Precision plots of SiamFC_TDA algorithm and comparison algorithm on UAV123 for each challenge attribute. by Yi Tao (178829)

Success plots of SiamFC_TDA algorithm and comparison algorithm on UAV123 for each challenge attribute. by Yi Tao (178829)

Precision plots of SiamFC_TDA algorithm and comparison algorithm on TC-128 for each challenge attribute. by Yi Tao (178829)

Success plots of SiamFC_TDA algorithm and comparison algorithm on TC-128 for each challenge attribute. by Yi Tao (178829)

Simulation validation, experimental results and performance of mass parameter estimation algorithm by Silvia Eldring (21350045)

“…Mass moment of inertia estimation as implemented requires further development but allows for adjustment of the parameters based on changes in mass, thus offering an improvement over assuming these parameters to be constant.…”

GA process. by Jianpeng Zhang (528185)

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Effect of video processing rate and algorithms performance on the estimation of species composition of simulated communities. by Valentine Fleuré (12822137)

Subjects:

Effect of video processing rate and algorithms performance on the estimation of the abundance-structure of simulated communities. by Valentine Fleuré (12822137)

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Data Sheet 1_Semantic composition of robotic solver algorithms on graph structures.pdf by Sven Schneider (1366548)

Success plots of SiamFC_TDA algorithm and comparison algorithm on UAV20L for each challenge attribute. by Yi Tao (178829)

Precision plots of SiamFC_TDA algorithm and comparison algorithm on UAV20L for each challenge attribute. by Yi Tao (178829)

The update process of the structure centers on the Football network when initialized by Algorithm 1. by Bing Guo (25387)

The main components and data flow of the proposed algorithm. by Raed Alharthi (18340157)

Prediction performance compared with the CART algorithm. by Yixian Wen (12201388)

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Data Sheet 1_Exploring immune-inflammation markers in psoriasis prediction using advanced machine learning algorithms.pdf by Li Yang (6520)

“…Subsequently, nine classification algorithms were developed using the processed training set, including random forest, neural networks, XGBoost, k-nearest neighbors, gradient boosting, logistic regression, naïve Bayes, AdaBoost, and SVMs. …”

Flow chart of the search process. by Lei Gao (6566)

“…Compared to traditional algorithms, machine learning algorithms are more effective at capturing nonlinear relationships and developing more accurate diagnostic and predictive models.…”

Parameters of smart appliances used in the developed model. by Hisham Alghamdi (20114096)

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

One dimensional max pooling process. by Yu Jie Guang (22184340)

Process of One Dimensional Convolution Operation. by Yu Jie Guang (22184340)