K-shortest path algorithm, finding count, and OD algorithm. by Jin Ki Eom (21192426)

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

Subjects:

Flight path in three-dimensional space. by Yingbo Mao (22522192)

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Schematic diagram of obstacle-avoiding paths. by Yingbo Mao (22522192)

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Random Forest and Gradient Boosting algorithms. by Yvan J. Garcia-Lopez (20783591)

CatBoost algorithm structure to predict clinical outcome. by Andrew McDonald (2307400)

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

Flowchart of Floyd’s shortest path dual graph algorithm. by Anqi Jiang (4583380)

Meanings of model symbols. by Yingbo Mao (22522192)

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Shortest path calculation using Dijkstra’s Algorithm. by Qing Zhu (349093)

“…<p>The figure illustrates the shortest path from Node 0 to Node 9 in a road network modeled as a graph of charging stations. …”

Light path diagram. by Yuliang Yuan (4478698)

Map Environment model map. by Yun Qi (560401)

Summary of Experimental Setup, which presents the hardware configuration, model training parameters, and key settings for the path planning algorithm. by Yan Chen (4308)

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A* Path-Finding Algorithm to Determine Cell Connections by Max Weng (22327159)

“…Future work aims to generalize this algorithm for broader biological applications by training additional Cellpose models and adapting the A* framework.…”

Data Sheet 1_Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis.docx by Jingtai Ma (21225476)

XG boosting evaluation. by Azhar Imran (17720751)

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Scatter diagram of different principal elements. by Jizhong Wang (7441697)

Model diagram. by Tiechao Liu (20396420)

“…The artificial potential field is integrated into the ant colony algorithm, and combined with the extended Moore type cellular automata, an extended cellular automata model based on the potential field ant colony algorithm is proposed to optimize the calculation of personnel evacuation and path planning in the evacuation area. …”

Datasets used for performance measurements of the GPU algorithm for identifying longest flow paths in catchments by Bartłomiej Kotyra (17535291)

Algorithm comparison. by Manxian Yang (20521600)

“…In the context of multi-machine scheduling, the BNSGA-III algorithm outperforms the NSGA-II, NSGA-III, and MOEA/D algorithms, achieving improvements in total travel distance (12.3% to 34.4%), path balance (60.9% to 66.2%), and workload distribution (78.7% to 92.9%). …”