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A Hybrid CNN-LSTM Model for Handwritten Text Recognition with Comparative Analysis of Similarity Algorithms for Automated Answer Scoring.

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Title: A Hybrid CNN-LSTM Model for Handwritten Text Recognition with Comparative Analysis of Similarity Algorithms for Automated Answer Scoring.
Authors: Bagade, Jayashree1 (AUTHOR), Rajebhosale, Sagar2 (AUTHOR), Dhage, Manisha3 (AUTHOR), Hedaoo, Chetas4 (AUTHOR), Sultanpure, Kavita1 (AUTHOR) kavita.sultanpure1@vit.edu, Godbole, Shaunak5 (AUTHOR)
Source: Ingénierie des Systèmes d'Information. Mar2026, Vol. 31 Issue 3, p965-975. 11p.
Database: Business Source Ultimate
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RecordInfo BibRecord:
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        Value: 10.18280/isi.310326
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      – Code: eng
        Text: English
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        PageCount: 11
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      – TitleFull: A Hybrid CNN-LSTM Model for Handwritten Text Recognition with Comparative Analysis of Similarity Algorithms for Automated Answer Scoring.
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            NameFull: Sultanpure, Kavita
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              Text: Mar2026
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              Y: 2026
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