Results 251 to 260 of about 1,772,398 (306)

An EMD-SVR model for short-term prediction of ship motion using mirror symmetry and SVR algorithms to eliminate EMD boundary effect

, 2020
Short-term prediction technology has a vital role in improving the efficacy and safety of several offshore operations. Motivated by nonlinear learning ability of support vector regression model (SVR model) and non-stationary data processing ability of ...
Zhihong Nie, F. Shen, Dingjie Xu, Qinhua Li   +3 more
semanticscholar   +1 more source

Are Prices Predictable in the Short Term?

SSRN Electronic Journal, 2015
Standard financial models assume that capital markets are fully efficient, which makes asset prices unforecastable. In contrast, the behavioral finance argues that markets may not be efficient, at least in the short term, given the limits to arbitrage. Combining both strands of literature, our paper provides evidence to suggest that multiple states of ...
openaire   +1 more source

Short-term prediction of safety and operation impacts of lane changes in oscillations with empirical vehicle trajectories.

Accident Analysis and Prevention, 2019
Lane changes made during traffic oscillations on freeways largely affect traffic safety and could increase collision potentials. Predicting the impacts of lane change can help to develop optimal lane change strategies of autonomous vehicles for safety ...
M. Li, Zhibin Li, Chengcheng Xu, Tong Liu   +3 more
semanticscholar   +1 more source

Short-Term Traffic Prediction Using Long Short-Term Memory Neural Networks

2018 IEEE International Congress on Big Data (BigData Congress), 2018
Short-term traffic prediction allows Intelligent Transport Systems to proactively respond to events before they happen. With the rapid increase in the amount, quality, and detail of traffic data, new techniques are required that can exploit the information in the data in order to provide better results while being able to scale and cope with increasing
Zainab Abbas, Ahmad Al-Shishtawy, Sarunas Girdzijauskas, Vladimir Vlassov   +3 more
openaire   +1 more source

Renewable energy prediction: A novel short-term prediction model of photovoltaic output power

Journal of Cleaner Production, 2019
Photovoltaic power generation is gradually developing into a massive power industry with the maturity of renewable energy power generation technologies.
Ling-ling Li, Shi-Yu Wen, M. Tseng, Cheng-shan Wang   +3 more
semanticscholar   +1 more source

Neural Short-Term Prediction Based on Dynamics Reconstruction

Neural Processing Letters, 1999
In this paper we present an application of dynamics reconstruction techniques to model order estimation. Both the Grassberger–Procaccia and the Takens‘ method were applied, yielding similar values for the correlation dimension, hence for the model order.
CAMASTRA, Francesco, COLLA A. M.
openaire   +2 more sources

An Aggregation Approach to Short-Term Traffic Flow Prediction

IEEE Transactions on Intelligent Transportation Systems, 2009
In this paper, an aggregation approach is proposed for traffic flow prediction that is based on the moving average (MA), exponential smoothing (ES), autoregressive MA (ARIMA), and neural network (NN) models. The aggregation approach assembles information from relevant time series. The source time series is the traffic flow volume that is collected 24 h/
Man-Chun Tan, Sze Chun Wong, Jian-Min Xu, Zhan-Rong Guan, Peng Zhang 0014   +4 more
openaire   +3 more sources

Short-Term Traffic Prediction

Traffic prediction accuracy is pivotal for fruitful urban transportation management. Existing methodologies often struggle to record complex spatio-temporal features of traffic patterns, which results in sub-optimal congestion management. This approach integrates Bayesian inference with a graph attention network (GAN) and a SARIMA model to ...
S. Jothishwar, Visnu Dharsini S., S. Dinesh, K. Jayasurya   +3 more
openaire   +1 more source

Imminent Suicide: The Illusion of Short‐Term Prediction

Suicide and Life-Threatening Behavior, 2006
The concept of imminent suicide is examined. A search of National Electronic Library for Mental Health, the Cochrane Library, PubMed, OVID and MD Consult databases was conducted using the terms “suicide, imminent.” The termimminentfrequently appears in the mental health literature, finding common usage among clinicians.
openaire   +2 more sources

Short Term Stock Prediction Using SOM

2009
In this paper, we propose a stock movement prediction model using self organization map. The correlation is adapted to select inputs from technical indexes. The self-organization map is utilized to make decision of stock selling or buying. The proposed model is tested on the Microsoft and General Electric.
Prompong Sugunsil, Samerkae Somhom
openaire   +1 more source