230 Result(s)
within
**hu Li
Artificial Intelligence
Computer Applications
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Article
Open AccessA method for visualizing urban road events using distributed acoustic sensing
This study presents the construction of an urban underground sensing system using distributed acoustic sensing (DAS) technology, which utilizes the existing optical fiber infrastructure around urban roads for ...
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Article
Open AccessImage-based machine learning approach for structural damage detection through wavelet transforms
Structural integrity is essential for safety in infrastructure, as it can help prevent catastrophic failures and financial losses. The significance of vibration-based damage detection has grown substantially i...
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Chapter and Conference Paper
Correction to: A Survey of Control Flow Graph Recovery for Binary Code
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Article
Open AccessResearch and development of indoor positioning technology based on visible light communication
Indoor and underground space positioning and navigation systems are important infrastructure for urban lifeline construction. With the development of 5G communication technology, artificial intelligence, intel...
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Article
Open AccessArchitecture design of a vehicle–road-cloud collaborative automated driving system
Transportation systems serve as a crucial foundation for maintaining the normal operation of cities and satisfying the requirements of public life. With the development of next-generation information technolog...
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Article
Open AccessRecent advances and applications towards intelligent operation and maintenance of urban pipeline networks
As typical lifeline engineering systems, urban pipeline networks (UPNs) play an important role in transmission and distribution of materials or energies in modern society. Over the past years, many efforts hav...
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Article
Open AccessDeterminants of digital twin adoption in hospital operation management
The hospital is one of the commercial buildings with the most complex and challenging operational management stage, and digital twin has been an important tool to improve the efficiency and quality of hospital...
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Article
Open AccessMechanical behavior of PCCPs with broken wires under complex service conditions
Buried prestressed concrete cylinder pipes (PCCPs) are subjected to the combined effects of soil cover loads, internal water pressure, and additional loads. However, there is scarce research on their mechanica...
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Article
Open AccessSlope susceptibility map for preventive measures against rainfall-induced slope failure
Rainfall-induced slope failures frequently occurs in many urban areas around the world especially due to the impact of the global warming. Some slope failures result in casualties that have negative impacts on...
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Chapter and Conference Paper
Correction to: Recognizing Cognitive Load by a Hybrid Spatio-Temporal Causal Model from Multivariate Physiological Data
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Chapter
Reconstruction of pCO \(_{2}\) Data in the Southern Ocean Based on Feedforward Neural Network
The Southern Ocean accounts for 20% of the world’s ocean and nearly 40% of the global ocean’s total carbon sink, effectively reducing the impacts of anthropogenic carbon dioxide emissions. Due to the scarcity ...
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Chapter
Detection and Analysis of Marine Green Algae Based on Artificial Intelligence
This chapter developed a deep-learning (DL) model for floating U. prolifera detection in the Yellow Sea based on the U-Net framework with overfitting prevention. Based on the 1,055/4,071 pairs of labelled samples...
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Chapter
Textual Paraphrase Dataset for Deep Language Modelling
The Turku Paraphrase Corpus is a dataset of over 100,000 Finnish paraphrase pairs. During the corpus creation, we strived to gather challenging paraphrase pairs, more suitable to test the capabilities of natur...
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Chapter
Automatic Waterline Extraction of Large-Scale Tidal Flats from SAR Images Based on Deep Convolutional Neural Networks
Extraction of the waterline in synthetic aperture radar (SAR) images, especially for the intertidal zones, is difficult to employ simple image processing operations such as grey-value thresholding due to speck...
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Chapter
Forecasting Tropical Instability Waves Based on Artificial Intelligence
The trend of quickly increasing volumes of satellite remote sensing big data and the successful application of deep learning (DL) technology to many research fields inspire us to develop a deep neural network-...
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Chapter
Deep Convolutional Neural Networks-Based Coastal Inundation Map** from SAR Imagery: with One Application Case for Bangladesh, a UN-defined Least Developed Country
We developed the synthetic aperture radar (SAR) coastal flooding map** network (SARCFMNet) based on deep convolution neural networks (DCNN) to extract coastal inundation from multi-temporal and dual-polarime...
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Chapter
Satellite Data-Driven Internal Solitary Wave Forecast Based on Machine Learning Techniques
Internal solitary wave (ISW) has a great influence on marine engineering, navigation, and environment, etc. The forecast of ISWs calls for an urgent demand yet with little progress in recent years. Numerical s...
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Chapter
Extracting Ship’s Size from SAR Images by Deep Learning
We propose a model to straight extract ship size from Synthetic Aperture Radar (SAR) images. The model is named as SSENet. The SSENet uses a Single-Shot-MultiBox-Detector-based model to produce a ship’s rotati...
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Chapter
Tropical Cyclone Monitoring Based on Geostationary Satellite Imagery
Due to the devastating wind, heavy floods, and coastal inundation from storm surges, tropical cyclones (TC) can cause significant damage to human lives and property. Forecasters and emergency responders both r...
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Chapter and Conference Paper
The Effect of Misinformation Intervention: Evidence from Trump’s Tweets and the 2020 Election
In this study, we examine the effect of actions of misinformation mitigation. We use three datasets that contain a wide range of misinformation stories during the 2020 election, and we use synthetic controls t...
