Fuzzy rule base. by Shayesteh Tabatabaei (12280016)

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

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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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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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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. …”

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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Performance of various fraudulent user detection algorithms on Bitcoin OTC and Bitcoin Alpha datasets, AUC metrics. Source: [16, 17]. by Agata Skorupka (20469080)

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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. …”

S1 Data - by Dai Wan (20108122)

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Method of work. by Rodrigo Gutiérrez Benítez (19746443)

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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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Performance comparison for different algorithms reported in terms of bootstrapped canonical correlation of each component. by Shashwat Kumar (19120858)

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. …”

Here is the extracted cattle’s image from the original image using YOLOv5 algorithm, which accurately detects and isolates the cattle for further processing. by Md Junayed Hossain (22615268)

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