• DEVELOPMENT OF A PAPER BASED MAGNETOPHORETIC SENSOR 

  FAROOQI, MUHAMMAD FUAD (Abdullah Gül Üniversitesi Fen Bilimleri Enstitüsü, Ocak 2022)

  One of the widely used type of biosensors are paper-based lateral flow systems. They are used to detect a wide variety of biomolecules like microorganisms, proteins, chemicals, oligonucleotides among many others. In this ...

• DEVELOPMENT OF CONTROL STRATEGIES IN SMART MICROGRIDS 

  Yoldaş, Yeliz (Abdullah Gül Üniversitesi Fen Bilimleri Enstitüsü, Eylül 2021)

  This thesis concerns the transformation of aged power systems to modern power systems that include microgrids with renewable energy sources and energy storage systems. The integration of renewable energy sources brings ...

• RELATIVE LOCALIZATION AND COORDINATION FOR AIR-GROUND ROBOT TEAMS 

  Yıldırım, İsa Emre (Abdullah Gül Üniversitesi Fen Bilimleri Enstitüsü, 2021)

  Recently, autonomous robot teams have been implemented broadly in many social and military applications such as firefighting, agriculture, search and rescue, mapping, target tracking, and docking. A mix of different types ...

• MACHINE LEARNING BASED INTEGRATION OF miRNA AND mRNA PROFILES COMBINED WITH FEATURE GROUPING AND RANKING 

  GOY, Gökhan (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2021)

  It is very important to understand the development and progression mechanisms of the diseases at the molecular level. Revealing the functional mechanisms that cause the disease not only contributes to the molecular ...

• DESIGNING RELIABLE MICROARCHITCTRURES ACCORDING TO APPLICATION REQUIREMENTS 

  Kahira, Albert (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2017)

  One of the most important factors to consider when designing a new computer architecture besides cost, energy consumption and performance is reliability. Reliability looks into how often the computer produces the correct ...

• OPTIMIZING CLASSIFIERS FOR PROTEIN SECONDARY STRUCTURE PREDICTION 

  UZUT, Ömmu Gülsüm (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2017)

  Protein secondary structure prediction is important for understanding protein structure and function. PSSP can be seen as a bridge between amino acid sequence and 3D structure of a protein. Many methods have been performed ...

• DIMENSIONALITY REDUCTION FOR PROTEIN SECONDARY STRUCTURE PREDICTION 

  GÖRMEZ, Yasin (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2017)

  Proteins are important for our lives and they execute essential metabolic processes. The functions of the proteins can be understood by looking at the three-dimensional structures of the proteins. Because the experimental ...

• PERFORMANCE ANALYSIS OF UNDERWATER COMMUNICATION WITH DIFFERENT MODULATION TECHNIQUES 

  BAHÇEBAŞI, Akif (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2017)

  There is an increasing interest in using Underwater Acoustic Sensor Networks (UASNs) for various oceanographic applications, such as pollution monitoring, seismic monitoring, environmental data collection, offshore ...

• CAMERA BASED SHEET MEASUREMENT SYSTEM FOR LASER CNC MACHINES 

  UMAR, Aamish (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2018)

  Laser CNC machines are widely utilized for cutting metal sheets of varying thickness and materials. The sheets to be cut can be of varying dimensions and be placed at any desired area of the cutting table. The operator ...

• DEVELOPMENT OF DATA MINING METHODOLOGIES AND MACHINE LEARNING MODELS TO UNDERSTAND CARDIOVASCULAR DISEASE MECHANISMS 

  KOLUKISA, Burak (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2020)

  World Health Organization (WHO) reported that in 2016, 31% (17.9 million) of the total deaths in the world were caused by Coronary Artery Disease (CAD) and it is estimated that around 23.6 million people will die from ...

• RECOMMENDER SYSTEM FOR EMPLOYEE ATTRITION PREDICTION AND MOVIE SUGGESTION 

  Özdemir, Fatma (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2020)

  In this thesis, we focus on two problems raised in Machine Learning Community, namely, the recommender system and employee attrition problem. The recommender system is an information filtering system that predicts whether ...

• COLLOIDAL PEROVSKITE NANOCRYSTALS AND LED APPLICATIONS 

  BEŞKAZAK, Emre (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2019)

  Colloidal perovskite nanocrystals, recently, attracted a great amount of research interest because of their near-unity photoluminescence quantum yield efficiency, narrow emission linewidth, easy tunability of wavelength ...

• BLOCKCHAIN BASED DATA SHARING PLATFORM FOR BIOINFORMATICS FIELD 

  ADANUR, Beyhan (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2020)

  Recently, panomics studies attempt to identify new and actionable biomarkers by combining -omics data with other data types. In this context, there is a need to develop secure platforms that take into account ethical aspects ...

• VISUALIZATION OF INTERSECTING SETS IN BIOLOGICAL NETWORKS AND FILTERING BASED ON THEIR TOPOLOGICAL PROPERTIES 

  Bulut, Ümit (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2020)

  With the rapid development of computer sciences and data processing technologies, bioinformatics became one of the rising multidisciplinary fields in this century. In this thesis, we aim to introduce a new perspective on ...

• ENERGY HARVESTING WIRELESS MULTIMEDIA SENSOR NETWORKS IN INDUSTRIAL ENVIRONMENTS 

  TEKİN, Nazlı (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2020)

  Providing energy efficient and reliable communication for Industrial Wireless Sensor Networks (IWSNs) is of great significance when considering the harsh channel characteristics of industrial environment. However, ...

• MINING COLONOSCOPY IMAGES FOR ABNORMALITY DETECTION 

  KAÇMAZ, Rukiye Nur (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2020)

  Detection of colon abnormalities is one of the most challenging tasks for gastroenterologists. However, the frames or videos obtained during the procedure are exposed to significant amount of unwanted artifacts such as ...

• NON-SMALL CELL LUNG CANCER TUMOR CHARACTERISATION USING DEEP LEARNING 

  BIÇAKCI, Mustafa (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2021)

  Non-small cell lung cancer (NSCLC) constitutes the vast majority of lung cancers and has two major subtypes, adenocarcinoma (ADC) and squamous cell carcinoma (SqCC). Generally, these two subtypes are distinguished from ...

• DEVELOPING A LABEL PROPAGATION APPROACH FOR CANCER SUBTYPE IDENTIFICATION PROBLEM 

  Pınar, GÜNER (Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2021)

  Kanser terimi, anormal hücrelerin kontrolden çıkıp diğer dokuları istila ettiği hastalıkları tanımlamak için kullanılır. Çok sayıda kanser türü vardır ve birçok kanser türü, farklı klinik ve biyolojik etkileri olan çeşitli ...

• Theoretical investigation and modeling of various shaped planar coils for induction system applications 

  ERMAN, MUHAMMED FURKAN (Abdullah Gül Üniversitesi, 2019)

  Heating occupies an important place in industry. With the development of technology, in today’s world there are different kinds of heating methods that are being widely used including resistive and infrared heating, etc. ...

• Image processing based measurement system for quantification of the target leukemia cells 

  TAŞ, ZEHRA (Abdullah Gül Üniversitesi, 2019)

  Acute Lymphocyte Leukemia (ALL) is the most common type of cancer diagnosed in childhood. The progress of this cancer is quite fast, so time is crucial for the treatment. There are some treatments for patients such as drug ...

View more