Book Chapters (12)
- 1. Tahsen Islam Sajon, Barsha Roy, Md. Farukuzzaman Faruk, Azmain Yakin Srizon, Shakil Mahmud Shuvo, Md. Al Mamun, Abu Sayeed and S. M. Mahedy Hasan; "Attention Mechanism-enhanced Deep CNN Architecture for Precise Multi-Class Leukemia Classification", Springer, 2023
- 2. Shakil Mahmud Shuvo, Md. Farukuzzaman Faruk, Azmain Yakin Srizon, Tahsen Islam Sajon, S. M. Mahedy Hasan, Anirban Barai, A. F. M. Minhazur Rahman and Md. Al Mamun; "Multi-Class Brain Tumor Classification with DenseNet Based Deep Learning Features and Ensemble of Machine Learning Approaches", Springer, 2023
- 3. Md Abu Ismail Siddique and Azmain Yakin Srizon; "An Effective Dimensionality Reduction Workflow for the Enhancement of Automated Date Fruit Recognition Utilizing Several Machine Learning Classifiers", Springer, 2023
- 4. Kawshik Banerjee, Azmain Yakin Srizon, Md. Farukuzzaman Faruk, S. M. Mahedy Hasan and Md. Rakib Hossain; "Quantifying Shifts in Word Contexts from Social Media Data", Taylor & Francis, 2023
- 5. Md. Barhanul Karim, Md. Safaiat Hossain, Rahul Reza Roky and Azmain Yakin Srizon; "BHSGR-Net: A Light-Weight Convolutional Neural Architecture for Recognition of Bengali Hand Sign Gestures", Taylor & Francis, 2023
- 6. Soumit Das, Ashraf-Ul-Alam, Sudipta Progga Islam and Azmain Yakin Srizon; "BanglaOngko: A New Dataset for Accurate Bengali Mathematical Expression Detection Utilizing YOLOv8 Architecture", Taylor & Francis, 2023
- 7. Anwar Hossain Efat, S. M. Mahedy Hasan, Nahrin Jannat, Mahjabin Rahman Oishe, Md Fakrul Islam Taraque, Mostarina Mitu, Md. Farukuzzaman Faruk and Azmain Yakin Srizon; "Preventing Skin Cancer through Improved Skin Lesion Recognition: An Attention-Triplet and Multi-Layer Ensemble Based CNN Approach", Springer, 2023
- 8. Mayeesha Farjana, Barisha Chowdhury, Farhana Rahman, Zuairia Raisa Bintay Makin, Sumaiya Rahman and Azmain Yakin Srizon; "Gender Abusive Language Detection in Bengali Using Machine Learning Algorithms", Springer, 2023
- 9. Maria Chowdhury, Azmain Yakin Srizon, Tahsen Islam Sajon, Md. Farukuzzaman Faruk, S. M. Mahedy Hasan, Ananya Sarker, Md. Al Mamun, Md. Rakibul Haque and Md. Rakib Hossain; "Large Ensemble of Transfer-Learned Models for Plant Disease Recognition from Diverse Leaf Images", Taylor & Francis, 2023
- 10. Abu Sayeed, Azmain Yakin Srizon, Md. Mehedi Hasan, Jungpil Shin, Md. Al Mehedi Hasan and M. Rasel Mahmud; "A Hybrid Campus Security System Combined of Face, Number-plate, and Voice Recognition", Springer, 2023
- 11. Mohiuddin Ahmed, Abu Sayeed, Azmain Yakin Srizon, Md Rakibul Haque and Md. Mehedi Hasan; "A Deep Learning Approach in Detailed Fingerprint Identification", Taylor & Francis, 2021
- 12. Md Rakibul Haque, Azmain Yakin Srizon and Mohiuddin Ahmed; "Probing Skin Lesions and Performing Classification of Skin Cancer Using EfficientNet while Resolving Class Imbalance Using SMOTE", Taylor & Francis, 2021
Journal Articles (7)
- 1. Abu Sayeed, Nasif Osman Khansur, Azmain Yakin Srizon, Md. Farukuzzaman Faruk, Salem A. Alyami, AKM Azad and Mohammad Ali Moni; "An Effective Screening of COVID-19 Pneumonia by Employing Chest X-ray Segmentation and Attention-based Ensembled Classification", IET Image Processing, 2024
