Journal of chemical information and modeling
Apr 4, 2016
Dynamic force spectroscopy (DFS) measurements on biomolecules typically require classifying thousands of repeated force spectra prior to data analysis. Here, we study classification of atomic force microscope-based DFS measurements using machine-lear...
Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
Aug 15, 2015
Applying Artificial Neural Network to an alpha spectrometry system is a good idea to discriminate the composition of environmental and non-environmental materials by the estimation of the (234)U/(238)U activity ratio. Because it eliminates limitation...
Medical oncology (Northwood, London, England)
Nov 30, 2014
Combined with terahertz time-domain spectroscopy, the feasibility of fast and reliable diagnosis of cervical carcinoma by a fuzzy rule-building expert system (FuRES) and a fuzzy optimal associative memory (FOAM) had been studied. The terahertz spectr...
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...
Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Nov 1, 2025
The method based on machine learning and laser-induced breakdown spectroscopy (LIBS) is effective for rapid characterization of waste organic polymers (WOP). However, the lack of mechanistic interpretability leads to raises concerns regarding its rel...
Comprehensive reviews in food science and food safety
Sep 1, 2025
Cereal quality significantly influences human health, requiring thorough evaluation of authenticity, nutritional composition, and food safety hazards. Conventional detection methods are often characterized by limitations, including time-consuming int...
Journal of the science of food and agriculture
Sep 1, 2025
BACKGROUND: Chlorophyll content during the drying process of tencha, as the precursor of matcha before grinding, is bound up with sensory evaluation of the final product. This study employed a snapshot multispectral technology in conjunction with che...
Food research international (Ottawa, Ont.)
Aug 1, 2025
Spectroscopy is a rapidly advancing analytical technique, which is increasingly employed in the food industry as a non-destructive and rapid quality control tool. Based on spectral analysis and developed multivariate predictive models this technique ...
Food research international (Ottawa, Ont.)
Jun 1, 2025
The rapid identification of coffee species and origin is critical for ensuring quality control and authenticity in the coffee industry. This study explores the use of an affordable multi-channel spectral sensor, AS7265X (410-940 nm), combined with ma...
Vibrational spectroscopy combined with machine learning has a great potential for forensic research. Portable Raman spectrometers are already being used by law-enforcement agencies to identify drugs. Several new technologies based on vibrational spec...
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