Algorithm process. by Wei Cui (92129)

“…This paper aims to address these challenges by proposing an automated DDoS attack detection algorithm using the Informer model. We introduce a windowing technique to segment network traffic into manageable samples, which are then input into the Informer for feature extraction and classification. …”

Statistics of GI data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

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Statistics of HEWL data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

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The Search process of the genetic algorithm. by Wenguang Li (6528113)

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Notations and definitions used in the algorithm. by Nazym Alimbekova (22766158)

Data after data processing. by Jiaqi Wang (369548)

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A sinogram of the test sample before and after the dejitter algorithm. by Hannes Benecke (17409369)

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Excerpts from the raw acquired data set with the tracking algorithm. by Hannes Benecke (17409369)

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The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…Finally, we use the Laplace approximation to determine a lower bound for the out-of-sample prediction error and derive a scalable expression for the marginal variance of each prediction. …”

Algorithm of model development and validation. by Bethan Cracknell Daniels (20469396)

Genetic algorithm flowchart. by Wenguang Li (6528113)

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Flowchart of the proposed algorithm. by Huanyu Yang (6683780)

“…The sub-block selection algorithm sorts and filters sub-blocks based on the average pixel difference, reconstructing the input data to ensure accurate separation of melanin and hemoglobin. …”

Genetic algorithm iteration data chart. by Wenguang Li (6528113)

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Proposed process model for sensor nodes. by Shayesteh Tabatabaei (12280016)

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The process of creating the cluster-tree structure in the proposed method. by Shayesteh Tabatabaei (12280016)

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The general processing diagram used to create OSSL. by José L. Safanelli (20552654)

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Comparative analysis of off-policy PPO algorithm and on-policy algorithm on the a) CSMAR and b) MorningStar datasets. by Cai Yuanqing (22513351)

Schematic of the directed network flow entropy (DNFE) algorithm. by Xueqing Peng (10678527)

Proposing sequence genetic distances with our local greedy algorithm when genomic sampling data is unavailable. by Hannah Waddel (21520023)

Improved random forest algorithm. by Zhen Zhao (159931)

“…Subsequently, the feature factors corresponding to the model with the highest accuracy were selected as the optimal feature subsets and used in the model construction as input data. Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”