Scopus İndeksli Yayınlar Koleksiyonu

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Now showing 1 - 10 of 14
  • Conference Object
    Citation - WoS: 2
    Citation - Scopus: 5
    Vester's Sensitivity Model for Genetic Networks With Time-Discrete Dynamics
    (Springer international Publishing Ag, 2014) Moreno, Liana Amaya; Defterli, Ozlem; Fuegenschuh, Armin; Weber, Gerhard-Wilhelm; Amaya Moreno, Liana; Fügenschuh, Armin
    We propose a new method to explore the characteristics of genetic networks whose dynamics are described by a linear discrete dynamical model x(t+1) = Ax(t). The gene expression data x(t) is given for various time points and the matrix A of interactions among the genes is unknown. First we formulate and solve a parameter estimation problem by linear programming in order to obtain the entries of the matrix A. We then use ideas from Vester's Sensitivity Model, more precisely, the Impact Matrix, and the determination of the Systemic Roles, to understand the interactions among the genes and their role in the system. The method identifies prominent outliers, that is, the most active, reactive, buffering and critical genes in the network. Numerical examples for different datasets containing mRNA transcript levels during the cell cycle of budding yeast are presented.
  • Conference Object
    Parallel and Distributed Architecture for Multilingual Open Source Intelligence Systems
    (Springer international Publishing Ag, 2024) Karamanlioglu, Alper; Yurtalan, Gokhan; Karatas, Yahya Bahadir
    The proliferation of publicly available information across multiple languages presents both unique challenges and opportunities for Open Source Intelligence (OSINT) systems. This paper proposes a novel architecture for multilingual OSINT that is both parallel and distributed. The architecture integrates language identification and translation capabilities, enabling it to handle linguistically diverse data by transforming it into a unified format for efficient analysis. Designed specifically to address the challenges of parallel and distributed processing in OSINT systems, this architecture aims to offer scalability and performance benefits when dealing with massive data volumes. Our primary focus has been on devising strategies and tactics that address these concerns, providing a robust solution for the collection, processing and analysis of data in various languages. This work marks a significant step towards the development of more globally inclusive OSINT systems.
  • Conference Object
    Citation - Scopus: 1
    Fractional Order Computing and Modeling With Portending Complex Fit Real-World Data
    (Springer international Publishing Ag, 2023) Rahman, Mati Ur; Baleanu, Dumitru; Karaca, Yeliz
    Fractional computing models identify the states of different systems with a focus on formulating fractional order compartment models through the consideration of differential equations based on the underlying stochastic processes. Thus, a systematic approach to address and ensure predictive accuracy allows that the model remains physically reasonable at all times, providing a convenient interpretation and feasible design regarding all the parameters of the model. Towards these manifolding processes, this study aims to introduce new concepts of fractional calculus that manifest crossover effects in dynamical models. Piecewise global fractional derivatives in sense of Caputo and Atangana-Baleanu-Caputo (ABC) have been utilized, and they are applied to formulate the Zika Virus (ZV) disease model. To have a predictive analysis of the behavior of the model, the domain is subsequently split into two subintervals and the piecewise behavior is investigated. Afterwards, the fixed point theory of Schauder and Banach is benefited from to prove the existence and uniqueness of at least one solution in both senses for the considered problem. As for the numerical simulations as per the data, Newton interpolation formula has been modified and extended for the considered nonlinear system. Finally, graphical presentations and illustrative examples based on the data for various compartments of the systems have been presented with respect to the applicable real-world data for different fractional orders. Based on the impact of fractional order reducing the abrupt changes, the results obtained from the study demonstrate and also validate that increasing the fractional order brings about a greater crossover effect, which is obvious from the observed data, which is critical for the effective management and control of abrupt changes like infectious diseases, viruses, among many more unexpected phenomena in chaotic, uncertain and transient circumstances.
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 3
    Theory, Analyses and Predictions of Multifractal Formalism and Multifractal Modelling for Stroke Subtypes' Classification
    (Springer international Publishing Ag, 2020) Baleanu, Dumitru; Moonis, Majaz; Zhang, Yu-Dong; Karaca, Yeliz
    Fractal and multifractal analysis interplay within complementary methodology is of pivotal importance in ubiquitously natural and man-made systems. Since the brain as a complex system operates on multitude of scales, the characterization of its dynamics through detection of self-similarity and regularity presents certain challenges. One framework to dig into complex dynamics and structure is to use intricate properties of multifractals. Morphological and functional points of view guide the analysis of the central nervous system (CNS). The former focuses on the fractal and self-similar geometry at various levels of analysis ranging from one single cell to complicated networks of cells. The latter point of view is defined by a hierarchical organization where self-similar elements are embedded within one another. Stroke is a CNS disorder that occurs via a complex network of vessels and arteries. Considering this profound complexity, the principal aim of this study is to develop a complementary methodology to enable the detection of subtle details concerning stroke which may easily be overlooked during the regular treatment procedures. In the proposed method of our study, multifractal regularization method has been employed for singularity analysis to extract the hidden patterns in stroke dataset with two different approaches. As the first approach, decision tree, Naive bayes, kNN and MLP algorithms were applied to the stroke dataset. The second approach is made up of two stages: i) multifractal regularization (kulback normalization) method was applied to the stroke dataset and mFr stroke dataset was generated. ii) the four algorithms stated above were applied to the mFr stroke dataset. When we compared the experimental results obtained from the stroke dataset and mFr stroke dataset based on accuracy (specificity, sensitivity, precision, F1-score and Matthews Correlation Coefficient), it was revealed that mFr stroke dataset achieved higher accuracy rates. Our novel proposed approach can serve for the understanding and taking under control the transient features of stroke. Notably, the study has revealed the reliability, applicability and high accuracy via the methods proposed. Thus, the integrated method has revealed the significance of fractal patterns and accurate prediction of diseases in diagnostic and other critical-decision making processes in related fields.
