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Hybrid Deep Learning Model–Based Prediction of Images Related to Cyberbullying

International Journal of Applied Mathematics and Computer Science's Cover Image
International Journal of Applied Mathematics and Computer Science
Towards Self-Healing Systems through Diagnostics, Fault-Tolerance and Design (Special section, pp. 171-269), Marcin Witczak and Ralf Stetter (Eds.)
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Abaido, G.M. (2019). Cyberbullying on social media platforms among university students in the United Arab Emirates, International Journal of Adolescence and Youth 25(1): 407–420.10.1080/02673843.2019.1669059 Search in Google Scholar

Alim, S. (2015). Analysis of tweets related to cyberbullying, International Journal of Cyber Behavior, Psychology and Learning 5(4): 31–52.10.4018/IJCBPL.2015100103 Search in Google Scholar

Atlam, E.-S., Ewis, A., El-Raouf, M.A., Ghoneim, O. and Gad, I. (2022). A new approach in identifying the psychological impact of COVID-19 on university student’s academic performance, Alexandria Engineering Journal 61(7): 5223–5233.10.1016/j.aej.2021.10.046 Search in Google Scholar

Atlam, E.-S., Fuketa, M., Morita, K. and Ichi Aoe, J. (2000). Similarity measurement using term negative weight and its application to word similarity, Information Processing and Management 36(5): 717–736.10.1016/S0306-4573(00)00009-1 Search in Google Scholar

Blachnik, M. (2019). Ensembles of instance selection methods: A comparative study, International Journal of Applied Mathematics and Computer Science 29(1): 151–168, DOI: 10.2478/amcs-2019-0012. Open DOISearch in Google Scholar

Boulton, M.J. and Underwood, K. (1992). Bully/victim problems among middle school children, British Journal of Educational Psychology 62(1): 73–87.10.1111/j.2044-8279.1992.tb01000.x1558813 Search in Google Scholar

Cleetus, L., Sukumar, A.R. and Hemalatha, N. (2021). Computational prediction of disease detection and insect identification using xception model, bioRxiv, DOI: 10.1101/2021.08.10.455608, (preprint). Open DOISearch in Google Scholar

Cortis, K. and Handschuh, S. (2015). Analysis of cyberbullying tweets in trending world events, Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business, Graz, Austria, Article no. 7, pp.1–8 Search in Google Scholar

Delprato, M., Akyeampong, K. and Dunne, M. (2017). The impact of bullying on students’ learning in Latin America: A matching approach for 15 countries, International Journal of Educational Development 52: 37–57.10.1016/j.ijedudev.2016.10.002 Search in Google Scholar

Devidas, S., Rao, Y.V.,S. and Rekha, N.R. (2021). A decentralized group signature scheme for privacy protection in a blockchain, International Journal of Applied Mathematics and Computer Science 31(2): 353–364, DOI: 10.34768/amcs-2021-0024. Open DOISearch in Google Scholar

Elmezain, M. (2016). 3D fingertip detection on multi-class support vector machine based hand gesture recognition, Kasmera 44(8): 83–89. Search in Google Scholar

Elmezain, M. and Ibrahem, H.M. (2021). Retrieving semantic image using shape descriptors and latent-dynamic conditional random fields, The Computer Journal 64(12): 1876–1885.10.1093/comjnl/bxaa118 Search in Google Scholar

Elmezain, M., Othman, E.A. and Ibrahim, H.M. (2021). Temporal degree-degree and closeness-closeness: A new centrality metrics for social network analysis, Mathematics 9(22): 2850.10.3390/math9222850 Search in Google Scholar

Emine Cengil, A.C. (2019). Multiple classification of flower images using transfer learning, International Artificial Intelligence and Data Processing Symposium (IDAP), Malatya, Turkey, pp. 1–6. Search in Google Scholar

Eroğlu, Y., Yildirim, M. andÇinar, A. (2021). Convolutional neural networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR, Computers in Biology and Medicine 133, Paper ID: 104407.10.1016/j.compbiomed.2021.10440733901712 Search in Google Scholar

Fekkes, M. (2006). Do bullied children get ill, or do ill children get bullied? A prospective cohort study on the relationship between bullying and health-related symptoms, Pediatrics 117(5): 1568–1574.10.1542/peds.2005-018716651310 Search in Google Scholar

Gad, I. and Hosahalli, D. (2020). A comparative study of prediction and classification models on NCDC weather data, International Journal of Computers and Applications 44(5): 414–425.10.1080/1206212X.2020.1766769 Search in Google Scholar

Harjoseputro, Y., Yuda, I.P. and Danukusumo, K.P. (2020). MobileNets: Efficient convolutional neural network for identification of protected birds, International Journal on Advanced Science, Engineering and Information Technology 10(6): 2290.10.18517/ijaseit.10.6.10948 Search in Google Scholar

Hark, K. and Turgut Özal, E.S. (2019). Extractive text summarization via graph entropy (Çizge Entropi ile Çıkarıcı Metin Özetleme), 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), Malatya, Turkey, pp. 1–5. Search in Google Scholar

Hellsten, L., Crespi, I., Hendry, B. and Fermani, A. (2021). Extending the current theorization on cyberbullying: Importance of including socio-psychological perspectives, Italian Journal of Sociology of Education 13(3): 85–110. Search in Google Scholar

Hinton, G.E., Osindero, S. and Teh, Y.-W. (2006). A fast learning algorithm for deep belief nets, Neural Computation 18(7): 1527–1554.10.1162/neco.2006.18.7.152716764513 Search in Google Scholar

