Abstract: The spectral clustering is a typical and efficient clustering algorithm. However, the performance of spectral algorithm depends on the determination of the appropriate similarity matrix and ...
Library Evolutionary Algorithms for Clustering (LEAC) is a library of genetic algorithms to solve the problem of partition clustering. It includes 22 classification genetic algorithms for solving ...
Between December 2020 and July 2022, we conducted a 52-week, open-label, single-arm trial of 100 adults aged 18–75 with asthma, with 25 patients each on Global Initiative for Asthma 2018 treatment ...
cDepartment of Hematology, Oncology and Radiation Physics, Region Skåne, Lund, Sweden dDepartment of Genetics, Pathology and Molecular Diagnostics, Laboratory Medicine, Region Skåne, Lund, Sweden ...
Fracture healing is a complex process which sometimes results in non-unions, leading to prolonged disability and high morbidity. Traditional methods of optimising fracture treatments, such as in vitro ...
wasmVision is a high-performance computer vision processing engine that includes advanced algorithms and vision models for machine learning. It is designed to be customized and extended using ...
Introduction: The retrospective analysis of continuous glucose monitoring (CGM) timeseries can be hampered by colored and non-stationary measurement noise. Here, we introduce a Bayesian denoising (BD) ...
Abstract: This study proposes an improved color correction algorithm based on Fuzzy c-means (FCM) clustering algorithm and Wallis filtering to address the problem of spectral drift in image stitching.
Cosmetic Results and Side Effects of Accelerated Partial-Breast Irradiation Versus Whole-Breast Irradiation for Low-Risk Invasive Carcinoma of the Breast: The Randomized Phase III IRMA Trial We ...
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