Konu "Deep Learning" için WoS İndeksli Yayınlar Koleksiyonu listeleme
Toplam kayıt 6, listelenen: 1-6
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Application of artificial intelligence algorithms on modeling of reflection phase characteristics of a nonuniform reflectarray element
(John Wiley and Sons Ltd, 2020)Reflectarray antennas (RAs) have the ability to combine the advantages of both traditional parabolic reflector and phased array antennas without the need for feed network designs. Microstrip reflectarrays (MRAs) have the ... -
Data-Driven Surrogate-Assisted Optimization of Metamaterial-Based Filtenna Using Deep Learning
(MDPI, 2023)In this work, a computationally efficient method based on data-driven surrogate models is proposed for the design optimization procedure of a Frequency Selective Surface (FSS)-based filtering antenna (Filtenna). A Filtenna ... -
Deep learning base modified MLP model for precise scattering parameter prediction of capacitive feed antenna
(WILEY, 2019)The relations between the antennas' geometrical parameters and design specifications usually consist of linear and nonlinear components. Especially with the increase of the requested performance measures, the design procedure ... -
Early prediction of sepsis from clinical data using artificial intelligence
(Institute of Electrical and Electronics Engineers Inc., 2019)Sepsis is a major cause of death in the world. World Health Organization estimates 30 million people developing sepsis and 6 million people die from sepsis each year; an estimated 4.2 million newborns and children are ... -
Object Detection in Shelf Images with YOLO
(Institute of Electrical and Electronics Engineers Inc., 2019)Object detection in shelf images can solve many problems in retails sales such as monitoring the number of products on the shelves, completing the missing products and matching the planogram continuously. This study aims ... -
Olaya İlişkin Potansiyellerde Derin Öğrenme ile Örüntü Sınıflandırması
(IEEE, 2018)Cognitive state of a person can be monitored by the use of brain electrical activity measurements (Electroencephalogram, EEG). In the concept of this study, it is aimed to classify EEG topographies using deep learning. ...