From image to language: A critical analysis of Visual Question Answering (VQA) approaches, challenges, and opportunities
Md. Farhan Ishmam, Md. Sakib Hossain Shovon, M. F. Mridha, Nilanjan Dey, Information Fusion, Volume 106, 2024, 102270, ISSN 1566-2535, (Link). (SCIE, SJR Q1, IF=18.6)
Detection of COVID-19, pneumonia, and tuberculosis from radiographs using AI-driven knowledge distillation
Md Mohsin Kabir, M.F. Mridha, Ashifur Rahman, Md. Abdul Hamid, Muhammad Mostafa Monowar, Heliyon, Volume 10, Issue 5, 2024, e26801, ISSN 2405-8440, (Link). (SCIE, SJR Q1, IF=4.0)
Explainable federated learning for privacy-preserving bangla sign language detection
Bidita Sarkar Diba, Jayonto Dutta Plabon, M.D. Mahmudur Rahman, Durjoy Mistry, Aloke Kumar Saha, M. F. Mridha, Engineering Applications of Artificial Intelligence, Volume 134, 2024, 108657, ISSN 0952-1976, (Link). (SCIE, SJR Q1, IF=8.0)
A machine learning approach for vocal fold segmentation and disorder classification based on ensemble method
S. M. Nuruzzaman Nobel, S. M. Masfequier Rahman Swapno, Md. Rajibul Islam, Mejdl Safran, Sultan Alfarhood & M. F. Mridha, Sci Rep 14, 14435 (2024). (Link). (SCIE, SJR Q1, IF=3.8)
BaitBuster-Bangla: A comprehensive dataset for clickbait detection in Bangla with multi-feature and multi-modal analysis
Abdullah Al Imran, Md Sakib Hossain Shovon, M.F. Mridha, Data in Brief, Volume 53, 2024, 110239, ISSN 2352-3409, (Link). (ESCI, SJR Q3, IF=1.2)
SegX-Net: A novel image segmentation approach for contrail detection using deep learning
Nobel SMN, Hossain MA, Kabir MM, Mridha MF, Alfarhood S, Safran M, PLoS ONE 19(3), e0298160, 2024, (Link). (SCIE, SJR Q1, IF=2.9)
Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review
Jamin Rahman Jim, Md Apon Riaz Talukder, Partha Malakar, Md Mohsin Kabir, Kamruddin Nur, M.F. Mridha, Natural Language Processing Journal, Volume 6, 2024, 100059, ISSN 2949-7191, (Link).
Generative Adversarial Networks (GANs) in Medical Imaging: Advancements, Applications, and Challenges
Atif Ahmed Showrov, Md Tarek Aziz, Hadiur Rahman Nabil, Jamin Rahman Jim, Md Mohsin Kabir, MF Mridha, Nobuyoshi Asai, Jungpil Shin, IEEE Access, vol. 12, pp. 35728-35753, 2024, (Link). (SCIE, SJR Q1, IF=3.9)
Arabic Speech Recognition: Advancement and Challenges
Ashifur Rahman, Md Mohsin Kabir, Muhammad Firoz Mridha, Mohammed Alatiyyah, Haifa F Alhasson, Shuaa S Alharbi, IEEE Access, vol. 12, pp. 39689-39716, 2024, (Link). (SCIE, SJR Q1, IF=3.9)
A Lightweight Visual Font Style Recognition with Quantized Convolutional Autoencoder
Moshiur Rahman Tonmoy, Abdul Fattah Rakib, Rashik Rahman, Md Akhtaruzzaman Adnan, Muhammad Firoz Mridha, Jie Huang, Jungpil Shin, IEEE Open Journal of the Computer Society, vol. 5, pp. 120-130, 2024, (Link). (SCIE, SJR Q1, IF=5.7)
Okkhor-Diffusion: Class Guided Generation of Bangla Isolated Handwritten Characters Using Denoising Diffusion Probabilistic Model (DDPM)
Md Mubtasim Fuad, A Faiyaz, Noor Mairukh Khan Arnob, MF Mridha, Aloke Kumar Saha, Zeyar Aung, IEEE Access, vol. 12, pp. 37521-37539, 2024, (Link). (SCIE, SJR Q1, IF=3.9)
Machine learning and deep learning for user authentication and authorization in cybersecurity: A state-of-the-art review
Zinniya Taffannum Pritee, Mehedi Hasan Anik, Saida Binta Alam, Jamin Rahman Jim, Md Mohsin Kabir, MF Mridha, Computers & Security, Volume 140, 2024, 103747, ISSN 0167-4048, (Link). (SCIE, SJR Q1, IF=5.6)
Comprehensive watermelon disease recognition dataset
Mohammad Imtiaz Nakib, MF Mridha, Data in Brief, Volume 53, 2024, 110182, ISSN 2352-3409, (Link). (ESCI, SJR Q3, IF=1.2)
Big Data—Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques
Md Abrar Jahin, Md Sakib Hossain Shovon, Jungpil Shin, Istiyaque Ahmed Ridoy, MF Mridha, Arch Computat Methods Eng, 2024, (Link). (SCIE, SJR Q1, IF=9.7)
Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
Mohammad Sayem Chowdhury, Tofayet Sultan, Nusrat Jahan, Muhammad Firoz Mridha, Mejdl Safran, Sultan Alfarhood, Dunren Che, Skin Res Technol, 2024, e13660, (Link). (SCIE, SJR Q2, IF=2.0)
Cauli-Det: enhancing cauliflower disease detection with modified YOLOv8
