Başlık için Mühendislik ve Doğa Bilimleri Fakültesi listeleme
Toplam kayıt 136, listelenen: 81-100
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Long Short-Term Memory Network-based Speed Estimation Model of an Asynchronous Motor
(IEEE (Institute of Electrical and Electronics Engineers), 2021)In this paper, an effective deep rotor speed estimation model of an asynchronous motor is presented. The estimation model is based on the long short-term memory (LSTM) network which is one of the deep learning models. The ... -
Mechanical and microstructural properties of polypropylene fiber-reinforced geopolymer composites
(The Society of Fiber Science and Technology, 2019)Geopolymers are a kind of polymeric material that can be formed using industrial applications based on inorganic polycondensation. They can be used in applications to replace traditional cement with environmental and ... -
MTU-COVNet: A hybrid methodology for diagnosing the COVID-19 pneumonia with optimized features from multi-net
(Elsevier, 2022)COVID-19PneumoniaArtificial intelligence (AI)Deep learningComputed tomography (CT) -
Mutations in the SARS CoV-2 spike protein may cause functional changes in the protein quaternary structure
(Turkish Journal of Biochemistry, 2021)Objectives: This study aimed to model the changes resulting from mutations in surface (spike/S) glycoproteins, which play a key role in the entry of the severe acute respiratory syndrome coronavirus-2 (SARS CoV-2) into ... -
Nanofluids: preparation, stability, properties, and thermal performance in terms of thermo-hydraulic, thermodynamics and thermo-economic analysis
(Springer, 2021)In recent years, with the adaptation of nanotechnological engineering applications to complex systems, the use of nanofluids with better thermo-physical properties compared to conventional fluids has become widespread. In ... -
NCA-based hybrid convolutional neural network model for classification of cervical cancer on gauss-enhanced pap-smear images
(Wiley-Blackwell, 2022)Cervical cancer is a very serious disease that deeply affects women's lives, often resulting in death. This type of cancer, which is very common in women, is diagnosed at an early stage and is of vital importance for the ... -
A new 3D segmentation approach using extreme learning machine algorithm and morphological operations
(Elsevier, 2020)Segmentation is one of the most crucial steps of image processing. Because 3D images contain depth information, they have gradually gained importance for numerical systems in image analysis. In the present study, a new 3D ... -
A New Framework for Automatic Detection of Patients With Mild Cognitive Impairment Using Resting-State EEG Signals
(IEEE (Institute of Electrical and Electronics Engineers), 2020)Mild cognitive impairment (MCI) can be an indicator representing the early stage of Alzheimier's disease (AD). AD, which is the most common form of dementia, is a major public health problem worldwide. Efficient detection ... -
A New Secure and Efficient Approach for TRNG and Its Post-Processing Algorithms
(World Scientific, 2020)Chaotic systems; post-processing; post-processing algorithm; secure random numbers -
A new semi-analytical approach for self and mutual inductance calculation of hexagonal spiral coil used in wireless power transfer systems
(Springer, 2021)Several methods have been proposed in the literature for the calculation of self and mutual inductance. These methods include the use of complex integral analysis, the necessity of having primary and secondary coils with ... -
A New Signal to Image Mapping Procedure and Convolutional Neural Networks for Efficient Schizophrenia Detection in EEG Recordings
(Institute of Electrical and Electronics Engineers Inc., 2022)Machine learning has been densely used in most computer-aided medical diagnosis systems. These systems not only supported the physician’s decision but also accelerate the necessitated procedures. Electroencephalography ... -
Nonlinear and Equivalent Linear Site Response Analysis of Istanbul Soils
(Malatya Turgut Ozal University, 2021)The effect of local soil characteristics on the propagation of earthquake waves has been commonly studied by researchers. However, the validity of the results obtained by these studies is limited only to the relevant soil ... -
A Novel Analog Modulation Classification: Discrete Wavelet Transform-Extreme Learning Machine (DWT-ELM)
(Bitlis Eren Üniversitesi, 2021)The aim of this study is to propose a method using discrete wavelet transform and extreme learning machine (DWT-ELM) in classification of communication signals. Six types of analog modulated signals as “AM”, “DSB”, “USB”, ... -
A novel deep learning-based feature selection model for improving the static analysis of vulnerability detection
(Springer, 2021)The automatic detection of software vulnerabilities is considered a complex and common research problem. It is possible to detect several security vulnerabilities using static analysis (SA) tools, but comparatively high ... -
NTCDA compounds of optoelectronic interest: Theoretical insights and experimental investigation
(Elsevier, 2021)Structural, electronic, and spectroscopic properties of 1,4,5,8-naphthalene-tetracarboxylic dianhydride organic semiconductor molecule are reported based on experimental and computational methods. The spectroscopic ... -
Numerical Analysis of Geotechnical Seismic Isolation System for High-Rise Buildings
(Malatya Turgut Özal Üniversitesi, 2021)Seismic isolation is a method of protecting buildings from earthquake-induced deformations by using isolators and devices under the superstructure. The purpose of the seismic isolation method is to reduce the earthquake ... -
On extremal rough i-convergence limit point of triple sequence spaces defined by a metric function
(Korean Society for Computational and Applied Mathematics, 2020)We introduce and study some basic properties of rough I-convergent of triple sequence spaces and also study the set of all rough I-limits of a triple sequence spaces. -
On ideally slowly oscillating continuity in abstract space
(Chiang Mai University, 2021)In this paper, we introduce the notion of ideally slowly oscillating sequences, which is lying between ideal convergent and ideal quasi-Cauchy sequences, and study on ideally slowly oscillating continuous functions in ... -
On the generating function for bernstein polynomials of triple sequences
(Valahia University of Targoviste, 2021)The aim of this paper is to give main properties of the generating function of the Bernstein polynomials of triple sequence spaces. It was proved the recurrence relations and derivative formula for Bernstein polynomials ... -
Optimal PI Kontrolör Tasarımı için Üçgenler Ağında Lineer Enterpolasyon Yöntemiyle Kararlılık Sınır Yüzeyinin Oluşturulması
(Bitlis Eren Üniversitesi, 2020)Bu çalışmada, PI parametrelerinin grafiksel olarak hesaplanması için geliştirilen kararlılık sınır eğrisi kullanılarak, yeni bir yaklaşım önerilmiştir. Geleneksel kararlılık sınır eğrisi, kapalı çevrim sistemin karakteristik ...
