AIMC Topic: Principal Component Analysis

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Parkinson's Disease Classification using Pitch Synchronous Speech Segments and Fine Gaussian Kernels based SVM.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Researchers have been using signal processing based methods to assess speech from Parkinson's disease (PD) patients and identify the contrasting features in comparison to speech from healthy controls (HC). The methodologies follow conventional approa...
Humans Support Vector Machine Parkinson Disease Principal Component Analysis Algorithms Speech
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Data-driven fault detection methods for detecting small-magnitude faults in anaerobic digestion process.

Water science and technology : a journal of the International Association on Water Pollution Research Apr 1, 2020
Early detection of small-magnitude faults in anaerobic digestion (AD) processes is a mandatory step for preventing serious consequence in the future. Since volatile fatty acids (VFA) accumulation is widely suggested as a process health indicator, a V...
Principal Component Analysis Anaerobiosis Fatty Acids, Volatile Support Vector Machine
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Deep Learning for Acute Myeloid Leukemia Diagnosis.

Journal of medicine and life Jan 1, 2020
By changing the lifestyle and increasing the cancer incidence, accurate diagnosis becomes a significant medical action. Today, DNA microarray is widely used in cancer diagnosis and screening since it is able to measure gene expression levels. Analyzi...
Principal Component Analysis Quality Control Leukemia, Myeloid, Acute Deep Learning Humans Neural Networks, Computer
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Digital image technology based on PCA and SVM for detection and recognition of foreign bodies in lyophilized powder.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2020
BACKGROUND: Digital image technology has made great progress in the field of foreign body detection and classification, which is of great help to drug purity extraction and impurity analysis and classification.
Principal Component Analysis Powders Drug Contamination Image Processing, Computer-Assisted Support Vector Machine Freeze Drying Humans
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Antioxidant Proteins' Identification Based on Support Vector Machine.

Combinatorial chemistry & high throughput screening Jan 1, 2020
BACKGROUND: Evidence have increasingly indicated that for human disease, cell metabolism are deeply associated with proteins. Structural mutations and dysregulations of these proteins contribute to the development of the complex disease. Free radical...
Antioxidants Support Vector Machine Proteins Humans Databases, Protein Amino Acid Sequence Principal Component Analysis Sequence Analysis, Protein
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Outlier detection for questionnaire data in biobanks.

International journal of epidemiology Aug 1, 2019
BACKGROUND: Biobanks increasingly collect, process and store omics with more conventional epidemiologic information necessitating considerable effort in data cleaning. An efficient outlier detection method that reduces manual labour is highly desirab...
Algorithms Surveys and Questionnaires Principal Component Analysis Models, Statistical Humans Machine Learning
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Fast honey classification using infrared spectrum and machine learning.

Mathematical biosciences and engineering : MBE Jul 29, 2019
Honey has been one previous natural food in human history. However, as the supply cannot satisfy the market demand, many incidents of adulterated and fraudulent honey have been reported. In Taiwan, some common adulterated honey and fraudulent honey i...
Machine Learning Animals Scattering, Radiation Spectrophotometry, Infrared Principal Component Analysis Food Analysis Honey Models, Statistical Food Industry Support Vector Machine Taiwan Fructose Bees Food Contamination
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Optimal ELM-RBF model and SERS Analysis of Saliva for Classification of NS1.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Extreme Learning Machine (ELM) with Radial Basis Function (RBF) Kernel has demonstrated strong capability in pattern recognition and classification problems. NS1 is a biomarker for flavivirus related diseases, where current detection methods are seru...
Principal Component Analysis Saliva Flavivirus Infections Sensitivity and Specificity Spectrum Analysis, Raman Machine Learning Biomarkers Humans
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Label-free optical hemogram of granulocytes enhanced by artificial neural networks.

Optics express May 13, 2019
An outstanding challenge for immunology is the classification of immune cells in a label-free fashion with high speed. For this purpose, optical techniques such as Raman spectroscopy or digital holographic microscopy have been used successfully to id...
Neutrophils Principal Component Analysis Flow Cytometry Humans Neural Networks, Computer Eosinophils Holography Cell Lineage Cell Separation Spectrum Analysis, Raman
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A SEMG-angle model based on HMM for human robot interaction.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2019
BACKGROUND: An important part of the rehabilitation process using exoskeleton robots has been the creation of a friendly Human Robot Interaction (HRI) system.
Electromyography Humans Principal Component Analysis Range of Motion, Articular Self-Help Devices Markov Chains Neural Networks, Computer Robotics
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