Uddin MS, Mazumder MKA, Prity AJ, Mridha MF, Alfarhood S, Safran M, Che D, Front. Plant Sci, 2024, 1373590, (Link). (SCIE, SJR Q1, IF=4.1)
Deep learning for medical image segmentation: State-of-the-art advancements and challenges
Md Eshmam Rayed, SM Sajibul Islam, Sadia Islam Niha, Jamin Rahman Jim, Md Mohsin Kabir, MF Mridha, Informatics in Medicine Unlocked, Volume 47, 2024, 101504, ISSN 2352-9148, (Link). (SJR Q2)
A multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM
Md Saef Ullah Miah, Md Mohsin Kabir, Talha Bin Sarwar, Mejdl Safran, Sultan Alfarhood, MF Mridha, Sci Rep 14, 9603, 2024, (Link). (SCIE, SJR Q1, IF=3.8)
A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions
Tauhidul Islam, Md Sadman Hafiz, Jamin Rahman Jim, Md Mohsin Kabir, MF Mridha, Healthcare Analytics, Volume 5, 2024, 100340, ISSN 2772-4425, (Link). (SJR Q2)
Explainable AI approaches in deep learning: Advancements, applications and challenges
Tanzib Hosain, Jamin Rahman Jim, MF Mridha, Md Mohsin Kabir, Computers and Electrical Engineering, Volume 117, 2024, 109246, ISSN 0045-7906, (Link). (SCIE, SJR Q1, IF=4.3)
Tea leaf age quality: Age-stratified tea leaf quality classification dataset
Md Mohsin Kabir, Md Sadman Hafiz, Shattik Bandyopadhyaa, Jamin Rahman Jim, M.F. Mridha, Data in Brief, Volume 54, 2024, 110462, ISSN 2352-3409, (Link). (ESCI, SJR Q3, IF=1.2)
A robust and light-weight transfer learning-based architecture for accurate detection of leaf diseases across multiple plants using less amount of images
Mazumder MKA, Mridha M F, Alfarhood S, Safran M, Abdullah-Al-Jubair M and Che D, Front. Plant Sci. 14:1321877, 2024, (Link). (SCIE, SJR Q1, IF=4.1)
Palm Leaf Health Management: A Hybrid Approach for Automated Disease Detection and Therapy Enhancement
SM Nuruzzaman Nobel, Md Asif Imran, Nahida Zaman Bina, Md Mohsin Kabir, Mejdl Safran, Sultan Alfarhoo, M. F. Mridha, IEEE Access, 2024, (Link). (SCIE, SJR Q1, IF=3.9)
GAC-Text-to-Image Synthesis with Generative Models using Attention Mechanisms with Contrastive Learning
Md. Ahsan Habib, Md. Anwar Hussen Wadud, Lubna Yeasmin Pinky, Md. Mehedi Hasan Talukder, M. M. Rahman, M. F. Mridha, Yuichi Okuyama, Jungpil Shin, IEEE Access, 2023, (Link). (SCIE, SJR Q1, IF=3.9)
Machine learning enabled IoT system for soil nutrients monitoring and crop recommendation
Md Reazul Islam, Khondokar Oliullah, Md Mohsin Kabir, Munzirul Alom, M.F. Mridha, Journal of Agriculture and Food Research, Volume 14, 2023, 100880, ISSN 2666-1543, (Link). (SCIE, SJR Q1, IF=3.8)
FakeStack: Hierarchical Tri-BERT-CNN-LSTM stacked model for effective fake news detection
Keya AJ, Shajeeb HH, Rahman MS, Mridha MF, PLoS ONE 18(12): e0294701, 2023, (Link). (SCIE, SJR Q1, IF=2.9)
QAmplifyNet: pushing the boundaries of supply chain backorder prediction using interpretable hybrid quantum-classical neural network
Jahin, Md Abrar, Shovon, Md Sakib Hossain, Islam, Md. Saiful, Shin, Jungpil, Mridha, M. F., Okuyama, Yuichi, Scientific Reports, 13, 18246, 2023, (Link). (SCIE, SJR Q1, IF=3.8)
Addressing Uncertainty in Imbalanced Histopathology Image Classification of HER2 Breast Cancer: An interpretable Ensemble Approach with Threshold Filtered Single Instance Evaluation (SIE)
M. S. H. Shovon, M. F. Mridha, K. M. Hasib, S. Alfarhood, M. Safran and D. Che, IEEE Access, 2023, (Link). (SCIE, SJR Q1, IF=3.9)
Toward Trustworthy Metaverse: Advancements and Challenges
J. R. Jim, M. T. Hosain, M. F. Mridha, M. M. Kabir and J. Shin, IEEE Access, vol. 11, pp. 118318-118347, 2023, (Link). (SCIE, SJR Q1, IF=3.9)
Recurrent ALBERT for recommendation: A hybrid architecture for accurate and lightweight restaurant recommendations
Keya, Ashfia Jannat, Arpona, Sayefa Arafah, Kabir, Muhammad Mohsin, and M.F Mridha, Cognitive Computing Systems, 1–15, 2023, (Link). (SJR Q3)
Advancing Wildlife Protection: Mask R-CNN for Rail Track Identification and Unwanted Object Detection
I. Mahmud, M. M. Kabir, J. Shin, C. Mistry, Y. Tomioka and M. F. Mridha, IEEE Access, doi: 10.1109/ACCESS.2023.3313253, 2023, (SCIE, Q1, IF=3.90)
GLD-Det: Guava Leaf Disease Detection in Real-Time Using Lightweight Deep Learning Approach Based on MobileNet
