Yayıncı "Institute of Electrical and Electronics Engineers Inc." Mühendislik ve Doğa Bilimleri Fakültesi / Faculty Of Engineering And Natural Sciences için listeleme
Toplam kayıt 6, listelenen: 1-6
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Comparison of choreography vs orchestration based Saga patterns in microservices
(Institute of Electrical and Electronics Engineers Inc., 2022)Microservice Architecture (MSA) is a design and architecture pattern created to deal with the challenges of conventional software programs in terms of stream processing, highly available flexibility, and infrastructural ... -
Distribution games: a new class of games with application to user provided networks
(Institute of Electrical and Electronics Engineers Inc., 2022-11-29)User Provided Network (UPN) is a promising solution for sharing the limited network resources by utilizing user capabilities as a part of the communication infrastructure. In UPNs, it is an important problem to decide how ... -
El yazısı rakam sınıflandırması için gözetimsiz benzerlik tabanlı evrişimler
(Institute of Electrical and Electronics Engineers Inc., 2022)Effective training of filters in Convolutional Neural Networks (CNN) ensures their success. In order to achieve good classification results in CNNs, filters must be carefully initialized, trained and fine-tuned. We propose ... -
Inverse scattering by perfectly electric conducting (PEC) rough surfaces: an equivalent model with line sources
(Institute of Electrical and Electronics Engineers Inc., 2022)This paper presents a new method for the reconstruction of the perfectly electric conducting (PEC) rough surface profiles by utilizing electromagnetic waves. The inaccessible rough surface is illuminated by a tapered plane ... -
Optimization of inverse problems involving surface reconstruction: least squares application
(Institute of Electrical and Electronics Engineers Inc., 2022)This article addresses the least-squares method, which is vital in inverse scattering problems involving the reconstruction of inaccessible rough surface profiles from the measured scattered field data. The unknown surface ... -
Unreasonable effectiveness of last hidden layer activations for adversarial robustness
(Institute of Electrical and Electronics Engineers Inc., 2022)In standard Deep Neural Network (DNN) based classifiers, the general convention is to omit the activation function in the last (output) layer and directly apply the softmax function on the logits to get the probability ...