Syed Muhammad Hussain

Syed Muhammad Hussain

Machine Learning Engineer at Beam AI specializing in LLMs, RAG systems, and AI automation.

Publications

You can also find my articles on my Google Scholar profile and my IEEE Xplore author page.

A Machine Learning Approach to Arabic Phoneme Classification through Ensemble Techniques

Published in 2024 5th International Conference on Advancements in Computational Sciences (ICACS), 2024

This paper presents a machine learning approach using ensemble techniques for Arabic phoneme classification.

Recommended citation: Syed Muhammad Hussain, Muhammad Najeeb Jilani, Munim Ul Haq, Muhammad Shahid Shaikh. (2024). "A Machine Learning Approach to Arabic Phoneme Classification through Ensemble Techniques." 2024 5th International Conference on Advancements in Computational Sciences (ICACS). IEEE.
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Navigating the Maze Environment in ROS-2: An Experimental Comparison of Global and Local Planners for Dynamic Trajectory Planning in Mobile Robots

Published in 2024 International Conference on Robotics and Automation in Industry (ICRAI), 2024

This paper presents an experimental comparison of global and local planners for dynamic trajectory planning in mobile robots using ROS-2.

Recommended citation: Syed Muhammad Hussain, Muhammad Ahmed Atif, Syed Muhammad Daniyal, Laiba Ahmed, Basit Memon, Qasim Pasta. (2024). "Navigating the Maze Environment in ROS-2: An Experimental Comparison of Global and Local Planners for Dynamic Trajectory Planning in Mobile Robots." 2024 International Conference on Robotics and Automation in Industry (ICRAI). IEEE.
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Enhanced Camouflaged Object Detection for Agricultural Pest Management: Insights from Unified Benchmark Dataset Analysis

Published in 2024 21st International Bhurban Conference on Applied Sciences and Technology (IBCAST), 2024

This paper explores enhanced camouflaged object detection techniques for agricultural pest management using unified benchmark dataset analysis.

Recommended citation: Syed Muhammad Hussain, Samiya Ali Zaidi, Afsah Hyder, Syed Muhammad Ali Rizvi, Muhammad Farhan. (2024). "Enhanced Camouflaged Object Detection for Agricultural Pest Management: Insights from Unified Benchmark Dataset Analysis." 2024 21st International Bhurban Conference on Applied Sciences and Technology (IBCAST). IEEE.
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Integrating Ensemble Learning into Remote Health Monitoring for Accurate Prediction of Oral and Maxillofacial Diseases

Published in 2023 25th International Multitopic Conference (INMIC), 2023

This paper presents an integrated ensemble learning approach for remote health monitoring to accurately predict oral and maxillofacial diseases.

Recommended citation: Syed Muhammad Hussain, Samiya Ali Zaidi, Afsah Hyder, Muhammad Mobeen Movania. (2023). "Integrating Ensemble Learning into Remote Health Monitoring for Accurate Prediction of Oral and Maxillofacial Diseases." 2023 25th International Multitopic Conference (INMIC). IEEE.
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Automated Video Summarization for Suspicious Event Detection in Surveillance Systems: A Pipeline Approach

Published in 2023 20th International Bhurban Conference on Applied Sciences and Technology (IBCAST), 2023

This paper presents a pipeline approach for automated video summarization to detect suspicious events in surveillance systems.

Recommended citation: Syed Muhammad Hussain, Muhammad Azeem Haider, Mohammad Affan Ullah Habib, Muhammad Farhan. (2023). "Automated Video Summarization for Suspicious Event Detection in Surveillance Systems: A Pipeline Approach." 2023 20th International Bhurban Conference on Applied Sciences and Technology (IBCAST). IEEE.
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