Application of deep learning for high-throughput phenotyping of seed: a review
C Jin, L Zhou, Y Pu, C Zhang, H Qi, Y Zhao - Artificial Intelligence Review, 2025 - Springer
Seed quality is of great importance for agricultural cultivation. High-throughput phenotyping
techniques can collect magnificent seed information in a rapid and non-destructive manner …
techniques can collect magnificent seed information in a rapid and non-destructive manner …
Intensity inhomogeneity correction in brain MRI: a systematic review of techniques, current trends and future challenges
Intensity inhomogeneity, a common artefact in brain magnetic resonance imaging, poses
challenges in medical image analysis. Intensity inhomogeneity, also known as bias field …
challenges in medical image analysis. Intensity inhomogeneity, also known as bias field …
Maize seed fraud detection based on hyperspectral imaging and one-class learning
Premium maize varieties are the focus of attention of farmers, breeders, food manufacturers,
and people in other industries. Maize seed fraud causes huge financial losses to these …
and people in other industries. Maize seed fraud causes huge financial losses to these …
Deep one-class classification model assisted by radius constraint for anomaly detection of industrial control systems
X Deng, J Li - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Anomaly detection of industrial control systems (ICS) based on sensor data analytic is of
utmost importance because ICS may suffer from various attacks leading to anomaly …
utmost importance because ICS may suffer from various attacks leading to anomaly …
[HTML][HTML] An unsupervised end-to-end approach to fault detection in delta 3D printers using deep support vector data description
Fault detection in 3D printers is crucial for safety and quality assurance, emphasizing
proactive prediction over reactive rectification based on manufacturing factors. Presently …
proactive prediction over reactive rectification based on manufacturing factors. Presently …
Exploring Transfer Learning for Enhanced Seed Classification: Pre-trained Xception Model
Seed classification plays a crucial role in various agricultural and industrial applications,
such as crop breeding, seed quality assessment, and plant disease identification. This study …
such as crop breeding, seed quality assessment, and plant disease identification. This study …
Fusion of hyperspectral imaging and electronic nose for identification of green vegetable in egg pancakes
P Gao, J Liang, W Li, Y Shi, X Huang, X Zhang… - Microchemical …, 2024 - Elsevier
Egg pancake (EP) is commonly consumed breakfast in Chinese cuisine, and the
identification of its type holds significance for applications such as intelligent food production …
identification of its type holds significance for applications such as intelligent food production …
A method for constructing optical detection model of wheat seed purity based on sample generation and contrastive learning strategy
S Yan, X Zhao, Q Zhu, M Huang, X Guo - Journal of Food Composition and …, 2025 - Elsevier
Seed purity is an essential indicator of seed quality, and use of optical techniques for seed
purity testing has been extensively reported. Currently, most optical detection models for …
purity testing has been extensively reported. Currently, most optical detection models for …
Research on online anomaly detection methods for bearing degradation
S Jin, H Xu, Z Lu, A Yan, Y Zhao… - … Science and Technology, 2024 - iopscience.iop.org
In industrial applications, rolling bearings operate under conditions of high precision and
high speed, and their physical and mechanical characteristics change with the increase in …
high speed, and their physical and mechanical characteristics change with the increase in …