Gensheng Hu

Orcid: 0000-0002-0181-0748

According to our database1, Gensheng Hu authored at least 24 papers between 2004 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Detection of Tea Leaf Blight in Low-Resolution UAV Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Enhancing model performance in detecting lodging areas in wheat fields using UAV RGB Imagery: Considering spatial and temporal variations.
Comput. Electron. Agric., November, 2023

UAV remote sensing detection of tea leaf blight based on DDMA-YOLO.
Comput. Electron. Agric., February, 2023

A quantum-based building block for designing a nanoscale full adder circuit with power analysis.
Integr., 2023

A Counting Algorithm for Adhesion of Wheat Scab Spore Based on Contour Angle-to-distance Ratio.
Proceedings of the 11th International Conference on Agro-Geoinformatics, 2023

2022
Identification of maize leaf diseases by using the SKPSNet-50 convolutional neural network model.
Sustain. Comput. Informatics Syst., 2022

Using a multi-convolutional neural network to automatically identify small-sample tea leaf diseases.
Sustain. Comput. Informatics Syst., 2022

Detection and classification of diseased pine trees with different levels of severity from UAV remote sensing images.
Ecol. Informatics, 2022

Lightweight dense-scale network (LDSNet) for corn leaf disease identification.
Comput. Electron. Agric., 2022

Identification Method for Rice Pests with Small Sample Size Problems Combining Deep Learning and Metric Learning.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

2021
Identification of wheat leaf diseases and their severity based on elliptical-maximum margin criterion metric learning.
Sustain. Comput. Informatics Syst., 2021

Detection of Abnormal Vibration Dampers on Transmission Lines in UAV Remote Sensing Images with PMA-YOLO.
Remote. Sens., 2021

Detection and severity analysis of tea leaf blight based on deep learning.
Comput. Electr. Eng., 2021

Lightweight convolutional neural network model for field wheat ear disease identification.
Comput. Electron. Agric., 2021

Semantic segmentation of tea geometrid in natural scene images using discriminative pyramid network.
Appl. Soft Comput., 2021

2020
MMFS: A grape disease recognition method based on multi-feature fusion and SVM.
Proceedings of the ICCBDC '20: 2020 4th International Conference on Cloud and Big Data Computing, 2020

2019
Identification of tea leaf diseases by using an improved deep convolutional neural network.
Sustain. Comput. Informatics Syst., 2019

A low shot learning method for tea leaf's disease identification.
Comput. Electron. Agric., 2019

2017
Recognition of Group Activities Based on M-DTCWT and Elliptic Mahalanobis Metrics.
Proceedings of the Advances in Image and Graphics Technologies - 12th Chinese conference, 2017

The spectral matching algorithm based on hyperbolic mahalanobis metric.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2010
Thin Cloud Removing Approach of Color Remote Sensing Image Based on Support Vector Machine.
Proceedings of the 2010 Asia-Pacific Conference on Wearable Computing Systems, 2010

2008
Multi-output Support Vector Machine Regression and Its Online Learning.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2004
Application of Support Vector Machine in Queuing System.
Proceedings of the Advances in Neural Networks, 2004

The analysis of queuing system based on support vector machine.
Proceedings of the 8th International Conference on Control, 2004


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