Mustak Un Nobi, Md., Md. Rifat, M. F. Mridha, Sultan Alfarhood, Mejdl Safran, and Dunren Che, Agronomy 13, no. 9: 2240, 2023, (Link). (SCIE, Q1, IF=3.30)
Privacy-Preserving On-Screen Activity Tracking and Classification in E-Learning Using Federated Learning
D. Mistry, M. F. Mridha, M. Safran, S. Alfarhood, A. K. Saha and D. Che, IEEE Access, doi: 10.1109/ACCESS.2023.3299331, 2023, (SCIE, Q1, IF=3.90)
G-BERT: An Efficient Method for Identifying Hate Speech in Bengali Texts on Social Media
A. J. Keya, M. M. Kabir, N. J. Shammey, M. F. Mridha, M. R. Islam and Y. Watanobe, IEEE Access, doi: 10.1109/ACCESS.2023.3299021, 2023, (SCIE, Q1, IF=3.90)
Strategies for Enhancing the Performance of News Article Classification in Bangla: Handling Imbalance and Interpretation
Khan Md Hasib, Nurul Akter Towhid, Kazi Omar Faruk, Jubayer Al Mahmud, M. F. Mridha, Engineering Applications of Artificial Intelligence, Volume 125, 2023, 106688, ISSN 0952-1976, (Link). (SCI, Q1, IF=8.0)
PlantDet: A Robust Multi-Model Ensemble Method Based on Deep Learning for Plant Disease Detection
M. S. H. Shovon, S. J. Mozumder, O. K. Pal, M. F. Mridha, N. Asai and J. Shin, IEEE Access, vol. 11, pp. 34846-34859, 2023, doi: 10.1109/ACCESS.2023.3264835, (SCIE, Q1, IF=3.90)
An Interpretable Skin Cancer Classification Using Optimized Convolutional Neural Network for a Smart Healthcare System
K. Mridha, M. M. Uddin, J. Shin, S. Khadka and M. F. Mridha, IEEE Access, vol. 11, pp. 41003-41018, 2023, doi: 10.1109/ACCESS.2023.3269694, (SCIE, Q1, IF=3.90)
Exploring a Novel Machine Learning Approach for Evaluating Parkinson's Disease, Duration, and Vitamin D Level
Md. Asraf Ali, Md. Kishor Morol, Muhammad F Mridha, Nafiz Fahad, Md Sadi Al Huda and Nasim Ahmed, International Journal of Advanced Computer Science and Applications(IJACSA), 14(12), 2023, (Link). (SJR Q3)
An Enhanced Ensemble Deep Neural Network Approach for Elderly Fall Detection System Based on Wearable Sensors
Mohammad, Zabir, Arif Reza Anwary, Muhammad Firoz Mridha, Md Sakib Hossain Shovon, and Michael Vassallo, Sensors 23, no. 10: 4774, 2023, (Link). (SCIE, Q1, IF=3.40)
Automated Stroke Prediction Using Machine Learning: An Explainable and Exploratory Study with a Web Application for Early Intervention
K. Mridha, S. Ghimire, J. Shin, A. Aran, M. M. Uddin and M. F. Mridha, IEEE Access, vol. 11, pp. 52288-52308, 2023, doi: 10.1109/ACCESS.2023.3278273, (SCIE, Q1, IF=3.90)
HQA-Data: A Historical Question Answer Generation Dataset from Previous Multi Perspective Conversation
Hosen, Sabbir, Jannatul Ferdous Eva, Ayman Hasib, Aloke Kumar Saha, M. F. Mridha, and Anwar Hussen Wadud, Data in Brief, 2023, 109245, (ESCI, Q3, IF=1.20)
Deep Learning-Based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time
Islam, Md. Reazul, Md. Mohsin Kabir, Muhammad Firoz Mridha, Sultan Alfarhood, Mejdl Safran, and Dunren Che, Sensors 23, no. 11: 5204, 2023, (Link). (SCIE, Q1, IF=3.40)
An Unsupervised Writer Identification based on Generating Clusterable Embeddings
M. F. Mridha, Zabir Mohammad, Muhammad Mohsin Kabir, Aklima Akter Lima, Sujoy Chandra Das, Md. Rashedul Islam, and Yutaka Watanobe, Computer Systems Science and Engineering 2023, 46(2), 2059-2073, (Link). (SCI, Q2, IF=3.10)
Computer Vision-Based IoT Architecture for Post COVID-19 Preventive Measures
Ahsanul Akib, Kamruddin Nur, Suman Saha, Jannatul Ferdous Srabonee, and M. F. Mridha, JAIT 2023 Vol.14(1): 7-19, doi: 10.12720/jait.14.1.7-19, (ESCI, Q3, IF=0.90)
convoHER2: A Deep Neural Network for Multi-Stage Classification of HER2 Breast Cancer
Mridha M. F., Morol M. K., Ali M. A., and SHOVON M. S. H., AJSE, vol. 22, no. 1, pp. 53-81, May 2023, (Link). (Scopus, Q4)
Non-Autoregressive End-to-End Neural Modeling for Automatic Pronunciation Error Detection
Wadud, Md. Anwar Hussen, Mohammed Alatiyyah, and M. F. Mridha, Applied Sciences, 2023, no. 1: 109, (Link). (SCIE, Q1, IF=2.50)
A Comprehensive Survey on the Progress, Process, and Challenges of Lung Cancer Detection and Classification
Mridha, M. F., Prodeep, Akibur Rahman, Hoque, A. S. M. Morshedul, Islam, Md. Rashedul, Lima, Aklima Akter, Kabir, Muhammad Mohsin, Hamid, Md. Abdul, Watanobe, Yutaka, Journal of Healthcare Engineering, Hindawi, (Link).
