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Data Analysis

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Phenolic content discrimination in Thai holy basil using hyperspectral data analysis and machine learning techniques.

PloS one
Hyperspectral imaging has emerged as a powerful tool for the non-destructive assessment of plant properties, including the quantification of phytochemical contents. Traditional methods for antioxidant analysis in holy basil (Ocimum tenuiflorum L.) ar...

[Experience of Data Analysis application for proceeding research data in solving the problem of target age group establishment].

Sudebno-meditsinskaia ekspertiza
The article presents the experience of artificial intelligence application in research process. The article contains general information about basic concepts of machine learning (clustering and visualization), as well as considers more detaily an exp...

Data modeling analysis of GFRP tubular filled concrete column based on small sample deep meta learning method.

PloS one
The meta-learning method proposed in this paper addresses the issue of small-sample regression in the application of engineering data analysis, which is a highly promising direction for research. By integrating traditional regression models with opti...

The artificial intelligence advantage: Supercharging exploratory data analysis.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Explorative data analysis (EDA) is a critical step in scientific projects, aiming to uncover valuable insights and patterns within data. Traditionally, EDA involves manual inspection, visualization, and various statistical methods. The advent of arti...

Integrating machine learning and geospatial data analysis for comprehensive flood hazard assessment.

Environmental science and pollution research international
Flooding is a major natural hazard worldwide, causing catastrophic damage to communities and infrastructure. Due to climate change exacerbating extreme weather events robust flood hazard modeling is crucial to support disaster resilience and adaptati...

HerbMet: Enhancing metabolomics data analysis for accurate identification of Chinese herbal medicines using deep learning.

Phytochemical analysis : PCA
INTRODUCTION: Chinese herbal medicines have been utilized for thousands of years to prevent and treat diseases. Accurate identification is crucial since their medicinal effects vary between species and varieties. Metabolomics is a promising approach ...

An end-to-end deep learning method for mass spectrometry data analysis to reveal disease-specific metabolic profiles.

Nature communications
Untargeted metabolomic analysis using mass spectrometry provides comprehensive metabolic profiling, but its medical application faces challenges of complex data processing, high inter-batch variability, and unidentified metabolites. Here, we present ...

Feature-based detection of breast cancer using convolutional neural network and feature engineering.

Scientific reports
Breast cancer (BC) is a prominent cause of female mortality on a global scale. Recently, there has been growing interest in utilizing blood and tissue-based biomarkers to detect and diagnose BC, as this method offers a non-invasive approach. To impro...