96 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 Baker, Esraa Jaffar Abu Bakar, Juliana Aida Zulkifli, Abdul Nasir Date A point or period of time associated with an event in the lifecycle of the resource 2020-10-13 Description An account of the resource In a social context, Mobile Augmented Reality is a type of Augmented Reality which enables users to interact with the augmented environment. However, the degree of engagement and non-distraction of Mobile Augmented Reality has been of major concern to scholars. This is because Mobile Augmented Reality should be a focused, movable and engaged augmented environment which allows users to achieve the desired objectives. Therefore, this paper examines the engagement elements of Mobile Augmented Reality that promote social acceptance among users within the vast literature. These elements will enable Mobile Augmented Reality designers and developers to produce apps that will be able to enhance users’ interest and attractiveness in a fun way. Based on the critical and comprehensive review, there are 22 elements of engagement that have been used by previous researchers in the design of Mobile Augmented Reality apps. The 22 elements include; Aesthetics, Novelty, Usability, Feedback, Motivation, Attention, Perceived Control, Curiosity, Enjoyment, Self-efficacy, Friendliness, Social skill, Endurability, Interest, Immersion, Challenge, Satisfaction, User Autonomy, Improvement, Supportive, Trust and Interaction. This paper argues that the 22 elements are critical in producing an engaging Mobile Augmented Reality app. It is recommended for designers to consider these elements in ensuring that the users will be positively engaged with the Mobile Augmented Reality app. 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/16555 10.3991/ijim.v14i17.16555 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/16555/8025 Rights Information about rights held in and over the resource Copyright (c) 2020 Esraa Jaffar Baker, Juliana Aida Abu Bakar, Abdul Nasir Zulkifli Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 17 (2020); pp. 66-78 1865-7923 Subject The topic of the resource Systematic Literature Review Engagement Element Mobile Augmented Reality Mobile App Title A name given to the resource Elements of Engagement in Promoting Social Acceptance of Mobile Augmented Reality Application 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 Abdulazeez, Adnan Mohsin Salim, Baraa Wasfi Zeebaree, Diyar Qader Doghramachi, Dana Date A point or period of time associated with an event in the lifecycle of the resource 2020-11-10 Description An account of the resource The key point of this paper is to assess and look over the top of the line network layer-based VPN (Virtual Private Network) protocols because data link layer is hardly ever found to be in use in organizations, the reason is because of its exceedingly high charge. Virtual Private Network (VPN) is commonly used in business situations to provide secure communication channels over public infrastructure such as Internet. Virtual Private Networks (VPNs) provide a secure encrypted communication between remote networks worldwide by using Internet Protocol (IP) tunnels and a shared medium like the Internet. The paper follows and sets standards for different types of protocols and techniques, the VPN (Virtual Private Network) architectural feature is made to deliver dependable and safe network that is not in line with regular networks that provide a higher trust and a higher secure channel between user and organization. The current study took place to summaries the usage of existing VPNs protocol and to show the strength of every VPN. Through different studies that have been made by other researchers as well as an extra focus on the state of art protocol, Wire guard. It is also worthy to mention that wire guard compared with other protocols such as IPsec and GRE. The studies show the WireGuard being a better choice in terms of other well-known procedures to inaugurate a secure and trusted VPN. 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/16507 10.3991/ijim.v14i18.16507 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/16507/8139 Rights Information about rights held in and over the resource Copyright (c) 2020 Adnan Mohsin Abdulazeez, Baraa wasfi Salim, Diyar Qader Zeebaree, Dana Doghramachi Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 18 (2020); pp. 157-177 1865-7923 Subject The topic of the resource VPN IPsec GRE WireGuard Protocol Security TUNNEL IKpsk2 VPN PERFORMANCE. Title A name given to the resource Comparison of VPN Protocols at Network Layer Focusing on Wire Guard Protocol 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 Duong, Chinh Cuong Nguyen, Thi Thu Duong, Van Tu Tran, Duc-Nghia Chinh, Truong Minh Le, Anh Ngoc Tran, Duc-Tan Date A point or period of time associated with an event in the lifecycle of the resource 2020-11-10 Description An account of the resource In this paper, we present an Android application, namely BoatSafe, which offers easy and effective navigation of waterways. The data were collected directly from both GPS and the accelerometer sensor, and then these data were processed to determine the user's "Sailing on Water" status through the motions and the position. The software offers some essential features such as: provide the positions, velocities, and heading angle of vehicles at present; save the route for a specific period time; identify the outage of GPS signal; collision warning feature, identify a collision, and call a pre-selected phone number in the event of a collision. 