5,791 Result(s)
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Chapter and Conference Paper
Distributed Intelligence Analysis Architecture for 6G Core Network
To achieve automation and intelligence in 5G networks, the 3rd Generation Partnership Project (3GPP) introduced the Network Data Analysis Function (NWDAF) as a novel network function. However, in the tradition...
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Chapter and Conference Paper
HeatC: A Variable-Grained Coverage Criterion for Deep Learning Systems
Deep learning (DL) systems have achieved significant success in numerous cutting-edge fields. However, the deployment of DL systems in safety-critical areas has raised public concerns about their correctness a...
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Chapter and Conference Paper
3D Object Detection Method Based on LiDAR Point Cloud Data
With the development of autonomous driving technology, the agricultural field is also develo** in the direction of intelligence and automation, and the automated operation of agricultural machinery has becom...
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Chapter and Conference Paper
Collaborative Filtering Recommendation Algorithm and Recommendation System for College Students’ Employment
With the continuous development of our society, the requirements for talents are more and more higher, so the employment situation of college students has become more severe. College students’ life is in the l...
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Chapter and Conference Paper
What is a Proper Face Registration for Face Recognition?
Face recognition systems have now made significant progress. In practice, we may face the important question of what is a better face registration for a typical face recognition algorithm, but this problem has...
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Chapter and Conference Paper
Design of a Cabin English Automatic Broadcasting Detection System Based on Deep Learning
Cabin English is a commercial English designed explicitly for overseas passengers to help them better understand platform information and stay abreast of current situations. As Cabin English can guide foreign ...
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Chapter and Conference Paper
Research on Precision Marketing Strategy of Guangdong Characteristic Products Enabled by Big Data in Rural
With the deepening of the rural revitalization strategy, in order to accelerate the implementation of rural revitalization and development, promote the adjustment of industrial structure, and deepen the innova...
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Chapter and Conference Paper
Neural Machine Translation with an Awareness of Semantic Similarity
Machine translation requires that source and target sentences have identical semantics. Previous neural machine translation (NMT) models have implicitly achieved this requirement using cross-entropy loss. In t...
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Chapter and Conference Paper
Are Graph Embeddings the Panacea?
Graph representation learning has emerged as a machine learning go-to technique, outperforming traditional tabular view of data across many domains. Current surveys on graph representation learning predominant...
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Chapter and Conference Paper
Efficient 3D View Synthesis from Single-Image Utilizing Diffusion Priors
In this paper, we introduce a novel framework for synthesizing novel views of objects from a single image. Leveraging the capabilities of fine-tuned diffusion models, our method combines latent 3D knowledge as...
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Chapter and Conference Paper
An Exploratory Study on a Physical Picture Book Representation System for Preschool Children
This paper describes the develo** process and preliminary testing of a physical representation system aimed at supporting preschool children’s picture book search. The authors first conducted named entity re...
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Chapter and Conference Paper
A Sampling Method for Performance Predictor Based on Contrastive Learning
Performance predictors are commonly dedicated to mitigating the substantial resource consumption of neural architecture search. Nevertheless, existing performance predictors are typically constructed based on ...
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Chapter and Conference Paper
Joint Security Protection and Transmission Delay Scheduling Scheme of Voice Switching Network
Security protection technology has been gradually receiving wide attention in the voice switching network. However, this technology will bring about a delay in user response and a decline in the quality of ser...
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Chapter and Conference Paper
Enhancing Cardiac MRI Segmentation via Classifier-Guided Two-Stage Network and All-Slice Information Fusion Transformer
Cardiac Magnetic Resonance imaging (CMR) is the gold standard for assessing cardiac function. Segmenting the left ventricle (LV), right ventricle (RV), and LV myocardium (MYO) in CMR images is crucial but time...
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Chapter and Conference Paper
Beneath the Facade of IP Leasing: Graph-Based Approach for Identifying Malicious IP Blocks
With the depletion of IPv4 address resources, the prevalence of IPv4 address leasing services by hosting providers has surged. These services allow users to rent IP blocks, offering an affordable and flexible ...
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Chapter and Conference Paper
Enhancing Adversarial Robustness via Stochastic Robust Framework
Despite deep neural networks (DNNs) have attained remarkable success in image classification, the vulnerability of DNNs to adversarial attacks poses significant security risks to their reliability. The design ...
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Chapter and Conference Paper
Mobilenetv2-SSD Target Detection Method Based on Multi-scale Feature Fusion
Most of the deep learning networks used in target detection algorithms are very complex, which poses difficulties for edge devices with limited storage capacity and computing power, such as mobile terminals. A...
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Chapter and Conference Paper
SyncRec: A Synchronized Online Learning Recommendation System
With the rapid development of digitalization and big data technology, numerous online learning materials have become available for self-regulated online learning. However, there is still a lack of a practical ...
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Chapter and Conference Paper
Analysis of Significant Cell Differences Between Cancer Patients and Healthy Individuals
At the end of 2019, a global outbreak of a new coronavirus ravaged the world, and to this day, many people’s bodies are still deeply affected by the virus. In order to find out if there is a correlation betwee...
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Chapter and Conference Paper
Multi-target Collaborative Identification and Tracking of UAV Swarm with Passive Sensors
The environment perception in a complex battlefield by the swarm of unmanned aerial vehicles (UAV) have increased considerably in the last few years, which focuses on the detection, identification and tracking...
