Başlık için Bilgisayar Mühendisliği listeleme
Toplam kayıt 91, listelenen: 1-20
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Adaptive second order sliding mode guidance law for missile-target interception with fuzzy logic system
(SAGE Publications, 2023)This paper presents the design of a 3D missile guidance law based on a second order sliding mode control technique employing an adaptive tuning law and a fuzzy gain scheduling. At the outset, the super-twisting sliding ... -
Analysis of functional brain connections for positive-negative emotions using phase locking value
(Springer, 2017)In this study, we investigate the brain networks during positive and negative emotions for different types of stimulus (audio only, video only and audio + video) in , and bands in terms of phase locking value, a nonlinear ... -
Approximate analytical solutions of a class of non-linear fractional boundary value problems with conformable derivative
(Serbian Society of Heat Transfer Engineers, 2021)In this paper, it is presented that an approximate solution of a class of non-linear differential equations with conformable derivative under boundary conditions by using sinc-Galerkin method that is not used to approximately ... -
Approximate solutions of Volterra-Fredholm integro-differential equations of fractional order
(Tbilisi Centre For Mathematical Sciences, 2017)In this study, sine-collocation Method is introduced for solving Volterra-Fredholm integro-differential equations of fractional order. Fractional derivative is described in the Caputo sense, Obtained results are given to ... -
Arttırılmış Oransal Seyrüsefer Güdümüne Gözleyici Etkisinin Farklı Hedef Modellerine Göre İncelenmesi
(Institute of Electrical and Electronics Engineers Inc., 2022)In this study, a new three-dimensional (3D) guidance law based on an the augmented proportional navigation guidance law utilizing a disturbance observer (DOB) technique is proposed considering different target models. The ... -
Beyin Bilgisayar Arayüzü Tabanli Görsel Tespit Sistemi
(Institute of Electrical and Electronics Engineers Inc., 2017)Bu çalışmada görsel verilerin EEG sinyali üzerinde meydana getirdiği p300 bileşeni kullanılarak örüntü tanıma tabanlı beyin bilgisayar ara yüzü geliştirilmiştir. EMOTIV EPOC+ kayıt cihazı ve OPENVIBE yazılımı kullanılarak ... -
Breast cancer diagnosis using deep belief networks on ROI images
(Pamukkale Üniversitesi, 2022)Hand-crafted features are efficient methods for image processing, recognition, and computer vision. However, the advancements in data size and image resolution lead to inconvenience in feature extraction. Moreover, they ... -
Bul-Tak Oyuncağı Şekillerinin Klasik Görüntü İşleme ve Derin Öğrenme Yöntemleri ile Tespiti
(Bitlis Eren Üniversitesi, 2021)Bilgisayar görme algoritmaları, teknolojinin ilerlemesiyle daha kullanılır hale gelmektedir. Klasik yöntemler olan görüntü işleme ve makine öğrenmesi algoritmaları ile yapılan bilgisayarlı görü uygulamaları halen kullanılsa ... -
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
(Bmc, 2019)Background The Critical Assessment of Functional Annotation (CAFA) is an ongoing, global, community-driven effort to evaluate and improve the computational annotation of protein function. Results Here, we report on the ... -
Case Study: Deep Convolutional Networks in Healthcare
(Springer Verlag, 2020)Technological improvements lead big data producing, processing and storing systems. These systems must contain extraordinary capabilities to overcome complexity of the big data. Therefore, the methodologies utilized for ... -
Chronic obstructive pulmonary disease severity analysis using deep learning on multi-channel lung sounds
(Türkiye Klinikleri, 2020)Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases which cannot be treated but can be kept under control in certain stages. COPD has five severities, including at-risk, mild, moderate, severe, ... -
CLAHE based Enhancement to Transfer Learning in COVID-19 Detection
(Gazi Akademi Yayıncılık, 2022)Early diagnosis of COVID-19 disease becomes possible with the enhancements on feature learning and advanced pre-processing stages for classification of chest X-ray images using deep learning. Besides, high-performance ... -
A collocation method for solving boundary value problems of fractional order
(Sakarya Üniversitesi, 2018)In this work, the Sinc-Collocation Method (SCM) is used to find the approximate solutions of the secondorder fractional boundary value problems based on the conformable fractional derivative. For this purpose, a theorem ... -
Control System Implementation on an FPGA Platform
(Elsevier, 2016)This paper presents PID and SMC control schemes on a Field Programmable Gate Array device (FPGA) for robot manipulators. The implementation of the control systems on FPGA by using optimal hardware resources is one of the ... -
Current Operational Amplifier Based Voltage-Mode MOS-C All-Pass Filter and Its Application
(Gazi Üniversitesi, 2020)In this work, a novel first order voltage-mode all-pass filter employing single active element named current operational amplifier (COA), two resistors, one capacitor and it's application as sinusoidal oscillator is ... -
Deep Convolutional Generalized Classifier Neural Network
(Springer, 2020)Up to date technological implementations of deep convolutional neural networks are at the forefront of many issues, such as autonomous device control, effective image and pattern recognition solutions. Deep neural networks ... -
A deep learning architecture for identification of breast cancer on mammography by learning various representations of cancerous mass
(Springer, 2021)Deep Learning (DL) is a high capable machine learning algorithm with the detailed analysis abilities on images. Although DL models achieve very high classification performances, the applications are trending on using and ... -
Deep Learning for COPD Analysis Using Lung Sounds
(Baku State University, 2018)In this study, Hilbert-Huang Transform (HHT) was applied to the lung sounds from RespiratoryDatabase@TR and the statistical features were calculated from the different modulations of the HHT. The statistical features were ... -
Deep Learning on Computerized Analysis of Chronic Obstructive Pulmonary Disease
(Institute of Electrical and Electronics Engineers Inc., 2020)Goal: Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases in the world. Because COPD is an incurable disease and requires considerable time to be diagnosed even by an experienced specialist, it ... -
Deep learning with 3D-second order difference plot on respiratory sounds
(Elsevier, 2018)The second order difference plot (SODP) is a nonlinear signal analysis method that visualizes two consecutive data points for many types of biomedical signals. The proposed method is based on analysing quantization of ...
