A5107003685- Radar Systems and Signal Processing
- Advanced SAR Imaging Techniques
- Photorefractive and Nonlinear Optics
- Advanced Fiber Laser Technologies
- Solid State Laser Technologies
- Electrocatalysts for Energy Conversion
- Catalytic Processes in Materials Science
- Advanced battery technologies research
- Catalysts for Methane Reforming
- Electrochemical Analysis and Applications
- Electrochemical sensors and biosensors
- Direction-of-Arrival Estimation Techniques
- Mobile Agent-Based Network Management
- Vehicle Routing Optimization Methods
- Wireless Body Area Networks
- Catalysis and Oxidation Reactions
- Transportation Planning and Optimization
- Vehicular Ad Hoc Networks (VANETs)
- Advanced Memory and Neural Computing
- Conducting polymers and applications
- Multicomponent Synthesis of Heterocycles
- Advanced MIMO Systems Optimization
- Carbon dioxide utilization in catalysis
- Traffic Prediction and Management Techniques
- Fuel Cells and Related Materials
Inner Mongolia University
2023-2025
Beijing Forestry University
2025
University of Science and Technology Beijing
2024
Zhejiang University of Technology
2024
Hebei University of Technology
2024
Beijing Jiaotong University
2021-2023
Tsinghua University
2022-2023
Sichuan University
2014-2023
Taiyuan University of Technology
2012-2023
Zhejiang Normal University
2020-2022
Identification of the key factors governing activity and product selectivity CO2 hydrogenation is crucial for developing improved catalysts but still challenging. Herein, CeO2-supported Ni (Ni/CeO2) with different particle sizes were used hydrogenation. The results reveal that catalytic are tightly associated interfacial oxygen vacancies structure supported species, respectively. With increase loading, more surface located at Ni–CeO2 interfaces responsible adsorption activation CO2,...
There are two principle approaches for learning in artificial intelligence: error-driven global and neuroscience-oriented local learning. Integrating them into one network may provide complementary capabilities versatile scenarios. At the same time, neuromorphic computing holds great promise, but still needs plenty of useful algorithms algorithm-hardware co-designs to fully exploit its advantages. Here, we present a global-local synergic model by introducing brain-inspired meta-learning...
Monitoring marine life through underwater object detection technology serves as a primary means of understanding biodiversity and ecosystem health. However, the complex environment, poor resolution, color distortion in optical imaging, limited computational resources all affect accuracy efficiency detection. To solve these problems, YOLOv9s-SD target algorithm is proposed to improve performance environments. We combine inverted residual structure MobileNetV2 with Simple Attention Module...
Glucose is an ideal fuel for cells because it abundant in nature, renewable, non-toxic and easy to produce.
To deal with the lack of prediction and management for vehicular network slice in existing research, this paper designs a machine learning based resource allocation strategy slicing. Firstly, traffic mechanism on Convolutional Long Short-Term Memory (ConvLSTM) is proposed, which will capture spatial-temporal dependencies to predict complex services networks. Secondly, considering imbalance wireless utilization caused by space-time difference between application scenarios, shared proportional...
Fractional vegetation cover (FVC) is a key indicator of plant growth. Unmanned aerial vehicle (UAV) imagery has gained prominence for FVC monitoring due to its high resolution. However, most studies have focused on single phenological stages or specific crop types, with limited research the continuous temporal creeping plants. This study addresses this gap by focusing Thymus mongolicus Ronniger (T. mongolicus). UAV-acquired visible light and multispectral images were collected across stages:...
In this paper, we propose a waveform design based electronic counter-countermeasures (ECCM) scheme against interrupted sampling repeater jamming (ISRJ) for wideband multiple-input multiple-output (MIMO) radar. The ECCM includes two steps: ISRJ parameters estimation and signal suppression. interpretations on time-frequency (TF) domain Doppler are proposed respectively. Based the interpretation, with thumbtack ambiguity function corresponding multiple channels processing structure to obtain...
In this investigation, we systematically explored the intricate relationship between structural attributes of polyvinyl alcohol (PVA) membranes and their multifaceted properties relevant to fuel cell applications, encompassing diverse crosslinking conditions. Employing solution casting technique, fabricated crosslinked PVA by utilizing phosphoric acid (PA) as agent, modulating temperature across a range values. This comprehensive approach aimed optimize selection parameters for advancement...
In this article, a bare glassy carbon electrode (GCE) surface was directly activated by simple in situ chemical method, which characterized scanning electron microscopy (SEM), atomic force (AFM), X-ray photoelectron spectroscopy (XPS) and cyclic voltammetry (CV), differential pulse (DPV) electrochemical impedance (EIS). Based on these results, it found that oxygen-containing functional groups at the modified GCE were enhanced with low damage to state. Hence, exhibited an excellent...
In this paper, we propose a novel precoding algorithm based on an unsupervised learning graph attention network (ULGAT) to improve the performance of sum rate in reconfigurable intelligent surface (RIS) assisted communication systems. Specifically, scheme is used optimise RIS-assisted multi-user downlink systems, which significantly reduces difficulty obtaining samples. Then, (GAT) multi-head employed refine precoding, where underlying topology formed fully utilized by channel matrix and...
In this paper, we investigate the joint design of a transmit beampattern and angular waveform (AW) for colocated multiple-input multiple-output (MIMO) radars. The importance AW in proposed signal processing strategy is first clarified, then, two optimization models are established, which aimed at either power spectral density (PSD) or compatibility similarity AW. There main differences between existing models. First, instead matching desired template maximizing on specific regions, paper...
The diversified service requirements in vehicular networks have stimulated the investigation to develop suitable technologies satisfy demands of vehicles. In this context, network slicing has been considered as one most promising architectural techniques cater various strict requirements. However, unpredictability traffic each slice caused by complex communication environments leads a weak utilization allocated resources. Thus, paper, we use Long Short-Term Memory- (LSTM-) based resource...
In this paper, we consider the joint optimization of transmit waveform and receive filter in colocated multiple-input multiple-output (MIMO) radar to enhance target detection performance presence signal-dependent interference. It is noticed that stage, output energy mainly concentrated mainlobe region. Therefore, decompose as cascade a beamformer temporal filter. Then, under peak-to-average ratio (PAR) constraint, problem formulated realize trade-off between signal-to-interference-plus-noise...