• Development of polyamideimide based nanofiltration membranes for separation of dyes and salts in textile wastewater treatment 

  Metecan, Ayşe (Izmir Institute of Technology, 2019-07)

  The textile wastewater contains a significant level of organic dyes and inorganic salts. Separation of a vast amount of organic dyes and inorganic salts is important not only to comply with strict regulations but also to ...

• Estimation of low sucrose concentrations and classification of bacteria concentrations with machine learning on spectroscopic data 

  Mezgil, Bahadır (Izmir Institute of Technology, 2019-06)

  Spectroscopy can be used to identify elements. In a similar way, there are recent studies that use optical spectroscopy to measure the material concentrations in chemical solutions. In this study, we employ machine learning ...

• Development of adhesively bonded glass fiber reinforced polypropylene/aluminum based fiber metal laminates (FMLs) 

  Türkdoğan, Ceren (Izmir Institute of Technology, 2019-07)

  One of the most important steps during the production of adhesively bonded fiber metal laminates (FMLs) is adhesive bonding. In glass fiber reinforced polypropylene/aluminum laminates, it is very difficult to provide good ...

• Effectiveness of using clustering for test case prioritization 

  Günel, Can (Izmir Institute of Technology, 2019-07)

  Software testing is one of the most important processes in the software development life cycle. As software evolves, previous test cases need to be re-executed to make sure that there is no new bugs introduced and nothing ...

• F (Metric-Affine) gravity: Disformal and cross-curvature effects 

  Samaner, Çağlar (Izmir Institute of Technology, 2019-07)

  The present thesis consists of two main studies, in the first part, after giving a brief formulation of gravity theories on the metric, affine and metric-affine frameworks, we study the effects of the disformal coupling ...

• A learning-based demand classification service with using XGBoost in institutional area 

  Gürakın, Çağrı (Izmir Institute of Technology, 2019-07)

  This study, purposes to explain the development stages and methodology of data classification service that has a text-based adaptable programming interface. One of the successful classification algorithms, XGBoost, was ...

• Investigation of gas phase fragmentation mechanism of doubly charged a ions by mass spectrometry 

  Kızılkoca, Doğacan (Izmir Institute of Technology, 2019-07)

  This dissertation presents studies of gas-phase fragmentation mechanism of doubly-charged a7 ions from basic amino acid containing model peptides under low-energy collision-induced dissociation (CID). The study includes ...

• Disorder induced electronic and magnetic properties of graphene quantum dots 

  Kul, Erdoğan Kul (Izmir Institute of Technology, 2019-07)

  In this thesis, we aim to study magnetic properties of hexagonal shaped graphene quantum dots with armchair edge in the case of atomic collapse by modelling two vacancies on it. The measured relativistic electron transport ...

• Carbon dioxide hydrogenation on alumina supported ruthenium catalysts 

  Hamza, Gökmen Oğuzcan (Izmir Institute of Technology, 2019-07)

  In this study the effect of basicity of catalyst is investigated using different metal oxide supported Nickel and Ruthenium catalyst. The basic strength of catalysts was orchestrated with using different types of metals ...

• Double-skin facade options for optimum daylight quality: An office case in İzmir 

  Ergin, Meltem (Izmir Institute of Technology, 2019-07)

  DSF buildings have been designed and used mainly for the purposes of improving human comfort and decreasing energy consumption in new and renovated structures. However, there has been scarce studies in literature concerning ...

• Digital font generation using long short-term memory networks 

  Temizkan, Onur (Izmir Institute of Technology, 2019-07)

  Long Short-Term Memory (LSTM) Networks are powerful models to solve sequential problems in machine learning. Apart from their use on sequence classification, LSTMs are also used for sequence prediction. Predictive features ...

• Investigation of different UV stabilizer effects on HDPE grades 

  Germen, Oktay (Izmir Institute of Technology, 2019-07)

  In this study, a performance Hindered Amin Light Stabilizer (HALS), used to prevent the structure of polymeric materials from UV and thermal degradation, was investigated using High Density Polyethylene (HDPE) injection ...

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