Browsing by Title
Now showing items 4056-4075 of 5784
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Predicting the performance of pressure-swirl atomizers
(Begell House Inc., 2018)The purpose of this study is to evaluate the semiempirical correlations that are found in the literature by comparing them with all of the applicable experimental data that are also taken from the literature. Presentation ... -
Predicting the performance of queues–A data analytic approach
(Elsevier, 2016)Existing models of multi-server queues with system transience and non-standard assumptions are either too complex or restricted in their assumptions to be used broadly in practice. This paper proposes using data analytics, ... -
Predicting the risky encounters without distance knowledge between the ships via machine learning algorithms
(Elsevier, 2023-07-01)As the maritime traffic is getting denser, the number of encounters is increasing. The aim of this study is to develop a prediction model to classify encounters as risky or non-risky when two ships encounter in a certain ... -
Prediction algorithm & learner selection for European day-ahead electricity prices
(IEEE, 2020-10)The prediction of day-ahead electricity prices with higher accuracy is always helpful for the market players of the power exchange. This study was intended in the first place to find out the best time series prediction ... -
Prediction of active UE number with Bayesian neural networks for self-organizing LTE networks
(IEEE, 2017-01-01)Internet-empowered electronic gadgets and content rich multimedia applications have expanded exponentially in recent years. As a consequence, heterogeneous network structures introduced with Long Term Evolution (LTE) ... -
A predictive multistage postdisaster damage assessment framework for drone routing
(Wiley, 2024-01)This study focuses on postdisaster damage assessment operations supported by a set of drones. We propose a multistage framework, consisting of two phases applied iteratively to rapidly gather damage information within an ... -
Predictor analysis for electricity price forecasting by multiple linear regression
(IEEE, 2020)This paper examines the multiple linear regression method on electricity price forecasting. Numerous predictors are analyzed to reduce the mean absolute percentage error. The training data includes the dates from September ... -
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Preface
(2011) -
Preface
(Springer International Publishing, 2016)The pervasiveness of open systems raises a range of challenges and opportunities for research and technological development in the area of autonomous agents and multi-agent systems. Open systems comprise loosely coupled ... -
Preface
(Springer Science+Business Media, 2015) -
Preface
(Springer International Publishing, 2011-09)Developments in the field of wireless communications continue at an unabated pace. During the previous decade starting in the early 1990s, we have seen the introduction and mass market adoption of many different types of ... -
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Preface to the second decade
(Springer Science+Business Media, 2013-02) -
Preface: 13th cologne-twente workshop on graphs and combinatorial optimization (CTW 2015)
(Elsevier, 2019-01-10)N/A -
Preferences for lottery stocks at Borsa Istanbul
(Elsevier, 2018-07)We investigate the existence of lottery-like preferences of investors at Borsa Istanbul. Proxying these preferences with demand for stocks with extreme positive returns (“MAX”), we establish that high-MAX stocks’ significantly ...
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