Data transfer time (s) from GPU to CPU in different ncol cases when using CUDA stream technology. by Yongfei Wang (608480)

Data transfer time (s) from CPU to GPU in different ncol cases when using CUDA stream technology. by Yongfei Wang (608480)

Data augmentations used on the data during model training. by Henrik Mustonen (20378529)

Average processing time versus GPU utilization. by Shinan Ding (20783580)

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Machine learning prediction algorithm flow chart. by Ahmad M. Al-Omari (20460931)

GA process. by Jianpeng Zhang (528185)

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Classification performance of each category of the test set in MLP during the improved processes. by Lu Xiao (314030)

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Classification performance of the entire test set in the MLP classifier during the improved processes. by Lu Xiao (314030)

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DeepGlobe Land Cover Classification Examples: Shows satellite images processed by classification algorithms, with land cover types such as agricultural land, forests, urban areas,... by Mingzhen Lu (21782047)

Typical results of using the WSINDy algorithm for example problem L.3 in Table 2 with the library presented in Table 3, , and 50 points in time. by Rainey Lyons (22806496)

Ablation comparison experimental data. by Tengfei Ma (597633)

Supplementary materials for PhD thesis "Satellite thermal remote sensing of active volcanoes : understanding volcanic processes and application to automated monitoring algorithms" by Saskia Marjoleine van Manen (21687540)

“…</p><p dir="ltr">Quantitative retrospective analysis of coarse resolution thermal time series and multiparametric studies are used to improve the understanding of volcanic activity and to advance existing monitoring algorithms. …”

Reshaping Industrial Maintenance with Machine Learning: Fouling Control Using Optimized Gaussian Process Regression by Francesco Negri (12992994)

“…The algorithm’s predictive capabilities are validated on five distinct data sets representing the evolution of the column’s pressure differential, a key indicator of fouling. …”

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. …”

Flowchart diagram illustrating the data analysis process using machine learning models. by Isabela Bittencourt Basso (14178739)

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Coarse-grained motion segmentation process. by Shinan Ding (20783580)

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Image Clarity Processing Flow. by Cheng-jie Chen (22272090)

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Ten test sets of data. by Hao Cao (2248066)

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Flowchart of the proposed Margin Weighted Robust Discriminant Score (MW-RDS) algorithm. by Sheema Gul (21519289)

Flow diagram of forest management decision-making process using Habplan and <i>HabplanR</i>. by Max D. Jones (6269006)