A5059043241- Fuel Cells and Related Materials
- Electrocatalysts for Energy Conversion
- Advanced battery technologies research
- Advancements in Solid Oxide Fuel Cells
- Advanced Battery Technologies Research
- Membrane-based Ion Separation Techniques
- Heat Transfer and Optimization
- Adsorption and Cooling Systems
- Hybrid Renewable Energy Systems
- Heat Transfer and Boiling Studies
- Advanced Neural Network Applications
- Refrigeration and Air Conditioning Technologies
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Domain Adaptation and Few-Shot Learning
- Electric and Hybrid Vehicle Technologies
- Chemical Looping and Thermochemical Processes
- Hydrogen Storage and Materials
- Solar-Powered Water Purification Methods
- Advanced Battery Materials and Technologies
- Integrated Energy Systems Optimization
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Catalysis and Oxidation Reactions
- Autonomous Vehicle Technology and Safety
- Forensic and Genetic Research
Huazhong University of Science and Technology
2012-2025
Ministry of Public Security of the People's Republic of China
2004-2024
Institute of Forensic Science
2014-2024
Wenzhou Medical University
2023
Zhejiang University
2019-2022
Nanchang University
2021
Nanyang Technological University
2016-2019
Zhejiang University of Science and Technology
2018
Wuhan University of Technology
2010-2017
Cell Technology (China)
2010-2011
Exploring efficient and earth-abundant electrocatalysts for water splitting is crucial various renewable energy technologies. In this work, iron (Fe)-doped nickel phosphide (Ni2P) nanosheet arrays supported on foam (Ni1.85Fe0.15P NSAs/NF) are fabricated through a facile hydrothermal method, followed by phosphorization. The electrochemical analysis demonstrates that the Ni1.85Fe0.15P NSAs/NF electrode possesses high electrocatalytic activity splitting. 1.0 M KOH, only needs overpotentials of...
Lane detection is one of the most important tasks in self-driving. Due to various complex scenarios (e.g., severe occlusion, ambiguous lanes, etc.) and sparse supervisory signals inherent lane annotations, task still challenging. Thus, it difficult for ordinary convolutional neural network (CNN) train general scenes catch subtle feature from raw image. In this paper, we present a novel module named REcurrent Feature-Shift Aggregator (RESA) enrich after preliminary extraction with an CNN....
Lane is critical in the vision navigation system of intelligent vehicle. Naturally, lane a traffic sign with high-level semantics, whereas it owns specific local pattern which needs detailed low-level features to localize accurately. Using different feature levels great importance for accurate detection, but still under-explored. In this work, we present Cross Layer Refinement Network (CLRNet) aiming at fully utilizing both and detection. particular, first detects lanes semantic then...
Due to its zero emissions, high efficiency and low noise, proton exchange membrane fuel cell (PEMFC) is full of potential for the application vehicle power source. Nonetheless, lifespan durability remain multiple obstacles be solved before widespread commercialization. Frequent exposure non-rated operating conditions could considerably accelerate degradation PEMFC in various forms, thus reducing durability. This paper first analyses mechanisms PEMFCs under typical automotive conditions,...
WP NPs@NC exhibits remarkable hydrogen evolution reaction catalytic activity and durability over the entire pH range.