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                  <text>The University of Queensland Law Journal</text>
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                <text>Bedford, Narelle</text>
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                <text>This article provides a First Nations standpoint on climate change, informed by human rights law and legal education. It is co-authored by a Yuin woman who is a law academic, a Wirdi man who is a Queens Counsel, and a human rights law academic. The article argues that for any responses to climate change to be effective, they must be grounded in the perspectives, knowledge, and rights of First Nations peoples. The utility of human rights instruments to protect First Nation interests in a climate change milieu is explored at the international and domestic levels. Concomitantly, structural change must begin with the Indigenisation of legal education and the embedding of legal responses to climate change into the law curriculum. A holistic approach is necessary.&amp;nbsp;</text>
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                <text>The University of Queensland School of Law</text>
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                <text>Copyright (c) 2021 The University of Queensland Law Journal</text>
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                <text>The University of Queensland Law Journal; Vol. 40 No. 3 (2021): The University of Queensland Law Journal; 371-402</text>
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                <text>1839-289X</text>
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                <text>First Nations Peoples, Climate Change, Human Rights and Legal Rights</text>
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                <text>Matijasevich, David</text>
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                <text>Outside of some states still struggling with post-communist transitions, Europe itself may be the first European democracy to collapse in decades. Though never a bastion of participatory democracy and even subject to continuous criticism due to its democratic deficit, the European Union (EU) has provided hope to those who envision a post-national democratic political community. As such, whether the EU survives its present crisis or not, cosmopolitan democrats will look to the EU as a vindication of their ideals. Though perhaps surprising given their track record, this paper will argue that political scientists, especially those concerned with democratization, can also be optimistic about what the EU has brought to the table in terms of how we conceive processes of democratic development. Throughout the paper it will be demonstrated that the creation and maintenance of the European democracy has challenged much of the literature's fundamental assumptions of what makes democracy work. Five key lessons from the European democratic experience will be presented in an attempt to disrupt some of these assumptions including lessons regarding the diversity of the demos, the contingency of democratic upkeep, the challenges of the state, the role of elites in political transformation, and the necessity of exclusion within inclusive spaces. Though a general theory of democracy will not be presented, suggestions will be made as to how we can incorporate some of these lessons into the dominant approaches to democracy found in the literature.
&amp;nbsp;
Full text available at: https://doi.org/10.22215/rera.v7i1.214</text>
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                <text>https://ojs.library.carleton.ca/index.php/CJERS/article/view/2475</text>
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                <text>Centre for European Studies, Carleton University</text>
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                <text>Canadian Journal of European and Russian Studies; 2012: RERA V7:1 Special ECSA-C Conference Issue (backfile abstracts)</text>
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                <text>2562-8429</text>
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                <text>Five Lessons from European Democracy</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Saraubon, Kobkiat</text>
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                <text>Tangthirasunun, Natdanai</text>
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                <text>Flashover on transmission and distribution line insulators occurs when the insulator’s resistance drops to a critical level and causes frequent power outages. Thin layers of dust, salt, and airborne particles, gradually deposited on the surface of insulators, as well as humidity, form an electrolyte which causes flashover.  In this paper, a flashover prevention system using IoT technology and machine learning is proposed in order to reduce loss and increase power reliability. The system includes an IoT module, a service and clients. The IoT module prototype was installed at a distribution line pole located in Pracha-utit, Bangkok, Thailand and had collected data for thirty-four months. The data were pre-processed and split for the training process and evaluation. In this study, we built and compared four models including linear regression, polynomial regression, Auto-regressive Integrated Moving Average (ARIMA) and Long Short-Term Memory (LSTM) models. The results revealed that the LSTM model outperformed (R2=.931, RMSE= 530.74) the others.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/20753</text>
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                <text>10.3991/ijim.v15i11.20753</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/20753/9315</text>
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                <text>Copyright (c) 2021 Kobkiat Saraubon</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 11 (2021); pp. 34-48</text>
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                <text>1865-7923</text>
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                <text>Smart grid</text>
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                <text>Flashover Prevention System using IoT and Machine Learning for Transmission and Distribution Lines</text>
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                <text>Hashimova, Albina</text>
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                <text>Prasolov, Valeriy</text>
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                <text>Burlakov, Vyacheslav</text>
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                <text>Semenova, Larisa</text>
