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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Alqudah, Yazan</text>
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                <text>Yousseff, Tarek</text>
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                <text>With the ever-increasing vehicle population and introduction of autonomous and self-driving cars, innovative research is needed to ensure safety and reliability on the road. This work introduces an innovative solution that aims at understanding vehicle behavior based on sensors data. The behavior is classified according to driving events. Understanding driving events can play a significant role in road safety and estimating the expense and risks of driving and consuming a vehicle. Rather than relying on the distance and time driven, driving events can provide a more accurate measure of vehicle driving consumption.  This measure will become more valuable as more autonomous vehicles and more ride sharing applications are introduced to roads around the world. Estimating driving events can also help better design the road infrastructure to reduce energy consumption.  By sharing data from official vehicles and volunteers, crowd sensing can be used to better understand congestion and road safety. This work studies driving events and proposes using machine learning to classify these events into different categories. The acquired data is collected using embedded mobile device motion sensors and are used to train machine learning algorithms to classify the events.</text>
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                <text>Copyright (c) 2021 Yazan Alqudah, Belal Sababha, Esam Qaralleh, Tarek Yousseff</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 02 (2021); pp. 124-136</text>
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                <text>1865-7923</text>
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                <text>Mobile Development</text>
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                <text>Driving Events</text>
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                <text>Machine Learning to Classify Driving Events Using Mobile Phone Sensors Data</text>
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                <text>Alsharafat, W.</text>
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                <text>Alrashdan, Wesam Kurdi</text>
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                <text>Bani Younes, Mohammad</text>
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                <text>This study aims to investigate the effect of using an educational computer game on the improvement of learning English language vocabulary in the city of Irbid. To achieve this aim was programmed a computer game to teach third graders English language vocabulary. The sample of the study consisted of 97 male and female students. They deliberately selected from Kofor Awaan Girls School and Abu Isam Primary Boys School, they were distributed over two groups: One of them is an experimental group of 52 students (male, female) taught English language vocabulary through a computer game strategy, and the other a control group of 47 students (male, female). The findings of the study showed that there are statistical significant differences at the level of (α=0.05) between the experimental group and the control group in favour of the experimental group, and that there are statistical significant differences at the level of (α=0.05) related to gender in favour of female, and that there are statistical significant differences at the level of (α=0.05) of the interaction between the teaching strategy and gender.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/7417</text>
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                <text>10.3991/ijim.v11i6.7417</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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                <text>https://online-journals.org/index.php/i-jim/article/view/7417/4704</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="25838">
                <text>Copyright (c) 2017 Mohammad Bani Younes, Wesam Kurdi Alrashdan, W. Alsharafat</text>
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          <element elementId="48">
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              <elementText elementTextId="25839">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 6 (2017); pp. 123-135</text>
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              <elementText elementTextId="25840">
                <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="25841">
                <text>Games</text>
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                <text>Gender</text>
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              <elementText elementTextId="25843">
                <text>English Vocabulary.</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="25844">
                <text>The Effect of Using an Electronic Instructional Game in Improving English Language Vocabulary for Third Graders in Irbid City</text>
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            <name>Type</name>
            <description>The nature or genre of the resource</description>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="51746">
                <text>Alsharafat, Wafa</text>
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                <text>Alrashdan, Wesam Kurdi</text>
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              <elementText elementTextId="51748">
                <text>Munther, Omar</text>
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              <elementText elementTextId="51749">
                <text>Yamman, Mohammad</text>
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              <elementText elementTextId="51750">
                <text>Khalid, Amaar</text>
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              <elementText elementTextId="51751">
                <text>2023-02-06</text>
