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- research-articleJuly 2024
A new FCM-XGBoost system for predicting Pavement Condition Index
Expert Systems with Applications: An International Journal (EXWA), Volume 249, Issue PBhttps://doi.org/10.1016/j.eswa.2024.123696Highlights- We comprehensively analyze various factors affecting pavement condition index (PCI)
- We identify the important determinant features for building PCI prediction models.
- We develop a new FCM-XGBoost modelling framework to effectively ...
Predicting Pavement Condition Index (PCI) is crucial for identifying potential pavement distresses and developing effective pavement maintenance strategies. Here, a new Fuzzy C-Means-eXtreme Gradient Boosting (FCM-XGBoost) PCI prediction system ...
- research-articleJune 2024
Physical Layer Authentication in Backscatter Communication: A Review
IEEE Wireless Communications (IEEEWIRCOM), Volume 31, Issue 3Pages 264–270https://doi.org/10.1109/MWC.012.2200364Backscatter communication (BC) has been introduced as a cutting-edge technology due to low cost and ultra-low-power consumption. However, its openness and broadcast nature bring severe security threats and vulnerabilities to BC systems. Physical layer ...
- research-articleJune 2024
Event-triggered adaptive leaderless consensus control for nonlinear multi-agent systems with unknown dead-zones and output constraints
Applied Mathematics and Computation (APMC), Volume 469, Issue Chttps://doi.org/10.1016/j.amc.2023.128523AbstractThis article investigates the event-triggered adaptive control problem for a class of leaderless multi-agent systems with output constraints and unknown dead-zones. The adaptive updating laws are designed to eliminate the effects of unknown dead-...
- research-articleFebruary 2024
An origin–destination passenger flow prediction system based on convolutional neural network and passenger source-based attention mechanism
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PDhttps://doi.org/10.1016/j.eswa.2023.121989AbstractAn accurate origin–destination (OD) passenger flow prediction system is crucially important for urban metro operation and management. However, there are still lacking targeted prediction systems focusing on the passenger travel demand causing ...
- research-articleApril 2024
Hydra: Hybrid-model federated learning for human activity recognition on heterogeneous devices
Journal of Systems Architecture: the EUROMICRO Journal (JOSA), Volume 147, Issue Chttps://doi.org/10.1016/j.sysarc.2023.103052AbstractFederated Learning (FL) has recently received extensive attention in enabling privacy-preserving edge AI services for Human Activity Recognition (HAR). However, users’ mobile and wearable devices in the HAR scenario usually possess dramatically ...
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- research-articleJanuary 2024
A K-Shape Clustering Based Transformer-Decoder Model for Predicting Multi-Step Potentials of Urban Mobility Field
IEEE Transactions on Intelligent Transportation Systems (ITS-TRANSACTIONS), Volume 25, Issue 8Pages 10298–10312https://doi.org/10.1109/TITS.2024.3355211Identifying and predicting the travel hotspots in urban areas can provide crucial support for building intelligent transportation systems. In this study, we propose to use the potentials of urban mobility field to identify the travel hotspots and develop ...
- review-articleMarch 2024
Evaluation of the efficacy and safety of robot-assisted and video assisted thoracic surgery for early non-small cell lung cancer: A meta-analysis
Technology and Health Care (TAHC), Volume 32, Issue 2Pages 511–523https://doi.org/10.3233/THC-230201BACKGROUND:Radical resection of lung cancer and chemotherapy are the main methods for the treatment of early lung cancer, but surgical treatment is still the key and preferred method.
OBJECTIVE:To evaluate the efficacy and safety of robotic-...
- research-articleDecember 2023
BGKey: Group Key Generation for Backscatter Communications Among Multiple Devices
IEEE Transactions on Information Forensics and Security (TIFS), Volume 19Pages 2470–2486https://doi.org/10.1109/TIFS.2023.3345650Backscatter communication (BC) is an emerging radio technology for achieving sustainable wireless communications. However, the literature still lacks an effective secret group key generation scheme for safeguarding communications among multiple resource-...
- ArticleOctober 2023
Post-Stroke Motor Function Assessment Based on Brain-Muscle Coupling Analysis
AbstractThe interaction of information between the brain and muscles is widely present in human activities. Brain-muscle coupling has been proven to quantify the amount of information transmission between the cortex and muscles. Motor dysfunction is a ...
- research-articleJuly 2023
ALSketch: An adaptive learning-based sketch for accurate network measurement under dynamic traffic distribution
Journal of Network and Computer Applications (JNCA), Volume 216, Issue Chttps://doi.org/10.1016/j.jnca.2023.103659AbstractLearning-based sketch improves accuracy and reduces the space overhead of traditional sketches by using machine learning to recognize input data patterns. However, most learning-based sketches adopts offline learning to train a ...
