161 Result(s)
within
English
Artificial Intelligence
**aochen **
Conference Paper
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Chapter and Conference Paper
Semantic Enhancement Framework for Robust Speech Recognition
Auto speech recognition (ASR) has been widely used in dialogue systems of various domains, performing as a crucial part of technology. Since the output of the ASR system will provide input to the subsequent sy...
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Chapter and Conference Paper
RA-Net: A Deep Learning Approach Based on Residual Structure and Attention Mechanism for Image Copy-Move Forgery Detection
To reduce the difficulty of image forensics on forgery images, in this paper, we present an efficient end-to-end deep learning approach using Residual Structure and Attention Mechanism (RA-Net) for image copy-...
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Chapter and Conference Paper
SBR-based User Intent Extraction Mechanism for Intent-Based Network
As an promising technology to improve the network configuration efficiency, IBN (Intent-Based Network) can realize the automatic configuration from users to devices, with the objective to reduce the maintenanc...
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Chapter and Conference Paper
Multi-obstacle Avoidance of UAV Based on Improved Q Learning Algorithm
Aiming at the autonomous obstacle avoidance problem of UAV in multi-obstacle map environment, a UAV obstacle avoidance algorithm based on the improved Q learning method is proposed. By analyzing the UAV dynami...
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Chapter and Conference Paper
Discussion on AI Influence from the Perspective of Chat GPT
Based on the analysis of the concept and function of Chat GPT this article explores the influence that AI brought from the following 4 aspects: 1. Whether Chat GPT is a creative artifacts or a cheating tool; 2...
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Chapter and Conference Paper
Meta-HRNet: A High Resolution Network for Coarse-to-Fine Few-Shot Classification
Fine-grained classification has achieved success with the application of deep learning on large datasets. However, in practical scenarios, fine-grained categories often suffer from a lack of training data due ...
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Chapter and Conference Paper
Enhancing Text2SQL Generation with Syntactic Information and Multi-task Learning
The Text2SQL task aims to convert natural language (NL) questions into SQL queries. Most rule-based traditional syntactic parsers are often ignoring the syntactic information in the question and unseen databas...
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Chapter and Conference Paper
Extraction Method of Vibroseis Phase Signal Based on Time-Varying Narrowband Filtering
When the phase travel time value increases continuously, the accuracy of the vibroseis phase signal extraction method will be disturbed. Aiming at this problem, a time-varying narrow-band filtering based vibro...
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Chapter and Conference Paper
MMDF-ESI: Multi-Modal Deep Fusion of EEG and MEG for Brain Source Imaging
Electrophysiological Source Imaging (ESI) aims to reconstruct the underlying electric brain sources based on Electroencephalography (EEG) or Magnetoencephalography (MEG) measurements of brain activities. Due t...
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Chapter and Conference Paper
Applying Distributed Ledger Technology to Facilitate IIoT Data Exchange: An Approach Based on IOTA Tangle
Data interoperability is a fundamental dimension in enterprise interoperability. The interoperability of data is concerned with exchanging information coming from heterogeneous sources among different partners...
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Chapter and Conference Paper
Research on Key Technology and Developmental Trend of Autonomous Control of UAV
With the extensive application of UAV in air raid operations, autonomous control technology has become an important factor to improve its survivability, adaptability and mission completion ability. In this pap...
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Chapter and Conference Paper
Research on UAV Swarm Operations
In recent years, UAV swarm technology has become more and more mature, it has been a kind of newly-typed operations to conduct air strike by applying UAV swarms, and UAV swarm operations are leading the develo...
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Chapter and Conference Paper
3D Visualization Supporting Situational Awareness of Model-Based System of Systems
Model-based System of Systems Engineering (MBSoSE) enables to improve the efficiency of the architecture design, and the performance analysis and modeling of highly complex system of systems (SoS). Introducing...
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Chapter and Conference Paper
Defect Detection and Process Monitoring for Wire Arc Additive Manufacturing Using Machine Learning
Wire Arc Additive Manufacturing (WAAM) is a promising manufacturing technology that has been used to build medium to larger-sized components. The recent progress of Artificial Intelligence (AI) technology has ...
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Chapter and Conference Paper
Efficient Designated-Server Proxy Re-encryption with Keyword Search for Big Data
Against the background of the era of big data and cloud computing, cloud platforms have become the first choice for data storage. While cloud platforms also face serious threats to data security and user priv...
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Chapter and Conference Paper
The Impact and Countermeasures of the “Two Pillar” Scheme for Mobile Digital Enterprise Taxation
Twenty-First Century, digital economy has been a tremendous development and become the main economic forms of the world. However, mobile digital enterprises mostly provide services through the use of new platf...
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Chapter and Conference Paper
Vehicle Trajectory Prediction Based on Graph Attention Network
Trajectory prediction is one of the main challenges to autonomous v...
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Chapter and Conference Paper
VERTEX: VEhicle Reconstruction and TEXture Estimation from a Single Image Using Deep Implicit Semantic Template Map**
We introduce VERTEX, an effective solution to recovering the 3D shape and texture of vehicles from uncalibrated monocular inputs under real-world street environments. To fully utilize the semantic prior of veh...
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Chapter and Conference Paper
Efficient Subjective Video Quality Assessment Based on Active Learning and Clustering
Subjective video quality assessment (SVQA) is essential in order to produce a sufficient benchmark dataset, which is especially important for extreme environments such as underwater videos. However, SVQA has a...
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Chapter and Conference Paper
Facial Action Unit Detection by Exploring the Weak Relationships Between AU Labels
In recent years, facial action unit (AU) detection attracts more and more attentions and great progress has been made. However, few approaches solve AU detection problem by applying the emotion information, an...