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                <text>The aim of the article is to study the modern mobile learning system, to understand its advantages and disadvantages, and to determine the relationship between the concepts of digital learning. The goal of the study is to conduct an experiment on the implementation of a flexible mobile application for studying the "macroeconomics" by students of economic specialties and to compare the results obtained with the selected control group. A total of 20 sophomores (10 each from two universities: Sechenov University, Department of Economics and Management; and Azerbaijan State Economic University, Department of Economic Theory) were offered to study the course in macroeconomics using a mobile application during the semester (from September to December 2019). Students were selected from two universities for the scientific objectivity and from the second year of the bachelor's degree, since "macroeconomics" is studied in the early courses, regardless of the further, specific economic direction of the student. Students did not attend lectures and practical classes with a teacher; all training was performed with the help of an application. A control group of the same specialty and year (also 20 people) was selected to confirm or contradict the effectiveness of such a mobile application. The control group students studied "macroeconomics" in the traditional way, namely attending lectures and practical classes with a teacher, during this semester. As a result of the experiment, the study group students liked training with the application. Meanwhile, 70% of the students would not like to have such training for all disciplines, permanently. But students supported studying using a special mobile app as a supplement to the main format of teaching. During the final examination, held by the traditional method (a written exam - answers to 4 open questions and 10 multiple choice questions), the following results were obtained. Students, who were using m-learning, on average, got higher results by 0.2 points, according to the overall assessment, a 5-grade scale, and separately according to the test results more by 2 correct answers than students with the traditional education. Thus, this can be explained since students using mobile app practiced material in a form of game or case, which helped them to immerse themselves more in the problem and to assimilate the material. The results were compared with the research of other scientists.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/18469</text>
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                <text>10.3991/ijim.v14i21.18469</text>
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                <text>eng</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/18469/8433</text>
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                <text>Copyright (c) 2020 Albina Hashimova, Valeriy Prasolov, Vyacheslav Burlakov, Larisa Semenova</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 21 (2020); pp. 51-63</text>
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                <text>1865-7923</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 09 (2020); pp. 110-127</text>
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                <text>1865-7923</text>
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                <text>Khaimook, Kanit</text>
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                <text>The data of impacts and damage caused by floods is necessary for manipulation to assist and relieve those impacts in each area. The main issue for data acquisition was acquisition methods that affect the durations, accuracy, and completeness of data obtained. Most data are currently obtained by field survey for data on impacts in each area. However, this method contains limitations, i.e., taking a long time, high cost, and no real-time data visualization. Thus, this research presented the study to develop an application for inspecting areas under impact and damage caused by floods using deep learning classification for flood classification and land use type classification in the affected areas using digital images, remote sensing data, and crowdsource data notified by users through the accuracy assessment application of classification. It was found that deep learning classification for flood classification had 97.50% accuracy, with Kappa = 0.95. Land use type classification had 93.71% accuracy, with Kappa = 0.91. Flood damage assessment process in this research was different from other previous research that used geospatial data for flood damage inspection, e.g., satellite images. In contrast, this research brought damage data notified by users for processing with flood data in each area by satellite image processing and land use types of classification. The proposed application can calculate damage in each area and visualize real-time results in maps and graphs on the dashboard via the application. Besides, the presented method can be used to verify and visualize data of areas under impact and damage caused by floods in different areas.</text>
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                <text>Copyright (c) 2022 Assoc.Prof.Dr.Supattra Puttinaovarat, Aekarat  Saeliw, Siwipa  Pruitikanee, Asst.Prof.Dr.Jinda Kongcharoen, Asst.Prof.Dr.Supaporn Chai-Arayalert, Assoc.Prof.Dr.Kanit Khaimook</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 21 (2022); pp. 71-97</text>
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              <elementText elementTextId="51381">
                <text>1865-7923</text>
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            <name>Subject</name>
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                <text>Flood damage assessment</text>
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                <text>Deep Learning Classification</text>
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                <text>Flood Damage Assessment Geospatial Application Using Geoinformatics  and Deep Learning Classification</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Puttinaovarat, Supattra</text>
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                <text>Sriklin, Teerawad</text>
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                <text>Dangtia, Sompop</text>
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                <text>Khaimook, Kanit</text>
