• On a class of nonself-adjoint multidimensional periodic Schrödinger operators 

  Veliev, Oktay (2019)

  We investigate the Schrödinger operator $L_{(q)}$ in $L_{(2)}(\mathbb{R}^d)\;(d\geq1)$ with the complex-valued potential q thatis periodic with respect to a lattice ?. Besides, it is assumed that the Fourier coefficients ...

• TSCBAS: A Novel Correlation Based Attribute Selection Method and Application on Telecommunications Churn Analysis 

  Kayaalp, F.; Başarslan, M.S.; Polat, K. (Institute of Electrical and Electronics Engineers Inc., 2019)

  Attribute selection has a significant effect on the performance of the machine learning studies by selecting the attributes having significant effect on result, reducing the number of attributes, and reducing the calculation ...

• Perceptron Model of Forecasting Life Exapectancy via Insurance Lee-Carter Mortality Function 

  Andeeski, C.; Dimirovski, G. (Institute of Electrical and Electronics Engineers Inc., 2019)

  Forecasting of mortality function is important for many field of human work like insurance companies, government projections of the human assets, medical research. During past years many models were presented. Most common ...

• A Rectifier Circuit Using Add-Differentiate IC with a Minimal Number of CMOS Transistors 

  Goknar, I.C.; Minayi, E. (Institute of Electrical and Electronics Engineers Inc., 2019)

  Using the recently developed Add-Differentiate 5-terminal Integrated Circuit, AD-IC (which possess 12 CMOS transistors only), augmented with two diodes, a new rectifier configuration is presented. Transistor level circuit ...

• The Analysis of Text Categorization Represented with Word Embeddings Using Homogeneous Classifiers 

  Kilimci, Z.H.; Akyokus, S. (Institute of Electrical and Electronics Engineers Inc., 2019)

  Text data mining is the process of extracting and analyzing valuable information from text. A text data mining process generally consists of lexical and syntax analysis of input text data, the removal of non-informative ...

• Properties of metamaterial based electromagnetic absorbers and shields 

  Pekmezci, A.; Sevgi, L. (Institute of Electrical and Electronics Engineers Inc., 2019)

  Metamaterials are widely investigated as nominates for absorbers and shields in Electromagnetic Compatibility (EMC) techniques. Due to the dispersive nature of artificially constructed metamaterials, permittivity and/or ...

• A hesitant fuzzy correspondence analysis 

  Bozdag, E.; Yanmaz, O.; Kadaifci, C. (Springer Verlag, 2020)

  Correspondence Analysis (CA), an explanatory multivariate statistical technique, allows a visual representation of relationships between categorical variables. Even the method is widely used in most of the disciplines, in ...

• A novel neighborhood generation method for heuristics and application to traveling salesman problem 

  Öztürk, M.; Alabaş, Uslu, Ç. (Springer Verlag, 2020)

  This paper presents a novel neighbor generation mechanism for heuristic algorithms in which a permutation solution representation is utilized. The mechanism, called cantor-set based (CB) method, is inspired by the recursive ...

• Status and perspectives of the CAST experiment 

  Laki?, B.; Arik, M.; Aune, S.; Barth, K.; Belov, A.; Borghi, S.; Zioutas, K. (Verlag Deutsches Elektronen-Synchrotron, 2020)

  CERN Axion Solar Telescope (CAST) is currently the most sensitive axion helioscope designed to search for axions and axion-like particles produced in the Sun. CAST is using a Large Hadron Collider prototype magnet where ...

• An improved fuzzy cognitive mapping method 

  Asan, U.; Kadaifci, C. (Springer Verlag, 2020)

  Fuzzy Cognitive Mapping (FCM) models the evolution of a system over time. However, FCM tends to produce the same steady state values under different initial conditions. To address this issue, this study suggests an improved ...

