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Published in 5th International Conference on Advancements in Computational Sciences, Lahore, Pakistan, 2023
This research investigates the classification of Arabic phonemes using ensemble techniques, aiming to improve the accuracy of phoneme recognition for Arabic language processing.
Recommended citation: S.M. Hussain, Muhammad Najeeb Jilani, Munim Ul Haq, Dr. Muhammad Shahid Shaikh. (2023). "Arabic Phoneme Classification through Ensemble Techniques." 5th International Conference on Advancements in Computational Sciences.
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Published in 20th International Bhurban Conference on Applied Sciences and Technology (IBCAST 23), Islamabad, Pakistan, 2023
This paper introduces an automated pipeline for video summarization to detect suspicious events in surveillance systems using OpenCV, ConvLSTM, and LRCN models.
Recommended citation: S.M. Hussain, Azeem Haider, Affan Habib, Dr. Muhammad Farhan. (2023). "Automated Video Summarization for Suspicious Event Detection in Surveillance Systems." 20th International Bhurban Conference on Applied Sciences and Technology (IBCAST 23).
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Published in 25th International Multitopic Conference (INMIC 23), Lahore, Pakistan, 2023
This paper explores the application of ensemble learning techniques for remote health monitoring, integrating multiple machine learning models for enhanced prediction accuracy.
Recommended citation: S.M. Hussain, Samiya Ali Zaidi, Afsah Hyder, Dr. M. Mobeen Movania. (2023). "Integrated Ensemble Learning for Remote Health Monitoring." 25th International Multitopic Conference (INMIC 23).
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Published in 50th IEEE Industrial Electronics Conference (IECON), 2024, 2024
This research provides a comparative analysis of various autonomous mobile robot path planning algorithms within the ROS2 framework, focusing on their effectiveness in dynamic maze environments.
Recommended citation: S.M. Hussain, Syed Muhammad Daniyal Murtaza Zaidi, Ahmed Atif, Laiba Ahmed, Dr. Qasim Pasta, Dr. Basit Memon. (2024). "Navigating the Maze Environment in ROS-2: An Experimental Comparison of Global and Local Planners for Dynamic Trajectory Planning in Mobile Robots." 50th IEEE Industrial Electronics Conference (IECON).
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Published in 21th International Bhurban Conference on Applied Sciences and Technology (IBCAST 24), Islamabad, Pakistan, 2024
This study explores the use of advanced object detection and segmentation models to improve the accuracy of camouflaged pest detection in agriculture, leveraging a large-scale benchmark dataset.
Recommended citation: S.M. Hussain, Samiya Ali Zaidi, Afsah Hyder, Syed Muhammad Ali Rizvi, Dr. Muhammad Farhan. (2024). "Enhanced Camouflaged Object Detection for Agricultural Pest Management: Insights from Unified Benchmark Dataset Analysis." 21th International Bhurban Conference on Applied Sciences and Technology (IBCAST 24).
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Published in 2024 6th International Conference on Advances in Computer Vision, Image, and Virtualization, Sanya, China, 2024
This paper discusses advancements in real-time camouflaged object detection using YOLOv8, addressing challenges in diverse environments such as military, wildlife conservation, and surveillance.
Recommended citation: S.M. Hussain, Afsah Hyder, Samiya Ali Zaidi, S.M. Ali Rizvi, Dr. Muhammad Farhan. (2024). "Advancing Real-Time Camouflaged Object Detection with YOLOv8." 2024 6th International Conference on Advances in Computer Vision, Image, and Virtualization.
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Undergraduate course, University 1, Department, 2014
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