<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Chapter | Md. Mahbubur Rahman</title><link>https://mmrahman.pages.dev/publication_types/chapter/</link><atom:link href="https://mmrahman.pages.dev/publication_types/chapter/index.xml" rel="self" type="application/rss+xml"/><description>Chapter</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Jan 2025 00:00:00 +0000</lastBuildDate><image><url>https://mmrahman.pages.dev/media/icon_hu_1c0e9cb08cfb822a.png</url><title>Chapter</title><link>https://mmrahman.pages.dev/publication_types/chapter/</link></image><item><title>AcneMultiNet: A Deep Learning-Based Hybrid Architecture for Acne Detection</title><link>https://mmrahman.pages.dev/publications/acnemultinet-a-deep-learning-based-hybrid-architecture-for-acne-detection/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mmrahman.pages.dev/publications/acnemultinet-a-deep-learning-based-hybrid-architecture-for-acne-detection/</guid><description>&lt;p&gt;Pages: 196-208.&lt;/p&gt;</description></item><item><title>An Optimal Feature Selection-Based Approach to Predict Cervical Cancer Using Machine Learning</title><link>https://mmrahman.pages.dev/publications/an-optimal-feature-selection-based-approach-to-predict-cervical-cancer-using-machine-learning/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mmrahman.pages.dev/publications/an-optimal-feature-selection-based-approach-to-predict-cervical-cancer-using-machine-learning/</guid><description>&lt;p&gt;Pages: 327-340.&lt;/p&gt;</description></item><item><title>Assessing the Effectiveness of Supervised Learning Models in Predicting Risks of Diabetes and Cardiovascular Disease with Explainability Analysis</title><link>https://mmrahman.pages.dev/publications/assessing-the-effectiveness-of-supervised-learning-models-in-predicting-risks-of-diabetes-and-cardio/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mmrahman.pages.dev/publications/assessing-the-effectiveness-of-supervised-learning-models-in-predicting-risks-of-diabetes-and-cardio/</guid><description>&lt;p&gt;Pages: 267-282.&lt;/p&gt;</description></item><item><title>Comprehensive Predictive Insights: Leveraging Clinical Data for Hepatitis C Prediction with Machine Learning and Deep Learning</title><link>https://mmrahman.pages.dev/publications/comprehensive-predictive-insights-leveraging-clinical-data-for-hepatitis-c-prediction-with-machine-l/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mmrahman.pages.dev/publications/comprehensive-predictive-insights-leveraging-clinical-data-for-hepatitis-c-prediction-with-machine-l/</guid><description>&lt;p&gt;Pages: 167-181.&lt;/p&gt;</description></item><item><title>HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach</title><link>https://mmrahman.pages.dev/publications/hairlossmultinet-a-multi-scale-feature-fusion-method-using-deep-learning-approach/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mmrahman.pages.dev/publications/hairlossmultinet-a-multi-scale-feature-fusion-method-using-deep-learning-approach/</guid><description>&lt;p&gt;Pages: 183-195.&lt;/p&gt;</description></item></channel></rss>