Automated detection of mechanical damage in flaxseeds using radiographic imaging and machine learning

M Nadimi, LG Divyanth, J Paliwal - Food and Bioprocess Technology, 2023 - Springer
The growing demand for flaxseed as a source of healthy edible oil mandates the need for
adopting novel strategies for preserving its quantity and quality. Mechanical damage during …

Application of digital-intelligence technology in the processing of Chinese materia medica

W Zhang, C Zhang, L Cao, F Liang, W Xie… - Frontiers in …, 2023 - frontiersin.org
Processing of Chinese Materia Medica (PCMM) is the concentrated embodiment, which is
the core of Chinese unique traditional pharmaceutical technology. The processing includes …

[PDF][PDF] Enhancing the classification accuracy of rice varieties by using convolutional neural networks

N Tran-Thi-Kim, T Pham-Viet, I Koo, V Mariano… - International Journal of …, 2023 - ijeetc.com
The aim of this study is to enhance the classification accuracy of rice varieties that are quite
similar in external observation. In this study, 17 rice grain varieties popularly planted in …

Online double-sided identification and eliminating system of unclosed-glumes rice seed based on machine vision

J Zhang, M Qu, Z Gong, F Cheng - Measurement, 2022 - Elsevier
An online double-sided identification and eliminating system based on machine vision was
developed to identify the unclosed-glumes rice seed by analyzing its double-sided image …

Detecting coal content in gangue via machine vision and genetic algorithm-backpropagation neural network

C Zhang, D Dou, F Sun, Z Huang - Measurement, 2022 - Elsevier
Coal content in gangue is one of the important technical and economic indicators of coal
preparation plants and cannot be detected online at present. A novel approach based on …

Design of quick search method for key feature images in mobile networks

J Zheng, M Woźniak - Mobile Networks and Applications, 2022 - Springer
In order to promote the efficiency of image retrieval in mobile network and realize the fast
query of key images, this paper designs a quick search method of key feature images in …

Medicinal plant species classification using neural network classifier

AP Saikia, PVL Hmangaihzuala, S Datta… - 2021 6th …, 2021 - ieeexplore.ieee.org
There is a growing need for proper classification identification of medicinal plants as they
played a very important role in our life. However, identification of such biological entities are …

A new semi-supervised clustering algorithm for probability density functions and applications

T Nguyen-Trang, Y Nguyen-Hoang… - Neural Computing and …, 2024 - Springer
Semi-supervised clustering has gained significant attention from researchers due to its
advantages over unsupervised clustering. However, existing studies have predominantly …

An efficient robust automatic clustering algorithm for interval data

T Vo-Van, L Ngoc, T Nguyen-Trang - Communications in Statistics …, 2023 - Taylor & Francis
In recent years, clustering analysis for interval data has attracted the attention of many
researchers. Nevertheless, an algorithm that can automatically determine the number of …

[Retracted] Matching Subsequence Music Retrieval in a Software Integration Environment

Z Li, Q Yao, W Ma - Complexity, 2021 - Wiley Online Library
This paper firstly introduces the basic knowledge of music, proposes the detailed design of a
music retrieval system based on the knowledge of music, and analyzes the feature …