Genetic algorithm iteration data chart. حسب 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. حسب Cai Yuanqing (22513351)

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

Generator network and discriminator network. حسب Xiaojun Wang (50332)

الموضوعات:

FastICA algorithm and feature point selection. حسب 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... حسب Ki Hyun Nam (5813819)

الموضوعات:

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

الموضوعات:

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

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

الموضوعات:

Improved random forest algorithm. حسب 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. …"

K-means++ clustering algorithm. حسب 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. …"

Simulated solution and the original spectral data of the actual water sample. حسب Wang hongmei (22598690)

The accuracy of all employed learning algorithms. حسب Quan Shao (20148209)

A sample model illustrating the process. حسب Linxi Wang (3068649)

الموضوعات:

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). حسب Johannes Weyer (13392175)

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

الموضوعات:

Densely linked network. حسب Xiaojun Wang (50332)

الموضوعات:

Indexing of the serial synchrotron crystallography (SSX) diffraction images of the hen egg white lysozyme (HEWL) processed using the MOSFLM, DirAx, and XGANDALF algorithms at vario... حسب Ki Hyun Nam (5813819)

الموضوعات:

Ultrafast Hydrogen Detection System Using Vertical Thermal Conduction Structure and Neural Network Prediction Algorithm Based on Sensor Response Process حسب Ruilin Yang (151028)

"…Meanwhile, the model significantly enhanced the detection speed by enabling hydrogen concentration prediction using only the initial 40 data points (sampling frequency of 100 Hz) from the sensor response before the sensor completes the entire response process. …"

Ultrafast Hydrogen Detection System Using Vertical Thermal Conduction Structure and Neural Network Prediction Algorithm Based on Sensor Response Process حسب Ruilin Yang (151028)

"…Meanwhile, the model significantly enhanced the detection speed by enabling hydrogen concentration prediction using only the initial 40 data points (sampling frequency of 100 Hz) from the sensor response before the sensor completes the entire response process. …"