Lingyi Han
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View article: A surface water resource asset accounting method based on multi-source remote sensing data
A surface water resource asset accounting method based on multi-source remote sensing data Open
Water resource asset (WRA) accounting holds great importance in ecological civilization construction. Existing WRA accounting methods heavily rely on statistical data, resulting in issues such as missing and inaccessible data. Moreover, th…
View article: Semantic Segmentation Model for Wide-Area Coseismic Landslide Extraction Based on Embedded Multichannel Spectral–Topographic Feature Fusion: A Case Study of the Jiuzhaigou Ms7.0 Earthquake in Sichuan, China
Semantic Segmentation Model for Wide-Area Coseismic Landslide Extraction Based on Embedded Multichannel Spectral–Topographic Feature Fusion: A Case Study of the Jiuzhaigou Ms7.0 Earthquake in Sichuan, China Open
The rapid and accurate extraction of wide-area coseismic landslide locations is critical in earthquake emergencies. At present, the extraction of coseismic landslides is mainly based on post-earthquake site investigation or the interpretat…
View article: Masked Token Enabled Pre-training: A Task-Agnostic Approach for Understanding Complex Traffic Flow
Masked Token Enabled Pre-training: A Task-Agnostic Approach for Understanding Complex Traffic Flow Open
The conventional deep learning model performs well for traffic flow analysis by training with a large number of labeled data using a one-model-for-one-task approach, leading to huge computational complexity in dynamic intelligent transport…
View article: Masked Token Enabled Pre-training: A Task-Agnostic Approach for Understanding Complex Traffic Flow
Masked Token Enabled Pre-training: A Task-Agnostic Approach for Understanding Complex Traffic Flow Open
The conventional deep learning model performs well for traffic flow analysis by training with a large number of labeled data using a one-model-for-one-task approach, leading to huge computational complexity in dynamic intelligent transport…
View article: Short-term Road Traffic Prediction based on Deep Cluster at Large-scale Networks
Short-term Road Traffic Prediction based on Deep Cluster at Large-scale Networks Open
Short-term road traffic prediction (STTP) is one of the most important modules in Intelligent Transportation Systems (ITS). However, network-level STTP still remains challenging due to the difficulties both in modeling the diverse traffic …
View article: Enhanced Deep Networks for Short-Term and Medium-Term Load Forecasting
Enhanced Deep Networks for Short-Term and Medium-Term Load Forecasting Open
Electric load forecasting (ELF) is vitally beneficial for electrical power planning and economical running in smart grid. However, the medium-term load forecasting has been rarely studied. In addition, existing ELF models mainly consider t…
View article: An Off-Grid Turbo Channel Estimation Algorithm for Millimeter Wave Communications
An Off-Grid Turbo Channel Estimation Algorithm for Millimeter Wave Communications Open
The bandwidth shortage has motivated the exploration of the millimeter wave (mmWave) frequency spectrum for future communication networks. To compensate for the severe propagation attenuation in the mmWave band, massive antenna arrays can …