Reflection matrix microscopy data and CLASS algorithms by Sungsam Kang (18931031)

“…The package contains detailed algorithm implementations, experimental and numerical data to promote the widespread adoption of RMM in various deep-tissue imaging applications (see detailed documentation for our tutorial paper: <a href="https://iopscience.iop.org/article/10.1088/2515-7647/adb7af" rel="noreferrer" target="_blank">Kang, S., Yoon, S. & Choi, W.…”

Performance of models by different algorithms. by Yong Zhang (5893)

“…This disease can progress to cirrhosis and liver cancer, posing a significant threat to public health. To facilitate early diagnosis and intervention, this study aims to develop an efficient and reliable prediction model for MASLD using machine learning algorithm.…”

The speed of anchor-based algorithms. by Olarewaju Mubashiru Lawal (14710251)

The speed of anchor-free algorithms. by Olarewaju Mubashiru Lawal (14710251)

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

“…These classification algorithms often requires conversion of a medical data to another space in which the original data is reduced to important values or moments. …”

Overview of the Cell2Spatial algorithm. by Huamei Li (8815955)

“…SC and spatial transcriptomics (ST) data were standardized using <i>SCTransform</i> in Seurat, with cell-type-specific genes identified through a modified entropy-based method (Step 1). …”

Flowchart of the 3D-NLE-BF algorithm. by Haiyan Zhang (176919)

Subjects:

Four of major products corresponding to Insulin fragments, using MaM algorithm, after incubutation with IDE. by Paula Cifuentes (22050278)

Subjects:

Extracted ion chromatograms of Taspoglutide after 24 hours of incubation with DPP-4, using both algorithms. by Paula Cifuentes (22050278)

Subjects:

Landslide susceptibility maps of the study area were developed using the RF algorithm for (a) post-Ketsana, (b) post-Podul, and (c) post-Molave periods. by Raja Das (1841107)

Example measurement and analysis units for landscape elements. by Jaewon Han (8660295)

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Implementing artificial intelligence and machine learning algorithms for optimized crop management: a systematic review on data-driven approach to enhancing resource use and agricultural sustainability by Okechukwu Paul-Chima Ugwu (21578037)

Comparison of mass attenuation coefficient calculated by Geant4 simulation and acquired from NIST data. by Dong Hyeok Choi (12562048)

High-Precision Landing on a Moving Platform Based on Drone Vision Using Yolo Algorithm by Satoshi Suzuki (20437556)

“…This paper focuses on developing a landing system designed to achieve real-time precise navigation by integrating Global Navigation Satellite System(GNSS) with the quadcopter’s vision data. …”

Supplementary data for "Algorithm-level data-guided correction for class imbalance in biological machine learning predictions: Protein interactions as a case" by Ebrahim Barzegari (21152114)

“…Correct and efficient use of algorithm-level methods, on the other hand, needs paying heed to data structure and content. …”

Dual deconvolution algorithm: analysis code with experimental data by Wonshik Choi (18877660)

“…<p dir="ltr">This software package provides key algorithms for dual-deconvolution microscopy analysis, along with both experimental and numerical data. …”

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

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

DataSheet1_Study on risk factors of impaired fasting glucose and development of a prediction model based on Extreme Gradient Boosting algorithm.docx by Qiyuan Cui (19729288)

“…Objective<p>The aim of this study was to develop and validate a machine learning-based model to predict the development of impaired fasting glucose (IFG) in middle-aged and older elderly people over a 5-year period using data from a cohort study.…”

Algorithm: CL-selector. by Zhejun Sun (9873500)