Results 21 to 30 of about 99,827 (273)
Predicting financial market crashes using ghost singularities [PDF]
PLOS ONE, 2017 ISSN:1932 ...
Damian Smug +2 more
openaire +6 more sources
Modeling the accuracy of traffic crash prediction models
IATSS Research, 2022 Crash forecasting enables safety planners to take appropriate actions before casualty or loss occurs. Identifying and analyzing the attributes influencing forecasting accuracy is of great importance in road crash forecasting. This study aims to model the
Mohammad Hesam Rashidi +4 more
doaj +1 more source
Predicting emerging market currency crashes
Journal of Empirical Finance, 2002 This paper assesses the extent to which crashes in emerging market currencies are predictable using simple logit models based on lagged macroeconomic and financial data. To evaluate our model, we calculate trading strategies in which an investor goes long or short in the currency depending on whether crash probabilities are low or high.
W. R. M. Perraudin +2 more
openaire +2 more sources
Predicting Road Crash Severity Using Classifier Models and Crash Hotspots
Applied Sciences, 2022 The rapid increase in traffic volume on urban roads, over time, has altered the global traffic scenario. Additionally, it has increased the number of road crashes, some of which are severe and fatal in nature. The identification of hazardous roadway sections using the spatial pattern analysis of crashes and recognition of the primary and contributing ...
Md. Kamrul Islam +5 more
openaire +2 more sources
Applied Sciences, 2023 As a result of the increasing use of artificial intelligence technology in transportation, numerous real-time crash prediction techniques have been developed.
Sheng-Chih Ho +3 more
doaj +1 more source
Methodology for development of drought Severity-Duration-Frequency (SDF) Curves [PDF]
, 2014 Drought monitoring and early warning are essential elements impacting drought sensitive sectors such as primary production, industrial and consumptive water users.
Abdul Jamil, Muhammad Mahadi +4 more
core +2 more sources
International Journal of Automotive Engineering, 2013 Injury prediction based on data from event data recorder in automatic collision notification is expected to reduce trauma deaths. Known to affect on injury, the crash pattern is required to be classified to accurately predict injury.
Maika Katagiri +7 more
doaj +1 more source
Analyzing Traffic Crash Severity With Combination of Information Entropy and Bayesian Network
IEEE Access, 2019 The analysis of severity causality for traffic crash is essential for enhancing the crash rescue responding speed, thereby reducing the casualties and property losses caused by roadway crashes.
Fang Zong +4 more
doaj +1 more source
Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data
International Journal of Transportation Science and Technology, 2023 The rapid growth in data collection, storage, and transformation technologies offered new approaches that can be effectively utilized to improve traffic crash prediction.
Mohammad Tamim Kashifi +2 more
doaj +1 more source
Empirical properties of the variety of a financial portfolio and the single-index model [PDF]
, 2000 We investigate the variety of a portfolio of stocks in normal and extreme days of market activity. We show that the variety carries information about the market activity which is not present in the single-index model and we observe that the variety time ...
Lillo, Fabrizio, Mantegna, Rosario N.
core +1 more source