Self-Writer: Clusterable Embedding Based Self-Supervised Writer Recognition from Unlabeled Data
Mohammad, Zabir, Muhammad Mohsin Kabir, Muhammad Mostafa Monowar, Md Abdul Hamid, and Muhammad Firoz Mridha, Mathematics 10, 2022, no. 24: 4796, (Link). (SCIE, Q1, IF=2.30)
BMNet-5: A Novel Approach of Neural Network to Classify the Genre of Bengali Music Based on Audio Features
K. M. Hasib, A. Tanzim, J. Shin, K. O. Faruk, J. A. Mahmud and M. F. Mridha, IEEE Access, vol. 10, pp. 108545-108563, 2022, doi: 10.1109/ACCESS.2022.3213818, (SCIE, Q1, IF=3.90)
3D Gesture Recognition and Adaptation for Human–Robot Interaction
J. A. Mahmud, B. C. Das, J. Shin, K. M. Hasib, R. Sadik and M. F. Mridha, IEEE Access, vol. 10, pp. 116485-116513, 2022, doi: 10.1109/ACCESS.2022.3218679, (SCIE, Q1, IF=3.90)
Strategies for Enhancing the Multi-Stage Classification Performances of HER2 Breast Cancer from Hematoxylin and Eosin Images
Shovon, Md Sakib Hossain, Md Jahidul Islam, Mohammed Nawshar Ali Khan Nabil, Md Mohimen Molla, Akinul Islam Jony, and M. F. Mridha, Diagnostics 12, no. 11 (2022): 2825, (SCIE, Q2, IF=3.0)
AugFake-BERT: Handling Imbalance through Augmentation of Fake News Using BERT to Enhance the Performance of Fake News Classification
Keya, Ashfia Jannat, Md. Anwar Hussen Wadud, M. F. Mridha, Mohammed Alatiyyah, and Md. Abdul Hamid, Applied Sciences 12, 2022, no. 17: 8398, (Link). (SCIE, Q1, IF=2.50)
Deep-Bert: transfer learning for classifying multilingual offensive texts on social media
M. Anwar Hussen Wadud, M. F. Mridha, J. Shin, K. Nur and A. Kumar Saha, Computer Systems Science and Engineering 2023, 44(2), 1775-1791, (Link). (SCI, Q2, IF=3.1)
How can we manage Offensive Text in social media - A Text Classification Approach using LSTM-BOOST
Md. Anwar Hussen Wadud, Muhammad Mohsin Kabir, M.F. Mridha, M. Ameer Ali, Md. Abdul Hamid, Muhammad Mostafa Monowar, International Journal of Information Management Data Insights, Volume 2, Issue 2, 2022, 100095, ISSN 2667-0968, (Link). (Scopus, Q1)
Text to Speech Synthesis: A Systematic Review, Deep Learning Based Architecture and Future Research Direction
Fahima Khanam, Farha Akhter Munmun, Nadia Afrin Ritu, Aloke Kumar Saha, and M. F. Mridha, JAIT 2022, (ESCI, Q3, IF=0.90)
A Comprehensive Survey on the Detection, Classification, and Challenges of Neurological Disorders
Lima, Aklima A., M. F. Mridha, Sujoy C. Das, Muhammad M. Kabir, Md. R. Islam, and Yutaka Watanobe, Biology 11, 2022, no. 3: 469, (Link). (SCI, Q1, IF=3.6)
Self-Supervised Clustering for Leaf Disease Identification
Monowar, Muhammad M., Md. A. Hamid, Faris A. Kateb, Abu Q. Ohi, and M. F. Mridha, Agriculture 12, no. 6: 814, (Link). (SCI, Q1, IF=3.30)
AutoRet: A Self-Supervised Spatial Recurrent Network for Content-Based Image Retrieval
Monowar, Muhammad M., Md. A. Hamid, Abu Q. Ohi, Madini O. Alassafi, and M. F. Mridha, Sensors 22, 2022, no. 6: 2188, (Link). (SCIE, Q1, IF=3.90)
Word Embedding Methods for Word Representation in Deep Learning for Natural Language Processing
M. A. H. Wadud, M. F. Mridha, and M. M. Rahman, eijs, vol. 63, no. 3, pp. 1349–1361, Mar. 2022, (Link). (Scopus, Q3)
Content-Based Image Retrieval Using AutoEmbedder
Md. Mohsin Kabir, Adit Ishraq, Kamruddin Nur, and M. F. Mridha, JAIT 2022 Vol.13(3): 240-248, doi: 10.12720/jait.13.3.240-248, (ESCI, Q3, IF=0.90)
A Study on the Challenges and Opportunities of Speech Recognition for Bengali Language
M. F. Mridha, Abu Quwsar Ohi, Md. Abdul Hamid, Muhammad Mostafa Monowar, Artificial Intelligence Review (2021). https://doi.org/10.1007/s10462-021-10083-3. (SCI, Q1, IF=10.7)
L-Boost: Identifying Offensive Texts from Social Media Post in Bengali
M. F. Mridha, M. A. H. Wadud, M. A. Hamid, M. M. Monowar, M. Abdullah-Al-Wadud, A. Alamri, IEEE Access, 2021. doi: 10.1109/ACCESS.2021.3134154. (SCIE, Q1, IF=3.90)
A Comprehensive Survey on Deep Learning Based Breast Cancer Diagnosis
M. F. Mridha, Md. Abdul Hamid, Muhammad Mostafa Monowar, Ashfia Jannat Keya, Abu Quwsar Ohi, Md Rashedul Islam, Jong-Myon Kim, Cancers, 2021; 13(23):6116. https://doi.org/10.3390/cancers13236116. (SCIE, Q1, IF=4.50)
Automatic Text Summarization: Fundamental Theories, Algorithms, and Challenges
M. F. Mridha, Aklima Akter Lima, Kamruddin Nur, Sujoy Chandra Das, Mahmud Hasan, Md. Mohsin Kabir, IEEE Access, 2021, vol. 9, pp. 156043-156070. doi: 10.1109/ACCESS.2021.3129786. (SCIE, Q1, IF=3.90)
