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 …

Intensity inhomogeneity correction in brain MRI: a systematic review of techniques, current trends and future challenges

PK Mishro, S Agrawal, R Panda, L Dora… - Neural Computing and …, 2024 - Springer
Intensity inhomogeneity, a common artefact in brain magnetic resonance imaging, poses
challenges in medical image analysis. Intensity inhomogeneity, also known as bias field …

Maize seed fraud detection based on hyperspectral imaging and one-class learning

L Zhang, Y Wei, J Liu, D An, J Wu - Engineering Applications of Artificial …, 2024 - Elsevier
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 …

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 …

[HTML][HTML] An unsupervised end-to-end approach to fault detection in delta 3D printers using deep support vector data description

L Zhang, J Lin, H Shao, Z Yang, B Liu, C Li - Journal of manufacturing …, 2024 - Elsevier
Fault detection in 3D printers is crucial for safety and quality assurance, emphasizing
proactive prediction over reactive rectification based on manufacturing factors. Presently …

Exploring Transfer Learning for Enhanced Seed Classification: Pre-trained Xception Model

Y Gulzar, Z Ünal, S Ayoub, FA Reegu - International Congress on …, 2023 - Springer
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 …

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 …

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 …

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 …