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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Kadhim, Huda Yousif</text>
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                <text>Al-saedi, Karim Hashim</text>
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                <text>Al-Hassani, Mustafa Dhiaa</text>
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                <text>Abstract— The widespread use of smart phones nowadays makes them vulnerable to phishing. Phishing is the process of trying to steal user information over the Internet by claiming they are a trusted entity and thus access and steal the victim's data(user name, password and credit card details). Consequently, the need for mobile phishing detection system has become an urgent need. And this is what we are attempting to introduce in this paper, where we introduce a system to detect phishing websites on Android phones. That predicts and prevents phishing websites from deceiving users, utilizing data mining techniques to predict whether a website is phishing or not, relying on a set of factors (URL based features, HTML based features and Domain based features). The results shows system effectiveness in predicting phishing websites with 97% as prediction accuracy.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/10797</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/10797/5934</text>
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                <text>Copyright (c) 2019 Huda Yousif Kadhim</text>
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              <elementText elementTextId="30449">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 10 (2019); pp. 205-213</text>
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              <elementText elementTextId="30450">
                <text>1865-7923</text>
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                <text>mobile Phishing attacks</text>
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                <text>Phishing</text>
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                <text>Data Mining</text>
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                <text>Web-based Phishing attack</text>
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                <text>Mobile Phishing Websites Detection and Prevention Using Data Mining Techniques</text>
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                <text>Al-Hazmi, Nabil Mohemmed</text>
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                <text>2021-03-30</text>
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                <text>This study aims at identifying the importance of using smartphone apps in tourism marketing in Al-Kharj Governorate in the Kingdom of Saudi Arabia. The study used the descriptive and analytical approach in studying its hypotheses and achieving its objectives. It concluded that the majority of the study sample use smartphones and their tourism apps in the process of obtaining information and complete the purchasing process for the tourist trip.These apps are used to attract tourists as the best advertising method that attracts the targeted market. The study presented a set of recommendations, the most important of which is increasing cooperation between the authorities that supervise the tourism activity in the governorate when designing these apps and working to develop the technological infrastructure in line with the nature of development in the field of smartphones.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/20635</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/20635/8989</text>
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                <text>Copyright (c) 2021 Nabil Mohemmed Al-Hazmi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 06 (2021); pp. 193-202</text>
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                <text>1865-7923</text>
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                <text>Mobile phone</text>
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                <text>tourism</text>
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                <text>marketing</text>
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                <text>smartphone apps.</text>
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                <text>The Use of Mobile Phones and their Apps in Tourism Marketing in the Kingdom of Saudi Arabia</text>
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                <text>Al-Hazmi, Nabil Mohemmed</text>
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                <text>This study aimed at investigating the role of social networks apps in tourism marketing for travel and tourism organizations in Al-Kharj City, Kingdom of Saudi Arabia. The study used the descriptive and analytical approach to achieve its objectives and test its hypothesis. The study found that social networks apps play a vital role in marketing the tourism product in Al-Kharj City as well as communicating effectively and cheaply with the customers. The study recommended nominating and training some workers in tourism organizations to deal with social media networks and design websites and applications for these organizations.</text>
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                <text>Copyright (c) 2021 Nabil Mohemmed Al-Hazmi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 20 (2021); pp. 161-170</text>
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                <text>1865-7923</text>
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                <text>Social Networks Apps</text>
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                <text>Mobile</text>
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                <text>Tourism Marketing</text>
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                <text>Social Networks Apps and their Role in Tourism Marketing in the Kingdom of Saudi Arabia</text>
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              <elementText elementTextId="24106">
                <text>Al-Hunaiyyan, Ahmed</text>
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                <text>Alhajri, Rana</text>
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                <text>Al-Sharhan, Salah</text>
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                <text>2017-05-22</text>
