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Toplam kayıt 61, listelenen: 21-30
ENERGY HARVESTING WIRELESS MULTIMEDIA SENSOR NETWORKS IN INDUSTRIAL ENVIRONMENTS
(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, ...
VISUALIZATION OF INTERSECTING SETS IN BIOLOGICAL NETWORKS AND FILTERING BASED ON THEIR TOPOLOGICAL PROPERTIES
(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 ...
BLOCKCHAIN BASED DATA SHARING PLATFORM FOR BIOINFORMATICS FIELD
(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 ...
COLLOIDAL PEROVSKITE NANOCRYSTALS AND LED APPLICATIONS
(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 ...
DEVELOPMENT OF DATA MINING METHODOLOGIES AND MACHINE LEARNING MODELS TO UNDERSTAND CARDIOVASCULAR DISEASE MECHANISMS
(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 ...
OPTIMIZING CLASSIFIERS FOR PROTEIN SECONDARY STRUCTURE PREDICTION
(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
(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 ...
RECOMMENDER SYSTEM FOR EMPLOYEE ATTRITION PREDICTION AND MOVIE SUGGESTION
(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 ...
DESIGNING RELIABLE MICROARCHITCTRURES ACCORDING TO APPLICATION REQUIREMENTS
(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 ...
CAMERA BASED SHEET MEASUREMENT SYSTEM FOR LASER CNC MACHINES
(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 ...