A Comprehensive Review on Fake News Detection with Deep Learning
M. F. Mridha, Ashfia Jannat Keya, Md. Abdul Hamid, Muhammad Mostafa Monowar, Md. Saifur Rahman, IEEE Access, 2021, vol. 9, pp. 156151-156170. doi: 10.1109/ACCESS.2021.3129329. (SCIE, Q1, IF=3.90)
A Thresholded Gabor-CNN Based Writer Identification System for Indic Scripts
M. F. Mridha, Abu Quwsar Ohi, J. Shin, Muhammad M. Kabir, Md. Abdul Hamid, Muhammad Mostafa Monowar, IEEE Access, 2021, vol. 9, pp. 132329-132341. doi: 10.1109/ACCESS.2021.3114799. (SCIE, Q1, IF=3.90)
U-vectors: Generating clusterable speaker embedding from unlabeled data
M. F. Mridha, Abu Quwsar Ohi, Muhammad Mostafa Monowar, Md. Abdul Hamid, Md Rashedul Islam *, Yutaka Watanobe, Applied Sciences, 2021; 11(21):10079. https://doi.org/10.3390/app112110079. (SCIE, Q1, IF=2.50)
Brain-Computer Interface: Advancement and Challenges
M. F. Mridha, Sujoy C. Das, Muhammad M. Kabir, Aklima A. Lima, Md. R. Islam, Yutaka Watanobe, Sensors, 2021, no. 17: 5746. https://doi.org/10.3390/s21175746. (SCIE, Q1, IF=3.50)
FruitDet: Attentive Feature Aggregation for Real-time Fruit Detection in Orchards
Faris A Kateb, Muhammad Mostafa Monowar *, Md. Abdul Hamid, M. F. Mridha, Abu Quwsar Ohi, Agronomy, 2021; 11(12):2440. https://doi.org/10.3390/agronomy11122440. (SCIE, Q1, IF=3.30)
A Survey of Speaker Recognition: Fundamental Theories, Recognition Methods and Opportunities
M. M. Kabir, M. F. Mridha, J. Shin, I. Jahan, A. Q. Ohi, IEEE Access, 2021, vol. 9, pp. 79236-79263. doi: 10.1109/ACCESS.2021.3084299. (SCIE, Q1, IF=3.90)
Deep Speaker Recognition: Process, Progress, and Challenges
A. Q. Ohi, M. F. Mridha, M. A. Hamid, M. M. Monowar, IEEE Access, vol. 9, pp. 89619-89643, 2021. (SCIE, Q1, IF=3.90)
FabricNet: A Fiber Recognition Architecture Using Ensemble ConvNets
A. Q. Ohi, M. F. Mridha, M. A. Hamid, M. M. Monowar, F. A. Kateb, IEEE Access, vol. 9, pp. 13224-13236, 2021. (SCIE, Q1, IF=3.90)
BanglaWriting: A multi-purpose offline Bangla handwriting dataset
M. F. Mridha, Abu Quwsar Ohi, M. Ameer Ali, Mazedul Islam Emon, Muhammad Mohsin Kabir, Data in Brief, Volume 34, 2021, 106633. (ESCI, Q3, IF=1.20)
COVID-19: Risk Analysis in South Asia with Respect to Europe and North America
Wadud M. A. H., Mridha D. F., Nur D. K., AJSE, vol. 20, No. 3, pp. 97 - 106, Sep. 2021. (Scopus, Q4)
Optimal control of epidemic spread using reinforcement learning
Abu Quwsar Ohi, M. F. Mridha, Muhammad Mostafa Monowar, Md. Abdul Hamid, Scientific Reports – Nature, 2020. (SCIE, Q1, IF=3.8)
AutoEmbedder: A semi-supervised DNN embedding system for clustering
Abu Quwsar Ohi, M. F. Mridha, Farisa Benta Safir, Md. Abdul Hamid, Muhammad Mostafa Monowar, Knowledge-Based Systems, Volume 204, 2020, 106190. (SCI, Q1, IF=8.80)
Bengali Stop Word and Phrase Detection Mechanism
Rakib Ul Haque, M. F. Mridha, Md. Abdul Hamid, M. Abdullah-Al-Wadud, Md.Saiful Islam, Arabian Journal for Science and Engineering, Vol. 45, 3355-3368(2020), Springer Nature. (SCIE, Q2, IF=2.60)
A Comprehensive Study on Intrusion and Extrusion Phenomena
Md. Abdul Hamid, Marjia Akter, M. F. Mridha, Muhammad Mostafa Monowar, Madini O. Alassafi, International Journal of Advanced Computer Science and Applications (IJACSA), 12(8), 2021. (Scopus, Q3)
An Improved User Anonymous Secure Authentication Protocol for Healthcare System Using Wireless Medical Sensor Network
M. F. Mridha, Md. Al Imran, Md. Anwar Hussen Wadud, Md. Abdul Hamid, International Journal of Computing and Digital Systems ISSN (2210-142X) Int. J. Com. Dig. Sys. #, No.# (2021). (Scopus, Q3)
A Proficient Autonomous Bangla Semantic Parser for Natural Language Processing
M. F. Mridha, Molla Rashied Hussein, Md. Musfiqur Rahaman, Jugal Krishna Das, ARPN Journal of Engineering and Applied Sciences 10, no. 15 (2015): 6398-6403. (Scopus, Q3)
Design and Implementation of an Efficient Enconverter for Bangla Language
M. F. Mridha, Aloke Kumar Saha, Md. Akhtaruzzaman Adnan, Molla Rashied Hussain, Jugal Krishna Das, ARPN Journal of Engineering and Applied Sciences 10, no. 15 (2015): 6543-6548. (Scopus, Q3)
Solving Semantic Problem of Phrases in NLP Using Universal Networking Language (UNL)
