Results 61 to 70 of about 741 (209)
Food Science &Nutrition, Volume 8, Issue 9, Page 5172-5181, September 2020., 2020 A Nondestructive Testing Method for Soluble Solids content in Korla Fragrant Pears Based on Electrical Properties and Artificial Neural Network. Abstract The detection of soluble solid content in Korla fragrant pear is a destructive and time‐consuming endeavor. In effort to remedy this, a nondestructive testing method based on electrical properties and
Haipeng Lan +6 more
wiley +1 more source
Risk Prediction of Dyslipidaemia in Steel Workers using Recurrent Neural Network Framework [PDF]
, 2023 With the development of medical digitization technology, artificial intelligence and big data technology, the medical model is gradually changing from treatment-oriented to prevention-oriented. In recent years, with the rise of artificial neural networks,
Mohammed Khan, Yadaiah Vaspari, Rajini Akula
core +2 more sources
Deep multiblock predictive modelling using parallel input convolutional neural networks [PDF]
, 2021 In the domain of chemometrics, multiblock data analysis is widely performed for exploring or fusing data from multiple sources. Commonly used methods for multiblock predictive analysis are the extensions of latent space modelling approaches.
Alinaghi +39 more
core +1 more source
Realizing transfer learning for updating deep learning models of spectral data to be used in new scenarios [PDF]
, 2021 This study presents the concept of transfer learning (TL) to the chemometrics community for updating DL models related to spectral data, particularly when a pre-trained DL model needs to be used in a scenario having unseen variability.
Mishra, Puneet, Passos, Dário
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Effect of 5-Aminolevulinic Acid on the Quality and Volatile Metabolites of Korla Fragrant Pear Fruit [PDF]
Shipin KexueIn this study, the effect of applying different concentrations (50, 100, 150 and 200 mg/L) of 5-aminolevulinic acid (5-ALA) at the fruit swelling stage on the quality and volatile metabolites of Korla fragrant pear fruit was examined. The quality of pear
SUN Tianyu, WEN Bo, WANG Chunfeng, TIAN Jia, HAO Zhichao, LIN Yan, WEN Yue, ZHANG Feng
doaj +1 more source
Observation and Measurement of Ice Morphology in Foods: A Review [PDF]
, 2023 Freezing is an effective technology with which to maintain food quality. However, the formation of ice crystals during this process can cause damage to the cellular structure, leading to food deterioration.
Castillo-Suero, Alison +7 more
core +2 more sources
Plant impedance spectroscopy: a review of modeling approaches and applications [PDF]
, 2023 Electrochemical impedance spectroscopy has emerged over the past decade as an efficient, non-destructive method to investigate various (eco-)physiological and morphological properties of plants. This work reviews the state-of-the-art of impedance spectra
Bernard De Baets +2 more
core +1 more source
Estimation of soluble solids content and fruit temperature in 'rocha' pear using Vis-NIR spectroscopy and the spectraNet–32 deep learning architecture [PDF]
, 2023 Spectra-based methods are becoming increasingly important in Precision Agriculture as they offer non-destructive, quick tools for measuring the quality of produce. This study introduces a novel approach for esti-mating the soluble solids content (SSC) of
Antunes, Maria Dulce +4 more
core +1 more source
, 2013 This paper analyses the motives, processes, and effects of urbanisation in Korla, a small but rapidly expanding city in northwest China, where the author conducted over two years of fieldwork.
Cliff, Tom
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Applied Sciences, 2019 Korla fragrant pear is prestigious for its special texture and unique flavor but suffers storage and supply chain difficulties for its deterioration-prone properties.
Jingjing Liu +5 more
doaj +1 more source