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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Hussain, Azham</text>
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                <text>Mkpojiogu, Emmanuel O.C.</text>
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                <text>Ishak, Norzila</text>
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                <text>Mokhtar, Nurhidayah</text>
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                <text>Mobility is the trend right now. It is transforming the user experience from the confines of the desk to the convenience of anytime-anywhere. MyEG Services Berhad ("MYEG") is a concessionaire for Malaysian Electronic-Government ("E-Government") MSC Flagship Application. MYEG builds, operates and owns the electronic channel that delivers services from various Government agencies to Malaysia citizens and businesses. To make their services up-to-date and in trend, MyEG app was developed and can also be used to check summons, pay summons, renew road-tax and renew auto insurance. To make sure that this application is efficient, fulfilling the customer needs and satisfaction, a usability evaluation was conducted. The evaluation was conducted in “Jabatan Teknologi Maklumat &amp;amp; Komunikasi, Politeknik Seberang Perai”, with 15 participants consisting of both lecturers and students. The think-aloud protocol was used while conducting the evaluation. The result of the evaluation revealed that overall the app is efficient, successful in fulfilling the users’ requirement and needs and promotes users mobile experience.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/11306</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="31662">
                <text>Copyright (c) 2019 Azham Hussain, Emmanuel O.C. Mkpojiogu, Norzila Ishak, Nurhidayah Mokhtar</text>
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              <elementText elementTextId="31663">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 11 (2019); pp. 4-23</text>
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              <elementText elementTextId="31664">
                <text>1865-7923</text>
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                <text>Mobile experience</text>
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                <text>think-aloud protocol</text>
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                <text>A Study on the Perceived Mobile Experience of Myeg Users</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Alghafis, Aseel</text>
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                <text>Alrasheed, Atheer</text>
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                <text>Abdulghany, Amal</text>
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                <text>Nowadays, e-learning management systems are used in many universities around the world. In Saudi Arabia, universities use several systems such as Moodle and Blackboard. However, only little empirical research has been conducted on Saudi students’ preference for such systems. This study compared the usability of Moodle and Blackboard systems among Saudi university students. Specifically, three comparison metrics have been considered: user interface, download and upload service and materials organization. The results showed that the students preferred Moodle and believed that it is more usable than Blackboard in all studied metrics.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/14381</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/14381/7359</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="35781">
                <text>Copyright (c) 2020 Dina M. Ibrahim</text>
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              <elementText elementTextId="35782">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 10 (2020); pp. 159-165</text>
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              <elementText elementTextId="35783">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>E-learning</text>
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                <text>Learning Management Systems</text>
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                <text>Usability</text>
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                <text>A Study on the Usability of Moodle and Blackboard – Saudi Students Perspectives</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="23120">
                <text>Abubakar, Adamu</text>
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              <elementText elementTextId="23121">
                <text>Mantoro, Teddy</text>
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                <text>Moedjiono, Sardjoeni</text>
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                <text>Ayu, Media Anugerah</text>
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                <text>Chiroma, Haruna</text>
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                <text>Waqas, Ahmad</text>
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              <elementText elementTextId="23126">
                <text>Muhammad Abdulhamid, Shafi’i</text>
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              <elementText elementTextId="23127">
                <text>Fatihu Hamza, Mukhtar</text>
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              <elementText elementTextId="23128">
                <text>Gital, Abdulsalam Ya'u</text>
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                <text>2016-07-26</text>
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                <text>3D map for mobile devices provide more realistic view of an environment and serves as better navigation aid. Previous research studies shows differences in 3D maps effect on acquiring of spatial knowledge. This is attributed to the differences in mobile device computational capabilities. Crucial to this, is the time it takes for 3D map dataset to be rendered for a required complete navigation task. Different findings suggest different approach on solving the problem of time require for both in-core (inside mobile) and out-core (remote) rendering of 3D dataset. Unfortunately, studies on analytical techniques required to shows the impact of computational resources required for the use of 3D map on mobile device were neglected by the research communities. This paper uses Support Vector Machine (SVM) to analytically classify mobile device computational capabilities required for 3D map that will be suitable for use as navigation aid. Fifty different Smart phones were categorized on the bases of their Graphical Processing Unit (GPU), display resolution, memory and size. The result of the proposed classification shows high accuracy</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/5056</text>
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                <text>10.3991/ijim.v10i3.5056</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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              <elementText elementTextId="23136">
                <text>https://online-journals.org/index.php/i-jim/article/view/5056/4025</text>
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                <text>Copyright (c) 2017 Adamu Abubakar, Teddy Mantoro, Sardjoeni Moedjiono, Media Anugerah Ayu, Haruna Chiroma, Ahmad Waqas, Shafi’i Muhammad Abdulhamid, Mukhtar Fatihu Hamza, Abdulsalam Ya'u Gital</text>
