<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ahmad Shafkat | Md. Mahbubur Rahman</title><link>https://mmrahman.pages.dev/authors/ahmad-shafkat/</link><atom:link href="https://mmrahman.pages.dev/authors/ahmad-shafkat/index.xml" rel="self" type="application/rss+xml"/><description>Ahmad Shafkat</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Oct 2025 00:00:00 +0000</lastBuildDate><item><title>MangoClassify-12: A high-resolution image dataset of twelve indigenous Bangladeshi mango cultivars</title><link>https://mmrahman.pages.dev/publications/mangoclassify-12-a-high-resolution-image-dataset-of-twelve-indigenous-bangladeshi-mango-cultivars/</link><pubDate>Wed, 01 Oct 2025 00:00:00 +0000</pubDate><guid>https://mmrahman.pages.dev/publications/mangoclassify-12-a-high-resolution-image-dataset-of-twelve-indigenous-bangladeshi-mango-cultivars/</guid><description>&lt;p&gt;Volume: 62; Pages: 112037; Article: 112037.&lt;/p&gt;</description></item><item><title>FruitsMultiNet: A deep neural network approach to identify fruits through multi-scale feature fusion using mobile interface</title><link>https://mmrahman.pages.dev/publications/fruitsmultinet/</link><pubDate>Fri, 01 Aug 2025 00:00:00 +0000</pubDate><guid>https://mmrahman.pages.dev/publications/fruitsmultinet/</guid><description>&lt;p&gt;Volume: 22; Pages: 102083; Article: 102083.&lt;/p&gt;</description></item><item><title>Automated Code Smell Detection for Software Quality Assurance Using a Web-Based Machine Learning Framework</title><link>https://mmrahman.pages.dev/publications/automated-code-smell-detection-for-software-quality-assurance-using-a-web-based-machine-learning-fra/</link><pubDate>Mon, 21 Apr 2025 00:00:00 +0000</pubDate><guid>https://mmrahman.pages.dev/publications/automated-code-smell-detection-for-software-quality-assurance-using-a-web-based-machine-learning-fra/</guid><description>&lt;p&gt;This record links to the publicly available preprint.&lt;/p&gt;</description></item></channel></rss>