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Uncertainty as a Swiss army knife: new adversarial attack and defense ideas based on epistemic uncertainty
(Springer, 2022-04-02)
Although state-of-the-art deep neural network models are known to be robust to random perturbations, it was verified that these architectures are indeed quite vulnerable to deliberately crafted perturbations, albeit being ...
TROIA Adaptive optics system for DAG telescope; assembly and laboratory performance prior to on-sky assessment
(SPIE, 2022-08-29)
In this article, we describe the current status of the development of TROIA* a pyramid wavefront sensor based adaptive optics system designed for DAG, a new 4 m telescope located in Eastern Anatolia, Turkey. The wavefront ...
Enabling 5G indoor services for residential environment using VLC technology
(Elsevier B.V., 2022-03-10)
Visible light communication (VLC) has emerged as a viable complement to traditional radio frequency (RF) based systems and as an enabler for high data rate communications for beyond-5G (B5G) indoor communication systems. ...
A cooperative neural network control structure and its application for systems having dead-zone nonlinearities
(Springer International Publishing Ag, 2022-03)
An adaptive control structure utilizing two feed-forward neural networks (NN) is proposed to deal with systems having unknown nonlinearities. One of the networks is trained to mimic the nonlinear system dynamics. Its ...
Inductor saturation compensation in three-phase three-wire voltage-source converters via inverse system dynamics
(Institute of Electrical and Electronics Engineers Inc., 2022-05-01)
In three-phase three-wire (3P3W) voltage-source converter (VSC) systems, utilization of filter inductors with deep saturation characteristics is often advantageous due to the improved size, cost, and efficiency. However, ...
Closeness and uncertainty aware adversarial examples detection in adversarial machine learning
(Elsevier Ltd, 2022-07)
While deep learning models are thought to be resistant to random perturbations, it has been demonstrated that these architectures are vulnerable to deliberately crafted perturbations, albeit being quasi-imperceptible. These ...
Deri lezyonlarının evrişimsel yapay sinir ağları ile sınıflandırılması
(Pamukkale Univ, 2022-07-10)
Bu çalışmada Uluslararası Deri Görüntüleme Birliği tarafından 2019 yılında yayınlanan ve 25000’den fazla dermoskopik deri görüntüsü içeren ISIC 2019 veri seti kullanılarak 4 çeşit (Melanom, Melanositik Nevüs, Bazal Hücreli ...
BinBRO: Binary Battle Royale Optimizer algorithm
(Elsevier Ltd, 2022-02-04)
Stochastic methods attempt to solve problems that cannot be solved by deterministic methods with reasonable time complexity. Optimization algorithms benefit from stochastic methods; however, they do not guarantee to obtain ...
Maintenance policy analysis of the regenerative air heater system using factored POMDPs
(Elsevier Ltd, 2022-03)
Maintenance optimization of multi-component systems is a difficult problem. Partially Observable Markov Decision Processes (POMDPs) are powerful tools for such problems under uncertainty in stochastic environments. In this ...
CNN-Based deep learning architecture for electromagnetic imaging of rough surface profiles
(IEEE, 2022-10)
A convolutional neural network (CNN) based deep learning (DL) technique for electromagnetic imaging of rough surfaces separating two dielectric media is presented. The direct scattering problem is formulated through the ...