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                <text>Every flood causes damages to many lives and properties. Moreover, it affects the economy and lifestyle of people in the society in a short period and a long period. In consequence, this research would demonstrate techniques and flood detection analyzed through digital images and web application development for receiving reports and inspection of flood situation in every area. The process requires crowdsource data and uses 3S technology so it will receive the accurate and real-time data for making a decision in the flood management and aids to the people in the disastrous area. In this research, Convolutional neural network was applied for flood detection and classification using digital images and data from people or the victims. According to the study, it was found that convolutional neural network for flood classification has accuracy of data at the high level or 95.50%, 93.00%, 97.89%, and 0.91 which are the results of accuracy, producer accuracy, user accuracy, and kappa statistics, respectively. Besides, the use of this technique saves cost, time, and labors. Furthermore, the method could be applied to other disasters such as landslide, earthquake, and fire. It is able to monitor the incident in each type of disasters and also examines the damaged site after the incident.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/17243</text>
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                <text>10.3991/ijim.v14i20.17243</text>
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            <description>A language of the resource</description>
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                <text>eng</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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              <elementText elementTextId="38441">
                <text>Copyright (c) 2020 Supattra Puttinaovarat, Teerawad Sriklin, Sompop Dangtia, Kanit Khaimook</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 20 (2020); pp. 117-134</text>
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              <elementText elementTextId="38443">
                <text>1865-7923</text>
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            <name>Subject</name>
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                <text>Flood Identification</text>
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                <text>CNN</text>
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                <text>Flood Disaster Identification and Decision Support System using Crowdsource Data Based on Convolutional Neural Network and 3S Technology</text>
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                  <text>Journal of Naval Architecture and Marine Engineering</text>
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                <text>Prasad, K. Maruthi</text>
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                <text>Yasa, Prabhaker Reddy</text>
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                <text>In this paper, the effect of slip on Micropolar fluid in a circular tube of non-uniform cross-section with multiple stenosis have been studied. The coupled equations governing to the flow are calculated by using Homotopy Perturbation Method. The effects of various parameters with heights of the stenosis on the resistance to the flow and wall shear stress have been studied by deriving the expressions for the flow characteristics and their solutions have been obtained. It is found that the resistance to the flow increases with the heights of the stenosis, inclination, Thermophoresis parameter, local temperature Grashof number, local nanoparticle Grashof number, inclination and permeability constant and decreases with Brownian motion parameter. It is found that the shear stress at the wall increases with heights of the stenosis, Brownian motion parameter but decreases with local nanoparticle Grashof number, Thermophoresis parameter and permeability constant. Also, it is observed that the volume of the bolus increases with the increase of permeability constant.</text>
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                <text>https://www.banglajol.info/index.php/JNAME/article/view/40942</text>
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                <text>10.3329/jname.v17i1.40942</text>
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                <text>eng</text>
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                <text>Association of Naval Architects and Marine Engineers</text>
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                <text>https://www.banglajol.info/index.php/JNAME/article/view/40942/34454</text>
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          <element elementId="47">
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="68023">
                <text>Copyright (c) 2020 Journal of Naval Architecture and Marine Engineering</text>
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            <name>Source</name>
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              <elementText elementTextId="68024">
                <text>Journal of Naval Architecture and Marine Engineering; Vol. 17 No. 1 (2020); 31-38</text>
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                <text>2070-8998</text>
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              <elementText elementTextId="68026">
                <text>1813-8535</text>
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                <text>Flow of non-Newtonian fluid through a permeable artery having non-uniform cross section with multiple stenosis</text>
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                  <text>Journal of Naval Architecture and Marine Engineering</text>
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            <name>Creator</name>
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              <elementText elementTextId="64522">
                <text>Alam, Md Mahmud</text>
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                <text>Begum, Delowara</text>
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                <text>Yamamoto, K</text>
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              <elementText elementTextId="64525">
                <text>2008-09-08</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>The effects of torsion, aspect ratio and curvature on the flow in a helical pipe of rectangular cross- section are studied by introducing a non-orthogonal helical coordinate system. Spectral method is applied as main tool for numerical approach where Chebyshev polynomial is used. The numerical calculations are obtained by the iterative method. The calculations are carried out for 0â¤ Î´ â¤0.02, 1â¤ Î» â¤ 2.85, 1â¤ Î³ â¤2.4, at Dn = 50 &amp;amp; 100 respectively, where d is the non-dimensional curvature, l the torsion parameter, g the aspect ratio andÂ  Dn the pressure driven parameter (Dean number).DOI: http://dx.doi.org/10.3329/jname.v4i2.991Â Journal of Naval Architecture and Marine Engineering Vol.4(2) 2007 p.99-110</text>
