A. Azad

发表

A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models

K. A. Taher, Nahid Ferdous Aurna, M. A. Yousuf, 2022, Comput. Biol. Medicine.

Clinically Applicable Machine Learning Approaches to Identify Attributes of Chronic Kidney Disease (CKD) for Use in Low-Cost Diagnostic Screening

Julian M. W. Quinn, S. A. Alyami, A. Azad, 2021, IEEE Journal of Translational Engineering in Health and Medicine.

LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data

Mohammad Ali Moni, Md Whaiduzzaman, Nuruzzaman Faruqui, 2021, Comput. Biol. Medicine.

Early-Stage Detection of Ovarian Cancer Based on Clinical Data Using Machine Learning Approaches

Md. Martuza Ahamad, Md. Jamal Uddin, A. Azad, 2022, Journal of personalized medicine.

Discovering novel cancer bio-markers in acquired lapatinib resistance using Bayesian methods

A. Azad, S. Alyami, 2020, Briefings Bioinform..

Effects of Bacille Calmette Guerin (BCG) vaccination during COVID-19 infection

Md. Omar Faruqe, Utpala Nanda Chowdhury, A. Azad, 2021, Computers in Biology and Medicine.

Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques

Md. Atiqur Rahman Ahad, Mohammad Ali Moni, Md Atiqur Rahman Ahad, 2021, IEEE Access.

Bioinformatics and system biology approaches to identify the diseasome and comorbidities complexities of SARS-CoV-2 infection with the digestive tract disorders

Shauli Sarmin Sumi, Md Asif Nashiry, A. Azad, 2021, Briefings Bioinform..

Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development

Md. Martuza Ahamad, Julian M. W. Quinn, Sheikh Mohammed Shariful Islam, 2021, JMIR Medical Informatics.

Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development (Preprint)

Md. Martuza Ahamad, Julian M. W. Quinn, Sheikh Mohammed Shariful Islam, 2020 .

Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data pdf

Mohammed Shahadat Uddin, Mohammad Ali Moni, Sakifa Aktar, 2020, ArXiv.

Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccination Reactogenicity

Iqbal H. Sarker, Md. Martuza Ahamad, Julian M. W. Quinn, 2021, medRxiv.

Network based systems biology approach to identify diseasome and comorbidity associations of Systemic Sclerosis with cancers

Md. Mainul Islam Mamun, A. Azad, M. Moni, 2022, Heliyon.

Improved Transfer-Learning-Based Facial Recognition Framework to Detect Autistic Children at an Early Stage

Md. Shahriare Satu, Md. Jamal Uddin, Md. Imran Khan, 2021, Brain sciences.

dSeqSb: A systems biology approach to decipher dynamics of host-pathogen interactions using temporal dual RNA-seq data

F. Vafaee, A. Azad, M. Dinarvand, 2022, bioRxiv.

A Human-Robot Interaction System Calculating Visual Focus of Human’s Attention Level

M. Yousuf, A. Azad, M. Moni, 2021, IEEE Access.

Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Clinical Blood Testing Data.

Md. Martuza Ahamad, Julian M. W. Quinn, Sheikh Mohammed Shariful Islam, 2021, JMIR medical informatics.

COVIDSpread: real-time prediction of COVID-19 spread based on time-series modelling

F. Vafaee, A. Azad, T. Hossein Rashidi, 2021, F1000Research.

Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor

Md. Zia Uddin, M. Yousuf, Asaduzzaman Khan, 2022, IEEE Journal of Translational Engineering in Health and Medicine.

Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development

Md. Martuza Ahamad, Julian M. W. Quinn, Sheikh Mohammed Shariful Islam, 2020, JMIR medical informatics.

SafetyMed: A Novel IoMT Intrusion Detection System Using CNN-LSTM Hybridization

M. Yousuf, A. Azad, M. Moni, 2023, Electronics.

Particle Swarm Optimized Fuzzy CNN With Quantitative Feature Fusion for Ultrasound Image Quality Identification

Mohammad Motiur Rahman, M. Yousuf, A. Azad, 2022, IEEE Journal of Translational Engineering in Health and Medicine.

An Explainable EEG-Based Human Activity Recognition Model Using Machine-Learning Approach and LIME

Md. Azam Hossain, Se Jin Park, A. Azad, 2023, Sensors.

A comprehensive integrated drug similarity resource for in-silico drug repositioning and beyond

Fatemeh Vafaee, A K M Azad, Mojdeh Dinarvand, 2020, Briefings Bioinform..

Cancer Classification Utilizing Voting Classifier with Ensemble Feature Selection Method and Transcriptomic Data

Md. Manowarul Islam, J. Kamruzzaman, Sunil Aryal, 2023, Genes.

Early Detection of Coronavirus Cases Using Chest X-ray Images Employing Machine Learning and Deep Learning Approaches

Mohammad Zoynul Abedin, Md. Shahriare Satu, K. Ahammed, 2020, medRxiv.

Convolutional Neural Network Model to Detect COVID-19 Patients Utilizing Chest X-Ray Images

Mohammad Zoynul Abedin, Md. Shahriare Satu, Md. Auhidur Rahman, 2022, MIET.

FP-CNN: Fuzzy pooling-based convolutional neural network for lung ultrasound image classification with explainable AI

A. Azad, M. Moni, M. Hossain, 2023, Comput. Biol. Medicine.

Single-cell RNA-seq data analysis reveals functionally relevant biomarkers of early brain development and their regulatory footprints in human embryonic stem cells (hESCs)

Most Humaira Sultana, I. A. Babarinde, A. Azad, 2024, Briefings in bioinformatics.

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.

WheatSpikeNet: an improved wheat spike segmentation model for accurate estimation from field imaging

Md. Azam Hossain, Md. Mehedi Hasan, S. Miklavcic, 2023, Frontiers in plant science.