Work

AGSTA-Net: Predicting Commercial Vehicle Fuel Consumption Using Adaptive Graph Spatiotemporal Attention Network

Year: 2024

Type: conference-paper

Source: International Conference on Algorithms, Data Mining, and Information Technology (ADMIT)

DOI: 10.1145/3701100.3701150

Authors: Zheng Zhao, Bin Wang, Nannan Xue

Language: English

Topic: Vehicle emissions and performance

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Climate action, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4406901018

FWCI:

Cites: 5

Cited by:

Related to: 10