AIMC Topic: Principal Component Analysis

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LACE-UP: An ensemble machine-learning method for health subtype classification on multidimensional binary data.

Proceedings of the National Academy of Sciences of the United States of America
Disease and behavior subtype identification is of significant interest in biomedical research. However, in many settings, subtype discovery is limited by a lack of robust statistical clustering methods appropriate for binary data. Here, we introduce ...

Meta-Analysis Informed Functional Connectomes Representations for Depression Identification.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Meta-analyses in neuroimaging have gained popularity. However, their clinical utility remains uncertain. Convergent masks, containing repeated clusters from publications, are often focal and small, and voxel-wise features can lead to the ...

Discrimination on potential adulteration of honey by differential scanning calorimetry (DSC) and graph-based semi-supervised learning (GSSL).

Food chemistry
Honey is a valuable natural food product, prized for its nutritional and therapeutic properties. However, the widespread issue of honey adulteration, often involving the addition of plant-based syrups, poses significant challenges to global markets. ...

Deep learning-based recognition model of football player's technical action behavior using PCA-LBP algorithm.

Scientific reports
Football is a sport that requires sportsmen to have both physical strength and physical features. It must consider the distinctions between individuals and then provide targeted training. Football players can perform better on the field with targeted...

Evaluation of the diagnostic potential of Fourier transform-infrared spectroscopy on urine for urothelial bladder cancer: an in-hospital field study.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
The increasing global incidence of bladder cancer necessitates better diagnostic methods. This study investigates the potential of mid-infrared spectroscopy on fresh urine samples as a non-invasive approach for diagnosing bladder urothelial carcinoma...

Rapid and chemical-free technique based on hyperspectral imaging combined with artificial intelligence for monitoring quality and shelf life of dried shrimp.

Food research international (Ottawa, Ont.)
A rapid and chemical-free method based on hyperspectral imaging (HSI) integrated with artificial intelligence (AI) for monitoring dried shrimp quality was developed. Dried shrimp was packaged in a polypropylene bag and chronologically monitored for c...

A sustainable system for predicting appliance energy consumption based on machine learning.

Journal of environmental management
Nowadays, energy conservation is a top priority for sustainable societies, which focus on environmental and economic sustainability to address fossil fuel scarcity, climate change, and increasing environmental pollution. Therefore, planning for energ...

BL-FlowSOM: Consistent and Highly Accelerated FlowSOM Based on Parallelized Batch Learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology
The recent increase in the dimensionality of cytometry data has led to the development of various computational analysis methods. FlowSOM is one of the best-performing clustering methods but has room for improvement in terms of the consistency and sp...