[PDF][PDF] An Efficient and Robust Hand Gesture Recognition System of Sign Language Employing Finetuned Inception-V3 and Efficientnet-B0 Network.

A Hussain, S Ul Amin, M Fayaz, S Seo - Computer Systems Science …, 2023 - academia.edu
Hand Gesture Recognition (HGR) is a promising research area with an extensive range of
applications, such as surgery, video game techniques, and sign language translation, where …

An automated chest X-ray image analysis for covid-19 and pneumonia diagnosis using deep ensemble strategy

A Hussain, SU Amin, H Lee, A Khan, NF Khan… - IEEE …, 2023 - ieeexplore.ieee.org
Precise and timely diagnosis of Covid-19 and pneumonia is crucial for effective treatment.
However, the traditional RT-PCR method is time-consuming, costly, and prone to incorrect …

A Comparative Analysis of Intrusion Detection in IoT Network Using Machine Learning

M Imad, M Abul Hassan, S Hussain Bangash… - Big Data Analytics and …, 2022 - Springer
Recent innovations and advanced technology encourage users to implement solutions
against harmful attacks. This is provided new capabilities of dynamic provisioning …

Investigation of blockchain for COVID-19: a systematic review, applications and possible challenges

SH Badshah, M Imad, MA Hassan… - … on Smart Cities, 2023 - publications.eai.eu
Smart city is emerging application in which many Internet of Things (IoT) devices are
embedded to perform overall monitoring and perform processing automatically. In smart city …

Design a framework for IoT-Identification, Authentication and Anomaly detection using Deep Learning: A Review

A Shoukat, MA Hassan, M Rizwan, M Imad… - … Transactions on Smart …, 2022 - eudl.eu
Abstract The Internet of Things (IoT) connects billions of smart gadgets so that they may
communicate with one another without the need for human intervention. With an expected …

POX and RYU Controller Performance Analysis on Software Defined Network

N Naim, M Imad, MA Hassan, MB Afzal, S Khan… - … Transactions on Internet …, 2023 - eudl.eu
From the last decades different types of network schemes are pitched to enhance the user
performance. Software Defined Networks (SDN) is also considered as important factor for …

Land-Cover Classification Using Deep Learning with High-Resolution Remote-Sensing Imagery

M Fayaz, J Nam, LM Dang, HK Song, H Moon - Applied Sciences, 2024 - mdpi.com
Land-area classification (LAC) research offers a promising avenue to address the intricacies
of urban planning, agricultural zoning, and environmental monitoring, with a specific focus …

Machine learning algorithms for classification of COVID-19 using chest X-ray images

SH Badshah, M Imad, IU Khan, MA Hassan - Advanced AI and internet of …, 2023 - Springer
The COVID-19 pandemic spread around 150 countries and impacted people's health and
life globally in the last few years. According to the European Centre of Disease Prevention …

A comprehensive survey of machine learning applications in healthcare

SH Bangash, M Imad - Cognitive Machine Intelligence, 2024 - taylorfrancis.com
Machine Learning (ML) has emerged as a transformative force in the healthcare domain,
offering unprecedented opportunities for improving patient care, disease diagnosis …

[PDF][PDF] Investigation of Blockchain for COVID-19: A Systematic Review, Applications and Possible Challenges

SU Farhatullah, SH Ali - 2023 - academia.edu
Smart city is emerging application in which many Internet of Things (IoT) devices are
embedded to perform overall monitoring and perform processing automatically. In smart city …