<?xml version="1.0" encoding="UTF-8"?>
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  <title>DSpace Collection:</title>
  <link rel="alternate" href="http://localhost:8080/xmlui/handle/123456789/3369" />
  <subtitle />
  <id>http://localhost:8080/xmlui/handle/123456789/3369</id>
  <updated>2026-06-23T06:32:50Z</updated>
  <dc:date>2026-06-23T06:32:50Z</dc:date>
  <entry>
    <title>Pollen Classification of three types of plants of the family Malvaceae using Computational Intelligence Approach</title>
    <link rel="alternate" href="http://localhost:8080/xmlui/handle/123456789/3546" />
    <author>
      <name>DHAWALE, VIJAY</name>
    </author>
    <author>
      <name>DUDUL, SANJAY</name>
    </author>
    <author>
      <name>TIDKE, JAYKIRAN</name>
    </author>
    <id>http://localhost:8080/xmlui/handle/123456789/3546</id>
    <updated>2023-01-02T11:16:45Z</updated>
    <published>2021-01-01T00:00:00Z</published>
    <summary type="text">Title: Pollen Classification of three types of plants of the family Malvaceae using Computational Intelligence Approach
Authors: DHAWALE, VIJAY; DUDUL, SANJAY; TIDKE, JAYKIRAN
Abstract: The Malvaceae family is a kind of plants, which are commonly found near habitat places in India. &#xD;
The earlier approaches reported in the literature were tedious and time consuming with less accuracy due to the &#xD;
similarity in shape and the exine sculptures of pollens. We describe a new classification approach for the &#xD;
classification of three types of pollen grains of the Malvaceae family based on feature vector comprised of &#xD;
Histogram coefficients and image statistics. The approach presented gives precise accuracy in classification of &#xD;
pollen grains of the same family by using SEM images</summary>
    <dc:date>2021-01-01T00:00:00Z</dc:date>
  </entry>
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