A5023360330- Electrocatalysts for Energy Conversion
- Advanced battery technologies research
- Fuel Cells and Related Materials
- Sparse and Compressive Sensing Techniques
- Supercapacitor Materials and Fabrication
- Advanced Computational Techniques and Applications
- Smart Agriculture and AI
- Nanomaterials for catalytic reactions
- Concrete Corrosion and Durability
- Complex Network Analysis Techniques
- Environmental remediation with nanomaterials
- Image and Signal Denoising Methods
- Corrosion Behavior and Inhibition
- Metamaterials and Metasurfaces Applications
- Advanced Wireless Communication Technologies
- Underwater Acoustics Research
- Advanced Photocatalysis Techniques
- Advanced Image Processing Techniques
- Advanced Text Analysis Techniques
- Energy Harvesting in Wireless Networks
- Advanced Antenna and Metasurface Technologies
- Natural Language Processing Techniques
- Rough Sets and Fuzzy Logic
- Indoor and Outdoor Localization Technologies
- Electrochemical Analysis and Applications
Hunan University
2024
Nanjing University
2020-2023
Agricultural Information Institute
2022
Chinese Academy of Agricultural Sciences
2022
East China Normal University
2018-2020
Beijing Institute of Technology
2013-2014
Detecting and eliminating sprouted potatoes is a basic measure before potato storage, which can effectively improve the quality of storage reduce economic losses due to spoilage decay. In this paper, we propose an improved YOLOV5-based detection model for detecting grading in complex scenarios. By replacing Conv with CrossConv C3 module, feature similarity loss problem fusion process improved, representation enhanced. SPP using fast spatial pyramid pooling parameters speed up fusion. The...
Well-dispersed carbon-coated or nitrogen-doped copper-iron alloy nanoparticles (FeCu@C FeCu@C-N) in carbon-based supports are obtained using a bimetallic metal-organic framework (Cu/Fe-MOF-74) mixture of Cu/Fe-MOF-74 and melamine as sacrificial templates an active-component precursor by pyrolysis method. The investigation results attest formation Cu-Fe nanoparticles. FeCu@C catalyst exhibits catalytic activity with half-wave potential 0.83 V for oxygen reduction reaction (ORR) alkaline...
A facile hydrothermal-pyrolysis strategy is proposed to prepare the coupled Co<sub>5.47</sub>N–Co<sub>3</sub>Fe<sub>7</sub>/N-Cs nanocomposite as highly efficient multifunctional electrocatalyst.
A novel hydrothermal–pyrolysis strategy is proposed to synthesize high-efficiency NiCo@N–C bi-functional electrocatalysts for oxygen transformation.
The inhibition performance of 10 imidazoline molecules with number carbon from 15 to 21 hydrocarbon straight-chain was studied by weight-loss method and theoretical approaches. main purpose build a quantitative structure–activity relationship (QSAR) between the structural properties efficiencies, then predict efficiencies new corrosion inhibitors. quantum chemical calculation suggested that active region located on ring hydrophilic group, sites were concentrated nitrogen atoms group. A model...
Abstract A porous carbon material that was co‐doped with copper and phosphorus (Cu−P−C) synthesized by the direct thermal conversion of [(Ph 3 P) 2 CuCl ] in channels an SBA‐15 template found to be impressive Cu‐based electrocatalyst. The prefabricated Cu−P x moieties starting were retained during preparation process catalyst. These active sites effectively catalyzed oxygen‐reduction reaction (ORR). Moreover, hierarchically morphology Cu−P−C material, which demonstrated a large specific...
As a powerful statistical image modeling technique, sparse representation has been successfully applied in various restoration applications. Most traditional methods depend on ℓ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> -norm optimization and patch-based models. However, these have two limits: high computational complexity the lack of relationship among patches. To solve above problems, we choose group-based models to simplify...
In this article, we consider a cloud-radio access network (C-RAN) with multiple enhanced remote radio heads (RRHs), which support for wireless charging, computation offloading and information transmission. The employment of RRHs requires redesign efficient resource allocation. Our goal is to minimize the weighted sum energy transfer time by jointly optimizing transmission time, beamforming vectors, factors, combining while satisfying communication performance requirements terminal nodes....
Semantic chunk is able to well describe the sentence semantic framework. It plays a very important role in Natural Language Processing applications, such as machine translation, QA system and so on. At present, Tibetan researches are mainly based on rule-methods. In this paper, according distinctive language characteristics of Tibetan, we firstly put forward descriptive definition its labeling scheme then propose feature selection algorithm select suitable ones automatically from candidate...
The number of people who obtain information and express ideas via the Internet is increasing rapidly. Research on identifying how much attention paid to a given online topic plays an important role in field public opinion management. We propose method predict netizens' specific this paper. Firstly, we acquire historical topics' attention-degrees by analyzing news, reviews forum posts, then built up Feature Words Set (FWS) estimate popularity each feature word. After that, extract words from...
Traditional forward prediction of coding metasurface is highly time-consuming due to repetitive numerical calculations. In this paper, an advanced pole-residue-based neuro-transfer function (neuro-TF) technique proposed for parametric modeling and predicting electromagnetic (EM) response with respect the changes in values representing geometry metasurface. model, neural networks are trained learn mapping between poles residues pole-residue transfer functions metasurfaces, objective based on...