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                <text>Samann, Fady Esmat Fathel</text>
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                <text>Askar, Shavan</text>
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                <text>Internet of Things (IoT) systems usually produce massive amounts of data, while the number of devices connected to the internet might reach billions by now. Sending all this data over the internet will overhead the cloud and consume bandwidth. Fog computing's (FC) promising technology can solve the issue of computing and networking bottlenecks in large-scale IoT applications. This technology complements the cloud computing by providing processing power and storage to the edge of the network. However, it still suffers from performance and security issues. Thus, machine learning (ML) attracts attention for enabling FC to settle its issues. Lately, there has been a growing trend in utilizing ML to improve FC applications, like resource management, security, lessen latency and power usage. Also, intelligent FC was studied to address issues in industry 4.0, bioinformatics, blockchain and vehicular communication system. Due to the ML vital role in the FC paradigm, this work will shed light on recent studies utilized ML in a FC environment. Background knowledge about ML and FC also presented. This paper categorized the surveyed studies into three groups according to the aim of ML implementation. These studies were thoroughly reviewed and compared using sum-up tables. The results showed that not all studies used the same performance metric except those worked on security issues. In conclusion, the simulations of proposed ML models are not sufficient due to the heterogeneous nature of the FC paradigm.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/21313</text>
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                <text>Copyright (c) 2021 Fady Esmat Fathel Samann, Adnan Mohsin Abdulazeez</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 12 (2021); pp. 21-46</text>
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                <text>1865-7923</text>
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                <text>Fog Computing</text>
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                <text>Fog Computing Based on Machine Learning: A Review</text>
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              <elementText elementTextId="28643">
                <text>Haj Qasem, Mais</text>
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                <text>Abu-Srhan, Alaa</text>
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                <text>Natoureah, Hutaf</text>
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                <text>Alzaghoul, Esra</text>
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                <text>Fog-computing is a new network architecture and computing paradigm that uses user or near-users devices (network edge) to carry out some processing tasks. Accordingly, it extends the cloud computing with more flexibility the one found in the ubiquitous networks. A smart city based on the concept of fog-computing with flexible hierarchy is proposed in this paper. The aim of the proposed design is to overcome the limitations of the previous approaches, which depends on using various network architectures, such as cloud-computing, autonomic network architecture and ubiquitous network architecture. Accordingly, the proposed approach achieves a reduction of the latency of data processing and transmission with enabled real-time applications, distribute the processing tasks over edge devices in order to reduce the cost of data processing and allow collaborative data exchange among the applications of the smart city. The design is made up of five major layers, which can be increased or merged according to the amount of data processing and transmission in each application. The involved layers are connection layer, real-time processing layer, neighborhood linking layer, main-processing layer, data server layer. A case study of a novel smart public car parking, traveling and direction advisor is implemented using IFogSim and the results showed that reduce the delay of real-time application significantly, reduce the cost and network usage compared to the cloud-computing paradigm. Moreover, the proposed approach, although, it increases the scalability and reliability of the users’ access, it does not sacrifice much time, nor cost and network usage compared to fixed fog-computing design.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/9762</text>
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                <text>10.3991/ijim.v14i01.9762</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/9762/6359</text>
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            <elementTextContainer>
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                <text>Copyright (c) 2020 Mais Haj Qasem</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 01 (2020); pp. 109-125</text>
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                <text>1865-7923</text>
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                <text>Fog Computing Framework for Smart City Design</text>
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                  <text>Czech Journal of International Relations</text>
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                  <text>Institute of International Relations Prague, Ministry of Foreign Affairs of the Czech Republic</text>
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                  <text>ISSN 2788-2985 &#13;
eISSN 2788-2993</text>
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              <elementText elementTextId="72183">
                <text>Prokůpková, Vendula</text>
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            <name>Date</name>
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              <elementText elementTextId="72184">
                <text>2023-02-01</text>
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                <text>This paper deals with the transnational cooperation of the Czech and German extreme right. The paper focuses on one of the most prominent international partners of the Czech extreme right – the German Nationaldemokratische Partei Deutschlands. By adopting the discourse analytical framework of the Essex School, the author focuses on revealing the discursive conditions as conditions of possibility within which the cooperation between the NPD and the Czech extreme right has gradually formed over the last 25 years (1996-2021). The author of the text first briefly summarises the NPD’s history and explores the development of the party’s foreign policy conception since the second half of the 1990s, when the party became radicalized and opened itself up to a cooperation with the neo-Nazi movement. Further, reflecting on the changes in the NPD’s political discourse, the author explores the discursive conditions of various stages of the NPD’s cooperation with the Czech extreme right.</text>
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                <text>https://cjir.iir.cz/index.php/cjir/article/view/12</text>
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                <text>10.32422/mv-cjir.12</text>
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                <text>Institute of International Relations Prague</text>
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                <text>https://cjir.iir.cz/index.php/cjir/article/view/12/534</text>
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                <text>10.32422/mv-cjir.534</text>
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            <elementTextContainer>
              <elementText elementTextId="72193">
                <text>Copyright (c) 2023 Czech Journal of International Relations</text>
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                <text>https://creativecommons.org/licenses/by-nd/4.0</text>
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                <text>Czech Journal of International Relations; Vol. 57 No. 4 (2022); 7-40</text>
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                <text>2788-2993</text>
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                <text>extreme right</text>
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                <text>For the Reich and the Europe of Nations! The “New” NPD as a Paragon and Cooperation Partner of the Czech Extreme Right</text>
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                  <text>Indiana International &amp; Comparative Law Review</text>
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                <text>Campbell, Neil</text>
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                <text>Preston, Elisabeth</text>
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                <text>O'Hara, Jonathan</text>
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                <text>https://journals.iupui.edu/index.php/iiclr/article/view/17872</text>
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                <text>Copyright (c) 2019 Olga Vladimirovna Galustyan, Natalia Ivanovna Vyunova, Emilia Pavlovna Komarova, Elena Sergeevna Shusharina, Saida Sosoevna Gamisonija, Oksana Nikolaevna Sklyarova</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 11 (2019); pp. 184-196</text>
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                <text>Copyright (c) 2020 Olga Vladimirovna Galustyan, Sergey Alexandrovich Borozdin, Maxim Aleksandrovich Pleshakov, Nailya Nurgayanovna Askhadullina, Lidia Alekseevna Radchenko</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 14 (2020); pp. 205-213</text>
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