HACR-MDL: HANDWRITTEN ARABIC CHARACTER RECOGNITION MODEL USING DEEP LEARNING

5 citations as recorded by crossref.

1. Arabic Handwritten Letters Recognition Using Convolutional Neural Networks B. SIDAOUI & M. KAOUAN https://doi.org/10.4316/AECE.2025.03004
2. Deep Learning in Written Arabic Linguistic Studies: A Comprehensive Survey M. Almanea https://doi.org/10.1109/ACCESS.2024.3488553
3. Enhancing arabic handwriting recognition through optimized deep learning frameworks D. Soumia et al. https://doi.org/10.54021/seesv5n2-167
4. DeepAHR: a deep neural network approach for recognizing Arabic handwritten recognition H. AlShehri https://doi.org/10.1007/s00521-024-09674-2
5. Integrating Differentiated Instruction into Project-Based Learning: A. MUDINILLAH et al. https://doi.org/10.14391/ajhs.e3002.1.010