• Classification Performance Evaluation on Diagnosis of Breast Cancer 

  Basarslan, M.S.; Kayaalp, F. (Springer Science and Business Media Deutschland GmbH, 2021)

  Cancer, which has many different types such as breast, pleural, and leukemia, is one of the common health problems of today. Most of them cause pain and treatment processes are so challenging. Medical authorities report ...

• Optimal Coordination of Directional Overcurrent Relays Using Artificial Ecosystem-Based Optimization 

  Guvenc, U.; Bakir, H.; Duman, S. (Springer Science and Business Media Deutschland GmbH, 2021)

  Optimal directional overcurrent relays (DOCRs) coordination aims to find the optimal relay settings in order to protect the system, where, the primary relays are operated in the first to clear the faults, then the corresponding ...

• Optimal Power Flow Using Manta Ray Foraging Optimization 

  Guvenc, U.; Bakir, H.; Duman, S.; Ozkaya, B. (Springer Science and Business Media Deutschland GmbH, 2021)

  The optimal power flow (OPF) stands for the problem of specifying the best-operating levels for electric power plants in order to meet demands given throughout a transmission network, usually with the objective of minimizing ...

• Investigating green marketing implementation with the hedonic price model in residential projects: The case of istanbul 

  Tuz, A.; Sertyesilisik, B. (Academy of Sciences of the Czech Republic, Institute of Sociology, 2021)

  The strategic importance of green marketing (GM) in value creation for the end customer (VCEC) and the contribution of the spatial and structural characteristics of a residential project (RP) to the final price have been ...

• Investigation of the noise sensitivity of machine learning algorithms on credit card fraud detection 

  Aytutuldu, I.; Aydin, M.A. (Institute of Electrical and Electronics Engineers Inc., 2021)

  The misleading of machine learning based credit card fraud detection systems, due to various cyber attacks and information transfer-related distortions, is highly critical for the financial sector and its effects globally. ...

• A genetic algorithm for AC optimal transmission switching 

  Jabarnejad, M. (Association for Computing Machinery, Inc, 2021)

  Optimal transmission switching (OTS) is a new practice in power systems and can improve the economics of electric power systems integrated with renewable resources such as wind. In OTS modeling binary decision variables ...

• Prediction of Class-Amplifiers with the Aid of Neural Network 

  Kouhalvandi, L.; Matekovits, L. (Institute of Electrical and Electronics Engineers Inc., 2021)

  This paper presents a strategy addressing the problem of selection of the class of the amplifiers to be used in future wireless communication systems. The proposed methodology uses a scheme based on neural networks (NN): ...

• Extensions of several coprime results to good action case 

  Ercan, G.; Guloglu, I.S.; Jabara, E. (World Scientific, 2021)

  Let G and A be groups where A acts on G by automorphisms. We say "the action ofA onG is good"if the equality H = [H,B]CH(B) holds for any subgroup B of A and for any B-invariant subgroup H of G. It is straightforward that ...

• Evaluating the efficacy of chemical disinfectants on contaminated dental materials contaminated by an airborne disease tuberculosis similar to COVID-19 

  Karaman, B.I.; Balik, A.; Cifter, E.D.; Balikci, A.; Ozenen, G.; Ozdemir-Ozenen, D.; Ozdemir-Karatas, M. (Wolters Kluwer Medknow Publications, 2021)

  Background: Tuberculosis (TB) is a communicable disease as well as an airborne disease. Mycobacterium tuberculosis (MTB) could survive on dental materials shipped to dental laboratories. Aims: The aim of this study was to ...

• Detection and breed classification of cattle using YOLO v4 algorithm 

  Yilmaz, A.; Nur, Uzun, G.; Zahid Gurbuz, M.; Kivrak, O. (Institute of Electrical and Electronics Engineers Inc., 2021)

  Cattle detection is related to the determination of the position of cattle in the given image. Breed classification is classification of this detected animal by using the computer vision technique. This study is carried ...

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