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505 Result(s)
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Chapter and Conference Paper
Predicting Future Spatio-Temporal States Using a Robust Causal Graph Attention Model
Spatiotemporal prediction is a research topic in urban planning and management. Most existing spatiotemporal prediction models currently face challenges. More specifically, most prediction models are sensitive...
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Chapter and Conference Paper
Measurement and Research on the Conflict Between Residential Space and Tourism Space in Pianyan Ancient Township
Studying spatial behavioral conflicts is the main method to understand the conflicts between tourists and residents. However, academic research on spatial conflict mostly involves urban macro-level discussions...
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Chapter and Conference Paper
Smoke Segmentation Method Based on Super Pixel Segmentation and Convolutional Neural Network
The steps of the fire disaster are from smokes to open flame. It has significant and practical meaning to use fixed camera stands to detect smoke. As the rapid development of AI in recent years the methods tha...
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Chapter and Conference Paper
Roadside IRS Assisted Task Offloading in Vehicular Edge Computing Network
Vehicular edge computing (VEC) has been recognized as a promising technique to process delay-sensitive vehicular applications. Nevertheless, in order to accommodate the rapid growth in the number of connected ...
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Chapter and Conference Paper
Joint Optimization of PAoI and Queue Backlog with Energy Constraints in LoRa Gateway Systems
Peak Age of Information(PAoI), as a performance indicator representing the freshness of information, has attracted the attention of researchers in recent years. The data packet transmission rate in the LoRa ne...
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Chapter and Conference Paper
Delay-Constrained Multicast Throughput Maximization in MEC Networks for High-Speed Railways
Multi-access Edge Computing presents a compelling solution for delivering seamless connectivity to computing services. In this study, we aim to optimize multicast throughput to ensure high-quality experiences ...
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Chapter and Conference Paper
A Semi-supervised Learning Method for Malware Traffic Classification with Raw Bitmaps
The rapid growth of malware and its variants has a significant detrimental effect on the security of the Internet infrastructure. In recent years, deep learning-based methods have demonstrated significant succ...
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Chapter and Conference Paper
Collaborative Decision-Making Processes Analysis of Service Ecosystem: A Case Study of Academic Ecosystem Involution
With the collaboration of several intelligent services, a crowd intelligence service network has been formed, and a service ecosystem has gradually emerged. As a novel service organization model, the Service E...
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Chapter and Conference Paper
Collaborative Task Processing and Resource Allocation Based on Multiple MEC Servers
Mobile Edge Computing (MEC), an emerging computing paradigm, shifts computing and storage capabilities from the cloud to the network edge, aiming to meet the delay requirements of emerging applications and sav...
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Chapter and Conference Paper
Enhancing Session-Based Recommendation with Multi-granularity User Interest-Aware Graph Neural Networks
Session-based recommendation aims at predicting the next interaction based on short-term behaviors within an anonymous session. Conventional session-based recommendation methods primarily focus on studying the...
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Chapter and Conference Paper
Robustness-Enhanced Assertion Generation Method Based on Code Mutation and Attack Defense
Writing high-quality unit tests plays a crucial role in discovering and diagnosing early-stage errors and preventing their further propagation throughout the development cycle. However, the low readability of ...
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Article
Interactive communication in the process of physical education: are social media contributing to the improvement of physical training performance
The development of modern technologies and the use of social networks create an environment for the exchange of information, interactive communication, learning, and optimization of various processes. The stud...
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Chapter and Conference Paper
Balanced Graph Structure Information for Brain Disease Detection
Analyzing connections between brain regions of interest (ROI) is vital to detect neurological disorders such as autism or schizophrenia. Recent advancements employ graph neural networks (GNNs) to utilize graph...
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Chapter and Conference Paper
Bridging the Research-Practice Gap in China’s Librarianship through Library Societies: A Pilot Study
The integration of research and practice is the basic guarantee for librarianship, but there is still a research-practice gap in China’s librarianship. Library Society of China (LSC) is an important force to p...
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Chapter and Conference Paper
Class Specialized Knowledge Distillation
Knowledge Distillation (KD) is a compression framework that transfers distilled knowledge from a teacher to a smaller student model. KD approaches conventionally address problem domains where the teacher and s...
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Chapter and Conference Paper
The Rural Informatization Policies in China: The Power Dynamics and Policy Instruments
Rural informatization in China has developed rapidly in recent years. However, there are still significant differences in the rate of informatization of rural and urban areas resulting from the historical reso...
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Chapter and Conference Paper
Multi-modal Segment Assemblage Network for Ad Video Editing with Importance-Coherence Reward
Advertisement video editing aims to automatically edit advertising videos into shorter videos while retaining coherent content and crucial information conveyed by advertisers. It mainly contains two stages: vi...
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Chapter and Conference Paper
Anti-Clone: A Lightweight Approach for RFID Cloning Attacks Detection
Millions of radio frequency identification (RFID) tags are pervasively used all around the globe to identify a wide variety of objects inexpensively. However, the tag cannot use energy-hungry cryptography due ...
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Chapter and Conference Paper
An Adaptive Ensembled Neural Network-Based Approach to IoT Device Identification
The Internet of Things (IoT) has developed rapidly in recent years and has been widely used in our daily life. An online report claimed that the connected IoT devices will reach the scale of 14.4 billion globa...
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Chapter and Conference Paper
Cost Performance Driven Multi-request Allocation in D2D Service Provision Systems
Device-to-Device (D2D) communication has emerged as a promising technique to cope with the increasing heavy traffic in mobile networks. A critical problem in D2D service is request allocation, which aims to fi...