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    <title>DSpace Collection:</title>
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    <dc:date>2026-06-23T06:29:58Z</dc:date>
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  <item rdf:about="http://localhost:8080/xmlui/handle/123456789/3795">
    <title>Combining Multiple Feature Extraction and Classification Methods to Study Performance of Handwritten Sanskrit Character Recognition</title>
    <link>http://localhost:8080/xmlui/handle/123456789/3795</link>
    <description>Title: Combining Multiple Feature Extraction and Classification Methods to Study Performance of Handwritten Sanskrit Character Recognition
Authors: Shelke, Shraddha V; Chandwadkar, D.M.; Ugale, S. P.
Abstract: The recognition of Sanskrit handwriting has been&#xD;
found to be one of the most challenging research topics. The&#xD;
Sanskrit language is written using the Devanagari Script. In&#xD;
this paper, we implemented novel algorithm to recognize&#xD;
handwritten characters using four different feature extraction&#xD;
methods, resizing the image, Canny Edge detection, Hybrid&#xD;
Discrete Wavelet-Discrete Cosine Transform (DWT-DCT),&#xD;
Histogram of oriented Gradients (HOG). Classification is done&#xD;
by using support vector machine with cubic kenrel and neural&#xD;
network with ReLU activation function. When features are&#xD;
extracted by HOG, the SVM provides classification accuracy of&#xD;
97.10% while the neural network provides 91.40%. SVM has&#xD;
been found to provide superior classification than neural&#xD;
networks for all feature extraction strategies.</description>
    <dc:date>2023-08-18T00:00:00Z</dc:date>
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  <item rdf:about="http://localhost:8080/xmlui/handle/123456789/3794">
    <title>A Combined Cryptography and Error Correction System based on Enhanced AES and LDPC</title>
    <link>http://localhost:8080/xmlui/handle/123456789/3794</link>
    <description>Title: A Combined Cryptography and Error Correction System based on Enhanced AES and LDPC
Authors: Chothe, R.V.; Ugale, S.P.; Chandwadkar, D.M.; Shelke, S.V.
Abstract: Any military organization nowadays depend on&#xD;
networks and communications. Sensitive data that is essential&#xD;
to national security relies on these networks and applications.&#xD;
As a result, the need to safeguard and protect this data arises.&#xD;
An authenticated crypto-coding (encryption combined with&#xD;
channel coding) system is developed which incorporates improved Advanced Encryption Standard for security and Low&#xD;
Density Parity Check codes for error correction. Image encryption and decryption is done with AES-256 with authentication. LDPC is incorporated as one of the rounds of Encryption. The entire communication system is implemented and&#xD;
simulated using MATLAB. Encryption-encoding-scramblingmodulation is performed on transmit side. The channel model&#xD;
of Additive white Gaussian noise with varying values of SNRSignal to Noise ratio is used. The results of Bit error rates&#xD;
(BER), no. of errors, recovered images and histograms for different SNR values are added. The parameters like correlation,&#xD;
entropy and noise variance are calculated and verified. The&#xD;
Enhanced encryption offers a higher security compared to&#xD;
conventional AES. Hence, the modified method can be used to&#xD;
safeguard sensitive information</description>
    <dc:date>2023-08-18T00:00:00Z</dc:date>
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