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View article: SAFE: Harnessing LLM for Scenario-Driven ADS Testing from Multimodal Crash Data
SAFE: Harnessing LLM for Scenario-Driven ADS Testing from Multimodal Crash Data Open
Ensuring the safety of Autonomous Driving Systems (ADS) requires realistic and reproducible test scenarios, yet extracting such scenarios from multimodal crash reports remains a major challenge. Large Language Models (LLMs) often hallucina…
View article: Towards Interactive Deepfake Analysis
Towards Interactive Deepfake Analysis Open
Existing deepfake analysis methods are primarily based on discriminative models, which significantly limit their application scenarios. This paper aims to explore interactive deepfake analysis by performing instruction tuning on multi-moda…
View article: SPATIAL INTERACTION ANALYSIS OF URBAN FUNCTIONAL DISTRICTS BASED ON TAXI TRAJECTORIES
SPATIAL INTERACTION ANALYSIS OF URBAN FUNCTIONAL DISTRICTS BASED ON TAXI TRAJECTORIES Open
The functional differences among various components of a city drive the circulation of logistics, human flows, and energy flows within the city. Qualitatively and quantitatively analyzing the spatial interactions among urban functional dis…
View article: The spatial pattern and influence mechanism of urban vitality: A case study of Changsha, China
The spatial pattern and influence mechanism of urban vitality: A case study of Changsha, China Open
In the new era, the vitality of urban space is an important engine of urban development, and the improvement of urban space vitality is the core component of urban spatial structure optimization and space renewal. However, the availability…
View article: The Nonlinear Field Equation of the Three-point Correlation Function of Galaxies: to the Second Order of Density Perturbation
The Nonlinear Field Equation of the Three-point Correlation Function of Galaxies: to the Second Order of Density Perturbation Open
Based on the field theory of density fluctuation under Newtonian gravity, we obtain analytically the nonlinear equation of 3-pt correlation function ζ of galaxies in a homogeneous, isotropic, static universe. The density fluctuation has be…
View article: Transit Stations: Sub-centers in Rotterdam Zuid
Transit Stations: Sub-centers in Rotterdam Zuid Open
The book is the result of the course 'City of Innovations Project' at TU Delft Faculty of Architecture and the Built Environment, led by the group of Complex Projects at the Department of Architecture. 'Transit stations: sub-centres in Rot…
View article: ActivityNET: Neural networks to predict public transport trip purposes from individual smart card data and POIs
ActivityNET: Neural networks to predict public transport trip purposes from individual smart card data and POIs Open
Predicting trip purpose from comprehensive and continuous smart card data is beneficial for transport and city planners in investigating travel behaviors and urban mobility. Here, we propose a framework, ActivityNET, using Machine Learning…
View article: Evaluation of the Impact of Heat-Wave on Distribution System Resilience
Evaluation of the Impact of Heat-Wave on Distribution System Resilience Open
This paper presents the findings about the impact of heat waves on a real urban distribution system. A data-driven methodology is proposed to simulate the portion of faults that can be associated to normal conditions (and hence to reliabil…
View article: The survivability analysis and layout optimization of CODOG power system
The survivability analysis and layout optimization of CODOG power system Open
The purpose of this paper is to discuss the calculation of the survivability of the CODOG power system in different layouts under the condition that the ship is hit by the simulation technology. In this paper, the impact of the weapon’s hi…
View article: ActivityNET: Neural Networks to Predict Trip Purposes in Public Transport from Individual Smart Card Data and POIs.
ActivityNET: Neural Networks to Predict Trip Purposes in Public Transport from Individual Smart Card Data and POIs. Open
Predicting trip purpose from comprehensive and continuous smart card data is beneficial for transport and city planners investigating travel behaviours, and mobility research in urban areas. Here we propose a framework, ActivityNET, using …
View article: Legal Completion in Global Climate Governance
Legal Completion in Global Climate Governance Open
Global warming brings extreme climate, triggers forest fire and water resources scarcity and more natural disaster, threats the survival and development of human and other global organisms seriously, and causes each country to realize the …
View article: Nonlinear Dynamic Analysis of Rotor‐Bearing System with Cubic Nonlinearity
Nonlinear Dynamic Analysis of Rotor‐Bearing System with Cubic Nonlinearity Open
Nonlinear dynamic characteristics of a rotor‐bearing system with cubic nonlinearity are investigated. The comprehensive effects of the unbalanced excitation, the internal clearance, the nonlinear Hertzian contact force, the varying complia…
View article: A method for detecting weak signals using chaotic systems based on multiple correlation and phase-locked loop
A method for detecting weak signals using chaotic systems based on multiple correlation and phase-locked loop Open
In order to improve the detection ability of chaotic system to detect weak periodic signal frequency, phase and amplitude, a chaotic system based on multiple correlation and phase-locked loop is established. Firstly, the signal to be measu…
View article: Semantic enrichment of secondary activities using smart card data and point of interests: a case study in London
Semantic enrichment of secondary activities using smart card data and point of interests: a case study in London Open