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              <elementText elementTextId="23138">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 10 No. 3 (2016); pp. 4-10</text>
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              <elementText elementTextId="23139">
                <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="23140">
                <text>3D Map</text>
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                <text>Graphical Processing Unit</text>
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                <text>Support Vector Machine. In-core rendering</text>
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                <text>out-of-core rendering</text>
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              <elementText elementTextId="23144">
                <text>A Support Vector Machine Classification of Computational Capabilities of 3D Map on Mobile Device for Navigation Aid</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="35342">
                <text>Vu, Quy Khanh</text>
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                <text>Hoai, Nam Vi</text>
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                <text>Manh, Linh Dao</text>
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                <text>In recent years, the Mobile Ad Hoc Network (MANET) has a vital role in many fields such as healthcare, military, rescue and smart city. Because of its mobility and ad hoc, each mobile network node acts as a router with limited battery energy. The out of energy network node not only affects its own ability to receive/receive packets but also affects the overall performance of the entire network. Therefore, designing an energy-efficient routing protocol will help to optimize the efficiency of MANET. Many routing protocols have been proposing to solve this problem. In this paper, we conducted a survey of the proposed energy-saving routing protocols in the last decade for MANET. Based on the survey results, we propose open research directions. We hope that this work will make a strong motivation in the field of energy-efficient routing research for MANET. The survey results are also a vital basis to serve the in-depth researches in the routing field for MANET of our research team.</text>
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                <text>Copyright (c) 2020 Quy Khanh Vu, Nam Vi Hoai, Linh Dao Manh</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 09 (2020); pp. 215-226</text>
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                <text>Routing Protocols</text>
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                <text>Copyright (c) 2020 Thebiga M, suji Pramila</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 01 (2020); pp. 96-108</text>
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                <text>1865-7923</text>
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                <text>-Mobile Adhoc Networks</text>
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                <text>A Survey on Assorted Subsisting Approaches to Recognize and Preclude Black Hole Attacks in Mobile Adhoc Networks</text>
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                <text>Edinat, Afaf</text>
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                <text>Al-Sayyed, Rizik M. H.</text>
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                <text>Hudaib, Amjad</text>
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                <text>Cloud computing is considered one of the most important techniques in the field of distributed computing which contributes to maintain increased scalability and flexibility in computer processing. This is achieved because it, using the Internet, provides different resources and shared services with minimum costs. Cloud service providers (CSPs) offer many different services to their customers, where the customers’ needs are met seeking the highest levels of quality at the lowest considerate prices. The relationship between CSPs and customers must be determined in a formal agreement, and to ensure how the QoS between them will be fulfilled, a clear Service Level Agreement (SLA) must be called for. Several previously-proposed models used in the literature to improve the QoS in the SLA for cloud computing and to face many of the challenges in the SLA are reviewed in this paper. We also addressed the challenges that are related to the violations of SLAs, and how overcoming them will enhance customers’ satisfaction. Furthermore, we proposed a model based on Deep Reinforcement Learning (DRL) and an enhanced DRL agent (EDRLA). In this model, and by optimizing the learning process in EDRLA, proposed agents would be able to have optimal CSPs by improving the learning process in EDRLA. This improvement will be reflected in the agent's performance and considerably affect it, especially in identifying cloud computing requirements based on the QoS metrics.</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/26379/10181</text>
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          <element elementId="47">
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              <elementText elementTextId="45358">
                <text>Copyright (c) 2021 Afaf Edinat, Rizik M. H. Al-Sayyed, Amjad Hudaib</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 21 (2021); pp. 119-143</text>
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                <text>1865-7923</text>
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                <text>Cloud Computing</text>
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                <text>Quality of Service</text>
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                <text>A Survey on Improving QoS in Service Level Agreement for Cloud Computing Environment</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Jusoh, Shaidah</text>
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                <text>Advancement of mobile technologies such as smartphones and PC tablets has given a great impact on healthcare systems. The mobile technology offers innovative approaches to addressing complex health concerns. Many mobile health applications (mHealth apps) are currently available on marketplaces. These apps are designed to facilitate various health issues and problems, and are intended to be used outside clinics.  However, very little research has been conducted to address trend, opportunities, and challenging issues of the apps. The purpose of this study is to investigate the current state of mHealth. A literature survey was conducted. Major findings of this study include, smartphones will be the major platform for mHealth apps, the number of published software is much higher than published scientific research, current mHealth apps lacking in grounded based theory and evaluation, and security and usability issues are still vulnerable. The findings suggest that involvement of all healthcare stakeholders is critical to the success of mHealth apps.</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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            <name>Rights</name>
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            <elementTextContainer>
              <elementText elementTextId="25710">
