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Toplam kayıt 10, listelenen: 1-10
A clustering-based approach for the evaluation of candidate emerging technologies
(Springer, 2020)
The aim of this study is to propose a clustering-based approach based on patent information for the evaluation of candidate emerging technologies. The proposed approach uses patent analysis and clustering approaches in ...
Investigation of microwave power limiter for Industrial Scientific Medical band (ISM) applications
(Wiley, 2020)
In this paper, a new design of microstrip power limiter which is based on microstrip technology and zero bias Schottky diode is introduced. In this context, the FR-4 substrate that was characterized by dielectric permittivity ...
Computation of Robust PI-Based Pitch Controller Parameters for Large Wind Turbines
(IEEE Canada, 2020)
This paper deals with the computation of all proportional-integral (PI)-based pitch controllers which achieve the desired frequency-domain specifications, namely, gain and phase margins (GPMs) of a large wind turbine (LWT) ...
Improving Autonomous Performance of a Passive Morphing Fixed Wing UAV
(Kauno Technologijos Universitetas, 2020)
In this article, simultaneous longitudinal and lateral flight control systems design for both passive and active morphing unmanned aerial vehicles (UAVs) is first time applied for autonomous flight performance maximization. ...
A reflection-only method for characterizing PEC-backed anisotropic materials using waveguide higher order modes
(Wiley, 2020)
This paper presents a new reflection-only set-up for characterizing the properties of an anisotropic PEC-backed materials. Albeit, the reflection-only methods are established long ago, they are not elaborated appropriately ...
Regression-Based Neuro-Fuzzy Network Trained by ABC Algorithm for High-Density Impulse Noise Elimination
(Institute of Electrical and Electronics Engineers Inc., 2020)
Salt and pepper (SAP) noise elimination is a crucial step for further image processing and pattern recognition applications. The main aim of this article is to propose a novel SAP noise elimination method which employs a ...
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 ...
iBioProVis: interactive visualization and analysis of compound bioactivity space
(NLM (Medline), 2020)
iBioProVis is an interactive tool for visual analysis of the compound bioactivity space in the context of target proteins, drugs and drug candidate compounds. iBioProVis tool takes target protein identifiers and, optionally, ...
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, ...
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 ...