Yuzhen Lu

Orcid: 0000-0002-3636-1137

According to our database1, Yuzhen Lu authored at least 26 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Classification of Urban Surface Elements by Combining Multisource Data and Ontology.
Remote. Sens., January, 2024

Synthetic data augmentation by diffusion probabilistic models to enhance weed recognition.
Comput. Electron. Agric., January, 2024

2023
Integration and preliminary evaluation of a robotic cotton harvester prototype.
Comput. Electron. Agric., August, 2023

YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems.
Comput. Electron. Agric., February, 2023

2022
Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach.
CoRR, 2022

Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review.
CoRR, 2022

Robust plant segmentation of color images based on image contrast optimization.
Comput. Electron. Agric., 2022

Hyperspectral imaging with chemometrics for non-destructive determination of cannabinoids in floral and leaf materials of industrial hemp (<i>Cannabis sativa</i> L.).
Comput. Electron. Agric., 2022

Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review.
Comput. Electron. Agric., 2022

Performance evaluation of deep transfer learning on multi-class identification of common weed species in cotton production systems.
Comput. Electron. Agric., 2022

2021
Hyperspectral Imaging Combined with Machine Learning for the Detection of Fusiform Rust Disease Incidence in Loblolly Pine Seedlings.
Remote. Sens., 2021

Performance Evaluation of Deep Transfer Learning on Multiclass Identification of Common Weed Species in Cotton Production Systems.
CoRR, 2021

2020
A survey of public datasets for computer vision tasks in precision agriculture.
Comput. Electron. Agric., 2020

Enhancing chlorophyll fluorescence imaging under structured illumination with automatic vignetting correction for detection of chilling injury in cucumbers.
Comput. Electron. Agric., 2020

2019
Data-Based Approximate Policy Iteration for Optimal Course-Keeping Control of Marine Surface Vessels.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

2018
Fast Bi-dimensional empirical mode decomposition as an image enhancement technique for fruit defect detection.
Comput. Electron. Agric., 2018

Marine Floating Raft Aquaculture Back Scattering Feature Analysis Based On ISAR Imagery.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2017
Out-of-focus Blur: Image De-blurring.
CoRR, 2017

Simplified gating in long short-term memory (LSTM) recurrent neural networks.
Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

2016
Empirical Evaluation of A New Approach to Simplifying Long Short-term Memory (LSTM).
CoRR, 2016

Food Image Recognition by Using Convolutional Neural Networks (CNNs).
CoRR, 2016

Fast demodulation of pattern images by spiral phase transform in structured-illumination reflectance imaging for detection of bruises in apples.
Comput. Electron. Agric., 2016

2012
Multivariate Isotonic Regression under Tree Semi-order Restrictions and Test in Multivariate Normal Distribution.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2009
A Trust Discovery Model Based on Weighted Closeness.
Proceedings of the 10th International Symposium on Pervasive Systems, 2009

A weighted closeness-based trust combination model.
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, 2009

Security for Resource Allocation Based on Trust and Reputation in Computational Economy Model for Grid.
Proceedings of the Fourth International Conference on Frontier of Computer Science and Technology, 2009


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