Ibrahem, H.M., Elmezain, M. and Shoman, S. (2020). Adaptive image enhancement approach based on double-plateaus histogram, Journal of Theoretical and Applied Information Technology 98(10): 1675–1685. Search in Google Scholar

Kibriya, S., Xu, Z.P. and Zhang, Y. (2015). The impact of bullying on educational performance in Ghana: A bias-reducing matching approach, 2015 AAEA & WAEA Joint Annual Meeting, San Francisco, USA, Paper no. 205409. Search in Google Scholar

Kosciw, J.G., Palmer, N.A., Kull, R.M. and Greytak, E.A. (2012). The effect of negative school climate on academic outcomes for LGBT youth and the role of in-school supports, Journal of School Violence 12(1): 45–63.10.1080/15388220.2012.732546 Search in Google Scholar

Le, A.T., Miller, P.W., Heath, A.C. and Martin, N. (2005). Early childhood behaviours, schooling and labour market outcomes: Estimates from a sample of twins, Economics of Education Review 24(1): 1–17.10.1016/j.econedurev.2004.04.004 Search in Google Scholar

Longobardi, C., Thornberg, R. and Morese, R. (2022). Cyberbullying and mental health: An interdisciplinary perspective, Frontiers in Psychology 12, Article ID: 827106.10.3389/fpsyg.2021.827106878988035095704 Search in Google Scholar

Malki, Z., Atlam, E.-S., Hassanien, A.E., Dagnew, G., Elhosseini, M.A. and Gad, I. (2020). Association between weather data and COVID-19 pandemic predicting mortality rate: Machine learning approaches, Chaos, Soli-tons & Fractals 138, Article ID: 110137.10.1016/j.chaos.2020.110137736700832834583 Search in Google Scholar

McGuire, L. and Norman, J. (2018). Parents coping with cyberbullying: A bioecological analysis, in M. Campbell and S. Bauman (Eds), Reducing Cyberbullying in Schools, Elsevier, Amsterdam, pp. 61–72.10.1016/B978-0-12-811423-0.00005-5 Search in Google Scholar

Mingxing Tan, Q.V.L. (2019). EfficientNet: Rethinking model scaling for convolutional neural networks, International Conference on Machine Learning, Long Beach, USA, pp. 6105–6114. Search in Google Scholar

Ponzo, M. (2013). Does bullying reduce educational achievement? An evaluation using matching estimators, Journal of Policy Modeling 35(6): 1057–1078.10.1016/j.jpolmod.2013.06.002 Search in Google Scholar

Radhika, K., Devika, K., Aswathi, T., Sreevidya, P., Sowmya, V. and Soman, K.P. (2020). Performance analysis of NASNet on unconstrained ear recognition, in M. Rout et al. (Eds), Nature Inspired Computing for Data Science, Springer International Publishing, Cham, pp. 57–82.10.1007/978-3-030-33820-6_3 Search in Google Scholar

Redi, M. and Merialdo, B. (2012). A multimedia retrieval framework based on automatic graded relevance judgments, International Conference on Multimedia Modeling, Klagenfurt, Austria, pp. 300–311. Search in Google Scholar

Rui Zhao, Y.Z. and Chen, Z. (2019). Deep learning and its applications to machine health monitoring, Mechanical Systems and Signal Processing 115(3): 1568–1574.10.1016/j.ymssp.2018.05.050 Search in Google Scholar

Sandler, M., Howard, A., Zhu, M., Zhmoginov, A. and Chen, L.-C. (2018). MobileNetV2: Inverted residuals and linear bottlenecks, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, USA, pp. 4510–4520. Search in Google Scholar

Sarzosa M. and Urzúa S. (2015). Bullying among Adolescents: The Role of Cognitive and Non-Cognitive Skills, National Bureau of Economic Research 5(4): 10–14.10.3386/w21631 Search in Google Scholar

Setiana, D. and Besar, N. (2021). ICT emerging technology impact within learning ecosystem cyberbullying among students, in P. Ordóñez de Pablos et al. (Eds), Handbook of Research on Analyzing IT Opportunities for Inclusive Digital Learning, IGI Global, Hershey, pp. 154–171.10.4018/978-1-7998-7184-2.ch009 Search in Google Scholar

Tripathi, K., Gupta, A.K. and Vyas, R.G. (2020). Deep residual learning for image classification using cross validation, International Journal of Innovative Technology and Exploring Engineering 9(4): 1525–1530.10.35940/ijitee.F4131.049620 Search in Google Scholar

Zhang, H., Liu, C., Zhang, Z., Xing, Y., Liu, X., Dong, R., He, Y., Xia, L. and Liu, F. (2021). Recurrence plot-based approach for cardiac arrhythmia classification using inception-ResNet-v2, Frontiers in Physiology 12: 1–12, Paper ID: 648950.10.3389/fphys.2021.648950816539434079470 Search in Google Scholar

Zohair, Elsayed, Ewis, A., Dagnew, G., Reda, A., Elmarhomy, G., Elhosseini, M.A., Hassanien, A.E. and Gad, I. (2021). ARIMA models for predicting the end of COVID-19 pandemic and the risk of a second rebound, Neural Computing and Applications 33(7): 2929–2948.10.1007/s00521-020-05434-0758355933132535 Search in Google Scholar

eISSN:
2083-8492
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Mathematics, Applied Mathematics