- Satellite Communication Systems
- EEG and Brain-Computer Interfaces
- Opportunistic and Delay-Tolerant Networks
- Advanced Measurement and Detection Methods
- IoT and Edge/Fog Computing
- Smart Agriculture and AI
- ECG Monitoring and Analysis
- Traffic Prediction and Management Techniques
- Automated Road and Building Extraction
- Vehicular Ad Hoc Networks (VANETs)
- Simulation and Modeling Applications
- Supply Chain and Inventory Management
- Gaze Tracking and Assistive Technology
- Spectroscopy and Chemometric Analyses
- Sustainable Supply Chain Management
- Non-Invasive Vital Sign Monitoring
- Vehicle License Plate Recognition
- Aerospace Engineering and Energy Systems
- Remote Sensing and Land Use
- Advanced Chemical Sensor Technologies
- Supply Chain Resilience and Risk Management
Jiaxing University
2021-2025
Beijing Jiaotong University
2019
The accuracy of Fresh Tea Sprouts Detection (FTSD) is not high enough, which has become a big bottleneck in the field vision-based automatic tea picking technology. In order to improve detection performance, we rethink process FTSD. Meanwhile, motivated by multispectral image processing, find that more input information can lead better result. With this mind, novel method via Image Enhancement and Fusion Single-Shot Detector (FTSD-IEFSSD) proposed paper. Firstly, obtain an enhanced...
This paper investigates the application of low altitude platform station (LAPS) and device-to-device (D2D) techniques in maritime emergency communications. The hovering LAPS acts as an aerial base to provide telecommunications services, D2D technique is used improve spectrum utilization. To make full use advantages LAPS-and-D2D enabled networks, we formulate a sum rate maximization problem by jointly considering deployment optimization resource management (DORM). formulated constrained...
An automatic ECG classification system is of great significance. Deep learning (DL) methods, e.g. convolutional neural network (CNN), are proved very useful for classification. Due to that DL methods require the input data with fixed length, current work segments beat length. But obviously, length varying changing temporal, personal, or contextual conditions. We solve contradiction by segmenting unfixed and then reshape Based on this, we extract inner-beat, inter- representation. validate...
This paper addresses a retailer-led supply chain in which loss-averse supplier subject to yield uncertainty sells products risk-neutral retailer facing stochastic demand. An option contract is introduced develop collaboration and sharing models improve channel performance achieve coordination. We derive the closed-form solution for optimal production policy, show that viable alternative effectively mitigate serious conflicts between dominant supplier, leads win-win situation. analyse how...