Güncel Gönderiler: Mühendislik Fakültesi / Faculty of Engineering
Toplam kayıt 791, listelenen: 41-60
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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 ... -
Analysis of the benefits, challenges and risks for the integrated use of BIM, RFID and WSN: a mixed method research
(Emerald Group Publishing Ltd, 2023-07-11)Purpose The purpose of this study is to identify, classify and prioritize the benefits, challenges and risks for the integrated use of building information modeling (BIM), radio frequency identification (RFID) and wireless ... -
Convolutional attention network for MRI-based Alzheimer's disease classification and its interpretability analysis
(IEEE, 2021-09-17)Neuroimaging techniques, such as Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET), help to identify Alzheimer's disease (AD). These techniques generate large-scale, high-dimensional, multimodal ... -
Channel modeling and characterization for VLC-based MBSNs impaired by 3D user mobility
(IEEE, 2021-11-27)This paper focuses on channel modeling and characterization of indoor visible light communication (VLC)-based medical body sensor networks (MBSNs) which establish links between light-emitting diodes (LEDs) and MBSNs nodes ... -
k-Means clustering by using the calculated Z-scores from QEEG data of children with dyslexia
(Taylor & Francis, 2023)Learning the subtype of dyslexia may help shorten the rehabilitation process and focus more on the relevant special education or diet for children with dyslexia. For this purpose, the resting-state eyes-open 2-min QEEG ... -
Tweet sentiment analysis for cryptocurrencies
(IEEE, 2021-10-13)Many traders believe in and use Twitter tweets to guide their daily cryptocurrency trading. In this project, we investigated the feasibility of automated sentiment analysis for cryptocurrencies. For the study, we targeted ... -
Considerations for inverter topology selection and limitations in active power filtering applications
(IEEE, 2022-03-31)This paper presents a modular inverter structure utilizing hybrid SiC MOSFET based active neutral point clamped inverter for active power filter (APF) applications. An FPGA-based digital controller is developed. One major ... -
GIS aided vulnerability assessment for roads
(Springer Science and Business Media B.V., 2022-04-21)Road networks are vulnerable to natural disasters such as floods, earthquakes and forest fires which can adversely affect the travel on the network. However, not all road links equally affect the travel conditions in a ... -
Age of Information in Practice
(Cambridge University Press, 2023)While age of Information (AoI) has gained importance as a metric characterizing the freshness of information in information-update systems and time-critical applications, most previous studies on AoI have been theoretical. ... -
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. ... -
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples
(Springer, 2022-03)Deep neural network (DNN) architectures are considered to be robust to random perturbations. Nevertheless, it was shown that they could be severely vulnerable to slight but carefully crafted perturbations of the input, ... -
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 ... -
ISIKUN at the FinCausal 2020: Linguistically informed machine-learning approach for causality identification in financial documents
(Association for Computational Linguistics (ACL), 2020)This paper presents our participation to the FinCausal-2020 Shared Task whose ultimate aim is to extract cause-effect relations from a given financial text. Our participation includes two systems for the two sub-tasks of ... -
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, ... -
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 ... -
Image recovery of inaccessible rough surfaces profiles having impedance boundary condition
(IEEE, 2022)This letter addresses a reconstruction algorithm of locally rough inaccessible surface profiles via the knowledge of the scattered field data under the consideration of the impedance boundary condition (IBC). To this aim, ... -
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 ... -
On the online coalition structure generation problem
(AI Access Foundationusc Information Sciences Inst, 2021)We consider the online version of the coalition structure generation problem, in which agents, corresponding to the vertices of a graph, appear in an online fashion and have to be partitioned into coalitions by an authority ... -
Reconstruction algorithm for impenetrable rough surface profile under Neumann boundary condition
(Taylor and Francis Ltd., 2022-05-24)In this paper, an algorithm to reconstruct one-dimensional impenetrable rough surface from the knowledge of scattering field is presented. The rough surface is considered as locally perturbed and the scattering field data ...
