Pengklasifikasian Citra Tulisan Anak Melalui Metode CNN sebagai Pendukung Pendeteksian Dini Disgrafia
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A.Z.A Zainuddin, Khuan Y. Lee, & W. Mansor. (2018). Extreme Learning Machine for Distinction of EEG Signal Pattern of Dyslexic Children in Writing. IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES).
Drotár, P., & Dobeš, M. (2020). Dysgraphia detection through machine learning. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-78611-9
Döhla, D., & Heim, S. (2016). Developmental Dyslexia and Dysgraphia: What can We Learn from the One About the Other? Frontiers in Psychology, 6. https://doi.org/10.3389/fpsyg.2015.02045
Felix, Wijaya, J., Sutra, S. P., Kosasih, P. W., & Sirait, P. (2020). Implementasi Convolutional Neural Network Untuk Identifikasi Jenis Tanaman Melalui Daun. Jurnal SIFO Mikroskil, 21(1).
Isa, I. S., Syazwani Rahimi, W. N., Ramlan, S. A., & Sulaiman, S. N. (2019). Automated Detection of Dyslexia Symptom Based on Handwriting Image for Primary School Children. Procedia Computer Science, 163. https://doi.org/10.1016/j.procs.2019.12.127
Kariyawasam, R., Nadeeshani, M., Hamid, T., Subasinghe, I., & Ratnayake, P. (2019). A Gamified Approach for Screening and Intervention of Dyslexia, Dysgraphia and Dyscalculia. 2019 International Conference on Advancements in Computing, ICAC 2019. https://doi.org/10.1109/ICAC49085.2019.9103336
Kariyawasam, R., Nadeeshani, M., Hamid, T., Subasinghe, I., Samarasinghe, P., & Ratnayake, P. (2019, December). Pubudu: Deep Learning Based Screening And Intervention of Dyslexia, Dysgraphia And Dyscalculia. 2019 14th Conference on Industrial and Information Systems (ICIIS). https://doi.org/10.1109/ICIIS47346.2019.9063301
Sihwi, S. W., Fikri, K., & Aziz, A. (2019). Dysgraphia Identification from Handwriting with Support Vector Machine Method. Journal of Physics: Conference Series, 1201. https://doi.org/10.1088/1742-6596/1201/1/012050
Valentina, R., Rostianingsih, S., Tjondrowiguno, A. N., & Surabaya, J. S. (2020). Pengenalan Gambar Botol Plastik dan Kaleng Minuman Menggunakan Metode Convolutional Neural Network. Jurnal Infra, 8(1).
Zahia, S., Garcia-Zapirain, B., Saralegui, I., & Fernandez-Ruanova, B. (2020). Dyslexia detection using 3D convolutional neural networks and functional magnetic resonance imaging. Computer Methods and Programs in Biomedicine, 197, 105726. https://doi.org/10.1016/j.cmpb.2020.105726
Zolna, K., Asselborn, T., Jolly, C., Casteran, L., Nguyen-Morel, M.-A., Johal, W., & Dillenbourg, P. (2019). The Dynamics of Handwriting Improves the Automated Diagnosis of Dysgraphia.
DOI: http://dx.doi.org/10.22441/incomtech.v11i3.13769
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