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                <text>In response to the coronavirus crisis, higher education institutions have partially or fully transformed into electronic education systems (EESs). This paper presents the results of a student survey conducted at  AL al-Bayt University to assess the quality of the electronic educational system (EES) during the coronavirus pandemic. The study variables addressed by the questionnaire were tangible physical features (TPFs), flexibility (FEES), examination construction and management (ECM); admission, storage, and registration management (ASRM), security and privacy (S&amp;amp;P), learning site content (LSC); and students’ level of satisfaction (LoS). The exploratory study methodology was applied to 324 students at AABU, where the research data were collected using a Google Docs questionnaire and distributed to students. The results highlighted that students were satisfied with the quality of EES implemented by  AABU during the lockdown period in terms of tangible physical features (TPF) and learning site content (LSC) and there was a statistically significant relationship between TPF and LSC. However, some undesirable features were reported, such as a lack of adequate infrastructure for students, which enabled them to interact effectively with their teachers to gain the target of applying EES.  Consequently, AABU needs to implement effective measures to improve and increase the quality and level of satisfaction with EES. Finally, electronic education is a more adapted, smooth, and affordable alternative than traditional face-to-face education.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/34745</text>
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                <text>10.3991/ijim.v17i03.34745</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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                <text>https://online-journals.org/index.php/i-jim/article/view/34745/12645</text>
              </elementText>
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          <element elementId="47">
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              <elementText elementTextId="51759">
                <text>Copyright (c) 2023 Wafa Alsharafat, Wesam Kurdi Alrashdan, Omar Munther, Mohammad Yamman, Amaar Khalid</text>
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          <element elementId="48">
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 03 (2023); pp. 135-159</text>
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              <elementText elementTextId="51762">
                <text>1865-7923</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="51763">
                <text>Electronic education, Service Quality, Satisfaction, learning site content, tangible physical features</text>
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                <text>Assessment of Quality of the Electronic Education System in the Corona Crisis Period: Applied Study on Al al-Bayt University</text>
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              <elementText elementTextId="44095">
                <text>M. Ali Alheeti, Khattab</text>
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                <text>Alsukayti, Ibrahim</text>
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                <text>Alreshoodi, Mohammed</text>
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                <text>Innovative applications are employed to enhance human-style life. The Internet of Things (IoT) is recently utilized in designing these environments. Therefore, security and privacy are considered essential parts to deploy and successful intelligent environments. In addition, most of the protection systems of IoT are vulnerable to various types of attacks. Hence, intrusion detection systems (IDS) have become crucial requirements for any modern design. In this paper, a new detection system is proposed to secure sensitive information of IoT devices. However, it is heavily based on deep learning networks. The protection system can provide a secure environment for IoT. To prove the efficiency of the proposed approach, the system was tested by using two datasets; normal and fuzzification datasets. The accuracy rate in the case of the normal testing dataset was 99.30%, while was 99.42% for the fuzzification testing dataset. The experimental results of the proposed system reflect its robustness, reliability, and efficiency.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 04 (2020); pp. 204-211</text>
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                <text>1865-7923</text>
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                <text>Wireless sensor network</text>
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                <text>Efficient RTS and CTS Mechanism Which Save Time and System Resources</text>
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                <text>S. Alseelawi, Nawar</text>
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                <text>T. Hazim, Hussein</text>
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                <text>Nasser, Khalid Waleed</text>
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                <text>Any educational institution aimed at developing towards e-learning and creating a more interactive environment and use in all fields of governmental institutions. The Ministry of Higher Education and Scientific Research (MOHESR) of Iraq and some of the countries in the Middle East suffer from weak use of information technology in general and weak use of e-learning in particular. Therefore, Iraqi MOHESR is in dire need of an electronic educational system that solves most of the problems experienced by most educational institutions.In this paper, we will develop a strategic plan to build an e-learning platform that provides an interactive environment between teachers and students in Iraqi universities and offers many advantages to overcome some problems in the use of traditional old education. This work is related to the use of multi-layered architecture to build the e-learning platform (Standard design of e-learning platform for IraqiMOHESR). The advantage of these layers is that each layer is created in the Asp.Net program using N-Tier architecture that has functions that are independent of the rest of the layers which are(user interface(UI), business Access Layer(BAL),Data AccessLayer(DAL), Database(DB)). A particular object will not affect the rest of the layers or the performance of these layers. </text>
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                <text>Copyright (c) 2020 Nawar S. Alseelawi, Enas K. Adnan, Hussein T. Hazim, Haider Alrikabi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 06 (2020); pp. 171-185</text>
