Yayıncı "Fen Bilimleri Enstitüsü" için listeleme
Toplam kayıt 2566, listelenen: 21-40
-
A Compliant Suspension Application to a Small Scale Car
(Fen Bilimleri Enstitüsü, 2019)Compatibility of a compliant equivalent for a double wishbone suspension is assessed in this thesis. Reference rigid double wishbone suspension is taken from a small-scale model car. Rear left suspension of this model car ... -
A Computationally Efficient Heuristic Algorithm For Piecewise Linear Regression
(Fen Bilimleri Enstitüsü, 2023)Regression analysis is a method used to model the relationship between the dependent variables and the independent variable in the data, and to predict the dependent variable from the independent variables in the future ... -
A Cross-Layer Intrusıon Detectıon System For Rpl-Based Internet Of Thıngs
(Fen Bilimleri Enstitüsü, 2020)Internet of Things (IoT) is a heterogeneous network of constrained devices connected both to each other and to the Internet. Since the significance of the IoT has risen remarkably in recent years, a considerable amount of ... -
A Decision Analysis Approach for Selecting Software Defect Prediction Method in the Early Phases
(Fen Bilimleri Enstitüsü, 2022-06)Considering that software usage rates have increased, it is inevitable for end-users to prefer high-quality software products. Undoubtedly, one of the most important quality indicators of a software product is its defect ... -
A Dummy Head And Neck Model for Both Frontal and Rear Impacts
(Fen Bilimleri Enstitüsü, 2022)Dummies are calibrated test instruments used to measure human injury potential and determine dynamic behaviour of anatomical parts of the human in vehicle crashes. There are seperate dummies available for frontal and rear ... -
A General Evaluation of the Performance of Roadheaders Used in Coal Mines
(Fen Bilimleri Enstitüsü, 2023)Roadheaders have been widely used in mining and civil engineering projects for the excavation of roadway or tunnel in soft and medium strength rocks. The correct estimation of roadheader performance is important especially ... -
A Hybrid and Reliable Method Integrating Depth and Technical Analysis with Machine Learning Techniques for Predicting Stock Prices
(Fen Bilimleri Enstitüsü, 2019)It is quite complicated and difficult to predict the price changes direction of stock, because of the price changes of stock are non-linear. Some statistical methods are used to estimate these price changes direction, but ... -
A Hybrid Strategy for Generating Digital Terrain Model From Dense Digital Surface Model Using Cloth Simulation Filter and Total Variation Regularization
(Fen Bilimleri Enstitüsü, 2022)A Digital Elevation Model (DEM) is a general term used to express the virtual representation of the height values of the Earth's surface. Two of the most widely used DEM types are Digital Surface Model (DSM) and Digital ... -
A Machıne Learnıng Approach For The Detectıon Of Trade Based Manıpulatıons In Borsa İstanbul
(Fen Bilimleri Enstitüsü, 2022)Capital markets, one of the pillars of the financial system, play a vital role in transferring the excess funds of savers to investors who need funds in the medium and long term. Trust is essential for the safe and effective ... -
A Method For Selectıng Regressıon Test Cases Based On Software Changes And Software Faults
(Fen Bilimleri Enstitüsü, 2019)Regression testing is the type of testing in which a modified software is validated to ensure its functionality is not broken. With the increase of modern, agile and large size software systems, regression test selection ... -
A Multicriteria Preventive Maintenance Approach and Its Application in the After-Sales Service of a Truck and Bus Company
(Fen Bilimleri Enstitüsü, 2019)Providing customer satisfaction has critical significance for companies that give service in automotive industry in terms of enhancing company’s prestige and consequently, increasing company’s profit by expanding customer ... -
A Multı-Instance Based Learning System for Scene Recognition
(Fen Bilimleri Enstitüsü, 2015)Scene recognition is a frequently-studied topic of computer vision. The aim in scene recognition is to predict the general environment label of a given image. Various visual elements contribute to the characterization of ... -
A New Approach for the Determination of Trace Heavy Metals in Hair Dyeing Cosmetics
(Fen Bilimleri Enstitüsü, 2021)Although hair does not have a vital function in humans, it is an essential body component that affects appearance and self-confidence for both men and women. Cosmetic application using chemicals to change hair color is ... -
A New Metric for Adaptive Routing in Mobile Ad Hoc Networks
(Fen Bilimleri Enstitüsü, 2014)Mobile Ad-Hoc networks (MANETs) have become very popular for military applications,disaster recovery operations in which the fixed network infrastructure might not be availabledue to wars, natural disasters, and the like. ... -
A New Sustaınable Index Model Assessment for Solar Energy Systems
(Fen Bilimleri Enstitüsü, 2022-01)The energy produced from the solar panel is, in principle, related to the incoming solar irradiation. However, there may be several parameters affecting the efficiency of the solar energy systems such as the climatic factors ... -
A Novel Communicatıon Protocol Design For Internet Of Flying Things
(Fen Bilimleri Enstitüsü, 2023)In this thesis a new communication protocol, Message Queuing Telemetry Transport Extended (MQTT-XT) is proposed for the Internet of Flying Things (IoFT) network. The main objective of the proposed protocol is to enable ... -
A Novel Constant Force Compliant Gripper Design
(Fen Bilimleri Enstitüsü, 2023-04)The aim of this thesis is to design a novel constant-force compliant gripper mechanism. The design is a monolithic holding mechanism which is fixed on one side and free on the gripper side. The mechanism has four compliant ... -
A Novel Multivariate Discretization Algorithm Using Dynamic Programming
(Fen Bilimleri Enstitüsü, 2023-01)Discretization is the task of converting quantitative (continuous) numerical data into qualitative (categorical) by assigning them into non-overlapping intervals. It is an important step in reducing the complexity of data ... -
A Novel Mıcrocantılever Sensor System For The Selectıve Determınatıon Of Antıbıotıcs
(Fen Bilimleri Enstitüsü, 2016)This thesis focuses on the detection of ciprofloxacin and erythromycin antibiotics in water resources, which cause adverse effects on wildlife in aquatic environments and human life by polluting the drinking waters. Detection ... -
A Partıally Observable Markov Decision Process Approach for Clinical Decision Support In Cancer Treatment: Implementation for Colon Cancer
(Fen Bilimleri Enstitüsü, 2022)The cancer treatment process involves uncertainty by its nature. Since the disease evolves continuously and diagnostic tests used to detect the level of the disease are not totally accurate, the actual state of the disease ...