Browsing Faculty of Engineering by Title
Now showing items 115-134 of 3117
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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 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 ... -
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 ... -
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 ... -
Arabic offensive language on twitter: Analysis and experiments
(Association for Computational Linguistics (ACL), 2021)Detecting offensive language on Twitter has many applications ranging from detecting/predicting bullying to measuring polarization. In this paper, we focus on building a large Arabic offensive tweet dataset. We introduce ... -
An architecture viewpoint for modeling dynamically configurable software systems
(Elsevier, 2017-01-01)Current software systems are rarely static and need to be able to change their topology and behavior to the changing context. To support the communication among stakeholders, guide the design decisions, and analyze the ... -
Are the streamingformat wars over?
(IEEE, 2018-11-28)An average US viewer watches some form of video content five hours a day. The majority ofthe viewed content is still broadcast (over the air, cable, IPTV or satellite), however, the share of the streaming content has been ... -
An area efficient real time implementation of dual tree complex wavelet transform in field programmable gate arrays
(IEEE, 2015)Biomedical signals (BSs), which give information about the normal condition and also the inherent irregularities of our body, are expected to have non-stationary character due to the time-varying behavior of physiological ... -
Artificial intelligence enabled software-defined networking: A comprehensive overview
(The Institution of Engineering and Technology, 2019-03)Software-defined networking (SDN) represents a promising networking architecture that combines central management and network programmability. SDN separates the control plane from the data plane and moves the network ... -
Artificial intelligence techniques for conflict resolution
(Springer, 2021-08)Conflict resolution is essential to obtain cooperation in many scenarios such as politics and business, as well as our day to day life. The importance of conflict resolution has driven research in many fields like anthropology, ... -
Artificial intelligence tools for academic management: assigning students to academic supervisors
(International Academy of Technology, Education and Development (IATED), 2020)In the last few years, there has been a broad range of research focusing on how learning should take place both in the classroom and outside the classroom. Even though academic dissertations are a vital step in the academic ... -
Assembly-based flood repair cost and time models for industrial buildings in Turkey
(Elsevier, 2023-10)Flooding is one of the most frequent hazard events significantly affecting the industry in Turkey, leading to severe economic losses and business disruptions. To predict the direct flood losses and business downtimes on ... -
Assessments on the improved modelling for pneumatic artificial muscle actuators
(IEEE, 2015)In this paper, we present an analysis regarding the pneumatic air muscle modelling, with a particular emphasis on the exoskeleton robot control. We propose two calibration approaches for obtaining the model identification ... -
Asset price and direction prediction via deep 2D transformer and convolutional neural networks
(ACM, 2022-11-02)Artificial intelligence-based algorithmic trading has recently started to attract more attention. Among the techniques, deep learning-based methods such as transformers, convolutional neural networks, and patch embedding ... -
Asymptotic optimality of finite model approximations for partially observed markov decision processes with discounted cost
(IEEE, 2020-01)We consider finite model approximations of discrete-time partially observed Markov decision processes (POMDPs) under the discounted cost criterion. After converting the original partially observed stochastic control problem ...
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