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/16449 10.3991/ijim.v14i18.16449 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/16449/8143 Rights Information about rights held in and over the resource Copyright (c) 2020 Duc-Tan Tran Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 18 (2020); pp. 195-203 1865-7923 Subject The topic of the resource Inland Waterway Transport (IWT) Global Positioning System (GPS) Android Title A name given to the resource Smartphone-Based Sensing for Intelligent Inland Waterway Transportation Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Non-refereed 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 Wohllebe, Atilla Stoyke, Thomas Podruzsik, Szilárd Date A point or period of time associated with an event in the lifecycle of the resource 2020-11-24 Description An account of the resource With the spread of mobile smartphone apps among consumers, they have also become increasingly important for e-commerce companies in recent years to attract customers. A central challenge in the use of smartphone apps by companies is the acquisition and activation of new app users. This case study examines how incentives like coupons and bonus points to download an e-commerce app via other smartphone apps, so-called "medium apps", have an effect. After a review of existing literature on similar topics, hypotheses regarding the probability of installation and actual app usage are developed and tested in an experiment. The hypotheses can be confirmed to a large extent, but especially coupons for the advertised online shop that publishes the e-commerce app do not show the expected effect. Further research questions are identified and practical recommendations for app marketing are derived. 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/16427 10.3991/ijim.v14i19.16427 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/16427/8231 Rights Information about rights held in and over the resource Copyright (c) 2020 Atilla Wohllebe Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 19 (2020); pp. 180-196 1865-7923 Subject The topic of the resource App Marketing App Installation Ads Medium Apps Title A name given to the resource Incentives on E-Commerce App Downloads in Medium Apps: A Case Study on the Effects of Coupons and Bonus Points 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 M, Thebiga Pramila, Suji R Date A point or period of time associated with an event in the lifecycle of the resource 2020-11-24 Description An account of the resource This Mobile adhoc networks is a perpetual and autogenous organization without framework, and the mobile nodes are coupled cordlessly. Owing to the deficiency of framework assistance, reliable data distribution is a demanding process in mobile adhoc networks and this mobile adhoc network is unguarded to many categories of attacks. A black hole attack in Mobile Adhoc networks cites to an attack by the malevolent node which strongly get hold of the path from sender to the receiver, by means of perversion of subsequence word. With regard to diminish the menace from the malevolent node, the authors encompass the notion of trust in mobile adhoc networks. In this paper, we cope with a packet dropping misconduct named Black hole Attack and we propounded  a new hybrid trust based secured algorithm hinged on four new parameters to scrutinize, whether the transitional nodes are transmitting the packets correctly to the adjacent nodes. This paper presents a new hybrid trust based concept to pinpoint the malevolent node hinged on the computation of trust value. Using ns2 simulator, we analyse the performance of our proposed method and proved the detection efficiency. The investigated results shows that our proposed work can precisely diagnose the malevolent nodes and assure a good packet delivery ratio and network throughput. 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/16391 10.3991/ijim.v14i19.16391 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/16391/8215 Rights Information about rights held in and over the resource Copyright (c) 2020 Thebiga M, Suji R Pramila Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 19 (2020); pp. 42-65 1865-7923 Subject The topic of the resource -Mobile Adhoc Networks Black hole attack Trust malevolent node Packet Dropping Title A name given to the resource Reliable and Hybridized Trust Based Algorithm to Thwart Blackhole Attacks in MANETs using Network Preponderant Determinants 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 Hamad, Ibrahim Ismael Hasan, Mohammad S. Date A point or period of time associated with an event in the lifecycle of the resource 2020-11-10 Description An account of the resource Abstract-The path planning for Multi Mobile Robotic (MMR) system is a recent combinatorial optimisation problem. In the last decade, many researches have been published to solve this problem. Most of these researches focused on metaheuristic