User profiles for Shihong Duan
Shihong DuanUniversity of Science and Technology Beijing Verified email at ustb.edu.cn Cited by 974 |
InnoHAR: A deep neural network for complex human activity recognition
Human activity recognition (HAR) based on sensor networks is an important research direction
in the fields of pervasive computing and body area network. Existing researches often …
in the fields of pervasive computing and body area network. Existing researches often …
WiDriver: Driver activity recognition system based on WiFi CSI
Driver is the most active factor in people–vehicle–road system, so the driver activity monitoring
has become increasingly important to support the driver assistant system application. The …
has become increasingly important to support the driver assistant system application. The …
[HTML][HTML] Identification and molecular docking of novel α-glucosidase inhibitory peptides from hydrolysates of Binglangjiang buffalo casein
Q Zhao, G Wei, K Li, S Duan, R Ye, A Huang - Lwt, 2022 - Elsevier
Binglangjiang buffalo is a new type of river buffalo discovered in Tengchong of Yunnan
Province, China, with rich protein in milk. In this study, we isolated novel α-glucosidase inhibitory …
Province, China, with rich protein in milk. In this study, we isolated novel α-glucosidase inhibitory …
Spatial-temporal constrained particle filter for cooperative target tracking
Localization is one of the most important topics of cyber physical system. In the last decades,
much attention has been paid to the precise localization and performance evaluation in …
much attention has been paid to the precise localization and performance evaluation in …
Cooperative localization for multi-agents based on reinforcement learning compensated filter
In modern navigation and positioning systems, accurate location information is crucial for
ensuring system performance and user experience. Particularly, in scenarios involving the use …
ensuring system performance and user experience. Particularly, in scenarios involving the use …
Blockchain empowered secure collaboration for swarm robots: Storage and computation
In recent years, swarm robot systems have garnered increasing attention, both in the industry
and academia. These collaborative systems demand effective solutions for data storage, …
and academia. These collaborative systems demand effective solutions for data storage, …
Robust and efficient classification for underground metal target using dimensionality reduction and machine learning
Y Wan, T Li, P Wang, S Duan, C Zhang, N Li - IEEE Access, 2021 - ieeexplore.ieee.org
Underground metal target detection technology has been widely applied in industrial production,
resource exploration, and engineering construction, etc. However, due to the influence …
resource exploration, and engineering construction, etc. However, due to the influence …
Ultra-wideband radio channel characteristics for near-ground swarm robots communication
Ultra-Wideband (UWB) technology has great potential for the cooperation and navigation
among near ground mobile robots in GPS-denied environments. In this paper, an efficient two-…
among near ground mobile robots in GPS-denied environments. In this paper, an efficient two-…
Comparison of machine learning algorithms for concentration detection and prediction of formaldehyde based on electronic nose
Purpose Sensor arrays and pattern recognition-based electronic nose (E-nose) is a typical
detection and recognition instrument for indoor air quality (IAQ). The E-nose is able to monitor …
detection and recognition instrument for indoor air quality (IAQ). The E-nose is able to monitor …
Federated learning-enabled cooperative localization in multi-agent system
Cooperative localization plays a significant role in various applications, such as emergency
rescue and navigation path planning. The advent of swarm intelligence has opened doors to …
rescue and navigation path planning. The advent of swarm intelligence has opened doors to …