The general processing diagram used to create OSSL. by José L. Safanelli (20552654)

Unit cell distribution of the indexed HEWL images processed by by Ki Hyun Nam (5813819)

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Unit cell distribution of the indexed GI images processed by by Ki Hyun Nam (5813819)

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Access control block diagram based on fuzzy algorithm. by Yonggang Huang (223155)

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Performance of the U-Net model with CellProfiler post-processing for detection and area determination of respiratory organoids on new data. by Anna Demchenko (18449439)

Health assessment process diagram. by Wenjuan Zhou (115285)

“…First, the Lasso algorithm and Pearson correlation coefficient method are applied to screen key multi-source features from wind turbine operation and maintenance data, quantifying their dynamic correlations with power output. …”

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)

“…For more information, please refer to the thesis  “<a href="https://oro.open.ac.uk/65638/" rel="noreferrer" target="_blank">Satellite thermal remote sensing of active volcanoes : understanding volcanic processes and application to automated monitoring algorithms</a>” via ORO. …”

Specific confirmation process of carbon emission cost. by Liangzheng Wu (20501304)

Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction by Mohamad A. Raja (19640297)

“…To preform accurate forecasts on energy storage, a data-driven machine learning approach based on artificial neural networks (ANN) was optimized via a Bayesian optimization algorithm to predict the structural battery’s future capacity. …”

AugPerSumm: Augmented User Behavior Trajectory Data Collection for Personalized Summarization by Parthiv Chatterjee (22407961)

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Schematic of the directed network flow entropy (DNFE) algorithm. by Xueqing Peng (10678527)

Comparison of accuracy of algorithms under different attack types. by Jianpeng Zhang (528185)

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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. …”

Example of the specific process for generating . by Ming Gao (115719)

Flowchart of the new algorithm. by Jinyu Wang (381467)

“…To address these problems, we propose a new, efficient real-time SLR data processing method. This algorithm combines single-stage filtering with a histogram-based approach and incorporates polynomial fitting to establish a predictive model. …”

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

Comparison of average fitting errors for the three algorithms. by Xiaobing Chen (572034)

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Comparison of knot value distributions for three algorithms. by Xiaobing Chen (572034)

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Comparison of the number of control points for the three algorithms. by Xiaobing Chen (572034)

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Summary of the metrics of the different trained algorithms based on mean and 95% confidence intervals (calculated using t-Student) for the Testing process in each dataset. by Jaime B. Matas-Bustos (21772430)