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. …”

Anonymised data set. by Elizabeth Ajalo (19234898)

“…<div><p>Background</p><p>Chat Generative Pre-trained Transformer (ChatGPT) is a 175-billion-parameter natural language processing model that uses deep learning algorithms trained on vast amounts of data to generate human-like texts such as essays. …”

Experimental data set for dominating sets in random vertex-weighted graphs by Lukas Dijkstra (19091609)

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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Data after data processing. by Jiaqi Wang (369548)

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)

“…</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.…”

Effects of processing rate and algorithms performance on estimates of biodiversity. by Valentine Fleuré (12822137)

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Optimize process data and final results by Dawei Wang (471687)

Parameter settings. by Xueliang Guo (4797057)

“…This study introduces a 3D CNN encoder-decoder architecture specifically designed to enhance the processing capabilities of 3D medical imaging data. …”

Statistics of GI data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

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Statistics of HEWL data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

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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. …”

Comparison of Algorithm Mechanisms and Experimental Settings Between PSO-KM and Benchmark Models. by Hongwei Yue (574068)

Evaluation of performance of different models in fatigue crack type identification. by Li Jiaqing (21212614)

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Fatigue crack identification accuracy of steel bridge panel. by Li Jiaqing (21212614)

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AE positioning projection. by Li Jiaqing (21212614)

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Evaluation of denoising effect. by Li Jiaqing (21212614)

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Comparison of AE signal time-frequency waveform under different conditions. by Li Jiaqing (21212614)

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Time-domain and frequency-domain waveform diagrams of AE signals collected from the damaged area. by Li Jiaqing (21212614)

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