GenSearch algorithm. حسب Tarun Khajuria (12117309)

الموضوعات:

Algorithm pseudocode. حسب Cheng-jie Chen (22272090)

الموضوعات:

Algorithm detection steps. حسب José M. Rivera-Arbeláez (12418512)

Example measurement and analysis units for landscape elements. حسب Jaewon Han (8660295)

الموضوعات:

Solving process of gradient-based search. حسب Tarun Khajuria (12117309)

الموضوعات:

Line fringe structured light generation process. حسب Guofeng Qin (11025170)

Performance across difficulty levels. حسب Tarun Khajuria (12117309)

الموضوعات:

Folder with all data and algorithms حسب Jorge Servert Lerdo de Tejada (22290001)

Classifying objects in constellation images. حسب Tarun Khajuria (12117309)

الموضوعات:

Averaged absorption spectra as a function of cost <i>χ</i> for varying light environments (red light, top row; shallower water, middle row; deeper water, bottom row) and light leve... حسب Callum Gray (2691769)

الموضوعات:

Image Clarity Processing Flow. حسب Cheng-jie Chen (22272090)

الموضوعات:

Proposed model details. حسب Yucai Wang (513301)

الموضوعات: "…adaptive equalization algorithm…"

The iterative process of genetic algorithm in the upper-level model. حسب Zhipeng Huang (1759759)

الموضوعات:

Face detection process based on AdaBoost algorithm. حسب Yingying Mei (13817440)

Accuracy and average dots covered for difficulty level 11 using gradient descent to find the optimal solution. حسب Tarun Khajuria (12117309)

الموضوعات:

Solutions by Pix2pix model. حسب Tarun Khajuria (12117309)

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Evaluation parameter performance of each algorithm (In six light scenes). حسب Chao Ma (207385)

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Algorithm testing. حسب Ziad M. Ali (12516532)

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Illustration of the recursive objective space exploration process implemented by the ROSE algorithm. حسب Ihab Hashem (21156806)

الموضوعات:

The Search process of the genetic algorithm. 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. …"