Muhammad F. Mridha, Aloke Kumar Saha, Mahadi Hasan, Jugal Krishna Das, International Journal of Advanced Computer Science and Applications (IJACSA), Special Issue on Natural Language Processing 2014, 2014. (Scopus, Q3)
Attribute Analysis for Bangla Words for Universal Networking Language (UNL)
Aloke Kumar Saha, Muhammad F. Mridha, Shammi Akhtar, Jugal Krishna Das, International Journal of Advanced Computer Science and Applications (IJACSA), 4(1), 2013. (Scopus, Q3)
IHCNet: Advancing Multi-Stage HER2 Status Detection in Breast Cancer Using Interpretable Robust Transfer Learning Model from IHC Images
M. S. H. Shovon, J. Shin and M. F. Mridha, 2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), Sakheer, Bahrain, 2023, pp. 326-332, DOI: 10.1109/3ICT60104.2023.10391584
Forecasting Flood in Bangladesh Using Different Time Series Models: A Comparative Analysis
Zafrin Sultana, Mahfuza Sharmili Jui, Bakhtiar Atiq Faisal, Md Sakib Hossain Shovon, Jungpil Shin, M F Mridha, 2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), Sakheer, Bahrain, 2023, pp. 107-114, DOI: 10.1109/3ICT60104.2023.10391764
An Open-Source Voice Command-Based Human-Computer Interaction System Using Speech Recognition Platforms
Fuad, A.M., Ahmed, S.J., Anannya, N.J., Mridha, M.F., Nur, K., Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning. BIM 2023. Lecture Notes in Networks and Systems, vol 867. Springer, Singapore, 2024, DOI: 10.1007/978-981-99-8937-9_36
Brain Tumor Detection and Classification Using Hybrid VGG Network
A. Sakib, N. J. Khan, L. Shahrier, K. Plabon, J. Al Mahmud and M. F. Mridha, 2023 26th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2023, pp. 1-6, DOI: 10.1109/ICCIT60459.2023.10441065
Prediction of Buying Intention: Factors Affecting Online Shopping
Md Shamiul Islam, Julkar Naeem, AL Shahriar Emon, Abdul Baten, Md.Abdullah Al Mamun, G. M. Waliullah, Md. Saifur Rahman, M. F. Mridha, 2023 International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM), Gazipur, Bangladesh, 2023, pp. 1-6, DOI: 10.1109/NCIM59001.2023.10212766
Late and Early Blight Diseases Identification of Potatoes with a Lightweight Hybrid Transfer Learning Model
Bin Siddique, Abu Zobayer, Das, Shoibal, Tabassum, Poonam, Tasir, All Moon, Roy, Shovon, Rahman, Md. Saifur, Mridha, M. F., 2023 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, 2023, pp. 0105-0111, DOI: 10.1109/AIIoT58121.2023.10174429
Time Series Analysis and Forecasting of Air Quality Index of Dhaka City of Bangladesh
Sakib, Sheikh Rahmatulla, Sara, Kamarun Nahar, Hossain Rasel, Md. Tahmid, Islam Asif, Md. Masudul, Hasan Nahid, Md. Aynul, Rahman, Md. Saifur, Mridha, M. F., Islam, Ashraful, 2023 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, 2023, pp. 0063-0069, DOI: 10.1109/AIIoT58121.2023.10174539
Cassava Leaf Disease Classification Using Supervised Contrastive Learning
Ishraq, A., Arafah, S., Mim, S.A., Shammey, N.J., Mridha, F., Rahman, M.S., Machine Intelligence and Emerging Technologies. MIET 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 490. Springer, Cham, 2023, DOI: 10.1007/978-3-031-34619-4_6
Classification of Rice Varieties using ResNet-18 Networks
Nusrat Jahan Shammey, Adit Ishraq, Sayefa Arafah, Sadiya Akter Mim, M. Firoz Mridha, International Conference on Machine Intelligence and Emerging Technologies 2022 (MIET 2022), Bangladesh, 2023
Eliminating racial bias at the time of detection Melanoma using Convolution Neural Network (CNN)
Md. Abdullah Al Noman Majumder, Eimon Hossain Taief, Md. Nurul Amin Bhuiyan, M.F. Mridha and Aloke Kumar Saha, SCRS Conference Proceedings on Intelligent Systems, SCRS, India, 2022, pp. 271-285, DOI: 10.52458/978-93-91842-08-6-27
Deep Learning-Based Prediction of Lung Cancer Using CT Images: A Survey
M. F. Mridha, S. Mahmud, M. A. A. Mondol, M. S. Uddin, N. A. Saif, 2021 4th International Conference on Computer Applications & Information Security (ICCAIS), 2021, pp. 1-6, DOI: 10.1109/ICCAIS54853.2021.9463550
Deep-CNN for Plant Disease Diagnosis Using Low Resolution Leaf Images
Rahman, A., Al Foisal, M.H., Rahman, M.H., Miah, M.R., Mridha, M.F., 2022, In: Chen, J.IZ., Wang, H., Du, KL., Suma, V. (eds) Machine Learning and Autonomous Systems. Smart Innovation, Systems and Technologies, vol 269. Springer, Singapore. DOI: 10.1007/978-981-16-7996-4_33
Bahdanau Attention Based Bengali Image Caption Generation
