The main components and data flow of the proposed algorithm. by Raed Alharthi (18340157)

Prediction performance compared with the CART algorithm. by Yixian Wen (12201388)

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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. …”

Flow chart of the search process. by Lei Gao (6566)

“…Compared to traditional algorithms, machine learning algorithms are more effective at capturing nonlinear relationships and developing more accurate diagnostic and predictive models.…”

Parameters of smart appliances used in the developed model. by Hisham Alghamdi (20114096)

One dimensional max pooling process. by Yu Jie Guang (22184340)

Process of One Dimensional Convolution Operation. by Yu Jie Guang (22184340)

Data Sheet 1_Development and validation of an endoscopic diagnostic model for sessile serrated lesions based on machine learning algorithms.docx by Xinying Yu (16400811)

“…Background and aims<p>Sessile serrated lesions (SSLs) are morphologically subtle and often misclassified as hyperplastic polyps (HPs), increasing colorectal cancer risks. We developed a machine learning (ML) model to improve endoscopic SSL diagnosis.…”

Processing pipeline dependency chain. by Michael E. Kim (21956727)

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Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

Composition spectrum of primary ilmenite based on microanalysis of the elemental composition of the grains with an EDS sensor. by Gabriel Prates Hallal (19555976)

Diagram of ABC rejection algorithm process in two-parameter case. by Maya Horii (20410147)

Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence" by Yifei Gu (9507104)

“…</p><p dir="ltr">Firstly, a Python package HSC3D, was developed to quantify habitat structural complexity (HSC) at the community level. …”

The details of the results related to the evaluated algorithms. by Mohammadreza Namdar (22439057)

Security algorithm framework. by Ali Shahzad (15251641)

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

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Data results under different time series processing techniques. by Jiayuan Wang (3765376)

The algorithm convergence when the number of buyers and sellers varies. by Quyuan Wang (8724972)

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Pre-processing process of radar diagram. by Mengmeng Pan (6475064)

Computational cost of anchor-based algorithms. by Olarewaju Mubashiru Lawal (14710251)