Results 31 to 40 of about 82,495 (263)
Safe Learning of Quadrotor Dynamics Using Barrier Certificates
, 2017 To effectively control complex dynamical systems, accurate nonlinear models are typically needed. However, these models are not always known. In this paper, we present a data-driven approach based on Gaussian processes that learns models of quadrotors ...
Egerstedt, Magnus +2 more
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Promet (Zagreb), 2012 This paper compares two fuzzy clustering algorithms – fuzzy subtractive clustering and fuzzy C-means clustering – to a multi-layer perceptron neural network for their ability to predict the severity of crash injuries and to estimate the response time on ...
Iman Aghayan +2 more
doaj +1 more source
, 2000 The Nasdaq Composite fell another $\approx 10 %$ on Friday the 14'th of April 2000 signaling the end of a remarkable speculative high-tech bubble starting in spring 1997. The closing of the Nasdaq Composite at 3321 corresponds to a total loss of over 35%
Johansen, Anders, Sornette, Didier
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Testing for financial crashes using the Log Periodic Power Law mode [PDF]
, 2013 A number of papers claim that a Log Periodic Power Law (LPPL) fitted to financial market bubbles that precede large market falls or 'crashes', contain parameters that are confined within certain ranges.
Bree, David S., Joseph, Nathan Lael
core +2 more sources
Entropy, 2022 Stock-market-crash predictability is of particular interest in the field of financial time-series analysis. Famous examples of major stock-market crashes are the real-estate bubble in 2008 and COVID-19 in 2020. Several studies have studied the prediction
Heba Elsegai
doaj +1 more source
Real‐time freeway sideswipe crash prediction by support vector machine
IET Intelligent Transport Systems, 2013 This study presents the applications of a pattern classifier named support vector machine (SVM) in predicting freeway sideswipe crash potential. Historical loop detector data for sideswipe crashes and corresponding non‐crash cases were collected from Interstate‐894 in the Milwaukee, Wisconsin, USA.
Xu Qu, Wei Wang, Wenfu Wang, Pan Liu
openaire +1 more source
International Journal of Transportation Science and TechnologyIn traffic safety management, identifying high-risk areas prone to traffic crashes is crucial. Road authorities focus on these high-risk segments to implement strategies that mitigate the impact of recurring crashes.
Donghyoek Park +4 more
doaj +1 more source
Robustness of Bio-Inspired Visual Systems for Collision Prediction in Critical Robot Traffic
Frontiers in Robotics and AI, 2021 Collision prevention sets a major research and development obstacle for intelligent robots and vehicles. This paper investigates the robustness of two state-of-the-art neural network models inspired by the locust’s LGMD-1 and LGMD-2 visual pathways as ...
Qinbing Fu +6 more
doaj +1 more source
Traffic event detection framework using social media [PDF]
, 2017 This is an accepted manuscript of an article published by IEEE in 2017 IEEE International Conference on Smart Grid and Smart Cities (ICSGSC) on 18/09/2017, available online: https://ieeexplore.ieee.org/document/8038595 The accepted version of the ...
Ammari, A +4 more
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Implementation and Evaluation of a Cooperative Vehicle-to-Pedestrian Safety Application
, 2017 While the development of Vehicle-to-Vehicle (V2V) safety applications based on Dedicated Short-Range Communications (DSRC) has been extensively undergoing standardization for more than a decade, such applications are extremely missing for Vulnerable Road
Abuchaar, Oubada +4 more
core +1 more source