Хайлтын үр дүнгүүд - Mufti Mahmud

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  1. 1
    Processing and Analysis of Multichannel Extracellular Neuronal Signals: State-of-the-Art and Challenges

    Processing and Analysis of Multichannel Extracellular Neuronal Signals: State-of-the-Art and Challenges -н Mufti Mahmud, Stefano Vassanelli

    Хэвлэсэн 2016
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  2. 2
    Trends and Challenges in Neuroengineering: Toward “Intelligent” Neuroprostheses through Brain-“Brain Inspired Systems” Communication

    Trends and Challenges in Neuroengineering: Toward “Intelligent” Neuroprostheses through Brain-“Brain Inspired Systems” Communication -н Stefano Vassanelli, Mufti Mahmud

    Хэвлэсэн 2016
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    Artigo
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  3. 3
    Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer’s disease detection

    Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer’s disease detection -н Vimbi Viswan, Noushath Shaffi, Mufti Mahmud

    Хэвлэсэн 2024
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  4. 4
    Antimicrobial-resistant and ESBL-producing <i>Escherichia coli</i> in different ecological niches in Bangladesh

    Antimicrobial-resistant and ESBL-producing <i>Escherichia coli</i> in different ecological niches in Bangladesh -н Mahmudur Rashid, Mufti Mahmud Rakib, Badrul Hasan

    Хэвлэсэн 2015
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    Artigo
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  5. 5
    A Fuzzy Ensemble-Based Deep learning Model for EEG-Based Emotion Recognition

    A Fuzzy Ensemble-Based Deep learning Model for EEG-Based Emotion Recognition -н Trishita Dhara, Pawan Kumar Singh, Mufti Mahmud

    Хэвлэсэн 2023
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    Artigo
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  6. 6
    Antimicrobial-resistant and ESBL-producing Escherichia coli in different ecological niches in Bangladesh

    Antimicrobial-resistant and ESBL-producing Escherichia coli in different ecological niches in Bangladesh -н Rashid, Mahmudur, Rakib, Mufti Mahmud, Hasan, Badrul

    Хэвлэсэн 2015
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  7. 7
    QSpike tools: a generic framework for parallel batch preprocessing of extracellular neuronal signals recorded by substrate microelectrode arrays

    QSpike tools: a generic framework for parallel batch preprocessing of extracellular neuronal signals recorded by substrate microelectrode arrays -н Mufti Mahmud, Rocco Pulizzi, Eleni Vasilaki, Michèle Giugliano

    Хэвлэсэн 2014
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    Artigo
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  8. 8
    Social Group Optimization–Assisted Kapur’s Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images

    Social Group Optimization–Assisted Kapur’s Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images -н Nilanjan Dey, V. Rajinikanth, Simon Fong, M. Shamim Kaiser, Mufti Mahmud

    Хэвлэсэн 2020
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    Artigo
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  9. 9
    Deep Learning in Mining Biological Data

    Deep Learning in Mining Biological Data -н Mufti Mahmud, M. Shamim Kaiser, T.M. McGinnity, Amir Hussain

    Хэвлэсэн 2021
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  10. 10
    COVID-19 Infection Detection from Chest X-Ray Images Using Hybrid Social Group Optimization and Support Vector Classifier

    COVID-19 Infection Detection from Chest X-Ray Images Using Hybrid Social Group Optimization and Support Vector Classifier -н Asu Kumar Singh, Anupam Kumar, Mufti Mahmud, M. Shamim Kaiser, Akshat Kishore

    Хэвлэсэн 2021
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    Artigo
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  11. 11
    Pattern Descriptors Orientation and MAP Firefly Algorithm Based Brain Pathology Classification Using Hybridized Machine Learning Algorithm

    Pattern Descriptors Orientation and MAP Firefly Algorithm Based Brain Pathology Classification Using Hybridized Machine Learning Algorithm -н B. Deepa, M. Murugappan, M. G. Sumithra, Mufti Mahmud, Mabrook Al‐Rakhami

    Хэвлэсэн 2021
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    Artigo
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  12. 12
    Deep transfer learning for COVID-19 detection and infection localization with superpixel based segmentation

    Deep transfer learning for COVID-19 detection and infection localization with superpixel based segmentation -н N. B. Prakash, M. Murugappan, G. R. Hemalakshmi, M. Jayalakshmi, Mufti Mahmud

    Хэвлэсэн 2021
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  13. 13
    Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays

    Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays -н Ashis Kumar Paul, Arpan Basu, Mufti Mahmud, M. Shamim Kaiser, Ram Sarkar

    Хэвлэсэн 2022
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    Artigo
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  14. 14
    A Neuro-Fuzzy Control System Based on Feature Extraction of Surface Electromyogram Signal for Solar-Powered Wheelchair

    A Neuro-Fuzzy Control System Based on Feature Extraction of Surface Electromyogram Signal for Solar-Powered Wheelchair -н M. Shamim Kaiser, Zamshed I. Chowdhury, Shamim Al Mamun, Amir Hussain, Mufti Mahmud

    Хэвлэсэн 2016
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    Artigo
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  15. 15
    One-shot Cluster-Based Approach for the Detection of COVID–19 from Chest X–ray Images

    One-shot Cluster-Based Approach for the Detection of COVID–19 from Chest X–ray Images -н V. N. Manjunath Aradhya, Mufti Mahmud, D. S. Guru, Basant Agarwal, M. Shamim Kaiser

    Хэвлэсэн 2021
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    Artigo
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  16. 16
    Classification of Mental Stress from Wearable Physiological Sensors Using Image-Encoding-Based Deep Neural Network

    Classification of Mental Stress from Wearable Physiological Sensors Using Image-Encoding-Based Deep Neural Network -н Sayandeep Ghosh, SeongKi Kim, Muhammad Fazal Ijaz, Pawan Kumar Singh, Mufti Mahmud

    Хэвлэсэн 2022
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    Artigo
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  17. 17
    Detecting COVID-19 From Lung Computed Tomography Images: A Swarm Optimized Artificial Neural Network Approach

    Detecting COVID-19 From Lung Computed Tomography Images: A Swarm Optimized Artificial Neural Network Approach -н S. Punitha, Thompson Stephan, Ramani Kannan, Mufti Mahmud, M. Shamim Kaiser, Samir Brahim Belhaouari

    Хэвлэсэн 2023
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  18. 18
    A novel few-shot classification framework for diabetic retinopathy detection and grading

    A novel few-shot classification framework for diabetic retinopathy detection and grading -н M. Murugappan, N. B. Prakash, R. Jeya, A. Mohanarathinam, G. R. Hemalakshmi, Mufti Mahmud

    Хэвлэсэн 2022
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  19. 19
    Four-way classification of Alzheimer’s disease using deep Siamese convolutional neural network with triplet-loss function

    Four-way classification of Alzheimer’s disease using deep Siamese convolutional neural network with triplet-loss function -н Faizal Hajamohideen, Noushath Shaffi, Mufti Mahmud, S. Karthikeyan, Arwa Al Sariri, Vimbi Viswan, Abdelhamid Abdesselam

    Хэвлэсэн 2023
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  20. 20
    Early Detection of Alzheimer’s Disease From Cortical and Hippocampal Local Field Potentials Using an Ensembled Machine Learning Model

    Early Detection of Alzheimer’s Disease From Cortical and Hippocampal Local Field Potentials Using an Ensembled Machine Learning Model -н Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi, Alessandro Leparulo, Roberto Fontana, Stefano Vassanelli, Cristina Fasolato

    Хэвлэсэн 2023
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    Artigo
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