- 2. Md. Mehedi Hasan, Md. Ali Hossain, Azmain Yakin Srizon and Abu Sayeed; "TaLU: A Hybrid Activation Function Combining Tanh and Rectified Linear Unit to Enhance Neural Networks", arXiv, 2023
- 3. Koki Hirooka, Md. Al Mehedi Hasan, Jungpil Shin and Azmain Yakin Srizon; "Ensembled Transfer Learning Based Multi-channel Attention Networks for Human Activity Recognition in Still Images", IEEE Access, 2022
- 4. Jungpil Shin, Akitaka Matsuoka, Md. Al Mehedi Hasan and Azmain Yakin Srizon; "American Sign Language Alphabet Recognition by Extracting Feature from Hand Pose Estimation", Sensors, MDPI, 2021
- 5. Abu Sayeed, Jungpil Shin, Md. Al Mehedi Hasan, Azmain Yakin Srizon and Md. Mehedi Hasan; "BengaliNet: A Low-Cost Novel Convolutional Neural Network for Bengali Handwritten Characters Recognition", Applied Sciences, MDPI, 2021
- 6. Abdul Kader, Samiha Sharif, Pranta Bhowmick, Fahmida Haque Mim and Azmain Yakin Srizon; "Effective workflow for high-performance recognition of fruits using machine learning approaches", International Research Journal of Engineering and Technology, 2020
- 7. Ananya Sarker, Md. Shahid Uz Zaman and Azmain Yakin Srizon; "Twitter data classification by applying and comparing multiple machine learning techniques", International Journal of Innovative Research in Computer Science & Technology, 2019
Conference Papers (61)
- 1. Sirajam Samira, Md. Farukuzzaman Faruk, Md Nazmul Islam, S. M. Mahedy Hasan, Prof. Dr. Md. Al Mamun, Azmain Yakin Srizon and Md. Rakib Hossain; "Enhancing Gastrointestinal Diagnosis: CBAM-Integrated CNNs for High-Precision Multi-Class Anatomical Landmark Identification", IEEE, 2024
- 2. Md. Musab Us Saber Shakin, Md. Minhazul Islam, Md. Rakib Hossain, S. M. Mahedy Hasan, Farzana Akter, Shykul Islam Siam, Md. Farukuzzaman Faruk and Azmain Yakin Srizon; "Synergizing GAN and Customized Neural Network for Enhanced Brain Stroke Prediction: A Web-based Implementation", IEEE, 2024
- 3. Md. Minhazul Islam, Md. Rakib Hossain, Md. Musab Us Saber Shakin, S. M. Mahedy Hasan, Azmain Yakin Srizon, Md. Farukuzzaman Faruk and Farzana Akter; "Enhanced Knee Osteoarthritis Classification using a Modified EfficientNetB5 Architecture with Self-Attention Mechanism", IEEE, 2024
- 4. Barsha Roy, Md. Farukuzzaman Faruk, Md Nazmul Islam, Azmain Yakin Srizon, S. M. Mahedy Hasan, Md. Al Mamun, Md. Rakib Hossain and Md Faruk Hossain; "A Cutting-Edge Ensemble of Vision Transformer and ResNet101v2 Based Transfer Learning for the Precise Classification of Leukemia Sub-types from Peripheral Blood Smear Images", IEEE, 2024
- 5. Ishmam Khan, Md. Farukuzzaman Faruk, Md. Al Mamun, S. M. Mahedy Hasan, Azmain Yakin Srizon, Md Nazmul Islam, Md. Rakib Hossain and Md Faruk Hossain; "Leveraging the Robust Capability of Modified Multi-Layer Gated Recurrent Units for Fake News Detection", IEEE, 2024
- 6. Ashraf Ul Alam, Sudipta Progga Islam, S. M. Mahedy Hasan, Azmain Yakin Srizon, Md. Farukuzzaman Faruk, Md. Al Mamun and Md. Rakib Hossain; "Optic Disc and Cup Segmentation via Enhanced U-Net with Residual and Attention Mechanisms", IEEE, 2024
