AIMC Topic: Spectrum Analysis

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Predicting leaf nitrogen content in wolfberry trees by hyperspectral transformation and machine learning for precision agriculture.

PloS one Sep 26, 2024
Leaf nitrogen content (LNC) is an important indicator for scientific diagnosis of the nutrition status of crops. It plays an important role in the growth, yield and quality of wolfberry. This study aimed to develop new spectral indices (NSIs) and con...
Nitrogen Agriculture Spectrum Analysis Plant Leaves Lycium Machine Learning Algorithms
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Integrating Laser-Induced Breakdown Spectroscopy and Ensemble Learning as Minimally Invasive Optical Screening for Diabetes.

Applied spectroscopy Sep 5, 2024
Diabetes mellitus is a prevalent chronic disease necessitating timely identification for effective management. This paper introduces a reliable, straightforward, and efficient method for the minimally invasive identification of diabetes mellitus thro...
Machine Learning Adult Humans Principal Component Analysis Male Spectrum Analysis Lasers Diabetes Mellitus
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Explainable artificial intelligence for spectroscopy data: a review.

Pflugers Archiv : European journal of physiology Aug 1, 2024
Explainable artificial intelligence (XAI) has gained significant attention in various domains, including natural and medical image analysis. However, its application in spectroscopy remains relatively unexplored. This systematic review aims to fill t...
Spectrum Analysis Artificial Intelligence Humans Animals
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Classification of e-waste using machine learning-assisted laser-induced breakdown spectroscopy.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA May 9, 2024
Waste management and the economy are intertwined in various ways. Adopting sustainable waste management techniques can contribute to economic growth and resource conservation. Artificial intelligence (AI)-based classification is very crucial for rapi...
Machine Learning Aluminum Alloys Electronic Waste Lasers Principal Component Analysis Waste Management Spectrum Analysis
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Pixelated High- Metasurfaces for in Situ Biospectroscopy and Artificial Intelligence-Enabled Classification of Lipid Membrane Photoswitching Dynamics.

ACS nano Apr 23, 2024
Nanophotonic devices excel at confining light into intense hot spots of electromagnetic near fields, creating exceptional opportunities for light-matter coupling and surface-enhanced sensing. Recently, all-dielectric metasurfaces with ultrasharp reso...
Membrane Lipids Spectrum Analysis Surface Properties Artificial Intelligence Deep Learning
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Real-time classification of tumour and non-tumour tissue in colorectal cancer using diffuse reflectance spectroscopy and neural networks to aid margin assessment.

International journal of surgery (London, England) Apr 1, 2024
BACKGROUND: Colorectal cancer is the third most commonly diagnosed malignancy and the second leading cause of mortality worldwide. A positive resection margin following surgery for colorectal cancer is linked with higher rates of local recurrence and...
Colorectal Neoplasms Male Aged Aged, 80 and over Margins of Excision Middle Aged Spectrum Analysis Neural Networks, Computer Machine Learning Prospective Studies Female Humans
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Physics-assisted machine learning for THz time-domain spectroscopy: sensing leaf wetness.

Scientific reports Mar 25, 2024
Signal processing techniques are of vital importance to bring THz spectroscopy to a maturity level to reach practical applications. In this work, we illustrate the use of machine learning techniques for THz time-domain spectroscopy assisted by domain...
Machine Learning Water Physics Plant Leaves Spectrum Analysis
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Advancing Soil Health: Challenges and Opportunities in Integrating Digital Imaging, Spectroscopy, and Machine Learning for Bioindicator Analysis.

Analytical chemistry Mar 15, 2024
Soil Environmental Monitoring Machine Learning Spectrum Analysis
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Automatic Prediction of Peak Optical Absorption Wavelengths in Molecules Using Convolutional Neural Networks.

Journal of chemical information and modeling Feb 29, 2024
Molecular design depends heavily on optical properties for applications such as solar cells and polymer-based batteries. Accurate prediction of these properties is essential, and multiple predictive methods exist, from to data-driven techniques. Alt...
Bayes Theorem Neural Networks, Computer Spectrum Analysis Machine Learning Density Functional Theory
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Real-Time Tissue Classification Using a Novel Optical Needle Probe for Biopsy.

Applied spectroscopy Feb 19, 2024
Core needle biopsy is a part of the histopathological process, which is required for cancerous tissue examination. The most common method to guide the needle inside of the body is ultrasound screening, which in greater part is also the only guidance ...
Needles Male Biopsy, Large-Core Needle Lung Kidney Liver Machine Learning Spectrum Analysis Rats Animals Support Vector Machine
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