activity
20202023
most citedCrop and weed classification based on AutoML

5 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

physics.bio-ph2023

The coupling effect between the environment and strategies drives the emergence of group cooperation

Changyan Di, Qingguo Zhou, Jun Shen +3

Introducing environmental feedback into evolutionary game theory has led to the development of eco-evolutionary games, which have gained popularity due to their ability to capture…

cs.LG2023★ 1 cited

A novel automatic wind power prediction framework based on multi-time scale and temporal attention mechanisms

Meiyu Jiang, Jun Shen, Xuetao Jiang +3

Wind energy is a widely distributed, renewable, and environmentally friendly energy source that plays a crucial role in mitigating global warming and addressing energy shortages. N…

cs.LG2023★ 3 cited

Day-Ahead PV Power Forecasting Based on MSTL-TFT

Xuetao Jiang, Meiyu Jiang, Qingguo Zhou

In recent years, renewable energy resources have accounted for an increasing share of electricity energy.Among them, photovoltaic (PV) power generation has received broad attention…

cs.LG2022

Forestry digital twin with machine learning in Landsat 7 data

Xuetao Jiang, Meiyu Jiang, YuChun Gou +2

Modeling forests using historical data allows for more accurately evolution analysis, thus providing an important basis for other studies. As a recognized and effective tool, remot…

cs.CV2021

Boundary Distribution Estimation for Precise Object Detection

Peng Zhi, Haoran Zhou, Hang Huang +3

In the field of state-of-the-art object detection, the task of object localization is typically accomplished through a dedicated subnet that emphasizes bounding box regression. Thi…

cs.AI2020★ 5 cited

Crop and weed classification based on AutoML

Xuetao Jiang, Binbin Yong, Soheila Garshasbi +3

CNN models already play an important role in classification of crop and weed with high accuracy, more than 95% as reported in literature. However, to manually choose and fine-tune…