- 7. Tushar Das, S. M. Mahedy Hasan, Anwar Hossain Efat, Md. Farukuzzaman Faruk, Azmain Yakin Srizon, Md. Al Mamun and Md. Rakib Hossain; "Towards Superior EEG-Based Emotion Recognition: Integrating CNN Outputs with Machine Learning Classifiers for Enhanced Performance", IEEE, 2024
- 8. Bristi Rani Roy, Md. Al Mamun and Azmain Yakin Srizon; "Evaluating the Effectiveness of 3-D DenseNet and Spatial Spectral Residual Networks in Hyperspectral Image Classification", IEEE, 2023
- 9. Soumik Datta, S. M. Mahedy Hasan, Md. Farukuzzaman Faruk, Azmain Yakin Srizon, Md. Rakib Hossain, Anwar Hossain Efat and Mostarina Mitu; "Improved Diabetes Prediction with Reduced Feature Sets: Evaluating Feature Selection Techniques in Machine Learning", IEEE, 2023
- 10. Nahrin Jannat, S. M. Mahedy Hasan, Azmain Yakin Srizon, Mahjabin Oishe, Anwar Hossain Efat, Md Fakrul Islam Taraque, Mostarina Mitu and Md. Farukuzzaman Faruk; "Efficient Detection of Crop Leaf Diseases: A Lightweight Convolutional Neural Network Approach for Enhanced Agricultural Productivity", IEEE, 2023
- 11. S. M. Mahedy Hasan, Md. Al Mamun and Azmain Yakin Srizon; "Enhancing Multi-Class Skin Lesion Classification with Modified EfficientNets: Advancing Early Detection of Skin Cancer", IEEE, 2023
- 12. S. M. Mahedy Hasan, Md. Al Mamun, Md. Farukuzzaman Faruk and Azmain Yakin Srizon; "Ensemble of Deep Convolutional Neural Networks for Multi-Class Skin Lesion Recognition Using Soft Attention", IEEE, 2023
- 13. Sheikh Fazle Rabbi, Md. Al Mamun, Md. Farukuzzaman Faruk, S. M. Mahedy Hasan and Azmain Yakin Srizon; "A Multi-branch and Attention Based CNN Architecture for the Classification of Retinal Diseases from OCT Images", IEEE, 2023
- 14. Anirban Barai, Md. Farukuzzaman Faruk, Shakil Mahmud Shuvo, Azmain Yakin Srizon, S. M. Mahedy Hasan and Abu Sayeed; "A Late Fusion Deep CNN Model for the Classification of Brain Tumors from Multi-Parametric MRI Images", IEEE, 2023
- 15. Azmain Yakin Srizon, Ananya Sarker, Md. Al Mamun, Md. Farukuzzaman Faruk and S. M. Mahedy Hasan; "Enhancing Waste Categorization Using Ensemble of Transfer Learning and Light-Weight Convolutional Neural Network", IEEE, 2023
- 16. Mahjabin Oishe, S. M. Mahedy Hasan, Azmain Yakin Srizon, Anwar Hossain Efat, Nahrin Jannat, Mostarina Mitu and Md. Farukuzzaman Faruk; "Enhancing Glaucoma Prediction Performance in OCT Images using Machine Learning Based on HOG Features", IEEE, 2023
- 17. Rezwanul Haque, S. M. Mahedy Hasan, Azmain Yakin Srizon, Anwar Hossain Efat, Md. Farukuzzaman Faruk, Mahjabin Oishe, Nahrin Jannat and Mostarina Mitu; "Evaluating the Efficacy of Feature Selection Methods in Cardiovascular Disease Prediction with Machine Learning", IEEE, 2023
- 18. Md. Muhaiminul Islam, Farzana Akter, Md. Rakib Hossain, Dr Md Faruk Hossain, S. M. Mahedy Hasan and Azmain Yakin Srizon; "An Advanced IoT and GPS-GSM Based Real-Time Automated Data Monitoring Robot with Image Processing and Live Streaming for Human Life and Land Mine Detection Systems", IEEE, 2023
- 19. Farjana Islam, Md. Farukuzzaman Faruk, S. M. Mahedy Hasan, Farzana Akter, Azmain Yakin Srizon, Md. Rakib Hossain, Md. Al Mamun, Md Nazmul Islam and Md Faruk Hossain; "An Investigation of Hyperparameters Optimization and Feature Reduction Techniques: Predicting Airline Passenger Satisfaction Using Machine Learning Models", IEEE, 2023
