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Qingdao Academy of Intelligent Industries | Researchclopedia

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Qingdao Academy of Intelligent Industries

Qingdaofacility

1,442

Works

45,545

Citations

91

h-index

Top Research Topics

Advanced Neural Network Applications Traffic Prediction and Management Techniques Blockchain Technology Applications and Security

Top Researchers

Hong Liu Tianjin University of Technology

2,758 works89,635 citationsh-index: 135

Recent Research

Tracking and Quantifying Fossil Fuel CO2 Emissions by Radiocarbon (14C): A Review

Shanshan Cui,Xiaoyu Yang,et al.

20260 citations

Traffic control and management

Digital Transformation in Industry

Autonomous Vehicle Technology and Safety

Video Surveillance and Tracking Methods

Transportation Planning and Optimization

Auction Theory and Applications

Advanced machining processes and optimization

IoT and Edge/Fog Computing

Additive Manufacturing and 3D Printing Technologies

Jun Zhang Tianjin University

4,439 works86,112 citationsh-index: 124

Li Zhang Harbin University of Science and Technology

2,519 works57,314 citationsh-index: 114

Fei‐Yue Wang Obuda University

1,804 works55,190 citationsh-index: 103

YangQuan Chen University of California, Merced

1,598 works50,069 citationsh-index: 98

Yan Zhang Chongqing University of Posts and Telecommunications

1,468 works46,166 citationsh-index: 106

FreAPNet: Learnable Amplitude–Phase Parameterization and Dual‐Path Frequency Learning for Multivariate Time Series Forecasting

Nannan Xu,Y. Jun Xu,et al.

20260 citations

Study on laser ablation and oxidation removal of SiC /SiC composites in air and water

Tao Wei,Shufeng SUN,et al.

20260 citations

A Multi-Scale Dense Perception and Scale-Adaptive Approach for Blueberry Ripeness Detection

Sc Guo,Ning Yang,et al.

20260 citations

Prediction of the axial capacity of various polygon-type section concrete-filled steel (CFST) columns utilising Deep Neural Network and Machine Learning Regressor

Chen Yue,F. Isleem Haytham

20260 citations

Prediction of the axial capacity of various polygon-type section concrete-filled steel (CFST) columns utilising Deep Neural Network and Machine Learning Regressor

Chen Yue,F. Isleem Haytham

20260 citations