Dry bean cultivars classification using deep cnn features and salp swarm algorithm based extreme learning machine

M Dogan, YS Taspinar, I Cinar, R Kursun… - … and Electronics in …, 2023 - Elsevier
Since dry bean varieties have different qualities and economic values, their separation is of
great importance in the field of agriculture. In recent years, the use of artificial intelligence …

RDE-YOLOv7: an improved model based on YOLOv7 for better performance in detecting dragon fruits

J Zhou, Y Zhang, J Wang - Agronomy, 2023 - mdpi.com
There is a great demand for dragon fruit in China and Southeast Asia. Manual picking of
dragon fruit requires a lot of labor. It is imperative to study the dragon fruit-picking robot. The …

3D face recognition based on an attention mechanism and sparse loss function

H Zou, X Sun - Electronics, 2021 - mdpi.com
Face recognition is one of the essential applications in computer vision, while current face
recognition technology is mainly based on 2D images without depth information, which are …

[HTML][HTML] A Candy Defect Detection Method Based on StyleGAN2 and Improved YOLOv7 for Imbalanced Data

X Li, S Xue, Z Li, X Fang, T Zhu, C Ni - Foods, 2024 - pmc.ncbi.nlm.nih.gov
Quality management in the candy industry is a vital part of food quality management.
Defective candies significantly affect subsequent packaging and consumption, impacting the …

An automatic segmentation algorithm for conglutinated bone fragments in 3D CT images of lower limb fractures based on morphology

G Miao, X Zheng, Y Han, J Bi, M Gao… - Multimedia Tools and …, 2024 - Springer
The commonly used automatic segmentation algorithms often have over-segmentation and
error-segmentation problems when segmenting conglutinated bone fragments in computed …

Candy classification using convolutional neural networks, data augmentation and transfer learning: Application and a new public dataset

EJ Villegas-Jaramillo… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
Quality control is an important task in confectionery because industrially produced candies
are prone to suffer from a number of defects, such as cracks, crazing, unacceptable sizes …

[HTML][HTML] Hard Candy Production and Quality Parameters: A review

B Ozel, S Kuzu, MA Marangoz… - Open …, 2024 - open-research-europe.ec.europa.eu
Hard candies are sugar confections comprising mainly water and sucrose. Corn syrup,
colorants and flavors are also usually added to hard candy formulations. The production of …

Examination of bottle caps guided with image processing and deep neural networks

M Nandhini, MM Rabik, Y Suresh - AIP Conference Proceedings, 2023 - pubs.aip.org
In recent times, several fields that exist in engineering have been heavily dominated through
the integration of artificial intelligence, however machine vision systems are simultaneously …

Research on the Digital Prediction Model of Cigarette Filament Feeding Process Based on BP Neural Network

Y Tang, Z Jin, L Xi, Q Zhang, M Guo… - Proceedings of the 2024 …, 2024 - dl.acm.org
In order to further achieve the moisture content at the outlet of the feeding process and
stabilize the moisture content after cutting, and improve the production line process level …

English Word Recognition System Based on BP Neural Network

S Mu - … on Cognitive based Information Processing and …, 2023 - Springer
In order to solve the problem that English word recognition rate is not high in the process of
globalization, an English word recognition system based on BP neural network is proposed …