The large volume of data automatically collected by smart card fare systems offers a rich source of information regarding daily human activities with a high resolution of spatial and temporal representation. This provides an opportunity fo…
View article: Long-Wave Signal Detection Method Based on Limit Threshold Chaotic Oscillator
Long-Wave Signal Detection Method Based on Limit Threshold Chaotic Oscillator Open
The transmission of long-wave signal in lightning is easily weakened to a very low amplitude, and affected by non-stationary time-varying strong noise, which makes the detection signal become extremely difficult, and it is difficult to ach…
View article: Mapping Urban Spatial Structure Based on POI (Point of Interest) Data: A Case Study of the Central City of Lanzhou, China
Mapping Urban Spatial Structure Based on POI (Point of Interest) Data: A Case Study of the Central City of Lanzhou, China Open
The study of urban spatial structure is currently one of the most popular research fields in urban geography. This study uses Lanzhou, one of the major cities in Northwest China, as a case area. Using the industry classification of POI dat…
View article: Median Filtering Detection Based on Quaternion Convolutional Neural Network
Median Filtering Detection Based on Quaternion Convolutional Neural Network Open
Median filtering is a nonlinear signal processing technique and has an advantage in the field of image anti-forensics. Therefore, more attention has been paid to the forensics research of median filtering. In this paper, ... | Find, read a…
View article: A Deep Cross-Modality Hashing Network for SAR and Optical Remote Sensing Images Retrieval
A Deep Cross-Modality Hashing Network for SAR and Optical Remote Sensing Images Retrieval Open
The content-based remote sensing image retrieval (CBRSIR) has recently become a hot topic due to its wide applications in analysis of remote sensing data. However, since conventional CBRSIR is unsuitable in harsh environments, this article…
View article: EXPLORING THE RELATIONSHIP BETWEEN TRAVEL PATTERN AND SOCIAL-DEMOGRAPHICS USING SMART CARD DATA AND HOUSEHOLD SURVEY
EXPLORING THE RELATIONSHIP BETWEEN TRAVEL PATTERN AND SOCIAL-DEMOGRAPHICS USING SMART CARD DATA AND HOUSEHOLD SURVEY Open
Understanding social-demographics of passengers in public transit systems is significant for transportation operators and city planners in many real applications, such as forecasting travel demand and providing personalised transportation …
View article: Correction: Acoustic Liner Drag Measurements
Correction: Acoustic Liner Drag Measurements Open
Correction Notice1.In section II.E, "200D downstream" changed to "200d downstream" 2. Figure 4.
View article: A Deep Learning Approach to Infer Employment Status of Passengers by Using Smart Card Data
A Deep Learning Approach to Infer Employment Status of Passengers by Using Smart Card Data Open
Understanding the employment status of passengers in public transit systems is significant for transport operators in many real applications such as forecasting travel demand and providing personalized transportation service. This paper de…
View article: Trip purpose identification using pairwise constraints based semi-supervised clustering
Trip purpose identification using pairwise constraints based semi-supervised clustering Open
Clustering of smart card data captured by automated fare collection (AFC) systems has traditionally
been viewed as an unsupervised method. However,some additional information about human behaviour
is available in addition to the smart ca…
View article: Dynamic Pricing for Revenue Maximization in Mobile Social Data Market with Network Effects
Dynamic Pricing for Revenue Maximization in Mobile Social Data Market with Network Effects Open
Mobile data demand is increasing tremendously in wireless social networks, and thus an efficient pricing scheme for social-enabled services is urgently needed. Though static pricing is dominant in the actual data market, price intuitively …
View article: Inferring Social-Demographics of Travellers based on Smart Card Data
Inferring Social-Demographics of Travellers based on Smart Card Data Open
[EN] With the wide application of the smart card technology in public transit
\nsystem, traveller’s daily travel behaviours can be possibly obtained. This
\nstudy devotes to investigating the pattern of individual mobility patterns and
\ni…
View article: Mapping landslide susceptibility and types using Random Forest
Mapping landslide susceptibility and types using Random Forest Open
Landslides are one of the most destructive natural hazards; they can drastically alter landscape morphology, destroy man-made structures, and endanger people’s life. Landslide susceptibility maps (LSMs), which show the spatial likelihood o…
View article: How Leisure Venues Are and Why? A Geospatial Perspective in Wuhan, Central China
How Leisure Venues Are and Why? A Geospatial Perspective in Wuhan, Central China Open
Urban leisure venues proffer spatial carriers for citizens’ leisure activities and their functions rely heavily on the spatial configuration, which have largely been ignored. The increasing needs for healthy leisure life and the availabili…
View article: Using reliability analysis to support decision making in phased mission systems
Using reliability analysis to support decision making in phased mission systems Open
Because of the environments in which they will operate, future autonomous systems must be capable of reconfiguring quickly and safely following faults or environmental changes. Past research has shown how, by considering autonomous systems…
View article: GeantV: from CPU to accelerators
GeantV: from CPU to accelerators Open
The GeantV project aims to research and develop the next generation simulation software describing the passage of particles through matter, targeting not only modern CPU architectures, but also more exotic resources such as GPGPU, Inte.