12,763 Result(s)
within
Computer Communication Networks
**mo Wang
Chapter
Computer Science
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Chapter and Conference Paper
Power Transmission and Transformation Risk Management System Based on EWM Calculation and AHP
Aiming at the evaluation and management of transmission project investment risk under the new power market environment, a scheme combining the analytical hierarchy process (AHP) and the entropy weight method (...
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Chapter and Conference Paper
Correction to: A Survey of Control Flow Graph Recovery for Binary Code
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Chapter and Conference Paper
Convolutional Neural Network Based on Multiple Attention Mechanisms for Hyperspectral and LiDAR Classification
With the emergence of a large number of remote sensing data sources, how to effectively use the useful information in multi-source data for better earth observation has become an interesting but challenging pr...
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Chapter and Conference Paper
Convolutional Neural Network Prediction Error Algorithm Based on Block Classification Enhanced
Reversible data hiding techniques can effectively solve the information security problem, and One crucial approach to enhance the level of reversible data hiding is to predict images with higher accuracy, ther...
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Chapter and Conference Paper
Distributional Kernel: An Effective and Efficient Means for Trajectory Retrieval
In this paper, we propose a new and powerful way to represent trajectories and measure the distance between them using a distributional kernel. Our method has two unique properties: (i) the identity property w...
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Chapter and Conference Paper
Damage Identification Method of Building Structure Based on Computer Vision
Under the influence of load, earthquake, settlement and other factors, the building structure will be damaged to different degrees. If the building structure damage is not found and handled in time, it will le...
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Chapter and Conference Paper
HEI-GAN: A Human-Environment Interaction Based GAN for Multimodal Human Trajectory Prediction
Human trajectory prediction is an indispensable key component in autonomous driving systems and robot systems. The difficulty of human motion prediction lies in its inherent stochasticity and multimodality. Re...
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Chapter and Conference Paper
Event Sparse Net: Sparse Dynamic Graph Multi-representation Learning with Temporal Attention for Event-Based Data
Graph structure data has seen widespread utilization in modeling and learning representations, with dynamic graph neural networks being a popular choice. However, existing approaches to dynamic representation ...
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Chapter and Conference Paper
Knowledge Graph Reasoning with Bidirectional Relation-Guided Graph Attention Network
Graph convolutional neural networks (GCN) have demonstrated superior performance in graph data modeling and have been widely used in knowledge inference research in recent years. However, knowledge graph is a ...
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Chapter and Conference Paper
Two-Round Private Set Intersection Mechanism and Algorithm Based on Blockchain
In the contemporary era of the digital economy, the significance of data as a fundamental production factor cannot be overstated, as it serves as a driving force behind the development of the digital economy. ...
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Chapter and Conference Paper
Learning Bottleneck Transformer for Event Image-Voxel Feature Fusion Based Classification
Recognizing target objects using an event-based camera draws more and more attention in recent years. Existing works usually represent the event streams into point-cloud, voxel, image, etc., and learn the feat...
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Chapter and Conference Paper
BGBF-Net: Boundary-Guided Buffer Feedback Network for Liver Tumor Segmentation
Medical images such as CT can provide important reference value for doctors to diagnose diseases. Identifying and segmenting lesions from medical images is crucial for its diagnosis and treatment. However, unl...
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Chapter and Conference Paper
Full Domain Functional Bootstrap** with Least Significant Bit Encoding
Functional bootstrap** (FBS) is a powerful technique that evaluates a look-up table (LUT) while refreshing an LWE ciphertext in FHEW and TFHE schemes. However, the LUT evaluation over the message space is co...
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Chapter and Conference Paper
HPO-LGBM-DRI: Dynamic Recognition Interval Estimation for Imbalanced Fraud Call via HPO-LGBM
The prevention and crackdown of fraud calls have been paid more and more attention by industrial and academic societies. Most current researches based on machine learning ignore the imbalanced data distributio...
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Chapter and Conference Paper
Sequence-Based Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing: A Comparison Study
Mobile edge computing aims to extend cloud services to the network edge, thereby reducing the computational burden on mobile devices and enabling even simple devices to perform computationally intensive tasks ...
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Chapter and Conference Paper
Prediction of Rice Processing Loss Rate Based on GA-BP Neural Network
Food is closely related to national economy and people’s livelihood. Rice is the largest grain crop in China, it is crucial to predict the loss rate of rice during processing to reduce food waste and ensure fo...
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Chapter and Conference Paper
A Pixel-Level Segmentation Method for Water Surface Reflection Detection
Water surface reflections pose challenges to unmanned surface vehicles or robots during target detection and tracking tasks, leading to issues such as the loss of tracked targets and false target detection. Cu...
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Chapter and Conference Paper
WiKnow: A Human Activity Recognition Method in Office Scene with Coordinate Attention from WiFi Channel State Information
In the modern information society, people spend more and more time in the office. Therefore, understanding the various human activities of users in office scenarios is important to enable health monitoring, sm...
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Chapter and Conference Paper
WDU-Net: Wavelet-Guided Deep Unfolding Network for Image Compressed Sensing Reconstruction
More and more deep unfolding networks have been studied to obtain good interpretability for high-quality image Compressed Sensing (CS) reconstruction. However, most of these networks simply focus on transmitti...
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Chapter and Conference Paper
STAPointGNN: Spatial-Temporal Attention Graph Neural Network for Gesture Recognition Using Millimeter-Wave Radar
Gesture recognition plays a pivotal role in enabling natural and intuitive human-computer interaction (HCI), finding applications in diverse domains such as smart homes, robot control, and virtual reality. Tha...
