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Application of a disturbance observer based controller to improve vehicle ride
(Canadian Acoustical Association, 2019)In this paper the application of a disturbance observer based control algorithm is proposed to improve the vehicle ride performance of a vehicle that has magnetorheological damper (MR Damper) suspension. The vehicle is ... -
Application of a novel friction stir spot welding process on dissimilar aluminum joints
(Elsevier, 2018-10)Intermediate layer friction stir spot welding (IL-FSSW) is introduced in this study as a novel spot welding technique to eliminate the keyhole associated with the conventional friction stir spot welding (FSSW). This process ... -
Application of chemical mechanical polishing process on titanium based implants
(Elsevier, 2016-11-01)Modification of the implantable biomaterial surfaces is known to improve the biocompatibility of metallic implants. Particularly, treatments such as etching, sand-blasting or laser treatment are commonly studied to understand ... -
Application of chemical mechanical polishing process on titanium based medical implants
(2017-05)Biomaterials are commonly used as implant materials in the body for dental prostheses, orthopedic applications, heart valves and catheters. Based on the research studies conducted up to date, titanium and its alloys are ... -
An application of digital transformation : predictive maintenance scheduling
(2021-01-18)Current technological developments in the industry and literature with the fourth revolution of industry make it possible to collect accurate data from production processes and develop data-based models to increase production ... -
Application of friction stir spot welding on additive manufactured carbon fiber composite
(Trans Tech Publications Ltd, 2022)Friction stir spot welding as a solid state processing technique is used to join dissimilar and similar metals, composites and polymers. This study illustrates the implementation of friction stir spot welding (FSSW) on ... -
Application of giesekus model for capillary extrusion of rubber compound
(The Society of Chemical Engineers, 2019-02)Extrudate swell is an important phenomenon occurring when high viscoelastic materials, such as rubber and rubber compounds, are extruded. In this work, the effects of relaxation time and relaxation mode on swell predictions ... -
Application of large-scale optimization methods in scheduling and routing problems
In this thesis, we consider three different applications of large-scale optimization methods. We focus on the blood donation tailoring problem under uncertain demand in the first problem. In the second one, we propose a ... -
Application of novel constrained groove pressing routes on austenitic stainless steel
(Springer, 2021-11)In this study, a novel set of constrained groove processing routes was put forward especially to underline the variation of strain paths. Namely, 304 stainless steel sheets were processed by five distinctly specified ... -
Application of sequence-dependent traveling salesman problem in printed circuit board assembly
(IEEE, 2013-06)Optimization issues regarding the automated assembly of printed circuit boards attracted the interest of researchers for several decades. This is because even small gains in assembly time result in very important benefits ... -
An application of unrelated parallel machine scheduling with sequence-dependent setups at Vestel Electronic
(2017-08)Vestel Electronics produces LCD/LED televisions and has a significant market share in consumer electronics sector in Europe. TV manufacturing is planned based on a make-to order strategy, and Vestel uses 15 assembly lines ... -
An application of unrelated parallel machine scheduling with sequence-dependent setups at Vestel Electronics
(Elsevier, 2019-11)In this paper, we analyze a variant of the unrelated parallel machine scheduling problem with the objective of minimizing the total tardiness and earliness in the presence of sequence-dependent setups, unequal release ... -
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 ...
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