M. D. S. Alam, M. D. S. Rahman, M. D. I. Hosen, K. A. Mubin, S. Hossen and M. F. Mridha, 2022 International Conference on Decision Aid Sciences and Applications (DASA), 2022, pp. 1073-1077, DOI: 10.1109/DASA54658.2022.9765268
A Comprehensive Study on Attention-Based NER
Islam T., Zinat S.M., Sukhi S., Mridha M. F., 2022, In: Khanna A., Gupta D., Bhattacharyya S., Hassanien A.E., Anand S., Jaiswal A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1388. Springer, Singapore. DOI: 10.1007/978-981-16-2597-8_57
Land Rights Documentation and Verification System Using Blockchain Technology
Billah S.N., Hossain F., Mridha M. F., 2022, In: Khanna A., Gupta D., Bhattacharyya S., Hassanien A.E., Anand S., Jaiswal A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1394. Springer, Singapore. DOI: 10.1007/978-981-16-3071-2_31
AlziHelp: An Alzheimer Disease Detection and Assistive System Inside Smart Home Focusing 5G Using IoT and Machine Learning Approaches
Ibrahim Mamun M., Rahman A., Mridha M. F., Hamid M.A., 2021, In: Singh Pundir A.K., Yadav A., Das S. (eds) Recent Trends in Communication and Intelligent Systems. Algorithms for Intelligent Systems. Springer, Singapore. DOI: 10.1007/978-981-16-0167-5_12
A Long Short-Term Memory (LSTM) Model for Business Sentiment Analysis Based on Recurrent Neural Network
Jahidul Islam Razin M., Abdul Karim M., Mridha M. F., Rafiuddin Rifat S.M., Alam T., 2021, In: Karuppusamy P., Perikos I., Shi F., Nguyen T.N. (eds) Sustainable Communication Networks and Application. Lecture Notes on Data Engineering and Communications Technologies, vol 55. Springer, Singapore. DOI: 10.1007/978-981-15-8677-4_1
Number Plate Recognition System for Vehicles Using Machine Learning Approach
Amzad Hossain M., Suvo I.A., Ray A., Ariful Islam Malik M., Mridha M. F., 2021, In: Gupta D., Khanna A., Bhattacharyya S., Hassanien A.E., Anand S., Jaiswal A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1166. Springer, Singapore. DOI: 10.1007/978-981-15-5148-2_69
Evaluate and Predict Concentration of Particulate Matter (PM2.5) Using Machine Learning Approach
Sani S.H., Rony A., Karim F.I., Mridha M. F., Abdul Hamid M., 2021, In: Gupta D., Khanna A., Bhattacharyya S., Hassanien A.E., Anand S., Jaiswal A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1166. Springer, Singapore. DOI: 10.1007/978-981-15-5148-2_67
Internal Abnormalities’ Detection of Human Body Analyzing Skin Images Using Convolutional Neural Network
Mehera P., Mridha M. F., Begum N., Mohaiminul Islam M., 2020, In: Uddin M.S., Bansal J.C. (eds) Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. DOI: 10.1007
Two-Dimensional Hybrid Authentication for ATM Transactions
Mridha M. F., Rafiq J.I., Zaman W.U., 2020, In: Kolhe M., Tiwari S., Trivedi M., Mishra K. (eds) Advances in Data and Information Sciences. Lecture Notes in Networks and Systems, vol 94. Springer, Singapore. DOI: 10.1007/978-981-15-0694-9_19
Character and Mesh Optimization of Modern 3D Video Games
Hasan R., Chakraborti S., Zonieed Hossain M., Ahamed T., Abdul Hamid M., Mridha M. F., 2020, In: Kolhe M., Tiwari S., Trivedi M., Mishra K. (eds) Advances in Data and Information Sciences. Lecture Notes in Networks and Systems, vol 94. Springer, Singapore. DOI: 10.1007/978-981-15-0694-9_60
Construing Attacks of Internet of Things (IoT) and A Prehensile Intrusion Detection System for Anomaly Detection Using Deep Learning Approach
Akter M., Dip G.D., Mira M.S., Abdul Hamid M., Mridha M. F., 2020, In: Khanna A., Gupta D., Bhattacharyya S., Snasel V., Platos J., Hassanien A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1059. Springer, Singapore. DOI: 10.1007/978-981-15-0324-5_37
Issues of Internet of Things (IoT) and an Intrusion Detection System for IoT Using Machine Learning Paradigm
Mridha M. F., Abdul Hamid M., Asaduzzaman M., 2020, In: Uddin M., Bansal J. (eds) Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. DOI: 10.1007/978-981-13-7564-4_34
Information Extraction from Natural Language Using Universal Networking Language
Saha A.K., Mridha M. F., Rafiq J.I., Das J.K., 2019, In: Bhatia S., Tiwari S., Mishra K., Trivedi M. (eds) Advances in Computer Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 924. Springer, Singapore. DOI: 10.1007/978-981-13-6861-5_24
Assessment of Building Damage on Post-Hurricane Satellite Imagery using improved CNN
