Search Results for author:
Found 31 papers, 4 papers with code
Semantic Communication for the Internet of Sounds: Architecture, Design Principles, and Challenges
To achieve perceptual quality of sound synchronization in the IoS, it is necessary to precisely synchronize three critical factors: sound quality, timing, and behavior control.
S-RAN: Semantic-Aware Radio Access Networks
Semantic communication (SemCom) has been a transformative paradigm, emphasizing the precise exchange of meaningful information over traditional bit-level transmissions.
Fighter flight trajectory prediction based on spatio-temporal graphcial attention network
The Transformer branch network is used to extract the temporal characteristics of historical trajectories and capture the impact of the fighter's historical state on future trajectories, while the GAT branch network is used to extract spatial features in historical trajectories and capture potential spatial correlations between fighters. Then we concatenate the outputs of the two branches into a new feature vector and input it into a decoder composed of a fully connected network to predict the future position coordinates of the blue army fighter. The computer simulation results show that the proposed network significantly improves the prediction accuracy of flight trajectories compared to the enhanced CNN-LSTM network (ECNN-LSTM), with improvements of 47% and 34% in both ADE and FDE indicators, providing strong support for subsequent autonomous combat missions.
Blockchain-enabled Clustered and Scalable Federated Learning (BCS-FL) Framework in UAV Networks
This improves the decentralization, coordination, scalability, and efficiency of FL in large-scale UAV networks.
Generative AI-driven Semantic Communication Networks: Architecture, Technologies and Applications
Furthermore, GAI algorithms also play an important role in the management of SemCom networks.
QuickQuakeBuildings: Post-earthquake SAR-Optical Dataset for Quick Damaged-building Detection
Quick and automated earthquake-damaged building detection from post-event satellite imagery is crucial, yet it is challenging due to the scarcity of training data required to develop robust algorithms.
A Wireless AI-Generated Content (AIGC) Provisioning Framework Empowered by Semantic Communication
With the significant advances in AI-generated content (AIGC) and the proliferation of mobile devices, providing high-quality AIGC services via wireless networks is becoming the future direction.
Knowledge Base Aware Semantic Communication in Vehicular Networks
Semantic communication (SemCom) has recently been considered a promising solution for the inevitable crisis of scarce communication resources.
Towards Large-scale Building Attribute Mapping using Crowdsourced Images: Scene Text Recognition on Flickr and Problems to be Solved
This work addresses the challenges in applying Scene Text Recognition (STR) in crowdsourced street-view images for building attribute mapping.
DeepLCZChange: A Remote Sensing Deep Learning Model Architecture for Urban Climate Resilience
Urban land use structures impact local climate conditions of metropolitan areas.
xURLLC-Aware Service Provisioning in Vehicular Networks: A Semantic Communication Perspective
Semantic communication (SemCom), as an emerging paradigm focusing on meaning delivery, has recently been considered a promising solution for the inevitable crisis of scarce communication resources.
Joint User Association and Bandwidth Allocation in Semantic Communication Networks
Nevertheless, the unique demand for background knowledge matching makes it challenging to achieve efficient wireless resource management for multiple users in SemCom-enabled networks (SC-Nets).
WiserVR: Semantic Communication Enabled Wireless Virtual Reality Delivery
Virtual reality (VR) over wireless is expected to be one of the killer applications in next-generation communication networks.
Beam Management in Ultra-dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach
Deploying ultra-dense networks that operate on millimeter wave (mmWave) band is a promising way to address the tremendous growth on mobile data traffic.
Wireless Resource Management in Intelligent Semantic Communication Networks
The prosperity of artificial intelligence (AI) has laid a promising paradigm of communication system, i. e., intelligent semantic communication (ISC), where semantic contents, instead of traditional bit sequences, are coded by AI models for efficient communication.
Large-scale Building Height Retrieval from Single SAR Imagery based on Bounding Box Regression Networks
Building height retrieval from synthetic aperture radar (SAR) imagery is of great importance for urban applications, yet highly challenging owing to the complexity of SAR data.
Secure and Efficient Federated Learning Through Layering and Sharding Blockchain
Introducing blockchain into Federated Learning (FL) to build a trusted edge computing environment for transmission and learning has attracted widespread attention as a new decentralized learning pattern.
Smart and Secure CAV Networks Empowered by AI-Enabled Blockchain: The Next Frontier for Intelligent Safe Driving Assessment
Securing safe driving for connected and autonomous vehicles (CAVs) continues to be a widespread concern, despite various sophisticated functions delivered by artificial intelligence for in-vehicle devices.
CG-Net: Conditional GIS-aware Network for Individual Building Segmentation in VHR SAR Images
Object retrieval and reconstruction from very high resolution (VHR) synthetic aperture radar (SAR) images are of great importance for urban SAR applications, yet highly challenging owing to the complexity of SAR data.
Service Provisioning Framework for RAN Slicing: User Admissibility, Slice Association and Bandwidth Allocation
Network slicing (NS) has been identified as one of the most promising architectural technologies for future mobile network systems to meet the extremely diversified service requirements of users.
Instance segmentation of buildings using keypoints
The detected keypoints are subsequently reformulated as a closed polygon, which is the semantic boundary of the building.
So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification
This is especially true for an automated analysis of remote sensing images on a global scale, which enables us to address global challenges such as urbanization and climate change using state-of-the-art machine learning techniques.
BIG-bench Machine Learning
Cultural Vocal Bursts Intensity Prediction
+1
A Unifying Hybrid Consensus Protocol
We introduce Unity, a new consensus algorithm for public blockchain settings.
Cryptography and Security
Accurate facial image parsing at real-time speed
In this paper, we propose a design scheme for deep learning networks in the face parsing task with promising accuracy and real-time inference speed.
Ranked #7 on
Face Parsing
on CelebAMask-HQ
Efforts estimation of doctors annotating medical image
In this paper, we propose a new criterion to evaluate efforts of doctors annotating medical image.
A Multi-channel Network with Image Retrieval for Accurate Brain Tissue Segmentation
Magnetic Resonance Imaging (MRI) is widely used in the pathological and functional studies of the brain, such as epilepsy, tumor diagnosis, etc.
DASN:Data-Aware Skilled Network for Accurate MR Brain Tissue Segmentation
It is on the basis of this, we propose a judgement to distinguish data sets that different models are good at.
A Strategy of MR Brain Tissue Images' Suggestive Annotation Based on Modified U-Net
How to choose appropriate training dataset from limited labeled dataset rather than the whole also has great significance in saving training time.
Face Aging with Contextual Generative Adversarial Nets
The age discriminative network guides the synthesized face to fit the real conditional distribution.
Cross-domain Human Parsing via Adversarial Feature and Label Adaptation
Our proposed model explicitly learns a feature compensation network, which is specialized for mitigating the cross-domain differences.
Learning Adaptive Receptive Fields for Deep Image Parsing Network
In this paper, we introduce a novel approach to regulate receptive field in deep image parsing network automatically.
