Browsing Faculty of Engineering by Title
Now showing items 1292-1311 of 3118
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Kuvvetlendir-ve-aktar tipi işbirlikli haberleşme sistemlerinde zaman senkronizasyonu
(IEEE, 2010)The synchronization problem in wireless communication systems becomes more important especially in cooperative communication systems than it is for other diversity systems because all terminals in the cooperation use their ... -
Land subsidence susceptibility mapping using interferometric synthetic aperture radar (InSAR) and machine learning models in a semiarid region of iran
(MDPI, 2023-04)Most published studies identify groundwater extraction as the leading cause of land subsidence (LS). However, the causes of LS are not only attributable to groundwater extraction. Other land-use practices can also affect ... -
Lane type classification & distance measurement system for autonomous vehicle
(IEEE, 2023)In this paper, lane type classification and lane distance measurement system are proposed for autonomous vehicles. In the proposed system, the perspective transformation method is applied to the image taken from the vehicle ... -
Lane-exchange mechanisms for truckload carrier collaboration
(Informs, 2011-02)Because of historically high fuel prices, the trucking industry's operating expenses are higher than ever and thus profit margins are lower than ever. To cut costs, the trucking industry is searching for and exploring new ... -
Language inference with multi-head automata through reinforcement learning
(IEEE, 2020)The purpose of this paper is to use reinforcement learning to model learning agents which can recognize formal languages. Agents are modeled as simple multi-head automaton, a new model of finite automaton that uses multiple ... -
Large deviations for local mass of branching Brownian motion
(Instituto Nacional de Matematica Pura e Aplicada, 2020)We study the local mass of a dyadic branching Brownian motion Z evolving in R-d. By 'local mass', we refer to the number of particles of Z that fall inside a ball with fixed radius and time-dependent center, lying in the ... -
Large deviations principle for discrete-time mean-field games
(Springer, 2021-11)In this paper, we establish a large deviations principle (LDP) for interacting particle systems that arise from state and action dynamics of discrete-time mean-field games under the equilibrium policy of the infinite-population ... -
A large neighborhood search algorithm and lower bounds for the variable-sized bin packing problem with conflicts
(Elsevier, 2023-08-01)In this paper, we study the Variable-Sized Bin Packing Problem with Conflicts (VSBPPC). In VSBPPC, a set of items each with a certain size has to be packed into bins of various types. Bin types differ in terms of their ... -
Layered structure printed dipole antenna with integrated balun for phased array radars
(IEEE, 2018-04-24)A Layered structure printed dipole antenna using through via-hole mechanism has been proposed for phased array radars. For the dipole a low dielectric constant Rogers 5880 substrate has been used to stabilize the structure ... -
League scheduling and game bundling in sports industry
(Elsevier, 2014-08)Most sport clubs offer season tickets first and they allow purchasing single tickets at a later date. There are several decision problems within this context; the determination of the optimal time at which the switch from ... -
Learning and reasoning in complex coalition information environments: a critical analysis
(IEEE, 2018-09-05)In this paper we provide a critical analysis with metrics that will inform guidelines for designing distributed systems for Collective Situational Understanding (CSU). CSU requires both collective insight - i.e., accurate ... -
Learning in discrete-time average-cost mean-field games
(IEEE, 2021)In this paper, we consider learning of discrete-time mean-field games under an average cost criterion. We propose a Q-iteration algorithm via Banach Fixed Point Theorem to compute the mean-field equilibrium when the model ... -
Learning mean-field games with discounted and average costs
(Microtome Publishing, 2023)We consider learning approximate Nash equilibria for discrete-time mean-field games with stochastic nonlinear state dynamics subject to both average and discounted costs. To this end, we introduce a mean-field equilibrium ... -
Learning medical suturing primitives for autonomous suturing
(IEEE, 2021)This paper focuses on a learning from demonstration approach for autonomous medical suturing. A conditional neural network is used to learn and generate suturing primitives trajectories which were conditioned on desired ... -
Learning system dynamics via deep recurrent and conditional neural systems
(IEEE, 2021)Although there are various mathematical methods for modeling system dynamics, more general solutions can be achieved using deep learning based on data. Alternative deep learning methods are presented in parallel with the ... -
Learning to exploit passive compliance for energy-efficient gait generation on a compliant humanoid
(Springer Nature, 2019-01)Modern humanoid robots include not only active compliance but also passive compliance. Apart from improved safety and dependability, availability of passive elements, such as springs, opens up new possibilities for improving ... -
Learning to grasp with parental scaffolding
(IEEE, 2011)Parental scaffolding is an important mechanism utilized by infants during their development. Infants, for example, pay stronger attention to the features of objects highlighted by parents and learn the way of manipulating ... -
A learning-based dependency to constituency conversion algorithm for the turkish language
(European Language Resources Association (ELRA), 2022)This study aims to create the very first dependency-to-constituency conversion algorithm optimised for Turkish language. For this purpose, a state-of-the-art morphologic analyser (Yıldız et al., 2019) and a feature-based ... -
Least-cost influence maximization on social networks
(Informs, 2020-03)Viral-marketing strategies are of significant interest in the online economy. Roughly, in these problems, one seeks to identify which individuals to strategically target in a social network so that a given proportion of ... -
Let’s negotiate with jennifer! towards a speech-based human-robot negotiation
(Springer, 2021)Social robots are becoming prevalent in our society, and most of the time, they need to interact with humans in order to accomplish their tasks. Negotiation is one of the inevitable processes they need to be involved to ...
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