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                <text>Mobile learning is a new learning landscape that offers opportunity for collaborative, personal, informal, and students’ centered learning environment. In implementing any learning system such as mobile learning environment, it is important to understand challenges that affect its implementations in a particular culture. Additionally, learners’ and instructors’ expectations are deemed necessary for consideration. However, there is a lack of studies on this aspect, particularly in the context of Kuwait HE institutions. This research presents opportunities and prospects of m-learning, and discusses challenges and implications facing its implementation. The authors of this paper conducted a study in Kuwait HE to examine both students’ and instructors’ perceptions and attitudes toward this trend of learning, to evaluate its effectiveness, and to investigate cultural and social challenges that affect the implementation of m-learning in Kuwait HE. A questionnaire was administered to 499 students and 110 Instructors from different higher educational institutions in Kuwait. The results reveal that students and instructors have positive perceptions of m-learning, and believe that m-learning enhances the teaching and the learning process. The study reports some social and cultural issues that may act as barriers to m-learning implementation.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 4 (2017); pp. 4-16</text>
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                <text>This paper introduces a comprehensive mobile learning (m-learning) model in the context of smart classrooms environment as a part of a holistic approach to implement an efficient Technology Enhanced Learning (TEL) Environment. In this new model, the mobile learning components, as a crucial part of the smart classroom, systematically integrate the “mobile tools” with the teaching-learning practices. However, there are many challenges to generalize such kind of learning to any educational system.  A major reason for these challenges is the lack of an integrated model in a holistic approach of the smart classroom and TEL environment. Another critical challenge is designing and developing an efficient m-learning in a smart classroom and inside smart school environment which is due to the complex environment that incorporates many pedagogical and technological elements. The proposed model in this paper is based on an integrated m-learning framework to implement a holistic e-learning approach capable of overcoming these challenges.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 3 (2017); pp. 39-56</text>
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                <text>1865-7923</text>
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                <text>A New Mobile Learning Model in the Context of the Smart Classrooms    Environment: A Holistic Approach</text>
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                <text>As governments and international bodies worldwide sought to prevent the spread of Covid-19, underdeveloped countries have been particularly challenged as they have little or no technological models and frameworks in place and the literature offers little guidance. The current research applied a quantitative approach to researching educational practitioners’ perceptions of e-learning acceptance, using a sample of 4,024 educators and students from a range of Kuwaiti educational institutions. Findings indicate that respondents were slightly supportive of e-learning adoption, with a majority acknowledging its advantages. However, respondents also mention the need for development in the technological competencies required to operate the proposed e-learning programs and a range of challenges that may impact e-learning. Hence, the authors propose a distance and blended learning model (DBLM) to enhance the implementation, utilisation, and evaluation of e-learning within the Kuwaiti educational system. Also, an e-learning teacher capability maturity model (eTCMM) was proposed to foster educators’ competencies and enable their active use of e-learning platforms.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 10 (2021); pp. 173-193</text>
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                <text>1865-7923</text>
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                <text>Towards an Efficient Integrated Distance and Blended Learning Model: How to Minimize the Impact of COVID-19 on Education</text>
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                <text>The state of Kuwait has implemented a national e-learning initiative that included the distribution of mobile devices (Tablets) to be used by students and educators. Understanding the obstacles which currently prevent a successful roll-out, implementation, and adoption of mobile learning methods in Kuwait is vital. The opportunities for learners are particularly essential in this respect, and an absence of research remains an issue as far as Kuwait is concerned. This research was carried out within Kuwait Higher Education (HE) facilities to assess students' opinions and motivations for adopting this form of learning, aiming to analyse its efficacy and explore the social factors and gender issues that might impact extending mobile learning (m-learning) potential throughout Kuwait. A questionnaire has been central to this research, sent out to 620 students in total. Two statistical methods, an analysis of variance (ANOVA), and an independent-sample t-test, have been applied. The latter is essential for assessing if any statistical significance exists between two unrelated groups (male and female being the two independent variables). The results reveal disparities of age and gender while highlighting certain social and cultural factors that might prove to be obstacles that m-learning will need to overcome. A firm analysis of such issues will enable improved approaches to help learners' access and make the most robust m-learning methods.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 11 (2021); pp. 4-20</text>
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                <text>Wheeb, Ali H.</text>
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                <text>Al-jamali, Nadia Adnan</text>
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                <text>Optimized Link State Routing Protocol (OLSR) is an efficient routing protocol used for various Ad hoc networks. OLSR employs the Multipoint Relay (MPR) technique to reduce network overhead traffic. A mobility model's main goal is to realistically simulate the movement behaviors of actual users. However, the high mobility and mobility model is the major design issues for an efﬁcient and effective routing protocol for real Mobile Ad hoc Networks (MANETs). Therefore, this paper aims to analyze the performance of the OLSR protocol concerning various random and group mobility models. Two simulation scenarios were conducted over four mobility models, specifically the  Random Waypoint model (RWP), Random Direction model (RD), Nomadic Community model (NC), and the Reference Point Group Model (RPGM) with a low as well as high random range mobility of the nodes.  Moreover, BonnMotion Software and Network simulator NS-3 used to implement the simulation scenarios. Further, the performance of the OLSR protocol analyzed and evaluated based on latency, routing overhead, and packet loss ratio metrics. According to the results, the OLSR protocol provides the best performance over the RWP model in a low mobility environment, whereas the Nomadic mobility model is suitable for OLSR protocol in a high mobility environment.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/26663</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/26663/10555</text>
