The evolution of chemometrics coupled with near infrared spectroscopy for fruit quality evaluation. II. The rise of convolutional neural networks

J Walsh, A Neupane, A Koirala, M Li… - Journal of Near Infrared …, 2023 - opg.optica.org
The Part 1 prequel to this review evaluated the evolution of modelling techniques used in
evaluation of fruit quality over the past three decades and noted a progression towards the …

[HTML][HTML] Deep Tutti Frutti: Exploring CNN architectures for dry matter prediction in fruit from multi-fruit near-infrared spectra

D Passos, P Mishra - Chemometrics and Intelligent Laboratory Systems, 2023 - Elsevier
Abstract Convolutional Neural Networks (CNNs) have proven to be a valuable Deep
Learning (DL) algorithm to model near-infrared spectral data in Chemometrics. However …

[HTML][HTML] A physics-based machine learning technique rapidly reconstructs the wall-shear stress and pressure fields in coronary arteries

B Morgan, AR Murali, G Preston, YA Sima… - Frontiers in …, 2023 - frontiersin.org
With the global rise of cardiovascular disease including atherosclerosis, there is a high
demand for accurate diagnostic tools that can be used during a short consultation. In view of …

降温方法对不同成熟度鸭梨冰温贮藏中有机酸含量的影响.

仇岑, 晋朝, 齐秋爽, 樊秀花… - Journal of Food …, 2023 - search.ebscohost.com
目的研究冰温贮藏中降温方式对不同成熟度鸭梨中有机酸含量的影响. 方法采用急速降温和缓慢
降温方法对早, 中, 晚3 种不同成熟度的鸭梨进行处理并于冰温下贮藏, 在贮藏期间使用高效液相 …

Implementation of near-infrared spectroscopy and convolutional neural networks for predicting particle size distribution in fluidized bed granulation

C Peng, L Zhong, L Gao, L Li, L Nie, A Wu… - International Journal of …, 2024 - Elsevier
Monitoring the particle size distribution (PSD) is crucial for controlling product quality during
fluidized bed granulation. This paper proposed a rapid analytical method that quantifies the …

Non-destructive detection of apple fungal infection based on VIS/NIR transmission spectroscopy

X Jiang, K Ge, B Li, A Ouyang, Y Liu, N Jiang… - Journal of Food …, 2024 - Elsevier
The study is dedicated to developing a precise and efficient detection method specifically for
identifying infections in apples caused by fungi. This type of infection not only damages the …

МЕТОДИКА ОПРЕДЕЛЕНИЯ ЗАСОРЁННОСТИ СЕМЕННОГО МАТЕРИАЛА НА ОСНОВЕ ОБРАБОТКИ ГИПЕРСПЕКТРАЛЬНЫХ ДАННЫХ С ПОМОЩЬЮ …

ГВ Нестеров, АА Золотухина, АВ Гурылева… - … систем земледелия и …, 2023 - elibrary.ru
Засорённость зерна овса (Avena sativa L.) ведет к снижению кормовой ценности и
качества семенного материала. Наиболее распространенные методы оценки …