1,019 Result(s)
within
Chapter
Yao **xi
Information Systems Applications (incl. Internet)
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Chapter and Conference Paper
Strong Gravitational Lensing Parameter Estimation with Vision Transformer
Quantifying the parameters and corresponding uncertainties of hundreds of strongly lensed quasar systems holds the key to resolving one of the most important scientific questions: the Hubble constant ( ...
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Chapter and Conference Paper
Two-Stage COVID19 Classification Using BERT Features
We propose an automatic COVID1-19 diagnosis framework from lung CT-scan slice images using double BERT feature extraction. In the first BERT feature extraction, A 3D-CNN is first used to extract CNN internal f...
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Chapter and Conference Paper
Formal Verification and Testing of Data Plane in Software-Defined Networks: A Survey
Software-defined network (SDN) separates the control plane and the data plane, which provides the programmability of the network and is widely deployed in data center networks. As the foundation of SDN, the da...
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Chapter and Conference Paper
Tracking Multi-objects with Anchor-Free Siamese Network
Single object tracker based on siamese neural network have become one of the most popular frameworks in this field for its strong discrimination ability and high efficiency. However, when the task switch to mu...
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Chapter and Conference Paper
Deep Edge Defense for Industrial Internet Based on Customized Hardware and UOS Architecture
With the rocketing development of Industrial Internet, the edge control and acquisition networks have become one integral role in determining high-efficiency intelligent manufacturing and flexible production, ...
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Chapter and Conference Paper
Learning a Typhoon Bayesian Network Structure from Natural Language Reports
Given the huge toll caused by natural disasters, it is critically important to develop an effective disaster management and emergency response technique. In this article, we investigate relationships between t...
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Chapter and Conference Paper
GenGPT: A Systematic Way to Generate Synthetic Goal-Plan Trees
Deciding “what to do next” is a key problem for BDI agents with multiple goals, which is termed the intention progression problem (IPP). A number of approaches to solving the IPP have been proposed in the lite...
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Chapter and Conference Paper
The Moderator of Gamification of Physical Activities in Older Adults
As the increase of age, many physical and psychological functions of aging and decline are derived. Through appropriate regular exercise, the impact of aging can be delayed. Based on the health problems of the...
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Chapter and Conference Paper
Design and Testing of Source Address Validation Protocols: A Survey
In today’s Internet, the data packets are forwarded according to the destination addresses without checking source addresses. Therefore, many network attacks based on source address spoofing have occurred, whi...
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Chapter and Conference Paper
Noisy Label Learning in Deep Learning
Currently, the construction of a large-scale manual annotation databases is still a prerequisite for the success of DNN. Although there is no shortage of data, there is a lack of clean label data in many field...
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Chapter and Conference Paper
A Method of Firmware Vulnerability Mining and Verification Based on Code Property Graph
With the rapid development of smart power grid, the security of intelligent terminal has been widely concerned. Firmware is the core component of intelligent terminal equipment, and its vulnerability has becom...
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Chapter and Conference Paper
Dynamic Vision Sensor Based Gesture Recognition Using Liquid State Machine
Dynamic Vision Sensor (DVS) is a neuromorphic sensor. Compared with traditional cameras, event cameras based on DVS have the advantages of high time resolution, low power consumption, less motion blur, and low...
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Chapter and Conference Paper
How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation
Graph neural networks (GNNs), as a group of powerful tools for representation learning on irregular data, have manifested superiority in various downstream tasks. With unstructured texts represented as concept...
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Chapter
Cross-Cultural Privacy Differences
As many technologies have become available around the world and users increasingly share personal information online with people and organizations from different countries and cultures, there is an urgent need...
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Chapter and Conference Paper
Understanding the Dynamics of DNNs Using Graph Modularity
There are good arguments to support the claim that deep neural networks (DNNs) capture better feature representations than the previous hand-crafted feature engineering, which leads to a significant performanc...
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Chapter and Conference Paper
Design of Wireless Force Sensing Module of Vascular Interventional Robot
Force information is an indispensable and essential factor in vascular interventional surgery, which significantly affects the accuracy and safety of the procedure. This paper designs a new force sensing modul...
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Chapter and Conference Paper
Reliability Evaluation of Smart DC Microgrid
Nowadays, one of the main contributors of air pollution is thermal power plant. China want to develop renewable energy to solve the problem [1]. In many areas, roof photovoltaic (PV) energy systems, wind energy s...
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Chapter and Conference Paper
Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification
Contrastive self-supervised learning has recently benefited fMRI classification with inductive biases. Its weak label reliance prevents overfitting on small medical datasets and tackles the high intraclass var...
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Chapter and Conference Paper
Eye Movement and Visual Target Synchronization Level Detection Using Deep Learning
In recent years, deep learning has been widely used in the eye-tracking area. Eye-tracking has been studied to diagnose neurological and psychological diseases early since it is a simple, non-invasive, and obj...
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Chapter and Conference Paper
An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification
Deep neural networks currently achieve state-of-the-art performance in many multivariate time series classification (MTSC) tasks, which are crucial for various real-world applications. However, the black-box c...
