<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Md Omor Faruk | Md. Mahbubur Rahman</title><link>https://mmrahman.pages.dev/authors/md-omor-faruk/</link><atom:link href="https://mmrahman.pages.dev/authors/md-omor-faruk/index.xml" rel="self" type="application/rss+xml"/><description>Md Omor Faruk</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 01 Sep 2026 00:00:00 +0000</lastBuildDate><item><title>Trait-Adaptive Hierarchical Attention Fusion of RGB-D data for automated lettuce phenotyping in hydroponic systems</title><link>https://mmrahman.pages.dev/publications/tahaf/</link><pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate><guid>https://mmrahman.pages.dev/publications/tahaf/</guid><description>&lt;p&gt;Volume: 252; Pages: 112101; Article: 112101.&lt;/p&gt;
&lt;p&gt;The journal version is linked above. An earlier preprint used the title Task-Adaptive Hierarchical Attention Fusion.&lt;/p&gt;</description></item><item><title>Performance-optimized Alzheimer’s detection using machine learning with SMOTE and randomized hyperparameter tuning</title><link>https://mmrahman.pages.dev/publications/performance-optimized-alzheimer-s-detection-using-machine-learning-with-smote-and-randomized-hyperpa/</link><pubDate>Mon, 05 Jan 2026 00:00:00 +0000</pubDate><guid>https://mmrahman.pages.dev/publications/performance-optimized-alzheimer-s-detection-using-machine-learning-with-smote-and-randomized-hyperpa/</guid><description>&lt;p&gt;Volume: 6; Issue: 1; Article: 95.&lt;/p&gt;</description></item><item><title>Adaptive Correspondence Learning for Multi-View Fusion of 3D Gaussian Reconstructions for Non-Invasive Strawberry Plant Phenotyping</title><link>https://mmrahman.pages.dev/publications/adaptive-correspondence-learning-for-multi-view-fusion-of-3d-gaussian-reconstructions-for-non-invasi/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://mmrahman.pages.dev/publications/adaptive-correspondence-learning-for-multi-view-fusion-of-3d-gaussian-reconstructions-for-non-invasi/</guid><description>&lt;p&gt;This record links to the publicly available preprint.&lt;/p&gt;</description></item><item><title>An integrated deep learning approach for enhancing brain tumor diagnosis</title><link>https://mmrahman.pages.dev/publications/an-integrated-deep-learning-approach-for-enhancing-brain-tumor-diagnosis/</link><pubDate>Mon, 01 Dec 2025 00:00:00 +0000</pubDate><guid>https://mmrahman.pages.dev/publications/an-integrated-deep-learning-approach-for-enhancing-brain-tumor-diagnosis/</guid><description>&lt;p&gt;Volume: 8; Pages: 100421; Article: 100421.&lt;/p&gt;</description></item></channel></rss>