21 10 1981 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Fitri Nurul'ain Nordin Nor Zahidah Binti Ahmad Lily Hanefarezan Binti Asbulah Nursafira Binti Ahmad Safian Date A point or period of time associated with an event in the lifecycle of the resource 2023-05-10 Description An account of the resource The Covid-19 pandemic that spreaded around the world in March 2020 has changed the nation’s education landscape. Standard Operating Procedures that demand presence at respective residences have made online learning one of the best platforms that replace face-to-face learning in educational institutions across the country. Thus, this study aims to propose an effective online language learning strategy to be a reference for educators and students to master language skills using post-Covid19 educational technology. This research employs quantitative methods cross sectional studies supported by qualitative data. The research instruments is questionnaires. A total of 280 respondents consisting of university students in the Arabic field at Malaysian universities answered the questionnaire. The results showed that the respondents know how to learn through online learning with a mean rate of 4.24 and the respondents agreed that the instructions given during online learning should be clear with a highest mean rate of 4.46. Among the online learning strategies used by students are always sharing opinions during online learning, responding using chat rooms to engage in discussions and making notes to improve understanding. Respondents are also satisfied with online learning platforms such as google meet, Webex and zoom.   Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/39463 10.3991/ijim.v17i09.39463 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/39463/13171 Rights Information about rights held in and over the resource Copyright (c) 2023 Fitri Nurul'ain Nordin, Nor Zahidah Binti Ahmad , Lily Hanefarezan Binti Asbulah , Nursafira Binti Ahmad Safian https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 09 (2023); pp. 57-69 1865-7923 Subject The topic of the resource online learning learning strategies Arabic language Title A name given to the resource Online Language Learning Strategies in Institutes of Higher Learning (IPT) Malaysia Post Covid-19 Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Muna Majeed Laftah Iman I. Hamid Nashwan Alsalam Ali Date A point or period of time associated with an event in the lifecycle of the resource 2023-04-26 Description An account of the resource Illegal distribution of digital data is a common danger in the film industry, especially with the rapid spread of the Internet, where it is now possible to easily distribute pirated copies of digital video on a global scale. The Watermarking system inserts invisible signs to the video content without changing the content itself. The aim of this paper is to build an invisible video watermarking system with high imperceptibility. Firstly, the watermark is confused by using the Arnold transform and then dividing into equal, non-overlapping blocks. Each block is then embedded in a specific frame using the Discrete Wavelet Transform (DWT), where the HL band is used for this purpose. Regarding the method of selecting the host frames, the chaotic map (tent map) was used to choose a number of frames which are greater or equal to the number of blocks of the watermark. The host frame selection method makes the discovery of the watermark information by illegal means very complicated. The experimental results show that the proposed method can produce excellent transparency with robustness against some attacks where the average_ PSNR reaches to 72.806. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/39339 10.3991/ijim.v17i08.39339 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/39339/13069 Rights Information about rights held in and over the resource Copyright (c) 2023 Muna Majeed Laftah, Iman I. Hamid, Nashwan Alsalam Ali https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 08 (2023); pp. 135-145 1865-7923 Subject The topic of the resource copyright, chaotic map, Discrete Wavelet Transform, watermark Title A name given to the resource Video Copyright Protection Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Dony Novaliendry Asrul Huda LatifahAnnisa Resti Rahmi Khairati Costa Yudhistira Fivia Eliza Date A point or period of time associated with an event in the lifecycle of the resource 2023-05-10 Description An account of the resource This research and development are motivated by the problem of limited learning resources on Computers and Basic Networks in SMK Negeri 2. This happens because no learning media attracts students' interest in learning. Therefore, the writer tries to design interesting learning media for students. This study aims to determine the validity, practicality and effectiveness of the design and manufacture of mobile learning media based on mobile web subjects for computer and basic networking subjects for class X TKJ SMK Negeri 2 Padang. This research uses the research & development method. The research subjects were 35 people. The research model used is the development research model (ADDIE model), with the development steps as follows. (1) Analyze, (2) design, (3) development, (4) Implementation, and (5) Evaluate. The results of the overall effectiveness test assessment of the effectiveness of Mobile Web-Based Mobile Learning on Computers and Basic Networks (KJD) Class X SMK Negeri 2 Padang Odd Semesters of 93.57% so that the level of effectiveness can be interpreted very effectively used. In conclusion, based on the assessment and expert input and the results of the field trial of Mobile Web-Based Mobile Learning Media as a learning medium, it has been tested for feasibility and excellence. It can be used in the learning process on KJD subjects for class X TKJ SMK N 2 Padang.   Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/39337 10.3991/ijim.v17i09.39337 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/39337/13165 Rights Information about rights held in and over the resource Copyright (c) 2023 Dony Novaliendry, Asrul Huda, LatifahAnnisa, Resti Rahmi Khairati Costa, Yudhistira, Fivia Eliza https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 09 (2023); pp. 20-30 1865-7923 Subject The topic of the resource basic computers and networks mobile learning mobile web Title A name given to the resource The Effectiveness of Web-Based Mobile Learning for Mobile Subjects on Computers and Basic Networks in Vocational High Schools Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ahdab Najib Hijazi Hanif Baharin Date A point or period of time associated with an event in the lifecycle of the resource 2023-04-26 Description An account of the resource Previous research into multimedia learning has mainly focused on cognitive factors to investigate different instructional conditions and design principles. Emotional aspects have so far been widely neglected. This study investigates how the cheerful emotional interface design influenced learners’ cognitive processes, emotional valences, learning outcomes, and subjective experience. This study used the PRISMA statement to identify the major themes from the literature. Following the strict inclusion and exclusion criteria for selecting records, we identified 47 articles for the analysis. This study used the VOS viewer for the themes using the content analysis and key term occurrences. The result shows two significant pieces, cognitive outcomes and affective outcomes, further divided into cognitive processes, emotional valences, learning outcomes, and subjective experience. In addition, the findings showed that learners using the cheerful emotional design had more positive emotions and higher comprehension and transfer test scores. Furthermore, learners who received the cheerful emotional design saw the materials as less challenging and expended more mental effort digesting them than learners who received the neutral design. They reported better motivation, contentment, and perception of the learning materials.   Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/39335 10.3991/ijim.v17i08.39335 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/39335/13061 Rights Information about rights held in and over the resource Copyright (c) 2023 Ahdab Najib Hijazi, Ahmad Hanif Ahmad Baharin https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 08 (2023); pp. 59-77 1865-7923 Subject The topic of the resource cognitive outcomes affective outcomes positive emotions learning outcomes PRISMA VOS viewer Title A name given to the resource How Do Visual Design Elements in Multimedia Learning Material Induce Positive Emotions in Learners? Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Vankúš, Peter Date A point or period of time associated with an event in the lifecycle of the resource 2023-06-07 Description An account of the resource Our paper advocates the preparation of future mathematics teachers for the use of game-based learning and gamification technologies. For this purpose, we created a university course that is dedicated to familiarizing the students with basic concepts of game-based learning and gamification and to conveying direct experience with their use. We support the concept and activities in this course by the positive results of the research on the opinions of 115 students. We hope that the positive results and our description of the course will be an inspiration for the broader incorporation of game-based learning and gamification technologies into the training of future mathematics teachers. Limitations of our research are the research sample, we investigated students’ reactions only at the author’s home university. Therefore, in the future, the research could be done with a broader sample and studying more in detail the students’ beliefs related to game-based learning and gamification before and after the course to get a better view of their development. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/39227 10.3991/ijim.v17i11.39227 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/39227/13287 Rights Information about rights held in and over the resource Copyright (c) 2023 Peter Vankúš https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 11 (2023); pp. 53-67 1865-7923 Subject The topic of the resource game-based learning, gamification, learning technologies, mathematics, teacher education Title A name given to the resource Game-Based Learning and Gamification Technologies in the Preparation of Future Mathematics Teachers Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Suki, Norbayah Mohd Yee Jia En Norazah Mohd Suki Siti Rosmaini Mohd Hanafi Date A point or period of time associated with an event in the lifecycle of the resource 2023-04-26 Description An account of the resource Smartphones and high-speed network connections allow businesses to deliver information to customers faster and more efficiently than ever before. This study analyses the most-cited articles on smartphone online marketing. A bibliometric mapping analysis was used to search for articles related to smartphone online marketing between 2010 and 