- 20. Protik Chakroborty, Sadia Zaman Mishu, Md. Al Mamun, Md. Ali Hossain and Azmain Yakin Srizon; "Predicting Brain Tumor Region from MRI FLAIR Images using Ensemble Method", IEEE, 2023
- 21. Md Nazmul Islam, Md. Al Mamun, Md. Farukuzzaman Faruk, Azmain Yakin Srizon, S. M. Mahedy Hasan and Barsha Roy; "Spatial Attention-guided Deep Learning for Accurate Kidney Disease Classification in CT Scans", IEEE, 2023
- 22. Md. Sabbir Hossain, Md. Farukuzzaman Faruk, Azmain Yakin Srizon, S. M. Mahedy Hasan, Md. Shariful Chowdhury, Md. Rakib Hossain, Md Nazmul Islam and Md Faruk Hossain; "A Customized 3D CNN Integrated with Convolutional Block Attention Module for Precise Diagnosis of COVID-19 and Pneumonia from CT Scan Images", IEEE, 2023
- 23. Tushar Ibtekar, Md. Rakibul Haque and Azmain Yakin Srizon; "Comparative Study Between ResNet And EfficientNet Family For Classification of Leukemia", IEEE, 2023
- 24. Rifatul Islam, Md. Rakib Hossain, S. M. Mahedy Hasan, Azmain Yakin Srizon, Farzana Akter, Md. Minhazul Islam and Md. Musab Us Saber Shakin; "Enhanced Brain Tumor Classification using Squeeze and Excitation Attention-Guided Modified EfficientNetB2 Architecture", IEEE, 2023
- 25. Md. Minhazul Islam, S. M. Mahedy Hasan, Md. Rakib Hossain, Azmain Yakin Srizon, Farzana Akter, Md. Farukuzzaman Faruk and Sheikh Shraboni Akter; "Channel Attention-Guided Lightweight CNN Meets Extreme Learning Machine: Multi-Class Crop Leaf Disease Classification with Explainable AI", IEEE, 2023
- 26. Anindya Basak, Farzana Akter, Md. Rakib Hossain, Azmain Yakin Srizon, S. M. Mahedy Hasan, Md. Farukuzzaman Faruk and Shadman Sakib; "A Novel CNN-BiLSTM Fusion Model for Robust Age Estimation from Facial Images", IEEE, 2023
- 27. Shadman Sakib, S. M. Mahedy Hasan, Md. Rakib Hossain, Farzana Akter, Azmain Yakin Srizon, Md. Farukuzzaman Faruk and Anindya Basak; "Predictive Analytics in Agriculture: Unraveling the Determinants of Crop Yield with Machine Learning", IEEE, 2023
- 28. Hedayatul Islam, Md. Rakib Hossain, Farzana Akter, Azmain Yakin Srizon, S. M. Mahedy Hasan, Md. Farukuzzaman Faruk and Md. Minhazul Islam; "Enhanced Brain Tumor Segmentation: A Study on the Efficacy of Multi-Model Ensembling Utilizing Diverse Backbones", IEEE, 2023
- 29. Md Hossain, Md. Rakib Hossain, S. M. Mahedy Hasan, Farzana Akter, Azmain Yakin Srizon, Md. Farukuzzaman Faruk and Hedayatul Islam; "Leveraging AI-Driven Strategies to Mitigate Employee Turnover in Commercial Industries", IEEE, 2023
- 30. Md. Musab Us Saber Shakin, Farzana Akter, S. M. Mahedy Hasan, Md. Rakib Hossain, Azmain Yakin Srizon, Rifatul Islam and Sheikh Shraboni Akter; "Squeeze and Excitation Attention Meets Modified EfficientNetB0 Architecture: Multi-Class Brain Tumor Classification Using Explainable Artifical Intelligence", IEEE, 2023
- 31. Shahriar Emon, Md. Rakib Hossain, S. M. Mahedy Hasan, Azmain Yakin Srizon, Farzana Akter, Md. Farukuzzaman Faruk and Md Hossain; "Prediction of Medical Insurance Costs: A SHAP-Enhanced Predictive Analysis for Transparency and Interpretability", IEEE, 2023