  • Conference Object
    Citation - Scopus: 2
    Multifractional Gaussian Process Based on Self-Similarity Modelling for Ms Subgroups' Clustering With Fuzzy C-Means
    (Springer international Publishing Ag, 2020) Baleanu, Dumitru; Karaca, Yeliz
    Multifractal analysis is a beneficial way to systematically characterize the heterogeneous nature of both theoretical and experimental patterns of fractal. Multifractal analysis tackles the singularity structure of functions or signals locally and globally. While Holder exponent at each point provides the local information, the global information is attained by characterization of the statistical or geometrical distribution of Holder exponents occurring, referred to as multifractal spectrum. This analysis is time-saving while dealing with irregular signals; hence, such analysis is used extensively. Multiple Sclerosis (MS), is an auto-immune disease that is chronic and characterized by the damage to the Central Nervous System (CNS), is a neurological disorder exhibiting dissimilar and irregular attributes varying among patients. In our study, the MS dataset consists of the Expanded Disability Status Scale (EDSS) scores and Magnetic Resonance Imaging (MRI) (taken in different years) of patients diagnosed with MS subgroups (relapsing remitting MS (RRMS), secondary progressive MS (SPMS) and primary progressive MS (PPMS)) while healthy individuals constitute the control group. This study aims to identify similar attributes in homogeneous MS clusters and dissimilar attributes in different MS subgroup clusters. Thus, it has been aimed to demonstrate the applicability and accuracy of the proposed method based on such cluster formation. Within this framework, the approach we propose follows these steps for the classification of the MS dataset. Firstly, Multifractal denoising with Gaussian process is employed for identifying the critical and significant self-similar attributes through the removal of MS dataset noise, by which, mFd MS dataset is generated. As another step, Fuzzy C-means algorithm is applied to the MS dataset for the classification purposes of both datasets. Based on the experimental results derived within the scheme of the applicable and efficient proposed method, it is shown that mFd MS dataset yielded a higher accuracy rate since the critical and significant self-similar attributes were identified in the process. This study can provide future direction in different fields such as medicine, natural sciences and engineering as a result of the model proposed and the application of alternative mathematical models. As obtained based on the model, the experimental results of the study confirm the efficiency, reliability and applicability of the proposed method. Thus, it is hoped that the derived results based on the thorough analyses and algorithmic applications will be assisting in terms of guidance for the related studies in the future.
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 2
    Evaluation of Semantic Relatedness Measures for Turkish Language
    (Springer international Publishing Ag, 2018) Sopaoglu, Ugur; Ercan, Gonenc
    The problem of quantifying semantic relatedness level of two words is a fundamental sub-task for many natural language processing systems. While there is a large body of research on measuring semantic relatedness in the English language, the literature lacks detailed analysis for these methods in agglutinative languages. In this research, two new evaluation resources for the Turkish language are constructed. An extensive set of experiments involving multiple tasks: word association, semantic categorization, and automatic WordNet relationship discovery are performed to evaluate different semantic relatedness measures in the Turkish language. As Turkish is an agglutinative language, the morphological processing component is important for distributional similarity algorithms. For languages with rich morphological variations and productivity, methods ranging from simple stemming strategies to morphological disambiguation exists. In our experiments, different morphological processing methods for the Turkish language are investigated.
