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    <title>DSpace Collection:</title>
    <link>http://localhost:8080/xmlui/handle/123456789/3525</link>
    <description />
    <pubDate>Tue, 23 Jun 2026 06:28:58 GMT</pubDate>
    <dc:date>2026-06-23T06:28:58Z</dc:date>
    <item>
      <title>Power system restoring based on Artificial Neural  Network</title>
      <link>http://localhost:8080/xmlui/handle/123456789/3537</link>
      <description>Title: Power system restoring based on Artificial Neural  Network
Authors: Patil, Rupali R.; Sohale, Jagruti R; Kangune, Sujata P.
Abstract: Power companies now days are using different techniques for restoration of Power. There are many laid &#xD;
down procedures to be followed for Power restoration. Computer aided system can find more effective ways for power &#xD;
restoration. There are many challenges for power restoration. This paper briefly proves the idea behind the Artificial &#xD;
Neural Network in power restoration. It also describes the types of the Artificial Neural Network, their structures, &#xD;
different learning methods and power restoration methods. The power restoration plans are made by the Artificial &#xD;
Neural Network with the help of the power system restoration plan</description>
      <pubDate>Fri, 01 Jul 2022 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8080/xmlui/handle/123456789/3537</guid>
      <dc:date>2022-07-01T00:00:00Z</dc:date>
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    <item>
      <title>Study of Cryptography Encryption for Network Security</title>
      <link>http://localhost:8080/xmlui/handle/123456789/3528</link>
      <description>Title: Study of Cryptography Encryption for Network Security
Authors: Maniyar, Mariyam E
Abstract: In order to provide security for network and data transmission for wireless network, cryptography and &#xD;
network encryption techniques are being used. One of the key aspects of wireless network data transmission is to &#xD;
provide data protection and security. In the wireless networks sensors are linked to the base station. The need for &#xD;
protecting wireless network sensor is very critical and hence encryption and network security are essential. Network &#xD;
security comprises security for the entire network system. Network security is important because it protects valuable &#xD;
data, which, when possessed by the wrong person, could end up causing a wide spectrum of problems, from &#xD;
inconveniences to catastrophes. An organization without adequate network security cannot function. Secure&#xD;
communication can be achieved through various encryption techniques viz. cryptography, digital signatures, &#xD;
steganography, digital watermarking etc. Cryptography is a technique of encryption used to secure information and &#xD;
protect the network, as various networks are related and admire attacks and intrusions. In this paper we discuss the &#xD;
cryptography with its aims, forms and algorithms.</description>
      <pubDate>Thu, 14 Jul 2022 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8080/xmlui/handle/123456789/3528</guid>
      <dc:date>2022-07-14T00:00:00Z</dc:date>
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    <item>
      <title>A Musical Composition Assistant System  using LSTM</title>
      <link>http://localhost:8080/xmlui/handle/123456789/3526</link>
      <description>Title: A Musical Composition Assistant System  using LSTM
Authors: Fegade, Poonam G; Jagtap, Trupti
Abstract: : Universally, music is one of the elements that create harmony in this world. Traditionally playing music &#xD;
or creating it has always been seen as a manual task. Music can be created with the help of instruments, voices and &#xD;
sounds. In the Modern Era of technology and AI, we can automate this process. For this, we must understand the basic &#xD;
structure of how music forms and view it scientifically. For the proposed system, we are using RNN-LSTM algorithm &#xD;
to generate music from given sample inputs. A Musical Composition Assistant System (MCAS) involves &#xD;
transformation of music scores into time series representation, encoding the music. A model is designed to execute this &#xD;
algorithm where data is represented with the help of musical instrument digital interface (MIDI) file format for easier &#xD;
access and better understanding. Pre-processing of data before feeding it into the model, revealing methods to read, &#xD;
process and prepare MIDI files for input are used. This system creates good music pieces in MIDI format with given &#xD;
input. The proposed system uses Flask API to interact with the frontend</description>
      <pubDate>Tue, 12 Jul 2022 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8080/xmlui/handle/123456789/3526</guid>
      <dc:date>2022-07-12T00:00:00Z</dc:date>
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