Whale optimization algorithm-based multi-task convolutional neural network for predicting quality traits of multi-variety pears using near-infrared spectroscopy-Reference-Cited by-同舟云学术

Whale optimization algorithm-based multi-task convolutional neural network for predicting quality traits of multi-variety pears using near-infrared spectroscopy

Published:2024-09 Issue: Volume:215 Page:113018
ISSN:0925-5214
Container-title:Postharvest Biology and Technology
language:en
Short-container-title:Postharvest Biology and Technology

Author:

Shi Qi,Li Yanlei,Zhang Fan,Ma Qianyun,Sun Jianfeng,Liu Yaqiong,Mu Jianlou,Wang Wenxiu,Tang Yiwei

Publisher

Elsevier BV

Reference69 articles.

1. Rapid measurement of apple quality parameters using wavelet de-noising transform with Vis/NIR analysis;Abasi;Sci. Hortic.,2019

2. Optimizing hyperparameters of deep reinforcement learning for autonomous driving based on whale optimization algorithm;Ashraf;PLoS One,2021

3. Attention guided 3D CNN-LSTM model for accurate speech based emotion recognition;Atila;Appl. Acoust.,2021

4. Accurate prediction of soluble solid content of apples from multiple geographical regions by combining deep learning with spectral fingerprint features;Bai;Postharvest Biol. Technol.,2019

5. Measurement of soluble solid contents and pH of white vinegars using VIS/NIR spectroscopy and least squares support vector machine;Bao;Food Bioprocess Technol.,2014

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1. Aggregation and assessment of grape quality parameters with visible-near-infrared spectroscopy: Introducing a novel quantitative index;Postharvest Biology and Technology;2024-12

2. Advanced chemometrics toward robust spectral analysis for fruit quality evaluation;Trends in Food Science & Technology;2024-08