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                <text>application/pdf</text>
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                <text>https://www.banglajol.info/index.php/JNAME/article/view/991</text>
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                <text>10.3329/jname.v4i2.991</text>
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                <text>eng</text>
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                <text>Association of Naval Architects and Marine Engineers</text>
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                <text>https://www.banglajol.info/index.php/JNAME/article/view/991/1120</text>
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            <elementTextContainer>
              <elementText elementTextId="64533">
                <text>Journal of Naval Architecture and Marine Engineering; Vol. 4 No. 2 (2007); 99-110</text>
              </elementText>
              <elementText elementTextId="64534">
                <text>2070-8998</text>
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              <elementText elementTextId="64535">
                <text>1813-8535</text>
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          <element elementId="49">
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              <elementText elementTextId="64536">
                <text>Spectral method</text>
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              <elementText elementTextId="64537">
                <text>non-orthogonal helical coordinate system</text>
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                <text>Chebyshev polynomial</text>
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                <text>steady fluid flow</text>
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                <text>helical pipe</text>
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                <text>Dean number</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="64542">
                <text>Flow through a helical pipe with rectangular cross-section</text>
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            </elementTextContainer>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
                </elementText>
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      <name>Dataset</name>
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          <element elementId="39">
            <name>Creator</name>
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              <elementText elementTextId="46884">
                <text>Wheeb, Ali Hussein</text>
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            <name>Date</name>
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              <elementText elementTextId="46885">
                <text>2022-02-28</text>
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            <description>An account of the resource</description>
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                <text>Flying Ad hoc Networks (FANETs) has developed as an innovative technology for access places without permanent infrastructure. This emerging form of networking is construct of flying nodes known as unmanned aerial vehicles (UAVs) that fly at a fast rate of speed, causing frequent changes in the network topology and connection failures. As a result, there is no dedicated FANET routing protocol that enables effective communication between these devices. The purpose of this paper is to evaluate the performance of the category of topology-based routing protocols in the FANET. In a surveillance system involving video traffic, four routing protocols with varying routing mechanisms were examined. Additionally, simulation experiments conducted to determine the influence of flying altitude. The results indicate that hybrid routing protocols outperform other types of protocols in terms of average throughput. Proactive protocols, on the other hand, have the least jitter.</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>application/pdf</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/28235</text>
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              <elementText elementTextId="46889">
                <text>10.3991/ijim.v16i04.28235</text>
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            <description>A language of the resource</description>
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                <text>eng</text>
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            <name>Publisher</name>
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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/28235/10845</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="46893">
                <text>Copyright (c) 2022 Ali Hussein Wheeb</text>
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              <elementText elementTextId="46894">
                <text>https://creativecommons.org/licenses/by/4.0</text>
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              <elementText elementTextId="46895">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 04 (2022); pp. 137-149</text>
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              <elementText elementTextId="46896">
                <text>1865-7923</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="46897">
                <text>Multi-UAV</text>
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                <text>Flying ad hoc Networks</text>
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                <text>Topology-Based Routing Protocol</text>
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                <text>Gauss Markov</text>
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                <text>Flying Altitude</text>
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          <element elementId="50">
            <name>Title</name>
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              <elementText elementTextId="46902">
                <text>Flying Ad hoc Networks (FANET): Performance Evaluation of Topology Based Routing Protocols</text>
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                <text>info:eu-repo/semantics/article</text>
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                <text>Peer-reviewed Article</text>
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