Parrot optimizer: Algorithm and applications to medical problems

J Lian, G Hui, L Ma, T Zhu, X Wu, AA Heidari… - Computers in Biology …, 2024 - Elsevier
Stochastic optimization methods have gained significant prominence as effective techniques
in contemporary research, addressing complex optimization challenges efficiently. This …

Technological innovations for reducing tomato loss in the agri-food industry

I Domínguez, JL del Río, V Ortiz-Somovilla… - Food Research …, 2025 - Elsevier
Food loss and waste has a detrimental impact on the economy, food security and the
environment, especially at a time when more than 700 million people around the world …

Tomato ripeness and shelf-life prediction system using machine learning

K Goyal, P Kumar, K Verma - Journal of Food Measurement and …, 2024 - Springer
This study proposes an ensemble approach to develop a tomato ripeness and shelf life
prediction system based on defects and color intensity. The dataset has been created by …

[HTML][HTML] Overview of Deep Learning and Nondestructive Detection Technology for Quality Assessment of Tomatoes

Y Huang, Z Li, Z Bian, H **, G Zheng, D Hu, Y Sun… - Foods, 2025 - pmc.ncbi.nlm.nih.gov
Tomato, as the vegetable queen, is cultivated worldwide due to its rich nutrient content and
unique flavor. Nondestructive technology provides efficient and noninvasive solutions for the …

Rapid mold detection in chinese herbal medicine using enhanced deep learning technology

T Zhu, X Wu, L Ma, Y Zeng, J Lian, J Liu… - Journal of Medicinal …, 2024 - liebertpub.com
Mold contamination poses a significant challenge in the processing and storage of Chinese
herbal medicines (CHM), leading to quality degradation and reduced efficacy. To address …

Prediction Model of Coal Gas Permeability Based on Improved DBO Optimized BP Neural Network

W Wang, X Cui, Y Qi, K Xue, R Liang, C Bai - Sensors, 2024 - mdpi.com
Accurate measurement of coal gas permeability helps prevent coal gas safety accidents
effectively. To predict permeability more accurately, we propose the IDBO-BPNN coal body …

A multi-strategy-guided sparrow search algorithm to solve numerical optimization and predict the remaining useful life of li-ion batteries

J Xue, B Shen, A Pan - The Journal of Supercomputing, 2024 - Springer
In this paper, a novel optimization method is proposed based on the sparrow search
algorithm, namely, multi-strategy-guided sparrow search algorithm (MGSSA). It is well …

An E-nose system for identification and quantification of hazardous gas mixtures using a combined strategy of CNNs and attentional mechanisms

Y Yang, X Wang, L Zhao, Z Li, Y Sun - Physica Scripta, 2024 - iopscience.iop.org
The chemical industry generates a broad spectrum of hazardous gases, presenting
significant challenges for conventional detection methods due to their diverse chemical …

Enhanced attention-driven hybrid deep learning with harris hawks optimizer for apple mechanical damage detection

L Ma, X Wu, T Zhu, Y Huang, X Chen, J Ning… - Journal of Food …, 2024 - Springer
This study addresses the challenges of high costs and lengthy detection times associated
with non-destructive testing of mechanical damage in apples. A novel approach combining …

[HTML][HTML] Identification of Cherry Tomato Volatiles Using Different Electron Ionization Energy Levels

D Radványi, L Csambalik, D Szakál, A Gere - Molecules, 2024 - mdpi.com
A comprehensive analysis of the volatile components of 11 different cherry tomato pastes
(Tesco Extra, Orange, Zebra, Yellow, Round Netherland, Mini San Marzano, Spar truss …