Gelişen araç teknolojileri ile birlikte sürücüye yardımcı olacak sistemler ön plana çıkmaktadır. Bu sistemler sürüş emniyetini ve konforunu artırmak için gün geçtikçe daha fazla araca entegre edilmektedir. Sürücüye yardımcı olan bu sistemler bir yandan da otonom araçlar için öne…
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Feature selection aims to gain a minimal feature subset in a problem domain while conserving the accuracy of the original data. Feature selection is a process for making more efficient data analysis by selecting more relevant features for the related problem solving. Feature sel…
Fingerprints are unique to each person and they have been widely used and accepted for identification purposes by the society. Fingerprints can be captured by using ink and paper to get a print and then digitizing it or more recently by using specialized sensors. But in both cas…
This thesis constitutes a study in the field of BIM-GIS interoperability, with a concentration on code compliance checking. Code checking requires appropriate computer-based models of building codes in digital format, zoning plans in GIS and building designs in BIM environment. …
In this thesis, we studied the vehicle type classification problem from several perspectives. We apply a deep learning technique with different parameters such as image size and the number of images in data sets to the classification of an image as one of the nine vehicle types.…
Stokastik engellerin olduğu yol planlaması, çok populer bir araştırma alanı olarak bilinir. Zorlayıcı bir stokastik optimizasyon problemi olan Kanadalı Gezgin Probleminde (CTP), bloke edilmiş yollar içeren bir haritada engele bitişik bir köşeye ulaşıldığında önceden tanımlanmış …
The introduction of Information and Communication Technologies (ICT) in education has profoundly changed the way education is delivered in schools. Next to pedagogical innovations arising from the integration of ICT into the repertoire of teaching strategies applied by teachers …
Kalkınmacı devlet anlayışı, teorik bir zemin oluşturmasının yanı sıra özellikle Doğu ve Güney Asya'daki bazı ülkelerin spesifik bir zaman dilimindeki ekonomi politiği üzerine açıklamalar getirmektedir. Teorik inşa açısından, kalkınmacı devletlerin ana fikri, devletin kalkınma sü…
Hurricanes and tropical cyclones, in general, are of great interest to weather and climate scientists alike due to their destructive tendency. Though Hawaii has historically avoided being hit directly by hurricanes, it is certain that the islands are uniquely vulnerable to cyclo…
Snow water equivalent (SWE) measurements are critical for creating flood and drought outlooks in the spring. These data are abundantly collected throughout the winter and spring months and reported to organizations like the National Weather Service to use in their products. Orga…
The Columbia River basin is a large transboundary basin located in the Pacific Northwest, straddling the US-Canadian border. The basin spans seven US states and one Canadian province, encompassing a diverse range of hydroclimates. Strong seasonality and complex topography, combi…
Published in 1992, “The osteological paradox: problems of inferring prehistoric health from skeletal samples” highlighted the limitations of interpreting population health from archaeological skeletal samples. The authors drew the attention of the bioarchaeological community to …
To tackle global climate change, the United States must lower its large carbon footprint. An extensive data exploration was undertaken to understand the United States’ energy past and future under carbon constraint using a blended mix of historical and simulation data. Historica…
This research proposes a novel framework to control the stencil cleaning operation in the stencil printing process (SPP) on a real-time basis. In a surface mount assembly (SMA) line, most of the soldering defects result from the SPP. Stencil cleaning is necessary to remove the a…
Discovering important patterns in data can help cities to plan, monitor, and assign resources more efficiently, converting them in smart cities with more organized communities. Machine learning models can take advantage of this large amount of data to improve and scale these cit…
Objectives : Persons with traumatic spinal cord injury (SCI) have severe bone loss below the level of lesion with the distal femur (DF) and proximal tibia (PT) being the skeletal regions appreciated to have the highest risk of fracture. While a reference areal bone mineral densi…
This dissertation consists of six distinct research studies that are broadly classified into two parts. The first part is concerned with the application of emerging data analysis tools rooted in causal inference, nonlinear chaotic dynamical systems, and information theory to det…
Concerning the fact that the number of wind turbines is increasing worldwide, it seems necessary to implement monitoring systems. To respond to this demand, this PhD thesis studies different fault diagnosis techniques in order to improve the reliability and reduce maintenance co…
Most technological relevant structural materials are polycrystals that contain many (millions) so-called grains. Plastic deformation in polycrystalline metallic materials is not homogeneous at the microscale, but sometimes strongly heterogeneous among grains and varies spatially…