305 Result(s)
within
Conference Paper
Li** Shao
English
Information Systems Applications (incl. Internet)
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Chapter and Conference Paper
InDNI: An Infection Time Independent Method for Diffusion Network Inference
Diffusion network inference aims to reveal the message propagation process among users and has attracted many research interests due to the fundamental role it plays in some real applications, such as rumor-sp...
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Chapter and Conference Paper
A System Integration Method of Product Data Management Based on UG/NX Secondary Development
An integrated development methodology of UG/NX and product data management (PDM) system is carried out based on the UG/NX secondary development technology, aiming at the needs of the PDM system to manage the p...
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Chapter and Conference Paper
Multi-scale Feature Based Densely Channel Attention Network for Vision-Based Haze Visibility Detection
Due to the problem of reduced visibility caused by haze pollution, it has brought great inconvenience to outdoor activities and traffic travel. Therefore, haze control has become one of the topics closely conc...
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Chapter and Conference Paper
HFSWR Polarization DOA Estimation Based on Quaternion
This paper examines the direction of arrival (DOA) estimation for polarized signals im**ing on a vector sensor array for high frequency surface wave radar (HFSWR). The vector array effectively utilizes the p...
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Chapter and Conference Paper
How to Apply Bloom’s Taxonomy to Operator Education in the Way of Human-Machine Cooperation?
Operator education is essential in the process industry to avoid catastrophic accidents caused by human error. The operators of modern industrial plants not only need professional operation skills, more import...
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Chapter and Conference Paper
Generative Unknown-Aware Object Detection
Building object detectors can identify unknown objects, which is critical yet underexplored. An additional discriminative inference pass is generally needed to generate final classification results for “unknow...
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Chapter and Conference Paper
Robust Zero Watermarking Algorithm for Medical Images Using Local Binary Pattern and Discrete Cosine Transform
Thanks to the rapid development of the telemedicine, medical treatment has turned in great convenience. However, as the internet network can be addressed by any user, the medical images cannot avoid the defect...
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Chapter and Conference Paper
Novel Shaped 8/16PSK Modulation with Improved Spectral Efficiency
In this work, a precoder based on 8/16 phase shift keying (PSK) is devised and used to generate a novel shaped 8/16 PSK modulation combining precoding and continuous phase modulation (CPM). Then, two receivers...
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Chapter and Conference Paper
A Review of Cross-Blockchain Solutions
With the development of distributed ledgers, a variety of blockchain projects, with different characteristics, are emerging and working in a broad range of application scenarios. Cross-Blockchain Solutions are...
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Chapter and Conference Paper
Outage Probability for Device to Device and Cellular Heterogeneous Networks over Nakagami-m Channels
Device-to-Device (D2D) communication has become an important component in future communications, because it has the advantages of offloading traffic from the base stations and reducing the distance between the...
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Chapter and Conference Paper
Path-Preserving Anonymization for Inter-domain Routing Policies
The Internet consists of tens of thousands of autonomous systems (ASes), which exchange routing information through policy-based routing protocols, such as Border Gateway Protocol (BGP). BGP allows network adm...
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Chapter and Conference Paper
Dynamic Trust-Based Resource Allocation Mechanism for Secure Edge Computing
Edge computing plays an important role in processing and storing data. By offloading tasks to the edge server, mobile users can access necessary computing resources on demand. However, security of edge computi...
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Chapter and Conference Paper
Self-attention Based Multimodule Fusion Graph Convolution Network for Traffic Flow Prediction
With rapid economic development, the per capita ownership of automobiles in our country has begun to rise year by year. More researchers have paid attention to using scientific methods to solve traffic flow pr...
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Chapter and Conference Paper
fASLR: Function-Based ASLR for Resource-Constrained IoT Systems
The address space layout randomization (ASLR) has been widely deployed on modern operating systems against code reuse attacks (CRAs) such as return-oriented programming (ROP) and return-to-libc. However, porti...
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Chapter and Conference Paper
Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity
In this paper, we propose a dual-process cognitive recommendation system for sequential recommendations. The framework includes an intuitive representation module (System 1) and an inference module (System 2)....
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Chapter and Conference Paper
A Survey of Face Image Inpainting Based on Deep Learning
In recent years, deep learning has become the mainstream method of image inpainting. It can not only repair the texture of the image, obtain high-level abstract features of the image, but also recover semantic...
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Chapter and Conference Paper
Multi-task Lung Nodule Detection in Chest Radiographs with a Dual Head Network
Lung nodules can be an alarming precursor to potential lung cancer. Missed nodule detections during chest radiograph analysis remains a common challenge among thoracic radiologists. In this work, we present a ...
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Chapter and Conference Paper
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning
The pioneering method for unsupervised meta-learning, CACTUs, is a clustering-based approach with pseudo-labeling. This approach is model-agnostic and can be combined with supervised algorithms to learn from u...
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Chapter and Conference Paper
PalGAN: Image Colorization with Palette Generative Adversarial Networks
Multimodal ambiguity and color bleeding remain challenging in colorization. To tackle these problems, we propose a new GAN-based colorization approach PalGAN, integrated with palette estimation and chromatic a...
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Chapter and Conference Paper
Efficient Spatio-Temporal Network with Gated Fusion for Video Super-Resolution
Video super-resolution (VSR) has drawn much attention in research community recently. As the typical three-dimensional (3D) signals, how to exploit spatio-temporal features in videos effectively and efficientl...
