logo
科言猫学术研究的AI总结
language
手机端手机端
  • Phone Feature微信小程序
简体中文简体中文
notice消息通知
博客博客
arrow
返回
Y

Yulong Zhou

inner mongolia university of technology

2H指数
25论文数
22被引数
收录论文 6
发表时间
logo
Optimized Reinforcement Learning-Driven Model for Remote Sensing Change Detection优化型强化学习驱动的遥感变化检测模型
errJournal of Imaging
IF3.3
err2026-04-05
err0
errOAAI
errYan Zhao; Zhiyun Xiao; Tengfei Bao; Yulong Zhou
err分享
err收藏
Maize Yield Prediction via Multi-Branch Feature Extraction and Cross-Attention Enhanced Multimodal Data Fusion基于多分支特征提取和交叉注意力增强的多模态数据融合的玉米产量预测
errAgronomy 2025, Vol. 15, Page 2199
IF0
err2025-09-29
err0
errOAAI
errSuning She; Zhiyun Xiao; Yulong Zhou
err分享
err收藏
Combined Hyperspectral Imaging with Wavelet Domain Multivariate Feature Fusion Network for Bioactive Compound Prediction of Astragalus membranaceus var. mongholicus结合小波域多变量特征融合网络的高光谱成像技术用于蒙古黄芪生物活性化合物预测
errAgriculture 2025, Vol. 15, Page 2009
IF3.6
err2025-09-27
err0
errOAAI
errSuning She; Zhiyun Xiao; Yulong Zhou
err分享
err收藏
Safety evaluation, removal characteristics, mechanism exploration, and application potential of Lactococcus lactis GFWM17, a broad-spectrum bacteriostatic strain that simultaneously removes nitrogen and sulfide安全评估、去除特性、机制探究及其应用潜力，Lactococcus lactis GFWM17是一种同时去除氮和硫化物的广谱抑菌菌株
errJOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
IF7.2
err2025-06-01
err0
PREAI
errXi, Zeyan; Li, Teng; Liao, Liwen; Li, Na; Zhou, Yulong
err分享
err收藏
Typical Crop Classification of Agricultural Multispectral Remote Sensing Images by Fusing Multi-Attention Mechanism ResNet Networks
errSENSORS
IF3.5
err2025-04-02
err0
errOAAI
errLi, Zongpu; Xiao, Zhiyun; Zhou, Yulong; Bao, Tengfei
err分享
err收藏
Estimation Network for Multiple Chemical Parameters of Astragalus Leaves Based on Attention Mechanism and Multivariate Hyperspectral Features
errAGRICULTURE-BASEL
IF3.6
err2024-10-22
err0
errOAAI
errZhou, Yulong; Xiao, Zhiyun; Bao, Tengfei; Fang, Tao
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
T
Teng Li
H 指数: 26 · 论文数: 154
T
Tao Fang
H 指数: 19 · 论文数: 181
T
Tengfei Bao
H 指数: 16 · 论文数: 47
N
Na Li
H 指数: 14 · 论文数: 62
Y
Yang Zhao
H 指数: 11 · 论文数: 51
查看更多