<?xml version="1.0" encoding="UTF-8"?>
<doi_batch version="4.3.0" xmlns="http://www.crossref.org/doi_resources_schema/4.3.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/doi_resources_schema/4.3.0 http://www.crossref.org/schema/deposit/doi_resources4.3.0.xsd">
<head>
<doi_batch_id>09c0a1a7-ed03-40a0-9bf6-53be813545b7</doi_batch_id>
<depositor>
<name>beie</name>
<email_address>director@blueeyesintelligence.org</email_address>
</depositor>
</head>
<body>
<doi_citations>
<doi>10.35940/ijrte.E5287.019521</doi>
<citation_list><citation key="ref0"><unstructured_citation>Mayank Singh, Rahul (2020). Handwritten Digit Recognition using Machine Learning. International Research Journal of Engineering and Technology, 7(7), 921-925.</unstructured_citation></citation><citation key="ref1"><doi>10.30534/ijatcse/2020/66922020</doi><unstructured_citation>Yellapragada SS Bharadwaj, Rajaram P, Sriram V.P, Sudhakar S, KollaBhanuPrakash (2020, April). Effective Handwritten Digit Recognition using Deep Convolution Neural Network. International Journal of Advanced Trends in Computer Science and Engineering, 9(2), 1335-1339.</unstructured_citation></citation><citation key="ref2"><doi>10.1016/j.procs.2020.03.309</doi><unstructured_citation>SavitaAhlawata, AmitChoudhary (2019). Hybrid CNN-SVM Classifier for Handwritten Digit Recognition. Elsevier B.V, International Conference on Computational Intelligence and Data Science, Procedia Computer Science 167, 2554-2560.</unstructured_citation></citation><citation key="ref3"><doi>10.1109/ICAEE48663.2019.8975496</doi><unstructured_citation>FathmaSiddique, ShadmanSakib, Md. Abu BakrSiddique (2019). Recognition of Handwritten Digit using Convolutional Neural Network in Python with Tensorflow and Comparison of Performance for Various Hidden Layers. 5th International Conference on Advances in Electrical Engineering (ICAEE).</unstructured_citation></citation><citation key="ref4"><unstructured_citation>Vijayalaxmi R Rudraswamimath, Bhavanishankar K (2019, June). Handwritten Digit Recognition using CNN. International Journal of Innovative Science and Research Technology, 4(6), 182-187.</unstructured_citation></citation><citation key="ref5"><unstructured_citation>AnujDutt, AashiDutt (2017, July). Handwritten Digit Recognition Using Deep Learning&quot;, International Journal of Advanced Research in Computer Engineering &amp; Technology (IJARCET), 6(7), 990-997.</unstructured_citation></citation><citation key="ref6"><doi>10.1109/ICPET.2017.20</doi><unstructured_citation>M. M. A. Ghosh and A. Y. Maghari (2017). A Comparative Study on Handwriting Digit Recognition Using Neural Networks. International Conference on Promising Electronic Technologies.</unstructured_citation></citation><citation key="ref7"><unstructured_citation>Haider A. Alwzwazy, Hayder M. Albehadili, Younes S. Alwan, Naz E. Islam (2016, February). Handwritten Digit Recognition Using Convolutional Neural Networks. International Journal of Innovative Research in Computer and Communication Engineering, 4(2), 1101-1106.</unstructured_citation></citation><citation key="ref8"><journal_title>Journal Pattern Recognition Elsevier</journal_title><author>Lauer</author><volume>40</volume><issue>6</issue><first_page>1816</first_page><cYear>2007</cYear><doi>10.1016/j.patcog.2006.10.011</doi><article_title>A trainable feature extractor for handwritten digit recognition</article_title><unstructured_citation>Fabien Lauer, Ching Y. Suen, G'erard Bloch (2007). A trainable feature extractor for handwritten digit recognition. Journal Pattern Recognition, Elsevier, 40(6), 1816-1824.</unstructured_citation></citation></citation_list>
</doi_citations>
</body>
</doi_batch>