- 32. Sakib Sarker, Md. Al Mehedi Hasan and Azmain Yakin Srizon; "Identification and Validation of the Most Prevalent Biomarkers in Hepatocellular Carcinoma", IEEE, 2023
- 33. Md Minhazul Islam, Tanbeer Jubaer, Azmain Yakin Srizon, Md. Rakib Hossain, S. M. Mahedy Hasan, Md. Farukuzzaman Faruk and A. F. M. Minhazur Rahman; "Navigating Bengali Linguistics: Insights from Machine and Deep Learning Perspectives for Categorization of Sentences", IEEE, 2023
- 34. Md. Muhaiminul Islam, Farzana Akter, Md. Rakib Hossain, Md Faruk Hossain, S. M. Mahedy Hasan and Azmain Yakin Srizon; "An Advanced IoT and GPS-GSM Based Real-Time Automated Data Monitoring Robot with Image Processing and Live Streaming for Human Life and Land Mine Detection Systems", IEEE, 2023
- 35. Tahsen Islam Sajon, Maria Chowdhury, Azmain Yakin Srizon, Md. Farukuzzaman Faruk, S. M. Mahedy Hasan, Abu Sayeed and A. F. M. Minhazur Rahman; "Recognition of Leukemia Sub-types Using Transfer Learning and Extraction of Distinguishable Features Using an Effective Machine Learning Approach", IEEE, 2023
- 36. Md. Mehedi Hasan, Md. Ali Hossain, Azmain Yakin Srizon and Abu Sayeed; "JuktoMala: A Handwritten Bengali Consonant Conjuncts Dataset for Optical Character Recognition Using BiT-based M-ResNet-101x3 Architecture", IEEE, 2023
- 37. Azmain Yakin Srizon, Md. Ali Hossain, Abu Sayeed and Md. Mehedi Hasan; "An Effective Approach for Handwritten Punctuation Recognition by Using a Low-cost Convolutional Neural Network", IEEE, 2022
- 38. Azmain Yakin Srizon and Md. Ali Hossain; "BornomalaNet: An Effective Approach for Handwritten Bengali Characters Recognition by Using a Low-cost Convolutional Neural Network", IEEE, 2022
- 39. Md Shamiul Islam Shopnil, S. M. Mahedy Hasan, Azmain Yakin Srizon and Md. Farukuzzaman Faruk; "Post-Pandemic Sentiment Analysis Based on Twitter Data Using Deep Learning", IEEE, 2022
- 40. Md. Abdur Rakib Mollah, Azmain Yakin Srizon and Mohiuddin Ahmed; "An Ensemble Approach for Identification of Distracted Driver by Implementing Transfer Learned Deep CNN Architectures", IEEE, 2022
- 41. Azmain Yakin Srizon, S. M. Mahedy Hasan, Md. Farukuzzaman Faruk, Abu Sayeed and Md. Ali Hossain; "Human Activity Recognition Utilizing Ensemble of Transfer-Learned Attention Networks and a Low-Cost Convolutional Neural Architecture", IEEE, 2022
- 42. Md. Mehedi Hasan, Md. Ali Hossain, Azmain Yakin Srizon and Abu Sayeed; "ComNet: A Deep Convolutional Neural Network Capable of Classifying Compound Bengali Handwritten Characters High Number of Classes in a Data-Scarce State", IEEE, 2022
- 43. Md. Mehedi Hasan, Md. Ali Hossain, Azmain Yakin Srizon, Abu Sayeed, Mohiuddin Ahmed and Md Rakibul Haque; "Improving Performance of a Pre-trained ResNet-50 Based VGGFace Recognition System by Utilizing Retraining as a Heuristic Step", IEEE, 2021
- 44. Azmain Yakin Srizon, Md. Ali Hossain and Md Rakibul Haque; "Low Resolution Hand Gestures Recognition of Bengali Sign Alphabet by Using a Convolutional Neural Network", IEEE, 2021
- 45. Md Rakibul Haque, Azmain Yakin Srizon and Md. Al Mamun; "Exploring Spectral and Spatial Features Using a Hybrid Approach Combining Stacked AutoEncoder and a Novel Convolutional Neural Network for Hyperspectral Image Classification", IEEE, 2021
