MNIST Handwritten Digit Recognition Using a Deep Learning-Based Modified Dual Input Convolutional Neural Network (DICNN) Model
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3562-4_44
Reference21 articles.
1. Essam F, Samy H, Wagdy J et al (2023) Mlhandwrittenrecognition: handwritten digit recognition using machine learning algorithms. J Comput Commun 2(1):9–19
2. Ahmed SS, Mehmood Z, Awan IA, Yousaf RM (2023) A novel technique for handwritten digit recognition using deep learning. J Sens 2023
3. Surekha M, Goyal R, Sahu R, Singh S (2023) Recognition of handwritten numbers using machine learning and deep learning. Technical report, EasyChair
4. Vaidya R, Trivedi D, Satra S, Pimpale M (2018) Handwritten character recognition using deep-learning. In: 2018 Second international conference on inventive communication and computational technologies (ICICCT). IEEE, pp 772–775
5. Jabde M, Patil C, Mali S, Vibhute A (2023) Comparative study of machine learning and deep learning classifiers on handwritten numeral recognition. In: International symposium on intelligent informatics: proceedings of ISI 2022. Springer, pp 123–137
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