  • Book Part
    Citation - WoS: 10
    Citation - Scopus: 12
    Power Electronic Converters in Dc Microgrid
    (Springer international Publishing Ag, 2020) Genc, Naci; Iskender, Ires
    There are not many sustainable sources of energy other than renewable energy sources (RES), which are called solar, wind, water and various forms of biomass. Themost effectiveway to increase the use of renewable energy sources is to make use of renewable energy systems in villages, townships or small island-shaped districts where there are significant amounts of energy consumers. For this reason, the microgrid (MG) idea of small power system which is controllable, autonomous and balanced has been developed. Microgrids (MGs) playing a role of carrier for distributed generation resources (DGR), includes different distributed generation (DG) units, storage devices, energy converters, protection devices and load control devices. A MG generally includes renewable small power sources consisting of interconnected distributed energy sources with capacity of providing sufficient and sustained energy for a significant portion of the load. Different architecture types of MGs are presented in the literature. In recent years, the use of MGs being able to operate in two different modes depending on the island and grid-connected, has been expanded for DGR integration. Direct current (DC) microgrid has become an important subject of study in recent years as they have a more reliable and lower losses. A DC MG task distributes the DC power required by loads on a campus. Power generation in DC MG systems can be AC or DC; however, in most cases AC power supplies is converted to DC for distribution. The major advantage of DC microgridswhen compared toACsystems is its property of unidirectional power flow. This allows power control to be easily controlled by the power flow direction. In DC MG, the loads must be controllable to keep all loads at the DC range of the voltage in the default range and to regulate the voltage regulation. Besides voltage level and voltage regulation, the voltage ripple ratio should be kept as low as possible in DC microgrids. Therefore, power electronic converters are themost important part of the DC MG systems. There are although many studies published on MGs that control strategy and power electronic circuits make their important portions. It is obvious that the development of power electronic circuits and control methods has further enhanced the applicability of microgrids. In this study, the types, circuit structures and functions of power electronic converters used in DC microgrid are discussed. Power electronics converters used in DC MGs are grouped and evaluated according to their targets. These power electronic converters have been detailed in terms of AC-DC rectifiers, inverters (for AC loads) and DC-DC converter circuit types. The simulation results of some topologies have been evaluated.
  • Book Part
    Citation - WoS: 2
    Citation - Scopus: 4
    Policy and Planning in the Age of Mobilities: Refugees and Urban Planning in Turkey
    (Springer international Publishing Ag, 2019) Gungordu, Feriha Nazda; Bayirbag, Mustafa Kemal
    This chapter discusses the challenges posed by Syrian refugee problem (a multifaceted "mobility" problem especially hitting metropolitan cities) on urban planning practices and discourses in Turkey. Here, we portray the refugee problem as a multiscalar one, where international, national and local authorities meet the challenge in different ways. The multiscalar lens allows us to detect how various problem areas (security, sheltering, etc.) have become intertwined and concentrated on urban areas after refugee influx. In that regard, first we depict the role of "urban planning" in "governance of (refugee) mobility" in neoliberal era. Secondly, we briefly touch upon the historical association between the mobility patterns and urbanization in Turkey since 1923 to detect how public authorities (at different scales of governing) reacted to these mobilities. This historical analysis helps us locate the Syrian refugee problem into its proper context as an urban planning problem (not simply as an IR or security problem). Lastly, we discuss Syrian Refugee Crisis' challenges on urban areas and planning practices in Turkey by referring to its international, national and local governance. We conclude by summing up the key empirical and theoretical lessons drawn while also introducing analytical questions about the future direction of research.
  • Book Part
    Citation - WoS: 1
    Citation - Scopus: 2
    Evaluation of the Issues and Challenges in Turkey's Urban Planning System
    (Springer international Publishing Ag, 2019) Sari, O. Burcu Ozdemir; Ozdemir, Suna S.; Uzun, Nil; Özdemir Sarı, Ö. Burcu
    This concluding chapter focuses particularly on the period, which starts with the 2002 general elections, covering almost the last 15 years of the country. In this period, Turkish cities have experienced significant spatial and social transformations. This raises a number of issues and challenges for urban and regional planning in Turkey. The current urban and regional planning agenda worldwide covers dozens of topics. ForTurkey, three issues have become prominent: (i) actors (and institutions) other than planners (and planning) that have control capacity in the production and transformation of the built environment, and adverse effects of their actions on the integrity of urban plans and the control capacity of urban planning, (ii) the need to achieve resilient, safe, and sustainable urban environments, and (iii) consequences of population growth and the spatial expansion of cities as well as the problems stemming from the current efforts at urban transformation. Some cross-cutting issues and significant points among the chapters of the book are emphasised in this chapter. The Turkish case provides useful examples and fruitful discussions for international readers from developed and developing countries.
  • Book Part
    Citation - Scopus: 1
    Urbanisation and Urban Planning in Turkey
    (Springer international Publishing Ag, 2019) Uzun, Nil; Sari, O. Burcu Ozdemir; Ozdemir, Suna S.; Özdemir Sarı, Ö. Burcu
    Urban and regional planning, as an institution, differs significantly from country to country depending on the legal and institutional contexts of each state. The significance of urban and regional planning increased in Turkey in 1923 following the foundation of the Republic. Economic policies executed by the government have always had an effect on urbanisation in Turkey. In fact, different economic policies and models applied since 1923 defined the different periods of urbanisation in the country. These periods also define the changes in urban and regional planning. There are basically four different models of economic development applied starting from 1923. Acentralised, state-dominated model was the first one, and it was implemented until the 1950s. Liberalisation, the second model, was adopted in the 1950s. Mechanisation in agriculture set off rural-to-urban migration, and the rate of urbanisation increased very rapidly. This period lasted until the 1980s when Turkey's economy underwent radical changes with the introduction of the privatisation model within the context of globalisation. The fourth period, starting after the general elections of 2002, can be considered a continuation of the third one. Economic and political changes in this period have had substantial implications for cities.