long-term performance prediction
Prediction of prestressing losses for long term operation of nuclear reactor buildings
... Compared to more traditional management methods, risk-based management enables owners to take into account their own stakes such as safety, costs (available budget), availability, respect of the environment, security, ...
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Nonparametric long term prediction of stock returns with generated bond yields
... for long term pension ...improve long term performance for such ...the prediction of excess stock returns. Here, we take the actuarial long term view using yearly ...
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The Research of Low Earth Orbit Prediction of Satellite Based on Deep Neural Network
... the performance of deep neural network in satellite orbit prediction, the long short-term memory neural network prediction is carried out based on the actual data of X, Y and Z ...
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Predictive algorithms in the management of computer systems
... of prediction are im- portant factors in deciding which predictive algo- rithm to ...(1) long-term prediction of performance var- iables ...short-term prediction of system ...
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Distress Identification, Cost Analysis and Pavement Temperature Prediction for the Long-Term Pavement Performance for Western Australia
... 10-year Term Network Contracts (TNCs) were established to provide road maintenance and rehabilitation services on the State road system and for regulatory signs and road lines on local ...
9
Early prediction of long-term tactile object recognition performance after sensorimotor stroke.
... MVPA prediction map described above deter- mined four key cortical areas predicting TOR performance over nine ...Specific prediction maps such as ours could elucidate syndromes re- ported until now ...
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Improving Long Term Stock Market Prediction with Text Analysis
... stock performance is well studied with clear monetary motivations for those wishing to ...stock performance pre- diction has already been done, and multiple existing results have shown that data derived ...
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Stock Price Prediction using Long Short Term Memory
... The stock market is a vast array of investors and traders who buy and sell stock, pushing the price up or down. The prices of stocks are governed by the principles of demand and supply, and the ultimate goal of buying ...
7
Stock Prediction with Random Forests and Long Short-term Memory
... There have been many researchers who have tried to apply machine learning techniques to problems in the financial domain. The use of soft computing techniques such as Neural Networks without getting into complex ...
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TRANSPORTATION & DEVELOPMENT INSTITUTE (T&DI) of THE AMERICAN SOCIETY OF CIVIL ENGINEERS (ASCE) and LONG-TERM PAVEMENT PERFORMANCE (LTPP)
... pavement performance due to various design variables, such as traffic, environment, materials, construction quality, and maintenance ...better performance prediction models for use in design and ...
13
Diagnosis prediction from electronic health records (EHR) using the binary diagnosis history vector representation
... outstanding performance of our method in predicting the type of the next diagnosis given the patient’s current medical history, we next con- sidered how the proposed model performs in long-term ...of ...
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Fuzzy Expert System Applied in Hiring Ratings and Long Term Job Performance Prediction
... short term or long term performance candidate, companies have cho- sen a professional profile based on their size and their turnover ...“how long employees tend to ...
17
An intelligent recommender system based on short-term disease risk prediction for patients with chronic diseases in a telehealth environment
... Most healthcare organizations, such as hospitals and medical centers, generate huge volumes of data in the form of text, numbers, charts and images. Clinical decisions are usually made based on practitioners’ ...
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Forecasting and big data analysis
... • Morphing of model output approach of the long term time series prediction with the very short term prediction (e.g. predictions made by short term time series forecasting, by demand [r] ...
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Evaluation of a cavity ring-down spectrometer for in situ observations of 13 CO 2
... target measurements and to 20 min intervals for the ambi- ent air, calibration, long-term target and auxiliary measure- ments. Each sample switching triggers a flag that invali- dates the first 3 min of ...
8
Prediction of long-term groundwater recharge by using hydropedotransfer functions
... Bagrov method predicted long-term averages of actual evapotrans- piration and groundwater recharge with a standard error of 15 mm year -1 (R = 0.96). Under dry climatic conditions and groundwater influence, ...
7
Day of the Week Effect, Initial Returns, and Long-term Market Performance of Initial Public Offerings in the Indonesian Capital Market
... Research data were obtained from various sources. IPO issuers for the period 2006 to 2013 obtained from the Indonesia Stock Exchange. Financial information prior to the IPO (such as firm’s assets, age, and sales) was ...
18
Long Term Performance Of Mergers & Acquisitions In India
... It is recognised that this research study has various restrictions; so, the outcomes may not give a thorough picture in understanding the long-term performance M&As. So mainly, organisations ...
5
Heterogeneous redundancy in software quality prediction using a hybrid Bayesian approach
... quality prediction ap- proaches and identified coupling ...the prediction performance reaches a certain ...individual prediction methods separately and combining their ...their ...
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Traffic speed prediction using big data enabled deep learning
... relative long-term ...speed prediction is less accurate than volume during peak ...the prediction of travel time (You and Kim, ...good prediction in flow and occupancy, but it did not ...
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