Jiarui Li

ORCID: 0009-0004-7658-912X
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Hydrocarbon exploration and reservoir analysis
  • Thermodynamic and Exergetic Analyses of Power and Cooling Systems
  • Transportation Planning and Optimization
  • Geological and Geophysical Studies
  • Vehicle Routing Optimization Methods
  • Power System Reliability and Maintenance
  • Geological Studies and Exploration
  • Graphene and Nanomaterials Applications
  • Smart Grid and Power Systems
  • Hydraulic Fracturing and Reservoir Analysis
  • Integrated Energy Systems Optimization
  • Traffic Prediction and Management Techniques
  • Advanced Nanomaterials in Catalysis
  • Electricity Theft Detection Techniques
  • Aviation Industry Analysis and Trends
  • Methane Hydrates and Related Phenomena
  • Advanced SAR Imaging Techniques
  • Human-Automation Interaction and Safety
  • 3D Printing in Biomedical Research
  • IoT and GPS-based Vehicle Safety Systems
  • Carbon and Quantum Dots Applications
  • Geothermal Energy Systems and Applications
  • Traffic control and management
  • Advanced Optical Imaging Technologies
  • Nanoparticles: synthesis and applications

China University of Geosciences
2023-2024

Beijing University of Technology
2024

Northwestern Polytechnical University
2024

Shanghai University of Electric Power
2023

Sichuan University
2023

Harbin Engineering University
2023

Wuhan University of Technology
2023

University of Nottingham Ningbo China
2023

Zhejiang University
2022

First Affiliated Hospital Zhejiang University
2022

After more than 20 years of technological advancements, the novel field oil and gas production from source rock strata, which comprise tight shale reservoirs, has become major contributor to increase in unconventional reserves China. Accordingly, this gradually entered a new stage revolutionary development. The China strata will achieve sustainable development future. Different types present distinct challenges require diverse paths. Based on geological conditions China, study focuses...

10.46690/ager.2021.02.02 article EN ADVANCES IN GEO-ENERGY RESEARCH 2021-03-16

More than 30 years of continuous development has made onshore deep and ultra-deep conventional unconventional oil gas become an integral part increasing the energy reserves output by China’s petroleum industry. Based on geological conditions in country, present study finds that paleo stratum burial are two basic characteristics gas. Furthermore, we put forward notion it is necessary to strengthen fundamental research theories four aspects core technology five It suggested special importance...

10.46690/ager.2022.03.09 article EN ADVANCES IN GEO-ENERGY RESEARCH 2022-05-22

With the continued rapid growth of urban areas, problems such as traffic congestion and environmental pollution have become increasingly common. Alleviating these involves addressing signal timing optimization control, which are critical components management. In this paper, a VISSIM simulation-based model is proposed with aim issues. The uses YOLO-X to obtain road information from video surveillance data predicts future flow using long short-term memory (LSTM) model. was optimized snake...

10.3390/s23115157 article EN cc-by Sensors 2023-05-28

When digitizing documents using conventional equipment, shadows often appear, posing significant challenges to the visual quality and readability of digital copies. Given that removal document typically involves complex image processing computational tasks, which require substantial resources time, cost can become prohibitive, limiting practicality efficiency shadow algorithms. This research aims address critical task designing a model capable achieving superior effects. We propose deep...

10.1609/aaai.v39i28.35333 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2025-04-11

Photoluminescent nanomaterials have been widely employed in several biological applications both vitro and vivo. For the first time, we report a novel application of sour apple-derived photoluminescent carbon dots (PCDs) for reducing ultra-high molecular weight polyethylene (UHMWPE) wear particle-induced osteolysis using mouse calvarial model. Generally, aseptic prosthetic loosening seems to be significant postoperative problem artificial joints replacement, which is mainly contributed by...

10.1186/s12951-022-01498-3 article EN cc-by Journal of Nanobiotechnology 2022-06-27

The inconspicuousness of human gait characteristic in radar signal makes it hard to differentiate different identities. In this work, a Dual-stream Siamese Vision Transformer with Mutual Attention is proposed verify whether pair sequences originate from the same person or not. extracts pairwise discriminant spectral information spectrograms and cadence velocity diagrams (CVDs). scheme each stream through self-attention mechanism discovers complement cross two streams cross-attention...

10.1109/icassp49357.2023.10095141 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2023-05-05

According to the data from Bureau of Trans-portation Statistics (BTS), number passengers and flights has been increasing year by year. However, flight delay become a pervasive problem in United States recent years due various factors, including human factors such as security regulations, well natural bad weather. Flight not only affects profits airlines but also satisfaction passengers. Therefore, model that can predict arrival time airplanes needs be developed. Machine learning methods have...

10.1109/ssci52147.2023.10371912 article EN 2021 IEEE Symposium Series on Computational Intelligence (SSCI) 2023-12-05

This paper proposes a multi agent value decomposition network (VDN) based UAV collaborative reconnaissance and control method to address the issue of insufficient strategies for control. By designing corresponding algorithm networks training processes, goal autonomy, collaboration, intelligence among multiple unmanned aerial vehicle systems has been achieved, assisting combat forces in achieving operations decision-making. article uses AirSim as simulation verification environment verify...

10.54963/jic.v4i1.238 article EN cc-by Journal of Intelligent Communication 2024-05-31

10.1109/icus61736.2024.10839805 article EN 2021 IEEE International Conference on Unmanned Systems (ICUS) 2024-10-18

Due to the direct connection consumers, low-voltage distribution networks' outages always result in consumers' power failure. Thus, reducing time of accident handling has great effects on system's reliability. However, network' various phenomenons and causes, needs multiple rounds inspection maintenance. This paper proposes a statistical estimation platform count analyze network outages. Firstly, knowledge graph technology been adopted recognize maintenance sheet classify The most likely...

10.1109/ceepe51765.2021.9475638 article EN 2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE) 2021-04-23

At present, the rush-repair schedule of distribution network becomes an important factor which affects reliability power grid.The four problems that affect process are as follows: 1) Failure to receive complete failure information; 2) Fault diagnosis depending on personal experience; 3) The dispatching is cumbersome; 4) Lack experience summary after rush-repair. above factors fault judgment dispatchers, slowing down command response speed and prolonging progress outage time failure.To solve...

10.1109/ciced50259.2021.9556753 article EN 2022 China International Conference on Electricity Distribution (CICED) 2021-04-07

Carbon emissions from transportation are an important part of urban carbon emissions. Vehicles, as the most active traffic, for refined estimation. Refined estimation can help provide opportunity more specific emission reduction strategies, but existing methods unable to achieve this due lack use multi-source data. In regard, paper proposes a method based on data fusion around vehicles. First, consider latent impact electric vehicles during their operation. Then, improved Data Aggregation...

10.1117/12.3011616 article EN 2023-12-07
Coming Soon ...