Md. Mahbubur Rahman

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Samrat Kumar Dey

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Publications

2024
[j43]
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Dipanjali Kundu, Md. Mahbubur Rahman, Anichur Rahman, Diganta Das, Umme Raihan Siddiqi, Md. Golam Rabiul Alam, Samrat Kumar Dey, Ghulam Muhammad, Zulfiqar Ali:
Federated Deep Learning for Monkeypox Disease Detection on GAN-Augmented Dataset. IEEE Access 12: 32819-32829 (2024)
2023
[j38]
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  - journals/ijics/TasneemAHRD23
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Zareen Tasneem, Maria Afnan, Md. Arman Hossain, Md. Mahbubur Rahman, Samrat Kumar Dey:
Performance evaluation of various deep convolutional neural network models through classification of malware. Int. J. Inf. Comput. Secur. 21(3/4): 414-435 (2023)
2022
[j29]
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  - journals/iswa/DeyUBRHU22
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Samrat Kumar Dey, Khandaker Mohammad Mohi Uddin, Hafiz Md. Hasan Babu, Md. Mahbubur Rahman, Arpita Howlader, K. M. Aslam Uddin:
Chi²-MI: A hybrid feature selection based machine learning approach in diagnosis of chronic kidney disease. Intell. Syst. Appl. 16: 200144 (2022)
[j27]
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Md. Mahbubur Rahman, Dipanjali Kundu, Sayma Alam Suha, Umme Raihan Siddiqi, Samrat Kumar Dey:
Hospital patients' length of stay prediction: A federated learning approach. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part A): 7874-7884 (2022)
2021
[j23]
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Mohammad Shahjahan Majib, Md. Mahbubur Rahman, T. M. Shahriar Sazzad, Nafiz Imtiaz Khan, Samrat Kumar Dey:
VGG-SCNet: A VGG Net-Based Deep Learning Framework for Brain Tumor Detection on MRI Images. IEEE Access 9: 116942-116952 (2021)
[i5]
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  - journals/corr/abs-2102-07127
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Md. Mahbubur Rahman, Akash Poddar, Md. Golam Rabiul Alam, Samrat Kumar Dey:
Affective State Recognition through EEG Signals Feature Level Fusion and Ensemble Classifier. CoRR abs/2102.07127 (2021)
2020
[j12]
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  - journals/symmetry/DeyR20
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Samrat Kumar Dey, Md. Mahbubur Rahman:
Effects of Machine Learning Approach in Flow-Based Anomaly Detection on Software-Defined Networking. Symmetry 12(1): 7 (2020)
2018
[c23]
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Samrat Kumar Dey, Md. Raihan Uddin, Md. Mahbubur Rahman:
Performance Analysis of SDN-Based Intrusion Detection Model with Feature Selection Approach. IJCCI 2018: 483-494

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