algorithms. This paper reviews articles on Ant Colony Optimisation (ACO) and its hybrid versions to solve the problem. The original Dorigo’s ACO algorithm uses exploration and exploitation phases to find the shortest route in a combinatorial optimisation problem in general without touching mapping, localisation and perception. Due to the properties of MMR, adaptations have been made to ACO algorithms. In this review paper, a literature survey of the recent studies on upgrading, modifications and applications of the ACO algorithms has been discussed to evaluate the application of the different versions of ACO in the MMR domain. The evaluation considered the quality, speed of convergence, robustness, scalability, flexibility of MMR and obstacle avoidance, static and dynamic environment characteristics of the tasks. 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/16371 10.3991/ijim.v14i18.16371 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/16371/8137 Rights Information about rights held in and over the resource Copyright (c) 2020 Ibrahim Ismael Hamad, Mohammad S. Hasan Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 18 (2020); pp. 145-156 1865-7923 Subject The topic of the resource Multi-Robotics path planning (PP) ACO algorithm Metaheuristics. uncer-tainties Title A name given to the resource A Review: On using ACO Based Hybrid Algorithms for Path Planning of Multi-Mobile Robotics 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 Limpeeticharoenchot, Santisook Cooharojananone, Nagul Chanvanakul, Thira Tuaycharoen, Nuengwong Atchariyachanvanich, Kanokwan Date A point or period of time associated with an event in the lifecycle of the resource 2020-11-10 Description An account of the resource A Big Data maturity model (BDMM) is one of the key tools for Big Data assessment and monitoring, and a guideline for maximizing the usage and opportunity of Big Data in organizations. The development of a BDMM for SMEs is a new concept and is challenging in terms of development, application, and adoption. This article aims to create the novel online adaptive BDMM via responsive web application for SMEs. We develop the BDMM API and a responsive web application for easy access via mobile phone. We developed a model by analyzing the factors impacting the success of implementing Big Data Analytics (BDA) in SMEs based on literature reviews. The model was verified by conducting a survey of 180 SMEs in Thailand, interviewed against four extracted domains. Then, the scoring and classified levels for the model was developed through Latent Class Analysis (LCA) to depict four levels of each domain and four final maturity levels to create an adaptive model. As the experimental results with 33 users including executive officers, managers, IT and data analytic officers .The user acceptance for our mobile application using TAM indicates that executive officers group and non-executive group satisfied perceived usefulness, perceived ease of use, and intention to use factor. Use cases of the application include SMEs monitoring for their Big Data Analytics capability for improvement, and the Government Agency providing proper support on SMEs’ level of competency. 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/16295 10.3991/ijim.v14i18.16295 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/16295/8131 Rights Information about rights held in and over the resource Copyright (c) 2020 Santisook Limpeeticharoenchot, Nagul Cooharojananone, Thira Chanvanakul, Nuengwong Tuaycharoen Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 18 (2020); pp. 87-106 1865-7923 Subject The topic of the resource Big Data Maturity Model Big Data SMEs BDMM mobile application BDMM Title A name given to the resource Innovative Mobile Application for Measuring Big Data Maturity: Case of SMEs in Thailand 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 Alsobhi, Aisha Y Alyoubi, Khaled H Date A point or period of time associated with an event in the lifecycle of the resource 2020-09-11 Description An account of the resource Learning is a fundamental element of people’s everyday lives. Learning experiences can take the form of our interactions with others, through attending an educational establishment, etc. Not everyone learns in the same way, and even people who are considered to have a similar standard of abilities or proficiency will exhibit different learning styles. This does not necessarily mean that some students are better than others; it means that students are different from one another. Adaptive e-learning system should be capable of adapting the content to the user learning style, abilities and knowledge level. In this paper, we investigate the benefits of incorporating learning styles and dyslexia type in adaptive e-learning systems. Adaptivity aspects based on dyslexia type and learning styles enrich each other, enabling systems to provide learners with materials which fit their needs more accurately. Besides, consideration of learning styles and dyslexia type can contribute to more accurate student modelling. In this paper, the relationship between learning styles, the Felder–Silverman learning style model (FSLSM), and dyslexia type, is investigated. These relationships will lead to a more reliable student model. 