2020, retrieved from the Scopus database. The title, a number of citations, publishing year, journal, country, subject area, and authors were all recorded and evaluated. VOSviewer was used for the bibliometric study. The search yielded a total of 120 articles, with citation counts ranging from 17 to 225. All of the articles were authored in English. The United States was the region with the most articles published. The highest publication source is the Journal of Business Research. Management, accounting, and business dominated the articles. This study benefits the company and marketers with the marketing strategies used in online marketing with smartphones. In terms of marketing activities and research areas, this study suggests future research directions   Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/39217 10.3991/ijim.v17i08.39217 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/39217/13055 Rights Information about rights held in and over the resource Copyright (c) 2023 Norbayah Mohd Suki, Yee Jia En , Norazah Mohd Suki, Siti Rosmaini Mohd Hanafi https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 08 (2023); pp. 4-22 1865-7923 Subject The topic of the resource Bibliometric VOSviewer smartphone online marketing mobile Internet Title A name given to the resource Smartphones Online Marketing: A Bibliometric and Visualized Analysis Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ilyas, Muhammad Hermawati Syarif Refnaldi Date A point or period of time associated with an event in the lifecycle of the resource 2023-04-26 Description An account of the resource Recordings are exceptionally good at passing on the teacher's eagerness and objectives for teaching English, which are difficult to clarify. It can be passed on within the video. The teacher used to get the learning videos from YouTube or Facebook. Utilizing these learning videos makes lessons more curious within the classroom. Communication and innovation can be used as curious and fun media. Remembering that in the current circumstance, learning can be worn out both online and offline, at that point, the teachers must be able to create learning media by utilizing ICT. Teachers must also be able to create inventive and imaginative learning videos that integrate ICT. One method for making videos was to use the Canva app. This study was considered a means of sharing information about students' perceived ease of use and convenience when using English learning recordings coordinated with the Canva app. It made it less difficult for them to comprehend the English material because of its numerous highlights, which made learning movement more enjoyable. It also helped make the course more appealing to the teachers and students. The students then shared their thoughts on how simple it was to obtain the English material by utilizing it.   Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/39215 10.3991/ijim.v17i08.39215 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/39215/13065 Rights Information about rights held in and over the resource Copyright (c) 2023 Muhammad Ilyas, Hermawati Syarif, Refnaldi https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 08 (2023); pp. 100-112 1865-7923 Subject The topic of the resource ENGLISH LEARNING VIDEO CANVA APP STUDENTS’ PERCEPTION Title A name given to the resource The Use of English Language Learning Videos Designed Through Canva App: Students’ Perceptions Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Novaliendry, Dony Ahyanuardi Irma Yulia Basri Noper Ardi Nathasyah Utami Hakim Muhammad Fadilh Putra Pratama Nenny Mahyudin Date A point or period of time associated with an event in the lifecycle of the resource 2023-04-26 Description An account of the resource Indonesia’s Vision 2045 is an essential basis to determine the direction of the country’s development in line with four main pillars which include the development of human resources (HR). This involves producing quality, healthy, intelligent, adaptive, innovative, and skilled human resources with character. The achievement of this goal requires the improvement of the competence and professional certification quality towards ensuring HR are reliable and competent in different fields such as the vocational area which involves Informatics Engineering (IT). Therefore, this research was conducted based on the gap observed in HR which is indicated by a lower proportion of Indonesian workers in the IT field compared to other ASEAN countries. It was also observed that the assessment process and results of the Junior Mobile programmer scheme by the Professional Certification Institute (LSP) for Digital Technology have not been optimally tested. This is indicated by the fact that the assessment activities are being conducted without the full implementation of a centralized and systematic technology-based system, thereby causing problems in the remote assessment process. Moreover, professional associations, academia, and industry were not involved in designing a tested and reliable assessment model. I this research was conducted from March 2022 to December 2023 with the trial subjects from the Digital Talent Scholarship (DTS) training program, Vocational School Graduate Academy (VSGA) of the Ministry of Communications and Informatics. There were 40 sessions which consist of 20 for the experimental class and 20 for the control class. Furthermore, the data collection instruments included questionnaires, documentation, interview guides, observations, and competency tests while descriptive and quantitative analyses were conducted through the I'ken V and factor analysis tests using the LISREL and SPSS applications.   Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/39213 10.3991/ijim.v17i08.39213 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/39213/13075 Rights Information about rights held in and over the resource Copyright (c) 2023 Dony Novaliendry, Ahyanuardi , Irma Yulia Basri, Noper Ardi, Nathasyah Utami Hakim, Muhammad Fadilh Putra Pratama , Unung Veradinata https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 08 (2023); pp. 181-196 1865-7923 Subject The topic of the resource Assessment competency certification Junior Programmer Title A name given to the resource The Development of Professional Competency Certification Assessment Model for Junior Mobile Programmers Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Mohammed Jawad Al_Dujaili ALRikabi, Haider TH.Salim Nisreen Khalil abed Ibtihal Razaq Niama ALRubeei Date A point or period of time associated with an event in the lifecycle of the resource 2023-04-26 Description An account of the resource In the realm of robotics and interactive systems, gender recognition is a crucial problem. Considering the several uses it has in security, web search, human-computer interactions, etc., gender recognition from facial photos has garnered a lot of attention. The need to use and enhance gender recognition techniques is felt more strongly today due to a significant development in the design of facial recognition systems. Relatively speaking to other approaches, the progress gained in this area thus far is not exceptional. Thus, a novel method has been adopted in this study to improve accuracy in comparison to earlier research. To create the best rate of accuracy and efficiency in the suggested method of this research, we choose a minimal set of characteristics. Testing on the FERET and UTK-Face datasets reveals that our suggested algorithm has a lower degree of inaccuracy. In this article, the input image of the person's face is pre-processed to extract the right features from the face once the person's face has been recognized. Gender separation is achieved using Multi-class Support Vector Machine (SVM) Classifiers after features from normalized images have been extracted using Histogram Oriented Gradient (HOG), Gabor Filters, and Speeded Up Robust Features (SURF), as well as their combination to select the most appropriate feature from them as input for gender classification. As a feature reduction feature, the Principal Component Analysis (PCA) algorithm is also employed. Using the proposed approach, 98.75% gender recognition precision has been accomplished on the FERET database and a runtime performance of 0.4 Sec. on the UTK-Face database, 97.43% gender recognition accuracy has been accomplished and a runtime performance of 0.5 Sec. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/39163 10.3991/ijim.v17i08.39163 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/39163/13067 Rights Information about rights held in and over the resource Copyright (c) 2023 Haider TH.Salim ALRikabi, Mohammed Jawad Al_Dujaili, ,Nisreen Khalil abed, Ibtihal Razaq Niama ALRubeei https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 08 (2023); pp. 113-134 1865-7923 Subject The topic of the resource Gender recognition, Gabor, HOG, SURF, SVM Title A name given to the resource Gender Recognition of Human from Face Images Using Multi-Class Support Vector Machine (SVM) Classifiers Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Khattab M. Ali Alheeti Abdulkareem Alzahrani Maha Alamri Aythem Khairi Kareem Duaa Al_Dosary Date A point or period of time associated with an event in the lifecycle of the resource 2023-06-07 Description An account of the resource In the past decade, traditional networks have been utilized to transfer data between more than one node. The primary problem related to formal networks is their stable essence, which makes them incapable of meeting the requirements of nodes recently inserted into the network. Thus, formal networks are substituted by a Software Defined Network (SDN). The latter can be utilized to construct a structure for intensive data applications like big data. In this paper, a comparative investigation of Deep Neural Network (DNN) and Machine Learning (ML) techniques that uses various feature selection techniques is undertaken. The ML techniques employed in this approach are decision tree (DT), Naïve Bayes (NB), Support Vector Machine (SVM). The proposed approach is tested experimentally and evaluated using an available NSL–KDD dataset. This dataset includes 41 features and 148,517 samples. To evaluate the techniques, several estimation measurements are calculated. The results prove that DT is the most accurate and effective approach. Furthermore, the evaluation measurements indicate the efficacy of the presented approach compared to earlier studies. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/39065 10.3991/ijim.v17i11.39065 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/39065/13297 Rights Information about rights held in and over the resource Copyright (c) 2023 Haider TH.Salim ALRikabi, Khattab M. Ali Alheeti, Abdulkareem Alzahrani, Maha Alamri, Aythem Khairi , Duaa Al_Dosary https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 11 (2023); pp. 131-140 1865-7923 Subject The topic of the resource Software Defined Network (SDN); Deep Neural Network (DNN); Machine Learning (ML); NSL-KDD; Title A name given to the resource A Comparative Study for SDN Security Based on Machine Learning Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article