Table_2_Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning.DOCX حسب Maruf A. Tamal (18947776)

"…Subsequently, data cleansing, curation, and dimensionality reduction were performed to remove outliers, handle missing values, and exclude less predictive features. To identify the optimal model, the study evaluated and compared 15 SML algorithms arising from different machine learning (ML) families, including Bayesian, nearest-neighbors, decision trees, neural networks, quadratic discriminant analysis, logistic regression, bagging, boosting, random forests, and ensembles. …"

Average FDR with and . حسب Nand Sharma (21519845)

الموضوعات:

FDR and Runtime for ALARM. حسب Nand Sharma (21519845)

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FDR (). حسب Nand Sharma (21519845)

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FDR (). حسب Nand Sharma (21519845)

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Average Runtime in seconds. حسب Nand Sharma (21519845)

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Average Hamming Distance with and . حسب Nand Sharma (21519845)

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Average FDR with and . حسب Nand Sharma (21519845)

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Subset lattice for partial orderings with on four nodes . حسب Nand Sharma (21519845)

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Subset lattices with parent set constraints. حسب Nand Sharma (21519845)

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Average Hamming Distance with and . حسب Nand Sharma (21519845)

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Subset lattice for BNs with four nodes . حسب Nand Sharma (21519845)

الموضوعات:

Subset lattices with parent set constraints and best sinks identified by CausNet-partial as an example. حسب Nand Sharma (21519845)

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The loss curve for model training. حسب Jie Fang (306330)

"…A model-free reinforcement learning algorithm is designed to train network parameters to optimize the packing sequence. …"

Coordinate system on a rectangular plate. حسب Jie Fang (306330)

"…A model-free reinforcement learning algorithm is designed to train network parameters to optimize the packing sequence. …"

Test instance and packing result information. حسب Jie Fang (306330)

"…A model-free reinforcement learning algorithm is designed to train network parameters to optimize the packing sequence. …"

Image 7_Segmentation of tobacco shred point cloud and 3-D measurement based on improved PointNet++ network with DTC algorithm.png حسب Yihang Wang (4731429)

"…</p>Methods<p>The point cloud data of the upper and lower surfaces of tobacco shred are segmented using the improved three-dimensional point cloud segmentation model based on the PointNet++ network. This model combines the weighted cross-entropy loss function to enhance the classification effect, the cosine annealing algorithm to optimize the training process, and the improved k-nearest neighbors multi-scale grouping method to enhance the model’s ability to segment the point cloud with complex morphology. …"

Image 2_Segmentation of tobacco shred point cloud and 3-D measurement based on improved PointNet++ network with DTC algorithm.png حسب Yihang Wang (4731429)

"…</p>Methods<p>The point cloud data of the upper and lower surfaces of tobacco shred are segmented using the improved three-dimensional point cloud segmentation model based on the PointNet++ network. This model combines the weighted cross-entropy loss function to enhance the classification effect, the cosine annealing algorithm to optimize the training process, and the improved k-nearest neighbors multi-scale grouping method to enhance the model’s ability to segment the point cloud with complex morphology. …"

Table 1_Segmentation of tobacco shred point cloud and 3-D measurement based on improved PointNet++ network with DTC algorithm.docx حسب Yihang Wang (4731429)

"…</p>Methods<p>The point cloud data of the upper and lower surfaces of tobacco shred are segmented using the improved three-dimensional point cloud segmentation model based on the PointNet++ network. This model combines the weighted cross-entropy loss function to enhance the classification effect, the cosine annealing algorithm to optimize the training process, and the improved k-nearest neighbors multi-scale grouping method to enhance the model’s ability to segment the point cloud with complex morphology. …"

Image 4_Segmentation of tobacco shred point cloud and 3-D measurement based on improved PointNet++ network with DTC algorithm.png حسب Yihang Wang (4731429)

"…</p>Methods<p>The point cloud data of the upper and lower surfaces of tobacco shred are segmented using the improved three-dimensional point cloud segmentation model based on the PointNet++ network. This model combines the weighted cross-entropy loss function to enhance the classification effect, the cosine annealing algorithm to optimize the training process, and the improved k-nearest neighbors multi-scale grouping method to enhance the model’s ability to segment the point cloud with complex morphology. …"