- research-articleApril 2023
Designing Acoustic Reconfigurable Intelligent Surface for Underwater Communications
IEEE Transactions on Wireless Communications (TWC), Volume 22, Issue 12Pages 8934–8948https://doi.org/10.1109/TWC.2023.3267169The UnderWater Acoustic (UWA) communication is the foundation for oceanic information applications. However, existing UWA systems suffer from low data rate problem. Although the Multiple Input Multiple Output (MIMO) scheme is proved to be able to increase ...
- research-articleApril 2023
Benefits of pre-trained mono- and cross-lingual speech representations for spoken language understanding of Dutch dysarthric speech
EURASIP Journal on Audio, Speech, and Music Processing (EJASMP), Volume 2023, Issue 1https://doi.org/10.1186/s13636-023-00280-zAbstractWith the rise of deep learning, spoken language understanding (SLU) for command-and-control applications such as a voice-controlled virtual assistant can offer reliable hands-free operation to physically disabled individuals. However, due to data ...
- research-articleMarch 2023
Continuous grip force estimation from surface electromyography using generalized regression neural network
Technology and Health Care (TAHC), Volume 31, Issue 2Pages 675–689https://doi.org/10.3233/THC-220283BACKGROUND:Grip force estimation is highly required in realizing flexible and accurate prosthetic control.
OBJECTIVE:This study presents a method to accurately estimate continuous grip force from surface electromyography (sEMG) under three forearm ...
- research-articleDecember 2022
EdgeML: Towards network-accelerated federated learning over wireless edge
Computer Networks: The International Journal of Computer and Telecommunications Networking (CNTW), Volume 219, Issue Chttps://doi.org/10.1016/j.comnet.2022.109396AbstractFederated learning (FL) is a distributed machine learning technology for next-generation AI systems that allows a number of workers, i.e., edge devices, collaboratively learn a shared global model while keeping their data locally to prevent ...
Highlights- The limited network bandwidth in Wireless multi-hop networks degraded scalability of federated learning.
- Model-based optimization for multi-hop federated learning system is non-trivial.
- The multi-agent reinforcement learning ...
- research-articleDecember 2022
A semi-supervised co-training model for predicting passenger flow change in expanding subways
Expert Systems with Applications: An International Journal (EXWA), Volume 209, Issue Chttps://doi.org/10.1016/j.eswa.2022.118310Highlights- Section passenger flow change in expanding subway is analyzed and predicted.
- ...
Subways in many big cities are experiencing rapid development with new lines being planned, built and put into operations. Understanding passenger flow change in expanding subways is of significant importance, because it is a crucial ...
- ArticleOctober 2022
Incomplete Multi-view Domain Adaptation via Channel Enhancement and Knowledge Transfer
AbstractUnsupervised domain adaptation (UDA) borrows well-labeled source knowledge to solve the specific task on unlabeled target domain with the assumption that both domains are from a single sensor, e.g., RGB or depth images. To boost model performance, ...
- research-articleOctober 2022
A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose
MM '22: Proceedings of the 30th ACM International Conference on MultimediaPages 5496–5507https://doi.org/10.1145/3503161.3547844Existing deep learning-based human mesh reconstruction approaches have a tendency to build larger networks to achieve higher accuracy. Computational complexity and model size are often neglected, despite being key characteristics for practical use of ...
- research-articleSeptember 2022
X-Disco: Cross-technology Neighbor Discovery
- Shuai Wang,
- Jianlin Guo,
- Pu Wang,
- Kieran Parsons,
- Philip Orlik,
- Yukimasa Nagai,
- Takenori Sumi,
- Parth Pathak
2022 19th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)Pages 163–171https://doi.org/10.1109/SECON55815.2022.9918568With the explosive proliferation of wireless devices, our lives are improved by various applications supported by heterogeneous wireless technologies, such as WiFi and ZigBee. However, the coexistence of WiFi and ZigBee also results in the degradation of ...
- research-articleSeptember 2022
Resource Allocation Optimization for Secure Multidevice Wirelessly Powered Backscatter Communication With Artificial Noise
IEEE Transactions on Wireless Communications (TWC), Volume 21, Issue 9Pages 7794–7809https://doi.org/10.1109/TWC.2022.3162137Wirelessly powered backscatter communications (WPBC) is an emerging technology for providing continuous energy and ultra-low power communications. Despite some progress in WPBC systems, resource allocation for multiple devices towards secure backscatter ...
- research-articleSeptember 2022
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
IEEE Transactions on Intelligent Transportation Systems (ITS-TRANSACTIONS), Volume 23, Issue 9Pages 15055–15065https://doi.org/10.1109/TITS.2021.3136287While considering the spatial and temporal features of traffic, capturing the impacts of various external factors on travel is an essential step towards achieving accurate traffic forecasting. However, existing studies seldom consider external factors or ...