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)

“…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …”

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

Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

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

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

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. …”

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. …”

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

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Data after data processing. by Jiaqi Wang (369548)

Genetic algorithm flowchart. by Wenguang Li (6528113)

“…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …”

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

“…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …”

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)

FastICA algorithm and feature point selection. 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. …”

Indexing of the serial synchrotron crystallography (SSX) diffraction images of the glucose isomerase (GI) processed using the MOSFLM, DirAx, and XGANDALF algorithms at various crys... by Ki Hyun Nam (5813819)

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

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