1. Malik, Sohail Iqbal; Al-Emran, Mostafa. (2018), Social Factors Influence on Career Choices for Female Computer Science Students, INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING Volume: 13 Issue: 5 Pages: 56-70 Published: 2018.
2. Tawafak, Ragad M.; Romli, Awanis M.; Alsinani, Maryam Juma. (2019), Student Assessment Feedback Effectiveness Model for Enhancing Teaching Method and Developing Academic Performance, INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY EDUCATION  Volume: 15   Issue: 3   Pages: 75-88   Published: JUL-SEP 2019
3.  Malik, Sohail Iqbal; Shakir, Mohanaad; Eldow, Abdalla; et al. (2019), Promoting Algorithmic Thinking in an Introductory Programming Course, INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING  Volume: 14   Issue: 1   Pages: 84-94   Published: 2019.

02>> M. Jamshidi, A. Shaltooki, Z. Dagal Zadeh, & A. Mohammad Darwesh "A Dynamic ID Assignment Mechanism to Defend Against Node Replication Attack in Static Wireless Sensor Networks," JOIV : International Journal on Informatics Visualization, vol. 3, no. 1, , pp. 13 - 17, Sep. 2018. https://doi.org/10.30630/joiv.3.1.161

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1. Jamshidi, Mojtaba; Esnaashari, Mehdi; Darwesh, Aso Mohammad; et al. (2019), Detecting Sybil nodes in stationary wireless sensor networks using learning automaton and client puzzles, IET COMMUNICATIONS  Volume: 13   Issue: 13   Pages: 1988-1997   Published: AUG 13 2019.
2. Jamshidi, Mojtaba; Zangeneh, Ehsan; Esnaashari, Mehdi; et al. (2019), A Novel Model of Sybil Attack in Cluster-Based Wireless Sensor Networks and Propose a Distributed Algorithm to Defend It, WIRELESS PERSONAL COMMUNICATIONS  Volume: 105   Issue: 1   Pages: 145-173   Published: MAR 2019.
3. Jamshidi, Mojtaba; Ranjbari, Milad; Esnaashari, Mehdi; et al. (2019), A New Algorithm to Defend Against Sybil Attack in Static Wireless Sensor Networks Using Mobile Observer Sensor Nodes, AD HOC & SENSOR WIRELESS NETWORKS  Volume: 43   Issue: 3-4   Pages: 213-238   Published: 2019

03>> J. Na`am "Accuracy of Panoramic Dental X-Ray Imaging in Detection of Proximal Caries with Multiple Morpological Gradient (mMG) Method," JOIV : International Journal on Informatics Visualization, vol. 1, no. 1, , pp. 5-11, Mar 2017. https://doi.org/10.30630/joiv.1.1.13

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1. Na'am, Jufriadif, (2017), Edge Detection on Objects of Medical Image with Enhancement multiple Morphological Gradient Method, Conference: 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Location: Univ Ahmad Dahlan, Yogyakarta, INDONESIA Date: SEP 19-21, 2017, 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, COMPUTER SCIENCE AND INFORMATICS (EECSI) Pages: 61-67 Published: 2017

04>> H. Amnur "Customer Relationship Management and Machine Learning Technology for Identifying the Customer," JOIV : International Journal on Informatics Visualization, vol. 1, no. 1, , pp. 12-15, Mar. 2017. https://doi.org/10.30630/joiv.1.1.10

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1. Li, X. T.; Feng, F. (2018), ENTERPRISE CUSTOMER RELATIONSHIP MANAGEMENT BASED ON BIG DATA MINING, LATIN AMERICAN APPLIED RESEARCH  Volume: 48   Issue: 3   Special Issue: SI   Pages: 163-168   Published: 2018

05>> A. Ghali, S. Jamel, K. Mohamad, N. Yakub, & M. Mat Deris "A Review of Iris Recognition Algorithms," JOIV : International Journal on Informatics Visualization, vol. 1, no. 4-2, , pp. 175 - 178, Nov. 2017. https://doi.org/10.30630/joiv.1.4-2.62

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1. Belanda, S. E., Ghali, A. A., Jamel, S., & Deris, M. M. (2018). A two-way image quality enhancement for iris recognition system using modified enhanced histogram equalization for normalization. Paper presented at the 2018 7th International Conference on Reliability, Infocom Technologies and Optimization: Trends and Future Directions, ICRITO 2018, 425-430. doi:10.1109/ICRITO.2018.8748727 

06>> D. Lashayo, & M. Md Johar "Instructor Adoption of E-learning Systems in Tanzania’s Universities: A Proposed Multi-Factors Adoption Model (MFAM11)," JOIV : International Journal on Informatics Visualization, vol. 2, no. 2, , pp. 76 - 80, Mar. 2018. https://doi.org/10.30630/joiv.2.2.117

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1. Mensah, I. K., Tianyu, Z., Zeng, G., & Chuanyong, L. (2019). Determinants of the continued intention of college students in china to use DiDi mobile car-sharing services. SAGE Open, 9(4) doi:10.1177/2158244019893697.

07>> M. Shodiq, D. Kusuma, M. Rifqi, A. Barakbah, & T. Harsono "Neural Network for Earthquake Prediction Based on Automatic Clustering in Indonesia," JOIV : International Journal on Informatics Visualization, vol. 2, no. 1, , pp. 37 - 43, Feb. 2018. https://doi.org/10.30630/joiv.2.1.106

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1. Obornev, E. A., Shimelevich, M. I., Obornev, I. E., & Nikitin, A. A. (2018). Image identification methods and neural network technologies in 2D/3D geoelectric data interpretation. Gornyi Zhurnal, (11), 34-38. doi:10.17580/gzh.2018.11.05

08>> M. Kumar, & P. j "Analysis of Network Function Virtualization and Software Defined Virtualization," JOIV : International Journal on Informatics Visualization, vol. 1, no. 4, , pp. 122 - 126, Nov. 2017. https://doi.org/10.30630/joiv.1.4.40

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1. Ayankoya, F. Y.; Agbaje, M. O.; Ohwo, B. O. (2019), Appraisal on Cloud Computing and Network Functions Virtualization, INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY  Volume: 19   Issue: 7   Pages: 38-44   Published: JUL 30 2019

__________________________________________________________________________
JOIV : International Journal on Informatics Visualization
ISSN 2549-9610  (print) | 2549-9904 (online)
Organized by Society of Visual Informatics, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
E : [email protected] , [email protected]

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