AIMC Topic: Extreme Learning Machines

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LGD_Net: Capsule network with extreme learning machine for classification of lung diseases using CT scans.

PloS one Aug 8, 2025
Lung diseases (LGDs) are related to an extensive range of lung disorders, including pneumonia (PNEUM), lung cancer (LC), tuberculosis (TB), and COVID-19 etc. The diagnosis of LGDs is performed by using different medical imaging such as X-rays, CT sca...
COVID-19 Tomography, X-Ray Computed Pandemics Lung Diseases Extreme Learning Machines Lung Neoplasms SARS-CoV-2 Humans Machine Learning Neural Networks, Computer
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Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images.

Scientific reports Jul 15, 2025
Birth complications, particularly jaundice, are one of the leading causes of adolescent death and disease all over the globe. The main severity of these illnesses may diminish if scholars study more about their sources and progress toward effective t...
Humans Machine Learning Infant, Newborn Deep Learning Female Algorithms Jaundice, Neonatal Extreme Learning Machines Image Processing, Computer-Assisted
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Compressed Representation of Extreme Learning Machine with Self-Diffusion Graph Denoising Applied for Dissecting Molecular Heterogeneity.

Journal of computational biology : a journal of computational molecular cell biology Mar 19, 2025
Molecular heterogeneity exists in many biological systems, such as major malignancies or diverse cell populations. Clustering of gene expression profiles has been widely used to dissect molecular heterogeneity. One drawback common to most clustering ...
Extreme Learning Machines Cluster Analysis Neoplasms Computational Biology Gene Expression Profiling Humans Algorithms Machine Learning
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Prediction of suspended sediment load in Sungai Semenyih using extreme learning machines and metaheuristic optimization approach.

Journal of environmental management Mar 17, 2025
Suspended sediment load (SSL) refers to sediment particles, such as silt and clay, that are suspended in water. It plays a critical role in hydrology and water quality management, influencing factors such as water quality, river erosion, sedimentatio...
Machine Learning Extreme Learning Machines Water Quality Geologic Sediments Environmental Monitoring Rivers
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Variational mode decomposition unfolded extreme learning machine for spectral quantitative analysis of complex samples.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Nov 5, 2025
Considering the advantages of variational mode decomposition (VMD) in mathematical decomposition and extreme learning machine (ELM) in data modeling, a new regression model named variational mode decomposition unfolded extreme learning machine (VMD-U...
Extreme Learning Machines Hemoglobins Panax notoginseng Spectrum Analysis Machine Learning Least-Squares Analysis Humans
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A robust chronic obstructive pulmonary disease classification model using dragonfly optimized kernel extreme learning machine.

Scientific reports May 28, 2025
Chronic obstructive pulmonary disease (COPD) is considered to be one of the most commonly occurring respiratory disorders and is proliferating at an extremely high rate in the recent years. The proposed system aims to classify the various stages of C...
Machine Learning Tomography, X-Ray Computed Middle Aged Algorithms Male Humans Aged Female Extreme Learning Machines Pulmonary Disease, Chronic Obstructive Lung
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