Muhammad Ashad Kabir

Charles Sturt University

Australia

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Articles (29)

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Collaborators (14)

Pietro Lio

Professor of Computational Biology

University of Cambridge

UNITED KINGDOM

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Gahangir Hossain

University of North Texas

UNITED STATES

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AKM Azad

SAUDI ARABIA

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Sadia Sabrin Nodi

Charles Sturt University

AUSTRALIA

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shawn mcgrath

Charles Sturt University

AUSTRALIA

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Joshua Kelson

Charles Sturt University

AUSTRALIA

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Lihong Zheng

Charles Sturt University

AUSTRALIA

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Mohamed Abdelrazek

Research Professor

Deakin University

AUSTRALIA

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Mohammad Ali Moni

Senior Lecturer/UQ Senior RSP fellow

University of Queensland

AUSTRALIA

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Associate Professor Azizur Rahman

Charles Sturt University

AUSTRALIA

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Mehedi Tajrian

Charles Sturt University

AUSTRALIA

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Elton Lobo

University of Melbourne

AUSTRALIA

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Anthony Saliba

Charles Sturt University

AUSTRALIA

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Daryl South

Charles Sturt University

AUSTRALIA

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Muhammad Ashad Kabir

Research Interests

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Articles (29)

Self-DenseMobileNet: A robust framework for lung nodule classification using Self-ONN and stacking-based meta-classifier

Self-guided virtual reality therapy for anxiety

Virtual reality and artificial intelligence as psychological countermeasures in space and other isolated and confined environments

The interplay of virtualisation, work design, and business process management

Machine learning-based approaches for distinguishing viral and bacterial pneumonia in paediatrics: A scoping review

Deep learning-based beat-to-beat arterial blood pressure estimation using distant radar signals

BeliN: A novel corpus for Bengali religious news headline generation using contextual feature fusion

Advancing Web Browser Forensics: Critical Evaluation of Emerging Tools and Techniques

MMTF-DES: A fusion of multimodal transformer models for desire, emotion, and sentiment analysis of social media data

Analysis of child development facts and myths using text mining techniques and classification models

Mobile Apps for Wound Assessment and Monitoring: Limitations, Advancements and Opportunities

Exploring the impact of word prediction assistive features on smartphone keyboards for blind users

Examining characteristics of those who receive pedorthic services: A clinical audit

A review of sentiment analysis: tasks, applications, and deep learning techniques

COVIDHealth: A novel labeled dataset and machine learning-based web application for classifying COVID-19 discourses on Twitter

Advancing soil health

LEI

Legal and ethical aspects of deploying artificial intelligence in climate-smart agriculture

Evaluating mobile applications for estimating soil properties: Quality of current apps, limitations and future directions

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

A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh

An Integrated Statistical and Clinically Applicable Machine Learning Framework for the Detection of Autism Spectrum Disorder

Deep Learning Prediction Model for Patient Survival Outcomes in Palliative Care Using Actigraphy Data and Clinical Information

A Novel Hybrid Edge Detection and LBP Code-Based Robust Image Steganography Method

Machine Learning Techniques for Estimating Soil Moisture from Smartphone Captured Images

A Review of Methodologies for Fake News Analysis

Design and development of a smartphone app for hypertension management

Exploring the Potential Use of Wearable Devices as a Prognostic Tool among Patients in Hospice Care

OptiFit: Computer-Vision-Based Smartphone Application to Measure the Foot from Images and 3D Scans

Collaborators (14)

Pietro Lio

Gahangir Hossain

AKM Azad

Sadia Sabrin Nodi

shawn mcgrath

Joshua Kelson

Lihong Zheng

Mohamed Abdelrazek

Mohammad Ali Moni

Associate Professor Azizur Rahman

Mehedi Tajrian

Elton Lobo

Anthony Saliba

Daryl South

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