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              <elementText elementTextId="45506">
                <text>Copyright (c) 2021 Ali Hussein Wheeb, Nadia Adnan Al-jamali</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 01 (2022); pp. 106-119</text>
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                <text>1865-7923</text>
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                <text>olsr routing protocol</text>
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                <text>random mobility</text>
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                <text>group mobility</text>
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                <text>bonnmotion software</text>
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                <text>network simulation.</text>
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                <text>Performance Analysis of OLSR Protocol in Mobile Ad Hoc Networks</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="28164">
                <text>Atawneh, Samer</text>
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                <text>Al-Kasasbeh, Basil</text>
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                <text>Ben Rshed, Mohammed</text>
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                <text>Many companies, such as Aramex, FedEx, and SMSA, offer product delivery services. However, the delivery process through these companies is costly and/or requires the customer’s physical attendance at the company to get the sent shipments. There is a persistent need to improve the delivery process in Saudi Arabia to reduce the effort, cost, and time that the customer spends to get the shipped products. This paper presents a new delivery approach in Saudi Arabia by developing an Android-based MobApp that allows the customers to use their mobile devices to send and receive shipped products at their doorstep by submitting online requests through the developed MobApp. The proposed MobApp, named as Door-to-Door (D2D) product delivery MobApp, guarantees fast and costless service among its competitors. The MobApp will provide its customers a reliable delivery process. It aims to provide a domestic delivery chain with whomever to wherever within Saudi Arabia. In addition, the proposed delivery MobApp allows the customers to create, update and track the delivery orders. Moreover, the proposed D2D delivery MobApp is easy to install and use, it provides a friendly GUI and has a powerful steady performance.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/9598</text>
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                <text>10.3991/ijim.v12i7.9598</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/9598/5553</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="28175">
                <text>Copyright (c) 2018 Samer Atawneh, Mohammed Ben Rshed, Mohammed Ben Rshed, Khalid Aldossari, Khalid Aldossari, Abdulrhman Basuliman, Abdulrhman Basuliman, Mohammed Alamri, Mohammed Alamri</text>
              </elementText>
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              <elementText elementTextId="28176">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 03 (2019); pp. 125-142</text>
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              <elementText elementTextId="28177">
                <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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                <text>MobApp</text>
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                <text>delivery process</text>
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                <text>shipped products</text>
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                <text>quality attributes</text>
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                <text>use cases</text>
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                <text>Android-based Mobile Application for Door-to-Door Product Delivery</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="48204">
                <text>Hameed Shaker, Shaimaa</text>
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                <text>Al-Khalidi , Farah Q.</text>
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                <text>The main target of the work in this paper is to detect the gender and oldness of a person with an accurate decision and efficient time based on the number of facial outward attributes extracted using Linear-Discriminate Analysis to classify a person within a certain category according to his(her) gender and age. This work was deal with color facial images via the Iterative Dichotomiser3 algorithm as a classifier to detect the oldness of a person after gender detected. This paper used the Face-Gesture-Recognition-Research-Network aging dataset. All facial images in the dataset were categorizing into binary categories using k-means. This is followed by the process of dividing all samples according to age classes that belonging to each specific sex category. Thus, this division process enabled us to reach a quick and accurate decision. &amp;nbsp;The results showed that the accuracy of the proposal was 90.93%,&amp;nbsp; and F-measure was 89.4.</text>
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                <text>10.3991/ijim.v16i10.30051</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/30051/11361</text>
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              <elementText elementTextId="48214">
                <text>Copyright (c) 2022 Haider Th.Salim Alrikabi; Shaimaa   Hameed Shaker, Farah Q.  Al-Khalidi</text>
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                <text>https://creativecommons.org/licenses/by/4.0</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 10 (2022); pp. 176-190</text>
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                <text>1865-7923</text>
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                <text>Facial image, Features extraction, Human Age and Gender, k-mean, LDA, ID3.</text>
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                <text>Human Gender and Age Detection Based on Attributes of Face</text>
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