Results of each filtering method on the point cloud in the example region(a: September 2023 single epoch point cloud; b: the example region; c: manual filtering results; d: Filteri... by Xiaowei Li (620087)

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Computing time for the real-world analysis for each algorithm under consideration. The analysis is based on data from the National Health and Nutrition Examination Survey (NHANES)... by Mohammad Ehsanul Karim (3234213)

Data sources, imputation methods, and engineered features. by Yasmine M. Mohamed (21601663)

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A schematic diagram of the settlement spatial distribution model based on factor analysis integrated with the hierarchical clustering algorithm. by Xiaojie Feng (6873953)

Subjects: “…hierarchical clustering algorithm…”

Competitor methods results on ML-100K dataset. by Muhammad Waqar (500788)

“…The proposed work experiments eight state-of-the-art biclustering algorithms to identify the appropriate biclustering algorithm for the given recommendation task. …”

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

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Comparison of Point Cloud rigid registration algorithms. by Morena Raiola (22439390)

“…We assessed the performance of the most popular methods for rigid point set registration: ICP [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013275#pcbi.1013275.ref039" target="_blank">39</a>] and the CPD [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013275#pcbi.1013275.ref040" target="_blank">40</a>] and TMM-based [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013275#pcbi.1013275.ref020" target="_blank">20</a>] algorithms. …”

Color correction methods used for enhancing underwater images and related articles. by Yong Lin Lai (20854961)

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Challenges faced by the color correction methods used for enhancing underwater images. by Yong Lin Lai (20854961)

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Relative prediction error of candidate methods relative to the PNLR with a threshold of 0.05. by Lulu Pan (8977979)

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Relative prediction error of candidate methods relative to the PNLR with a threshold of 0.1. by Lulu Pan (8977979)

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Relative prediction error of candidate methods relative to the PNLR with a threshold of 0.15. by Lulu Pan (8977979)

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Multi-material topology optimization using scaled boundary finite element method by Mohammed Saif Zamiruddin Siddiqui (22384884)

“…SBFEM is implemented and its performance is tested across different density interpolation-based MMTO methods: the Alternating Active-Phase (AAP) algorithm, SIMP with mapping based interpolation, and polygonal mesh based MMTO, PolyMat which uses Discrete Material Optimization (DMO) combined with Zhang–Paulino–Ramos (ZPR) update scheme. …”

Average metrics for the Bitcoin Alpha dataset models grouped by the fact of being based on embedding or on node statistics. by Agata Skorupka (20469080)

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Average metrics for Bitcoin OTC dataset models grouped by the fact of being based on embedding or on node statistics. by Agata Skorupka (20469080)

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Method of work. by Rodrigo Gutiérrez Benítez (19746443)

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Confusion matrix for RUSBoost algorithm (3000 Learning Cycles) highlights the classification accuracy across different classes. by Sadia Nazim (21440115)

Average metrics for TwiBot-20 dataset models grouped by the fact of being based on embedding or on node statistics. by Agata Skorupka (20469080)

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File includes code "Transfer learning.R" and "updatebeta.cpp" for implementing transfer learning methods. by Lulu Pan (8977979)

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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. …”