Testing deep learning-based systems is crucial but challenging due to th...
This work shows that depression changes the correlation between features...
To provide real-time parking information, existing studies focus on
pred...
Effective traffic control methods have great potential in alleviating ne...
Background: Quantitative prediction of the adolescents' spherical equiva...
Finding a happiness maximizing set (HMS) from a database, i.e., selectin...
Curb space is one of the busiest areas in urban road networks. Especiall...
Deep Neural Networks (DNNs) have gained considerable attention in the pa...
Accurate short-term traffic prediction plays a pivotal role in various s...
Accurate real-time traffic forecast is critical for intelligent
transpor...
Code embedding is a keystone in the application of machine learning on
s...
The rapid advancements of Internet of Things (IoT) and artificial
intell...
Accurate traffic state information plays a pivotal role in the Intellige...
Urban rail transit (URT) system plays a dominating role in many megaciti...
Smart traffic control and management become an emerging application for ...
Real-time traffic prediction models play a pivotal role in smart mobilit...
Assisting end users to identify desired results from a large dataset is ...
We consider the problem of estimating and inferring treatment effects in...
We propose a method of visual SLAM by predicting and updating line flows...
Linear regression is arguably the most fundamental statistical model;
ho...
Current status data abounds in the field of epidemiology and public heal...
Matrix completion is often applied to data with entries missing not at r...
The last decades have witnessed the breakthrough of autonomous vehicles
...
Testing of deep learning models is challenging due to the excessive numb...
Transportation networks are unprecedentedly complex with heterogeneous
v...
Recent transportation network studies on uncertainty and reliability cal...
Dynamic origin-destination (OD) demand is central to transportation syst...
A deep learning model is proposed for predicting block-level parking
occ...
Small and marginal farmers, who account for over 80
population, often se...
Covariate-adjusted randomization procedure is frequently used in compara...
The paper presents a Traffic Sign Recognition (TSR) system, which can fa...
It is often the case that the performance of a neural network can be imp...
To phased microphone array for sound source localization, algorithm with...
This article demonstrates that convolutional operation can be converted ...
Phased microphone arrays are used widely in the applications for acousti...