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2025
Unlocking chickpea flour potential: AI-powered prediction for quality assessment and compositional characterisation
Current Research in Food Science
2025
Advances in Food and Nutrition Research
2025
High-precision detection of dibutyl hydroxytoluene in edible oil via convolutional autoencoder compressed Fourier-transform near-infrared spectroscopy
Food Control
2025
Corn Seed Quality Detection Based on Spectroscopy and Its Imaging Technology: A Review
Agriculture
2025
Characteristic wavelength selection based on multi-strategy fusion zebra optimization algorithm for PLSR
Measurement
2025
The Application of Near-Infrared Spectroscopy Combined with Chemometrics in the Determination of the Nutrient Composition in Chinese Cyperus esculentus L.
Foods
2025
Out-of-Roundness Wheel Damage Identification in Railway Vehicles Using AutoEncoder Models
Applied Sciences
2025
Deep learning-based regression of food quality attributes using near-infrared spectroscopy and hyperspectral imaging: A review
Food Chemistry
2025
A general deep learning model for predicting and classifying pea protein content via visible and near-infrared spectroscopy
Food Chemistry
2024
Advancing near-infrared spectroscopy: A synergistic approach through Bayesian optimization and model stacking
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
2024
A detection method of oil content for maize kernels based on CARS feature selection and deep sparse autoencoder feature extraction
Industrial Crops and Products
2024
A novel variable selection algorithm based on neural network for near-infrared spectral modeling
Analytica Chimica Acta
2024
Optimizing feature selection with gradient boosting machines in PLS regression for predicting moisture and protein in multi-country corn kernels via NIR spectroscopy
Food Chemistry
2024
Using deep learning to accurately detect sow vulva size in a group pen with a single camera
Journal of Animal Science
2023
Exploring the Steps of Infrared (IR) Spectral Analysis: Pre-Processing, (Classical) Data Modelling, and Deep Learning
Molecules
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