Azmain Yakin Srizon

发表

Classification of Bengali Sign Language Characters by Applying a Novel Deep Convolutional Neural Network

Md. Al Mehedi Hasan, Md. Mehedi Hasan, Azmain Yakin Srizon, 2020, 2020 IEEE Region 10 Symposium (TENSYMP).

A Comprehensive Pre-processing Approach for High-Performance Classification of Twitter Data with several Machine Learning Algorithms

Md. Rabiul Islam, Ananya Sarker, Azmain Yakin Srizon, 2020, 2020 IEEE Region 10 Symposium (TENSYMP).

Effective Data Dimensionality Reduction Workflow for High-Dimensional Gene Expression Datasets

Julia Rahman, Md. Al Mehedi Hasan, Utsha Das, 2020, 2020 IEEE Region 10 Symposium (TENSYMP).

American Sign Language Alphabet Recognition by Extracting Feature from Hand Pose Estimation

Jungpil Shin, Md. Al Mehedi Hasan, Azmain Yakin Srizon, 2021, Sensors.

BengaliNet: A Low-Cost Novel Convolutional Neural Network for Bengali Handwritten Characters Recognition

Jungpil Shin, Md. Al Mehedi Hasan, Azmain Yakin Srizon, 2021, Applied Sciences.

Ensembled Transfer Learning Based Multi-channel Attention Networks for Human Activity Recognition in Still Images

Azmain Yakin Srizon, Jungpil Shin, Md. Al Mehedi Hasan, 2022, IEEE Access.

Classification of Sign Language Characters by Applying a Deep Convolutional Neural Network

Md. Al Mehedi Hasan, Azmain Yakin Srizon, M. Hasan, 2020, 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT).

Accurate Recognition of Coronary Artery Disease by Applying Machine Learning Classifiers

Md. Al Mehedi Hasan, Azmain Yakin Srizon, Utsha Das, 2020, 2020 23rd International Conference on Computer and Information Technology (ICCIT).

An Effective Approach for Bengali Handwritten Punctuation Recognition by Using a Low-cost Convolutional Neural Network

Azmain Yakin Srizon, M. Hasan, Abu Sayeed, 2022, 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI).

ComNet: A Deep Convolutional Neural Network Capable of Classifying Compound Bengali Handwritten Characters High Number of Classes in a Data-Scarce State

Md. Ali Hossain, Azmain Yakin Srizon, M. Hasan, 2022, 2022 25th International Conference on Computer and Information Technology (ICCIT).

Prognostic Biomarker Identification for Pancreatic Cancer by Analyzing Multiple mRNA Microarray and microRNA Expression Datasets

Md. Al Mehedi Hasan, Azmain Yakin Srizon, 2019, 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2).

Accurate Recognition of Leukemia Sub-types by Utilizing a Transfer Learned Deep Convolutional Neural Network

Md. Al Mehedi Hasan, Azmain Yakin Srizon, M. Hasan, 2020, 2020 11th International Conference on Electrical and Computer Engineering (ICECE).

Classification of American Sign Language by Applying a Transfer Learned Deep Convolutional Neural Network

Md. Al Mehedi Hasan, Azmain Yakin Srizon, M. Hasan, 2020, 2020 23rd International Conference on Computer and Information Technology (ICCIT).

High Performance Classification of Caltech-101 with a Transfer Learned Deep Convolutional Neural Network

Md. Al Mehedi Hasan, Azmain Yakin Srizon, M. Hasan, 2021, 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD).

High-Performance Object Recognition by Employing a Transfer Learned Deep Convolutional Neural Network

Md. Al Mehedi Hasan, Azmain Yakin Srizon, M. Hasan, 2020, 2020 11th International Conference on Electrical and Computer Engineering (ICECE).

A Late Fusion Deep CNN Model for the Classification of Brain Tumors from Multi-Parametric MRI Images

Azmain Yakin Srizon, Md. Farukuzzaman Faruk, Abu Sayeed, 2023, 2023 International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM).

Bengali Sign Language Characters Recognition by Utilizing Transfer Learned Deep Convolutional Neural Network

Azmain Yakin Srizon, M. Hasan, Abu Sayeed, 2020, 2020 11th International Conference on Electrical and Computer Engineering (ICECE).

BornomalaNet: An Effective Approach for Handwritten Bengali Characters Recognition by Using a Low-cost Convolutional Neural Network

Md. Ali Hossain, Azmain Yakin Srizon, 2022, 2022 4th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE).

TaLU: A Hybrid Activation Function Combining Tanh and Rectified Linear Unit to Enhance Neural Networks

Md. Ali Hossain, Azmain Yakin Srizon, M. Hasan, 2023, ArXiv.

Bengali Handwritten Isolated Compound Characters Recognition by Applying Transfer Learned Deep Convolutional Neural Network

Md. Al Mehedi Hasan, Azmain Yakin Srizon, M. Hasan, 2020, 2020 23rd International Conference on Computer and Information Technology (ICCIT).

Handwritten Numerals Recognition by Employing a Transfer Learned Deep Convolution Neural Network for Diverse Literature

Md. Al Mehedi Hasan, Azmain Yakin Srizon, M. Hasan, 2020, 2020 11th International Conference on Electrical and Computer Engineering (ICECE).

Bengali Handwritten Compound Characters Recognition by Utilizing Transfer Learning

Md. Al Mehedi Hasan, Azmain Yakin Srizon, M. Hasan, 2020, 2020 11th International Conference on Electrical and Computer Engineering (ICECE).

A Multi-branch and Attention Based CNN Architecture for the Classification of Retinal Diseases from OCT Images

Sheikh Fazle Rabbi, Azmain Yakin Srizon, Md. Farukuzzaman Faruk, 2023, 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD).

Identifying Prognostic Features for Predicting Heart Failure by Using Machine Learning Algorithm

Azmain Yakin Srizon, Md. Al Mehedi Hasan, Jungpil Shin, 2021, ICBET.

Spatial Attention-guided Deep Learning for Accurate Kidney Disease Classification in CT Scans

Azmain Yakin Srizon, Md. Farukuzzaman Faruk, Md Nazmul Islam, 2023, 2023 26th International Conference on Computer and Information Technology (ICCIT).

An effective screening of COVID‐19 pneumonia by employing chest X‐ray segmentation and attention‐based ensembled classification

Azmain Yakin Srizon, Md. Farukuzzaman Faruk, A. Azad, 2024, IET Image Processing.