…AWO mimics the hunting behavior of humpback whales to iteratively search for the optimal feature subset. With the selected features, we perform image segmentation using the ConvNet-ResNeXt101 model. …"

The robustness test results of the model. حسب Xini Fang (20861990)

"…Finally, an improved RF model is constructed by optimizing the parameters of the RF algorithm. …"

Data used to drive the Double Layer Carbon Model in the Qinling Mountains. حسب Huiwen Li (17705280)

"…Regional contributions to interannual variability of net primary production and climatic attributions. …"

Construction process of RF. حسب Xini Fang (20861990)

"…Finally, an improved RF model is constructed by optimizing the parameters of the RF algorithm. …"

SegNet architecture. حسب Xin Han (1329648)

"…We conducted empirical research in Jiefang North Road, Tianjin. We introduced the SegNet deep learning algorithm to semantically segment the street view images, extract the architectural elements and optimize the edges of the architecture. …"

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

"…<div><p>One of the primary concerns in investment planning is to determine the number of shares for asset with relatively high net value of share such as Berkshire Hathaway on Stock market. …"

The workflow of the proposed model. حسب Subathra Gunasekaran (19492680)

"…AWO mimics the hunting behavior of humpback whales to iteratively search for the optimal feature subset. With the selected features, we perform image segmentation using the ConvNet-ResNeXt101 model. …"

Table_1_Prediction-Driven Decision Support for Patients With Mild Stroke: A Model Based on Machine Learning Algorithms.xlsx حسب Xinping Lin (1591438)

"…The optimal ML model was selected to be DAMS. In addition, SHapley Additive exPlanations (SHAP) approach was introduced to rank the feature importance. …"

Proposed model tuned hyperparameters. حسب Subathra Gunasekaran (19492680)

"…AWO mimics the hunting behavior of humpback whales to iteratively search for the optimal feature subset. With the selected features, we perform image segmentation using the ConvNet-ResNeXt101 model. …"

Proposed model sensitivity outcome. حسب Subathra Gunasekaran (19492680)

"…AWO mimics the hunting behavior of humpback whales to iteratively search for the optimal feature subset. With the selected features, we perform image segmentation using the ConvNet-ResNeXt101 model. …"

Data_Sheet_1_Tobacco shred varieties classification using Multi-Scale-X-ResNet network and machine vision.docx حسب Qunfeng Niu (13263975)

"…The number of blocks in Stages 1–4 are adjusted from the original 3:4:6:3 to 3:4:N:3 (A-ResNet) and 3:3:N:3 (B-ResNet) to obtain the X-ResNet network, which improves the model’s classification performance with lower complexity. …"

Data_Sheet_1_Prediction-Driven Decision Support for Patients With Mild Stroke: A Model Based on Machine Learning Algorithms.docx حسب Xinping Lin (1591438)

"…The optimal ML model was selected to be DAMS. In addition, SHapley Additive exPlanations (SHAP) approach was introduced to rank the feature importance. …"

Proposed model specificity and DSC outcomes. حسب Subathra Gunasekaran (19492680)

"…AWO mimics the hunting behavior of humpback whales to iteratively search for the optimal feature subset. With the selected features, we perform image segmentation using the ConvNet-ResNeXt101 model. …"

Accuracy comparison of proposed and other models. حسب Subathra Gunasekaran (19492680)

"…AWO mimics the hunting behavior of humpback whales to iteratively search for the optimal feature subset. With the selected features, we perform image segmentation using the ConvNet-ResNeXt101 model. …"

Latent state estimations for experimental data with no stressors. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 18. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with time limit. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with no stressors for subject 22. حسب Samiul Alam (18563323)