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                <text>1865-7923</text>
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                <text>Copyright (c) 2021 Haider Th.Salim Alrikabi, Ban Hassan Majeed, Lina Fouad Jawad</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 13 (2021); pp. 172-188</text>
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                <text>The global online communication channel made possible with the internet has increased credit card fraud leading to huge loss of monetary fund in their billions annually for consumers and financial institutions. The fraudsters constantly devise new strategy to perpetrate illegal transactions. As such, innovative detection systems in combating fraud are imperative to curb these losses. This paper presents the combination of multiple classifiers through stacking ensemble technique for credit card fraud detection. The fuzzy-rough nearest neighbor (FRNN) and sequential minimal optimization (SMO) are employed as base classifiers. Their combined prediction becomes data input for the meta-classifier, which is logistic regression (LR) resulting in a final predictive outcome for improved detection. Simulation results compared with seven other algorithms affirms that ensemble model can adequately detect credit card fraud with detection rates of 84.90% and 76.30%.</text>
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            <description>Information about rights held in and over the resource</description>
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                <text>Copyright (c) 2021 Haider Th.Salim Alrikabi, Ameer Saleh Hussein, Rihab Salah Khairy</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 05 (2021); pp. 24-42</text>
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                <text>1865-7923</text>
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                <text>Fraud detection Credit card Ensemble technique Stacking Machine learning</text>
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                <text>Credit Card Fraud Detection Using Fuzzy Rough Nearest Neighbor and Sequential Minimal Optimization with Logistic Regression</text>
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                <text>Alrikabi, Haider Th.Salim</text>
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                <text>Tuama Hazim, Hussein</text>
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                <text>Data security has become a paramount necessity and more obligation in daily life. Most of our systems can be hacked, and it causes very high risks to our confidential files inside the systems. Therefore, for various security reasons, we use various methods to save as much as possible on this data, regardless of its different forms, texts, pictures, videos, etc. In this paper, we mainly rely on storing the basic image which should be protected in another image after changing its formal to composites using the DWT wavelet transform. The process of zeroing sites and storing their contents technique is used to carry the components of the main image. Then process them mathematically by using the exponential function. The result of this process is to obtain a fully encrypted image. The image required to be protected from detection and discrimination is hidden behind the encrypted image. The proposed system contains two algorithms. the first algorithm is used for encryption and hiding, but the second algorithm is designed for returning and decoding the main image to its original state with very efficiently.</text>
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                <text>Copyright (c) 2021 Haider Th.Salim Alrikabi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 16 (2021); pp. 144-157</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>Encryption</text>
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                <text>Discrete Wavelet Transform</text>
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                <text>Steganography</text>
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                <text>Enhanced Data Security of Communication System Using Combined Encryption and Steganography</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="48141">
                <text>Majeed, Ban Hassan</text>
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                <text>Jawad, Lina Fouad</text>
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                <text>Alrikabi, Haider Th.Salim</text>
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                <text>Computational Thinking (CT) is very useful in the process of solving everyday problems for undergraduates. In terms of content, computational thinking involves solving problems, studying data patterns, deconstructing problems using algorithms and procedures, doing simulations, computer modeling, and reasoning about abstract things. However, there is a lack of studies dealing with it and its skills that can be developed and utilized in the field of information and technology used in learning and teaching. The descriptive research method was used, and a test research tool was prepared to measure the level of (CT) consisting of (24) items of the type of multiple-choice to measure the level of "CT". The research study group consists of (100) third-year students studying at the University of Baghdad in Computer Science within the scope of (2020-2021). The results are detailed.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/30043</text>
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                <text>10.3991/ijim.v16i10.30043</text>
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              <elementText elementTextId="48152">
                <text>Copyright (c) 2022 Haider Th.Salim Alrikabi, Ban Hassan   Majeed, Lina Fouad  Jawad</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 10 (2022); pp. 244-252</text>
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                <text>1865-7923</text>
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                <text>Computational Thinking (CT), University student, Smart Technologies, Online learning</text>
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                <text>Computational Thinking (CT) Among University Students</text>
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