MAE confidence interval variation. حسب Riaz Ud Din (21101290)

Prediction percentage distribution using different algorithms applied in our research. حسب Md Junayed Hossain (22615268)

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This figure illustrates the four distinct custom Convolutional Neural Network (CNN) architectures evaluated in this study. حسب Md Junayed Hossain (22615268)

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MAE, MAPE, MSE, RMSE, <i>R</i>² and Training Time (ms) for different algorithms utilised in this research. حسب Md Junayed Hossain (22615268)

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Here is the extracted cattle’s image from the original image using YOLOv5 algorithm, which accurately detects and isolates the cattle for further processing. حسب Md Junayed Hossain (22615268)

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Results of association rule mining. حسب Jiaqi Wang (369548)

"…Based on desensitized samples of lost-linking customers (with multidimensional features such as communication behavior and loan qualifications), this study uses the FP-Growth algorithm to systematically mine association rules between loss-of-contact features and three modes: “Hide and Seek”, “Flee with the Money”, and “False Disappearance”, providing effective risk management strategies for financial institutions. …"

Data after data processing. حسب Jiaqi Wang (369548)

"…Based on desensitized samples of lost-linking customers (with multidimensional features such as communication behavior and loan qualifications), this study uses the FP-Growth algorithm to systematically mine association rules between loss-of-contact features and three modes: “Hide and Seek”, “Flee with the Money”, and “False Disappearance”, providing effective risk management strategies for financial institutions. …"

Results of frequent itemset mining. حسب Jiaqi Wang (369548)

"…Based on desensitized samples of lost-linking customers (with multidimensional features such as communication behavior and loan qualifications), this study uses the FP-Growth algorithm to systematically mine association rules between loss-of-contact features and three modes: “Hide and Seek”, “Flee with the Money”, and “False Disappearance”, providing effective risk management strategies for financial institutions. …"

Feature selection and processing flowchart. حسب Jiaqi Wang (369548)

"…Based on desensitized samples of lost-linking customers (with multidimensional features such as communication behavior and loan qualifications), this study uses the FP-Growth algorithm to systematically mine association rules between loss-of-contact features and three modes: “Hide and Seek”, “Flee with the Money”, and “False Disappearance”, providing effective risk management strategies for financial institutions. …"

Heatmap of top core itemsets. حسب Jiaqi Wang (369548)

"…Based on desensitized samples of lost-linking customers (with multidimensional features such as communication behavior and loan qualifications), this study uses the FP-Growth algorithm to systematically mine association rules between loss-of-contact features and three modes: “Hide and Seek”, “Flee with the Money”, and “False Disappearance”, providing effective risk management strategies for financial institutions. …"

Performance comparison of our proposed model with existing approaches for cattle weight prediction using machine learning and deep learning techniques. حسب Md Junayed Hossain (22615268)

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Visualization of Residuals across different models applied in our research. حسب Md Junayed Hossain (22615268)

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Proposed architecture of our research. حسب Md Junayed Hossain (22615268)

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Validation Loss vs. Training Loss Curves for the CNN architectures and EfficientNet B3 model evaluated in this study. حسب Md Junayed Hossain (22615268)

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A summary of the dataset containing information on each cattle’s weight, breed, and height. حسب Md Junayed Hossain (22615268)

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Error case analysis using LIME visualization on cattle’s weight prediction. حسب Md Junayed Hossain (22615268)

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Height-Weight correlation and breed distribution of cattle in the dataset. حسب Md Junayed Hossain (22615268)

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LIME visualizations for the 3Conv3Dense model, providing insight into its prediction process. حسب Md Junayed Hossain (22615268)

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Comparison of Actual vs. Predicted values across different models used in this study. حسب Md Junayed Hossain (22615268)

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Architecture of the EfficientNetB3-based regression model used for cattle weight prediction. حسب Md Junayed Hossain (22615268)

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