A5100347493- Stability and Control of Uncertain Systems
- Wireless Signal Modulation Classification
- Adaptive Control of Nonlinear Systems
- Remote-Sensing Image Classification
- Remote Sensing and Land Use
- Advanced Algorithms and Applications
- Indoor and Outdoor Localization Technologies
- Control and Stability of Dynamical Systems
- Advanced Measurement and Detection Methods
- Industrial Vision Systems and Defect Detection
- Advanced Computational Techniques and Applications
- Advanced Image Fusion Techniques
- Educational Technology and Pedagogy
- Radar Systems and Signal Processing
- Advanced Computing and Algorithms
- Vehicle Routing Optimization Methods
- Advanced Control Systems Optimization
- Semiconductor materials and interfaces
- Video Surveillance and Tracking Methods
- Manufacturing Process and Optimization
- Advanced Manufacturing and Logistics Optimization
- Educational Technology and Assessment
- Online Learning and Analytics
- Network Security and Intrusion Detection
- Advanced Power Amplifier Design
Hubei University of Technology
2017-2025
Shanghai Jiao Tong University
2025
South China Agricultural University
2025
Capital Normal University
2024
Shandong University of Technology
2011-2024
Wuhan Technical College of Communications
2024
Shenyang Jianzhu University
2017-2023
Henan Agricultural University
2023
Shandong Normal University
2022-2023
Jiangnan University
2023
Circularly polarized organic afterglow (CPOA) with both long-lived room-temperature phosphorescence (RTP) and circularly luminescence (CPL) is currently attracting great interest, but the development of multicolor-tunable CPOA in a single-component material remains formidable challenge. Here, we report an efficient strategy to achieve multicolor molecules through chiral clusterization by implanting chirality center into non-conjugated cluster. Owing excitation-dependent emission clusters,...
Automatic modulation classification (AMC) is one of the most essential algorithms to identify types for non-cooperative communication systems. Recently, it has been demonstrated that deep learning (DL)-based AMC method effectively works in single-input single-output (SISO) systems, but DL-based scarcely explored multiple-input multiple-output (MIMO) In this correspondence, we propose a convolutional neural network (CNN)-based cooperative (Co-AMC) MIMO where receiver, equipped with multiple...
Timely and efficient air traffic flow management (ATFM) is a key issue in future dense traffic. The emerging demands for unmanned aerial vehicles general aviation aircraft aggravate the burden of ATFM. Thanks to advanced automatic dependent surveillance-broadcast (ADS-B) technique, can be tracked monitored real-time accurate manner, providing possibility establishing more intelligent ATFM architecture. In this article, we first form an Big Data platform by using distributed ADS-B ground...
The deep convolutional neural network (DeCNN) is considered one of promising techniques for classifying the high-spatial-resolution remote sensing (HSRRS) scenes, due to its powerful feature extraction capabilities. It well-known that huge high-quality labeled datasets are required achieving better classification performances and preventing overfitting, during training DeCNN model process. However, lack limits applications DeCNN. In order solve this problem, in article, we propose a HSRRS...
Automatic modulation classification (AMC) is one of the most critical technologies for non-cooperative communication systems. Recently, deep learning (DL) based AMC (DL-AMC) methods have attracted significant attention due to their preferable performance. However, study DL-AMC are concentrated in single-input and single-output (SISO) systems, while there only a few works on DL-based multiple-input multiple-output (MIMO) Therefore, we propose this work convolutional neural network (CNN)...
As an important branch of the Internet Vehicles (IoV), vehicle positioning has drawn extensive attention. Traditional systems based on a global system incur long delays, and may fail due to obstructions. In this article, we propose auxiliary architecture, whose core is estimate direction arrival (DOA) signals from landmarks, such as wireless access points, utilizing sensor array in vehicle. Due space limitations, be placed arbitrary geometry suffer unknown mutual coupling. Most algorithms...
This paper is concerned with the stability and robust of switched positive linear systems (SPLSs) whose subsystems are all unstable. By means mode-dependent dwell time approach a class discretized co-positive Lyapunov functions, some conditions modes unstable derived in both continuous-time discrete-time cases, respectively. The functions constructed this time-varying during time-invariant afterwards. In addition, above extended to interval systems. A numerical example proposed illustrate...
Memory effects of radio frequency power amplifiers (PAs) can interact with dynamic transmitting signals, operations, and environment, resulting in complicated nonlinear problems the PAs. Recently, deep learning based schemes have been proposed to deal memory effects. Although these are powerful constructing complex structures, they still direct learning-based relatively static. In this paper, we propose an adaptive aided digital predistortion (DL-DPD) model by optimizing a regression neural...
Video services have hold a surprising proportion of the whole network traffic in wireless communication networks. Accurate prediction video can endow networks with intelligence resource management, especially for forthcoming beyond fifth-generation (B5G) However, existing approaches fail to accurately predict all types frames, due natures strong long-range dependence, self-similarity and burstiness. Obviously, it is unable meet QoS QoE requirements dynamic bandwidth allocation. In this...
Non-orthogonal multiple access (NOMA)-enabled heterogeneous networks (N-HetNets) can provide higher system capacity and spectrum efficiency by allowing users cooperating in the same channel. However, traditional resource allocation algorithms are achieved under perfect channel state information (CSI) which is difficult to obtain practical systems. In this paper, we study total energy maximization problem a downlink multicell N-HetNets imperfect CSI, where constraints of quality service...
Early and accurate breast cancer diagnosis is critical in enhancing patient survival rates, with histopathological image analysis serving as a key diagnostic tool. To address challenges histopathology analysis, including multi-magnification characteristics, insufficient feature extraction traditional CNNs, high inter-class similarity coupled significant intra-class variation among tumor subtypes, this work proposes focal cosine-enhanced EfficientNetB0 (FCE-EfficientNetB0) classification...
Four pure hydrocarbons were synthesized and employed as hosts for blue-PhOLEDs. With almost the same bandgap/triplet-energy, their device performances are different.
Remote keyless entry has been widely used on access control systems. These systems, in particular, Passive Keyless Entry and Start systems (PKES), allow drivers automatically unlock their vehicles by standing within one meter of the vehicle while carrying a key fob. Traditional fobs adopt RFID (Radio-Frequency IDentification) wireless communication technology. Yet, due to restricted processing capacity vulnerabilities technology, these are subject relay attack. In this paper, we propose...