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/16129 10.3991/ijim.v14i15.16129 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/16129/7755 Rights Information about rights held in and over the resource Copyright (c) 2020 Khaled H. Alyoubi Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 15 (2020); pp. 25-43 1865-7923 Subject The topic of the resource Dyslexia Learning Style Adaptivity E-learning Learning Style Model Title A name given to the resource Learning Styles and Dyslexia Types – Understanding Their Relationship and its Benefits in Adaptive E-learning Systems 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 Sebt, Mohammad Vahid Komijani, Elahe Ghasemi, Shiva S. Date A point or period of time associated with an event in the lifecycle of the resource 2020-09-11 Description An account of the resource Nowadays, the banking system is known as one of the inherent sectors of customer relationship management systems. Its main advantage is to redesign a more responsive organization to satisfy the customers. The banking system aims to improve the structure of organizations to provide a better customer service through a set of automated and integrated processes. The final goal is to collect and reprocess the personal information of customers. To handle this dilemma, a number of new techniques in data mining provide a powerful tool to explore customers’ information regarding a set of data and tools for customer relationship management. Accordingly, the customers’ classification and coordination of banking system are the main challenging issues of today's world. These reasons motivate the attempts of this study to apply a composition of neural network by considering the C4.5 decision tree and the k-closest neighbor method as a variant of core boosting methodology with maximal strategy. To validate the proposed solution approach, a case study of Ansar Bank in Iran is utilized. From the results, it is observed that the proposed method provides a competitive output with the rate of 95% for the customers’ classification. It also outperforms other existing methods with the rate of C4.5 decision tree, neural network, Naive Bayes and KNN with the rate of 1.04%. The main finding of this research is to propose an algorithm with the error rate of 1.9% and error squared of 0.72% as the best performance among other methods from the literature. 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/16127 10.3991/ijim.v14i15.16127 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/16127/7771 Rights Information about rights held in and over the resource Copyright (c) 2020 Mohammad Vahid Sebt, Elahe Komijani, Shiva S. Ghasemi Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 15 (2020); pp. 157-174 1865-7923 Subject The topic of the resource Customer classification Boosting C4.5 decision tree Neural network KNN Title A name given to the resource Implementing a Data Mining Solution Approach to Identify the Valuable Customers for Facilitating Electronic Banking 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 AL-Shatnawi, Atallah Al-Saqqar, Faisal Alhusban, Safa’a Date A point or period of time associated with an event in the lifecycle of the resource 2020-09-22 Description An account of the resource In this paper, we introduce a multi-stage offline holistic handwritten Arabic text recognition model using the Local Binary Pattern (LBP) technique and two machine-learning approaches; Support Vector Machines (SVM) and Artificial Neural Network (ANN). In this model, the LBP method is utilized for extracting the global text features without text segmentation. The suggested model was tested and utilized on version II of the IFN/ENIT database applying the polynomial, linear, and Gaussian SVM and ANN classifiers. Performance of the ANN was assessed using the Levenberg-Marquardt (LM), Bayesian Regularization (BR), and Scaled Conjugate Gradient (SCG) training methods. The classification outputs of the herein suggested model were compared and verified with the results obtained from two benchmark Arabic text recognition models (ATRSs) that are based on the Discrete Cosine Transform (DCT) and Principal Component Analysis (PCA) methods using various normalization sizes of images of Arabic text. The classification outcomes of the suggested model are promising and better than the outcomes of the examined benchmarks models. The best classification accuracies of the suggested model (97.46% and 94.92%) are obtained using the polynomial SVM classifier and the BR ANN training methods, respectively. 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/16005 10.3991/ijim.v14i16.16005 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/16005/7859 Rights Information about rights held in and over the resource Copyright (c) 2020 Atallah AL-Shatnawi, Faisal Al-Saqqar, Safa’a alhusban Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 16 (2020); pp. 20-34 1865-7923 Subject The topic of the resource Handwritten Arabic Text Holistic Recognition Local Binary Pattern Support Vector Machines Artificial Neural Network. Title A name given to the resource A Holistic Model for Recognition of Handwritten Arabic Text Based on the Local Binary Pattern Technique Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article