Table 1_Intra- and inter-rater reliability in log volume estimation based on LiDAR data and shape reconstruction algorithms: a case study on poplar logs.docx by Gabriel Osei Forkuo (16752444)

“…Computer-based algorithms like Poisson interpolation and Random Sampling and Consensus (RANSAC) are commonly used to extract volume data from LiDAR point clouds, and comparative studies have tested these algorithms for accuracy. …”

PC-II samples obtained using m = 7 observations. by Qin Gong (118801)

“…In this process, we use the bootstrap method to construct confidence intervals for Shannon entropy and Rényi entropy. …”

Periodic Table’s Properties Using Unsupervised Chemometric Methods: Undergraduate Analytical Chemistry Laboratory Exercise by Adrian Gabriel Pereira de Quental (20382423)

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Periodic Table’s Properties Using Unsupervised Chemometric Methods: Undergraduate Analytical Chemistry Laboratory Exercise by Adrian Gabriel Pereira de Quental (20382423)

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The weight optimization process. by Guomei Cui (20721578)

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Data supporting figures and tables in Reimagining Electrical Diagrams in Construction: Automated Symbol Detection and Wiring Design and Generation with Deep Learning by IKENNA EKEKE (20996041)

“…</li><li>Evaluating automated wiring algorithms using modified A* search for layout optimisation.…”

List of the time used by each algorithm. by JiaMing Gong (20427837)

“…To this end, this paper proposes an entropy-based dynamic ensemble classification algorithm (EDAC) to consider data streams with class imbalance and concept drift simultaneously. …”

Sanitized databases using MLHProtector algorithm. by Loan T. T. Nguyen (20660789)

“…<div><p>Privacy is as a critical issue in the age of data. Organizations and corporations who publicly share their data always have a major concern that their sensitive information may be leaked or extracted by rivals or attackers using data miners. …”

ML algorithms used in this study. by Toheeb Salahudeen (21368040)

A classification scheme of bipartite randomization algorithms, based on whether the matrix row and columns sums are preserved exactly (Fixed, <i>F</i>), preserved on average (Propo... by Zachary P. Neal (9946331)

Process of facial feature extraction and recognition method based on ipca algorithm. by Lu Lin (201289)

Block diagram of the proposed algorithm for estimation of stationary moving average processes. by Martin Dodek (20623832)

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Data Sheet 1_Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China.docx by Hanyu Zhang (1425250)

“…Introduction<p>The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in tree species classification.</p>Methods<p>UAV-LiDAR point clouds of Populus alba, Populus simonii, Pinus sylvestris, and Pinus tabuliformis from 12 sample plots, 2,622 tree in total, were obtained in North China, training and testing sets were constructed through data pre-processing, individual tree segmentation, feature extraction, Non-uniform Grid and Farther Point Sampling (NGFPS), and then four tree species were classified efficiently by two machine learning algorithms and two deep learning algorithms.…”

Schematic overview of the diagnostic workflow and sample validation process upon study participants enrolment. by Sofia Ardiles-Ruesjas (20691572)

Data for Figs 3–9. by Xiaogang Li (299205)

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Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Sample data table of collapse risk assessment. by Xiaoyi Zhou (8603268)

“…Secondly, the linear programming algorithm is used to select the specific weight of each collapse sample when the risk is the largest in the interval. …”

Element model generation method with geometric distribution errors by Yiqi Liu (21357815)

“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”

Enhancing off-policy optimisation in structured Markov decision processes via Thompson Sampling by Sourav Ganguly (293262)

“…We propose a novel algorithm that integrates Thompson Sampling, originally developed for multi-armed bandit problems, to enable efficient and safe policy identification. …”