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Md. Asadur Rahman
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2020 – today
- 2024
- [j14]Shrestha Kumar, Md. Asadur Rahman, Pritom Kumar Saha, Mohd Abdur Rashid, Hiroki Higa:
Attempted movement classification of spinal cord injured patients using hybrid CNN-LSTM networks. Int. J. Imaging Syst. Technol. 34(3) (2024) - [j13]Md. Mustaqim Abrar, Zobair Hasan, Abdul Wazed Rifat, Md. Asadur Rahman:
Detection and Blurring Bloodstained Violence Scene by Convolutional Neural Network-Based Model for Media Platforms. SN Comput. Sci. 5(7): 836 (2024) - 2023
- [j12]M. N. Nashid Rahman, Dewan Imran Ahmed, Pratik Das, Md. Asadur Rahman:
Exploring the classification performance of different EEG bands for anesthesia monitoring. Iran J. Comput. Sci. 6(2): 161-168 (2023) - 2021
- [j11]Abu Jar Md. Minhuz Uddin Ahmed, Md. Anwar Uddin, Md. Asadur Rahman:
Developing an Algorithm for Sequential Sorting of Discrete and Connected Characters Using Image Processing of Multi-Line License Plates. Array 10: 100063 (2021) - [j10]Md. Asadur Rahman, Anika Anjum, Md. Mahmudul Haque, Farzana Khanam, Mohammad Shorif Uddin, Md. Nurunnabi Mollah:
Emotion recognition from EEG-based relative power spectral topography using convolutional neural network. Array 11: 100072 (2021) - [j9]S. M. Saklain Galib, Sheikh Md. Rabiul Islam, Md. Asadur Rahman:
A multiple linear regression model approach for two-class fNIR data classification. Iran J. Comput. Sci. 4(1): 45-58 (2021) - [j8]Chandan Saha, Md. Foisal Hossain, Md. Asadur Rahman:
NSCT-based robust image watermarking in DC components of APDCBT using singular value decomposition. Iran J. Comput. Sci. 4(3): 133-145 (2021) - [j7]Pritom Kumar Saha, Md. Asadur Rahman, Mohammad Khurshed Alam, Asma Ferdowsi, Md. Nurunnabi Mollah:
Common Spatial Pattern in Frequency Domain for Feature Extraction and Classification of Multichannel EEG Signals. SN Comput. Sci. 2(3): 149 (2021) - 2020
- [j6]Md. Asadur Rahman, Mohd Abdur Rashid, Mohiuddin Ahmad, Anna Kuwana, Haruo Kobayashi:
Activation Modeling and Classification of Voluntary and Imagery Movements From the Prefrontal fNIRS Signals. IEEE Access 8: 218215-218233 (2020) - [j5]Md. Asadur Rahman, Farzana Khanam, Mohiuddin Ahmad, Mohammad Shorif Uddin:
Multiclass EEG signal classification utilizing Rényi min-entropy-based feature selection from wavelet packet transformation. Brain Informatics 7(1): 7 (2020) - [j4]Md. Asadur Rahman, Abu Bakar Siddik, Tarun Kanti Ghosh, Farzana Khanam, Mohiuddin Ahmad:
A Narrative Review on Clinical Applications of fNIRS. J. Digit. Imaging 33(5): 1167-1184 (2020)
2010 – 2019
- 2019
- [j3]Md. Asadur Rahman, Mohammad Shorif Uddin, Mohiuddin Ahmad:
Modeling and classification of voluntary and imagery movements for brain-computer interface from fNIR and EEG signals through convolutional neural network. Health Inf. Sci. Syst. 7(1): 22 (2019) - [j2]Md. Asadur Rahman, Md. Mahmudul Haque, Anika Anjum, Abu Bakar Siddik, Md. Mohidul Hasan Sifat, Mohibur Rahman Chowdhury, Farzana Khanam, Mohiuddin Ahmad:
A statistical designing approach to MATLAB based functions for the ECG signal preprocessing. Iran J. Comput. Sci. 2(3): 167-178 (2019) - 2018
- [c2]Md. Asadur Rahman, Md. Mahmudul Haque, Anika Anjum, Md. Nurunnabi Mollah, Mohiuddin Ahmad:
Classification of Motor Imagery Events from Prefrontal Hemodynamics for BCI Application. IJCCI 2018: 11-23 - [c1]Md. Al Noman, A. B. M. Aowlad Hossain, Md. Asadur Rahman:
Initial Point Prediction Based Parametric Active Contour Model for Left Ventricle Segmentation of CMRI Images. IJCCI 2018: 533-546 - [i2]Md. Asadur Rahman, Mohammad Arif Hossain, Shakil Ahmed, Mostafa Zaman Chowdhury:
A New Guard-Band Call Admission Control Policy Based on Acceptance Factor for Wireless Cellular Networks. CoRR abs/1810.02552 (2018) - 2015
- [j1]Md. Asadur Rahman, Mostafa Zaman Chowdhury, Yeong Min Jang:
Uniform Fractional Band CAC Scheme for QoS Provisioning in Wireless Networks. J. Inf. Process. Syst. 11(4): 583-600 (2015) - [i1]Md. Asadur Rahman:
QoS Provisioning Using Optimal Call Admission Control for Wireless Cellular Networks. CoRR abs/1502.06329 (2015)
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last updated on 2024-12-05 20:47 CET by the dblp team
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