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Titlebook: Electrical and Computer Engineering; First International Muhammet Nuri Seyman Conference proceedings 2022 ICST Institute for Computer Scie

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书目名称Electrical and Computer Engineering
副标题First International
编辑Muhammet Nuri Seyman
视频video
丛书名称Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
图书封面Titlebook: Electrical and Computer Engineering; First International  Muhammet Nuri Seyman Conference proceedings 2022 ICST Institute for Computer Scie
描述This book constitutes the refereed proceedings of the First International Congress, ICECENG 2022, held in February 2022. Due to COVID-19 pandemic the conference was held virtually. . The 15 full and 2 short papers were selected from 48 submissions and are organized in 4 main tracks: technology trends, artificial intelligence, computing and security. The papers detail the application of formal methods to the construction and analysis of models describing technological processes at both micro and macro levels.. . .
出版日期Conference proceedings 2022
关键词artificial intelligence; classification methods; communication systems; computer hardware; computer netw
版次1
doihttps://doi.org/10.1007/978-3-031-01984-5
isbn_softcover978-3-031-01983-8
isbn_ebook978-3-031-01984-5Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2022
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Elena Marushiakova,Vesselin Popovspecially when compared with their practicality over regular bikes when it comes to speed. A mobile application can help to get the most out of a transportation device such as an E-bike, which may, in turn, aid in lessening the traffic congestion problem in Cairo, the city in which this project is b
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Gypsies in Germany and Italy, 1861-1914enge for batik artisans to survive. This research aims to develop a virtual try-on platform that is an alternative medium for artisans to solve their problems. Development platforms based on augmented reality technology can be an option for the problems. Platform designed based on mobile devices has
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https://doi.org/10.1007/978-3-476-03713-8nd high noise levels may have an impact on the overall success of computer vision systems. Computer vision applications become more powerful in low light situations when low light picture augmentation approaches are used to boost image visibility. Low light photos have a histogram that is very simil
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https://doi.org/10.1007/978-3-642-49673-8 role in the document image processing (DIP) systems. And it is necessary to develop an effective framework for this task. Many methods have been proposed for the classification of document images in literature. In this paper we propose an efficient document image classification task that uses visio
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Countable Models of Peano Arithmeticity. Contrast enhancement usually deals with low contrast and bad illumination of the scenery. There are many different methods, which are devised to overcome the problems of enhancing image quality, exist in the literature. Histogram equalization (HE) is one of these techniques. To handle the drawb
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https://doi.org/10.1007/978-3-642-11672-8ent subjects. The dataset contains 14 channel EEG signals taken from 21 subjects with their eyes closed at a resting state for 120 s with 12 different stimuli. The resting state EEG waves were selected due to better performance in classification. For the classification, a Convolutional Neural Networ
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