Recent advance of intelligent packaging aided by artificial intelligence for monitoring food freshness

X Li, D Liu, Y Pu, Y Zhong - Foods, 2023 - mdpi.com
Food safety is a pressing concern for human society, as it directly impacts people's lives,
while food freshness serves as one of the most crucial indicators in ensuring food safety …

Improved classification approach for fruits and vegetables freshness based on deep learning

M Mukhiddinov, A Muminov, J Cho - Sensors, 2022 - mdpi.com
Classification of fruit and vegetable freshness plays an essential role in the food industry.
Freshness is a fundamental measure of fruit and vegetable quality that directly affects the …

Implementation of deep learning methods to identify rotten fruits

S Chakraborty, FMJM Shamrat… - … conference on trends …, 2021 - ieeexplore.ieee.org
Mostly in the agriculture sector, identifying rotten fruits has been critical. The classification of
fresh and rotting fruits is typically carried out by humans, which is ineffective for fruit growers …

Image processing identification for sapodilla using convolution neural network (CNN) and transfer learning techniques

A Khazalah, B Prasanthi, D Thomas, N Vello… - … applications with deep …, 2022 - Springer
Image identification is a useful tool for classifying and organizing fruits in agribusiness. This
study aims to use deep learning to construct a design for Sapodilla identification and …

Automatic recognition of traffic signs based on visual inspection

S He, L Chen, S Zhang, Z Guo, P Sun, H Liu… - IEEE Access, 2021 - ieeexplore.ieee.org
The automatic recognition of traffic signs is essential to autonomous driving, assisted driving,
and driving safety. Currently, convolutional neural network (CNN) is the most popular deep …

[HTML][HTML] A deep CNN approach to detect and classify local fruits through a web interface

MM Rahman, MA Basar, TS Shinti, MSI Khan… - Smart Agricultural …, 2023 - Elsevier
An automated fruit identification system may be used in the supermarket to help consumers
determine the type and standard of fruits. Automatic fruit categorization and recognition is …

Predicting gas diffusion layer flow information in proton exchange membrane fuel cells from cross-sectional data using deep learning methods

Y Yu, S Chen, Y Wu - Energy, 2023 - Elsevier
Obtaining transient flow field information of gas diffusion layers (GDLs) is a crucial issue for
improving the performance of proton exchange membrane fuel cells (PEMFCs). While …

Accelerating computer vision-based human identification through the integration of deep learning-based age estimation from 2 to 89 years

A Heinrich - Scientific Reports, 2024 - nature.com
Computer Vision (CV)-based human identification using orthopantomograms (OPGs) has
the potential to identify unknown deceased individuals by comparing postmortem OPGs with …

Towards trustworthy myopia detection: integration methodology of deep learning approach, XAI visualization, and user interface system

WE Noori, AS Albahri - Applied Data Science and Analysis, 2023 - mesopotamian.press
Myopia, a prevalent vision disorder with potential complications if untreated, requires early
and accurate detection for effective treatment. However, traditional diagnostic methods often …

[PDF][PDF] Classification of fruits using convolutional neural network and transfer learning models

R Pathak, H Makwana - Journal of Management Information and …, 2021 - researchgate.net
Automated categorization of freshness of fruits plays pivotal role in the agricultural industry.
In conventional method, the grading of fruit is assessed by human being. This method is …