                <text>Copyright (c) 2017 Shaidah Jusoh</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 6 (2017); pp. 73-85</text>
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                <text>1865-7923</text>
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                <text>mobile Health apps</text>
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                <text>A Survey on Trend, Opportunities and Challenges  of mHealth Apps</text>
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                <text>Copyright (c) 2022 Haider Th.Salim Alrikabi; Alaan  Ghazi, Muthana  Alisawi, Yousif  Mohammed Wahab, Aras  Al-Dawoodi, Sirwan  Saber Abdullah, Layth  Hammood, Asmaa  Yaseen Nawaf</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 10 (2022); pp. 97-108</text>
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                <text>1865-7923</text>
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                <text>Blockchain, Security, Working Principle, Applications, Smart Contracts.</text>
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                <text>A Systematic Literature Review of Blockchain Technology</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Soultana, Abdelfettah</text>
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                <text>Benabbou, Faouzia</text>
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                <text>Sael, Nawal</text>
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                <text>Ouahabi, Sara</text>
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                <text>In recent years, a significant increase in road accidents worldwide has been observed. This can partly be due to either driver distraction or fatigue. Therefore, a reliable alerting system that can detect the driver's inattention including fatigue, sleep, and distraction is necessarily required to prevent any potential accidents. The aim of this paper is to conduct a systematic review of literature (SLR) on monitoring driver inattention. In particular, the present study deals with different aspects of prior studies such as the sensors used; the types of data, the feature engineering techniques, the machine-learning techniques applied and their performance along with, the dataset used, etc. anotherFour approaches can be depicted from literature according to indicators they are based on: physiological, physical, driver performance and hybrid approach. We will focus on these different approaches in order to answer different questions, starting with the type of indicators used in the case of distraction or fatigue detection, the different datasets employed, the feature extraction techniques and the machine learning models applied. Furthermore, the study examines the practicality and reliability of each of the four approaches, as well as possible future prospects in the area, and highlights new challenges in the field of driver inattention detection with both forms of fatigue and distraction.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/33075</text>
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            <description>A language of the resource</description>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="50779">
                <text>Copyright (c) 2022 Abdelfettah SOULTANA, Faouzia BENABBOU , Nawal SAEL , Sara OUAHABI</text>
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              <elementText elementTextId="50780">
                <text>https://creativecommons.org/licenses/by/4.0</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 16 (2022); pp. 160-189</text>
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                <text>1865-7923</text>
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                <text>driver inattention</text>
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                <text>driver distraction</text>
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                <text>driver fatigue</text>
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                <text>driver drowsiness</text>
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                <text>machine-learning</text>
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                <text>A Systematic Literature Review of Driver Inattention Monitoring Systems for Smart Car</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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      <name>Dataset</name>
      <description>Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing.</description>
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                <text>Ajallouda, Lahbib</text>
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                <text>Fagroud, Fatima Zahra</text>
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                <text>Zellou, Ahmed</text>
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                <text>Benlahmar, El habib</text>
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                <text>The keyphrases of a document are the textual units that characterize its content such as the topics it addresses, its ideas, their field, etc. Thousands of books, articles and web pages are published every day. Manually extracting keyphrases is a tedious task and takes a lot of time. Automatic keyphrases extraction is an area of text mining that aims to identify the most useful and important phrases that give meaning to the content of a document. Keyphrases can be used in many Natural Language Processing (NLP) applications, such as text summarization, text clustering and text classification. This article provides a Systematic Literature Review (SLR) to investigate, analyze, and discuss existing relevant contributions and efforts that use new concepts and tools to improve keyphrase extraction. We have studied the supervised and unsupervised approaches to extracting keyphrases published in the period 2015-2022. We have also identified the steps most commonly used by the different approaches. Additionally, we looked at the criteria that should be evaluated to improve the accuracy of keyphrases extraction. Each selected approach was evaluated for its ability to extract keyphrases. Our findings highlight the importance of keyphrase extraction, and provide researchers and practitioners with information about proposed solutions and their limitations, which contributes to extract keyphrases in a powerful and meaningful way effective.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/33081</text>
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            <description>A language of the resource</description>
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                <text>eng</text>
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                <text>Copyright (c) 2022 Lahbib AJALLOUDA, Phd Student Fatima Zahra Fagroud, Dr. Ahmed Zellou, Dr. El habib  Benlahmar</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 16 (2022); pp. 31-58</text>
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                <text>1865-7923</text>
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            <description>The topic of the resource</description>
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                <text>Keyphrases extraction</text>
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                <text>A Systematic Literature Review of Keyphrases Extraction Approaches</text>
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