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Rashik Rahman

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Articles

An Explainable AI-Based Modified YOLOv8 Model for Efficient Fire Detection

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By Waliul Hasan, Shahria Shanto, Jannatun Nayeema, Rashik Rahman
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Enhancing Autism Spectrum Disorder Classification with Lightweight Quantized CNNs and Federated Learning on ABIDE-1 Dataset

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By Simran Gupta, Sidratul Montaha, Rashik Rahman, Sadia Sultana Chowa
| MDPI
1. Introduction Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by a range of social, communicative, and behavioral challenges that vary in severity among individuals [1].
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An Explainable AI-based Modified YOLOv8 Model for Efficient Fire Detection

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By Waliul Hasan, Shahria Shanto, Jannatun Nayeema, Rashik Rahman
| preprints.org
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 4 September 2024 / Approved: 4 September 2024 / Online: 4 September 2024 (12:56:31 CEST) Hasan, M. W.; Shanto, S.; Nayeema, J.; Rahman, R.; Helaly, T.; Rahman, Z.; Mehedi, S. T. An Explainable AI-based Modified YOLOv8 Model for Efficient Fire Detection. Preprints 2024, 2024090372. https://doi.org/10.20944/preprints202409.0372.v1 Hasan, M. W.; Shanto, S.; Nayeema, J.; Rahman, R.; Helaly, T.; Rahman, Z.; Mehedi, S. T.
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