- 46. Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed and Md. Al Mehedi Hasan; "High Performance Classification of Caltech-101 with a Transfer Learned Deep Convolutional Neural Network", IEEE, 2021
- 47. Md. Al Mehedi Hasan, Jungpil Shin, Utsha Das and Azmain Yakin Srizon; "Identifying Prognostic Features for Predicting Heart Failure Using Machine Learning Algorithm", ACM, 2021
- 48. Md. Mehedi Hasan, Azmain Yakin Srizon and Md. Al Mehedi Hasan; "Classification of Bengali Sign Language Characters by Applying a Novel Deep Convolutional Neural Network", IEEE, 2020
- 49. Ananya Sarkar, Rabiul Islam and Azmain Yakin Srizon; "A Comprehensive Pre-processing Approach for High-Performance Classification of Twitter Data with several Machine Learning Algorithms", IEEE, 2020
- 50. Utsha Das, Azmain Yakin Srizon, Md. Al Mehedi Hasan, Julia Rahman and Md. Khaled Ben Islam; "Effective Data Dimensionality Reduction Workflow for High-Dimensional Gene Expression Datasets", IEEE, 2020
- 51. Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed and Md. Al Mehedi Hasan; "Classification of Sign Language Characters by Applying a Deep Convolutional Neural Network", IEEE, 2020
- 52. Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed and Md. Al Mehedi Hasan; "Bengali Handwritten Isolated Compound Characters Recognition by Applying Transfer Learned Deep Convolutional Neural Network", IEEE, 2020
- 53. Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed and Md. Al Mehedi Hasan; "Classification of American Sign Language by Applying a Transfer Learned Deep Convolutional Neural Network", IEEE, 2020
- 54. Utsha Das, Azmain Yakin Srizon and Md. Al Mehedi Hasan; "Accurate Recognition of Coronary Artery Disease by Applying Machine Learning Classifiers", IEEE, 2020
- 55. Utsha Das, Azmain Yakin Srizon, Md. Ansarul Islam, Dhiman Sikder Tonmoy and Md. Al Mehedi Hasan; "Prognostic Biomarkers Identification for Diabetes Classification by Utilizing Machine Learning Classifiers", IEEE, 2020
- 56. Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed and Md. Al Mehedi Hasan; "Handwritten Numerals Recognition by Employing a Transfer Learned Deep Convolution Neural Network for Diverse Literature", IEEE, 2020
- 57. Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed and Md. Al Mehedi Hasan; "High-Performance Object Recognition by Employing a Transfer Learned Deep Convolutional Neural Network", IEEE, 2020
- 58. Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed and Md. Al Mehedi Hasan; "Accurate Recognition of Leukemia Sub-types by Utilizing a Transfer Learned Deep Convolutional Neural Network", IEEE, 2020
- 59. Abu Sayeed, Md. Mehedi Hasan and Azmain Yakin Srizon; "Bengali Sign Language Characters Recognition by Utilizing Transfer Learned Deep Convolutional Neural Network", IEEE, 2020
- 60. Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed and Md. Al Mehedi Hasan; "Bengali Handwritten Compound Characters Recognition by Utilizing Transfer Learning", IEEE, 2020
- 61. Azmain Yakin Srizon and Md. Al Mehedi Hasan; "Prognostic Biomarker Identification for Pancreatic Cancer by Analyzing Multiple mRNA Microarray and microRNA Expression Datasets", IEEE, 2019