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Application-based scheduling for indoor femtocell networks
(2013-01)This thesis is concerned with designing a QoS-enabled, application-based scheduler for indoor femtocell networks. For this purpose, a novel scheduler is proposed which takes into account the quality of service (QoS) ... -
Applications of time-series methods in electricity price forecasting
(2021-01-18)The prediction of day-ahead electricity prices with higher accuracy is always helpful for the market players of the power exchange. Models were designed in the first place to find out the best time-series estimation method ... -
Applying deep learning models to twitter data to detect airport service quality
(Elsevier, 2021-03)Measuring airport service quality (ASQ) is an important process for identifying shortages and suggesting improvements that guide management decisions. This research, introduces a general framework for measuring ASQ using ... -
Applying migrating birds optimization to credit card fraud detection
(Springer Science+Business Media, 2013)We discuss how the Migrating Birds Optimization algorithm (MBO) is applied to statistical credit card fraud detection problem. MBO is a recently proposed metaheuristic algorithm which is inspired by the V flight formation ... -
The appreciative democratic voice of DEA: a case of faculty academic performance evaluation
(Elsevier, 2014-03)Data envelopment analysis (DEA) is in fact more than just being an instrument for measuring the relative efficiencies of a group of decision making units (DMU). DEA models are also means of expressing appreciative democratic ... -
An approach for building information modeling and simulation integrated look-ahead planning
(2018-01)Look-ahead planning has a key role for construction management as an intermediary between master schedules and site production. Its effective implementation can improve construction management and production control for a ... -
An approach for detecting inconsistencies between behavioral models of the software architecture and the code
(IEEE, 2012)In practice, inconsistencies between architectural documentation and the code might arise due to improper implementation of the architecture or the separate, uncontrolled evolution of the code. Several approaches have been ... -
An approach for predicting employee churn by using data mining
(IEEE, 2017)Employee churn prediction which is closely related to customer churn prediction is a major issue of the companies. Despite the importance of the issue, there is few attention in the literature about. In this study, we ... -
An approach for the design of smart tools and environments based on networked experiences
(IEEE, 2015)Fast improvements in information communication technologies and demanding market conditions trigger the development of most digital services and products, which have been discussed for their adverse effects on their users ... -
An approach to nonlinear viscoelasticity via metric gradient flows
(SIAM, 2014)We formulate quasistatic nonlinear finite-strain viscoelasticity of rate type as a gradient system. Our focus is on nonlinear dissipation functionals and distances that are related to metrics on weak diffeomorphisms and ... -
Approximate markov-nash equilibria for discrete-time risk-sensitive mean-field games
(Informs, 2020-11)In this paper, we study a class of discrete-time mean-field games under the infinite-horizon risk-sensitive optimality criterion. Risk sensitivity is introduced for each agent (player) via an exponential utility function. ... -
Approximate nash equilibria in partially observed stochastic games with mean-field interactions
(Informs, 2019-08)Establishing the existence of Nash equilibria for partially observed stochastic dynamic games is known to be quite challenging, with the difficulties stemming from the noisy nature of the measurements available to individual ... -
Approximating vehicle dispatch probabilities for emergency service systems with location-specific service times and multiple units per location
(Informs, 2009-02)To calculate many of the important performance measures for an emergency response system, one requires knowledge of the probability that a particular server will respond to an incoming call at a particular location. ... -
Approximation algorithms for single machine scheduling with one unavailability period
(Springer Nature, 2009-03)In this paper, we investigate the single machine scheduling problem with release dates and tails and a planned unavailability time period. We show that the problem admits a fully polynomial-time approximation scheme when ... -
Approximation by special values of Dirichlet series
(American Mathematical Society, 2020)The classification of the irreducible unitary representations of the stabilizer of the horocycles of a homogeneous tree of finite degree is well-known. In this article we use these stabilizers to form an Olshanski pair and ... -
An approximation of stochastic hyperbolic equations: case with Wiener process
(Wiley, 2013-06)In the present paper, the two-step difference scheme for the Cauchy problem for the stochastic hyperbolic equation is presented. The convergence estimate for the solution of the difference scheme is established. In ... -
An approximation of stochastic telegraph equations
(AIP Publishing, 2012)In the present paper the two-step difference scheme for the telegraph equation is presented. The convergence estimate for the solution of the difference scheme is established. In applications, the convergence estimates for ... -
Approximations for constrained Markov decision problems
(Springer, 2018)This chapter studies the finite-state approximation of a discrete-time constrained Markov decision process with compact state space, under the discounted and average cost criteria. Using the linear programming formulation ... -
Approximations for partially observed Markov decision processes
(Birkhäuser Basel, 2018)This chapter studies the finite-model approximation of discrete-time partially observed Markov decision process. We will find that by performing the standard reduction method, where one transforms a partially observed model ... -
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