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Md Robiul Alam Robel, Subrato Bharati, Prajoy Podder, and M. R. H. Mondal, IoT Driven Healthcare Monitoring System. In “Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications”, D. Gupta, A. Khamparia (Eds), John Wiley & Sons, Dec 2020., Dec 2020.
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Atik Mahabub, Al-Zadid Sultan Bin Habib, M. R. H. Mondal, Subrato Bharati and Prajoy Podder, Effectiveness of Ensemble Machine Learning Algorithms in Weather Forecasting of Bangladesh. World Congress on Information and Communication Technologies (WICT), Springer, On the world wide web, 16-18 December 2020., Dec 2020.
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Md. Noor Alam, Prajoy Podder, Subrato Bharati and M. R. H. Mondal, Effective Machine Learning Approaches for Credit Card Fraud Detection. World Congress on Information and Communication Technologies (WICT), Springer, On the world wide web, 16-18 December 2020., Dec 2020.
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Subrato Bharati, Prajoy Podder, M. R. H. Mondal and Niketa Gandhi, Optimized NASNet for Diagnosis of COVID-19 from Lung CT Images. International Conference on Intelligent Systems Design and Applications (ISDA), Springer, On the world wide web, 12-15 December 2020., Dec 2020.
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Md Robiul Alam Robel, Subrato Bharati, Prajoy Podder, and M. R. H. Mondal, Integrated Cloud Based Library Management in Intelligent IoT driven applications. Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications”, D. Gupta, A. Khamparia (Eds), John Wiley & Sons, Dec 2020.
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Subrato Bharati, Prajoy Podder, and M. R. H. Mondal, Pinto Kumar Paul, Applications and Challenges of Cloud Integrated IoMT. In “Cognitive Internet of Medical Things for Smart Healthcare”, Hassanien, A.E., Khamparia, A., Gupta, D., Shankar, K., Slowik, A. (Eds.), Springer, Oct. 2020., Oct 2020.
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Hassan, M.M., Sium, F.S., Islam, F., Choudhury, S.M., Plasmonic metamaterial based virus detection system: a review. arXiv:2012.00551, Jul 2020.
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S. Bharati, P. Podder, M. R. H. Mondal, Hybrid deep learning for detecting lung diseases from X-ray images. Informatics in Medicine Unlocked, Elsevier, Volume 20, 2020,100391, Jul 2020.
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S. Bharati, P. Podder, and M. R. H. Mondal, Diagnosis of Polycystic Ovary Syndrome Using Machine Learning Algorithms. IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Bangladesh, Jun 2020.
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Hasan, M. M. and Islam, M. S., Distributed denial of service attack detection in cloud computing using machine learning. BCS journal of Computer and Information Technology, vol.2, 2020, ISSN: 2664-4592 (print), 2664-4606 (online), Jun 2020.
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M. R. H. Mondal, S. Bharati, P. Podder, P. Podder, Data Analytics for Novel Coronavirus Disease. Informatics in Medicine Unlocked, Elsevier, vol. 20, 2020, 100374, Jun 2020.
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Zaman, S., Hassan, M. M., Hasanuzzaman, M., and Baten, M. Z., Coscinodiscus diatom inspired bilayered photonic structures with near-perfect absorptance accompanied by tunable absorption characteristics. Opt. Express 28, 25007-25021 , Jun 2020.
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S. Bharati, P. Podder, and M. R. H. Mondal, Visualization and Prediction of Energy Consumption in Smart Homes. International Journal of Hybrid Intelligent Systems, IOS Press, Netherlands, 1 Jan. 2020: 81 – 97, DOI: 10.3233/HIS-200283., Jun 2020.
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S. A. Munni, R. Islam and M. R. H. Mondal, Performance Evaluation of ASCO-OFDM Based LiFi. International Journal of Future Computer and Communication, Singapore, vol. 9, no. 2, pp. 33-39., Jun 2020.
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S. Bharati, P. Podder, M. R. H. Mondal, and M. R. A. Robel, Threats and Countermeasures of Cyber Security in Direct and Remote Vehicle Communication Systems. Journal of Information Assurance and Security, MIR Labs, USA, vol. 15 (2020), pp. 153-164., May 2020.
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S. Bharati, P. Podder, M. R. H. Mondal, Artificial Neural Network Based Breast Cancer Screening: A Comprehensive Review. International Journal of Computer Information Systems and Industrial Management Applications, MIR Labs, USA, vol. 12 (2020), pp. 125-137., May 2020.
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F. Khanam, I. Nowrin, and M. R. H. Mondal, Data Visualization and Analyzation of COVID-19. Journal of Scientific Research and Reports, vol. 26, no. 3, pp. 42-52, Apr 2020.
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Md Mahedi Hasan, and Hossen Mustafa, Multi-level Features Fusion for Robust Pose-based Gait Recognition using RNN. International Journal of Computer Science and Information Security, IJCSIS ISSN 1947-5500, Pittsburgh, PA, USA, Volume 18 No. 1, Feb 2020.
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Masud, M. R. A. and Mondal, M. R. H., Data-Driven Diagnosis of Spinal Abnormalities Using Feature Selection and Machine Learning Algorithms. PLOS One, 15(2): e0228422; https://doi.org/10.1371/journal.pone.0228422, Feb 2020.
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Sharmin, N., Karmaker, A., Lambert, W. L. L., Alam, M. S., and Shawkat, M. S. A., Minimizing the Energy Hole Problem in Wireless Sensor Networks: A Wedge Merging Approach.. MDPI Sensors 20, no. 1 (2020): 277, Jan 2020.
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