A. Ishraq, A. A. Lima, M. M. Kabir, M. S. Rahman and M. F. Mridha, 2022 International Conference on Decision Aid Sciences and Applications (DASA), 2022, pp. 665-669, DOI: 10.1109/DASA54658.2022.9765025
Heart Disease Prediction and Analysis Using Ensemble Architecture
R. Jani, M. Shariful Islam Shanto, M. Mohsin Kabir, M. Saifur Rahman and M. F. Mridha, 2022 International Conference on Decision Aid Sciences and Applications (DASA), 2022, pp. 1386-1390, DOI: 10.1109/DASA54658.2022.9765237
Ensure Safe Internet for Children and Teenagers Using Deep Learning
F. Arefin Nazira, S. Gosh, K. Nur, S. Poul Singh and M. F. Mridha, 2022 International Conference on Decision Aid Sciences and Applications (DASA), 2022, pp. 395-400, DOI: 10.1109/DASA54658.2022.9765035
Plant Disease Identification from Leaf Images using Deep CNN’s EfficientNet
A. R. Prodeep, A. S. M. Morshedul Hoque, M. M. Kabir, M. Saifur Rahman and M. F. Mridha, 2022 International Conference on Decision Aid Sciences and Applications (DASA), 2022, pp. 523-527, DOI: 10.1109/DASA54658.2022.9765063
An Offline Writer-independent Signature Verification System using AutoEmbedder
Z. Mohammad, I. Jahan, M. M. Kabir, M. A. Ali and M. F. Mridha, 2021 24th International Conference on Computer and Information Technology (ICCIT), 2021, pp. 1-6, DOI: 10.1109/ICCIT54785.2021.9689780
Depression Detection Using Convolutional Neural Networks
Farzana Arefin Nazira, Md. Mohsin Kabir, Shorna Rani Das, M. F. Mridha, Accepted (
Face Recognition Based Driver Detection System
F. A. Nazira, M. I. Uddin, M. H. Raju, S. Hossain, M. N. Rahman and M. F. Mridha, 2021 International Conference on Data Analytics for Business and Industry (ICDABI), 2021, pp. 572-577, DOI: 10.1109/ICDABI53623.2021.9655889
Comparison of Different CNN Model used as Encoders for Image Captioning
M. Sahrial Alam, M. S. Rahman, M. I. Hosen, K. A. Mubin, S. Hossen and M. F. Mridha, 2021 International Conference on Data Analytics for Business and Industry (ICDABI), 2021, pp. 523-526, DOI: 10.1109/ICDABI53623.2021.9655846
Eliminating racial bias at the time of detection Melanoma using Convolution Neural Network (CNN)
Md. Abdullah Al Noman Majumder, Eimon Hossain Taief, Md. Nurul Amin Bhuiyan, Aloke Kumar Saha and M. F. Mridha, 5th International Joint Conference on Advances in Computational Intelligence (IJCACI 2021), DOI: (Accepted)
Suicidal Risk Prediction from Tweets Using Ensemble Architecture
Md. Mohsin Kabir, M. F. Mridha, Md. Abdul Hamid, Mohammad Mostafa Monowar and Ashif Ahmed Khan, Third International Conference on Computer and Information Sciences 2021 (ICCIS 2021), DOI: (Accepted)
CNN-NSVM Architecture for Skin Lesion Classification Using Non-Dermoscopic Digital Image
M. M. Kabir, P. Mehera, A. K. Saha, M. F. Mridha, M. A. Hamid and M. M. Monowar, 2021 Joint 10th International Conference on Informatics, Electronics & Vision (ICIEV) and 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), 2021, pp. 1-7, DOI: 10.1109/ICIEVicIVPR52578.2021.9564195
Future Micro Hydro Power: Generation of Hydroelectricity and IoT based Monitoring System
A. S. M. A. Akib, S. Mahmud and M. F. Mridha, 2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), 2021, pp. 298-302, DOI: 10.1109/3ICT53449.2021.9581590
Road Sign Detection Using Variants of YOLO and R-CNN: An Analysis from the Perspective of Bangladesh
Lima A.A., Kabir M.M., Das S.C., Hasan M.N., Mridha M. F., 2022 International Conference on Big Data, IoT, and Machine Learning, DOI: 10.1007/978-981-16-6636-0_42
Forecasting Closing Price of Stock Market Using LSTM Network: An Analysis from the Perspective of Dhaka Stock Exchange
Mohsin Kabir M., Lima A.A., Mridha M. F., Abdul Hamid M., Monowar M.M., 2022 International Conference on Big Data, IoT, and Machine Learning, DOI: 10.1007/978-981-16-6636-0_23
A Survey on Bengali Image Captioning: Architectures, Challenges, and Directions
S. Sukhi, A. Q. Ohi, M. S. Rahman and M. F. Mridha, 2021 International Conference on Science & Contemporary Technologies (ICSCT), 2021, pp. 1-5, DOI: 10.1109/ICSCT53883.2021.9642554
Facial Expression Recognition Using CNN-LSTM Approach
Md. Mohsin Kabir, Tanvir Ahmed Anik, Md. Shahnewaz Abid, M. F. Mridha, The International Conference on Science and Contemporary Technologies (ICSCT) 2021, Dhaka, Bangladesh, DOI: (Accepted)
