U-Net-based models towards optimal MR brain image segmentation

R Yousef, S Khan, G Gupta, T Siddiqui, BM Albahlal… - Diagnostics, 2023 - mdpi.com
Brain tumor segmentation from MRIs has always been a challenging task for radiologists,
therefore, an automatic and generalized system to address this task is needed. Among all …

Abnormal activity recognition from surveillance videos using convolutional neural network

S Habib, A Hussain, W Albattah, M Islam, S Khan… - Sensors, 2021 - mdpi.com
Background and motivation: Every year, millions of Muslims worldwide come to Mecca to
perform the Hajj. In order to maintain the security of the pilgrims, the Saudi government has …

A Hybrid Deep Learning‐Based Network for Photovoltaic Power Forecasting

A Hussain, ZA Khan, T Hussain, FUM Ullah, S Rho… - …, 2022 - Wiley Online Library
For efficient energy distribution, microgrids (MG) provide significant assistance to main grids
and act as a bridge between the power generation and consumption. Renewable energy …

Real-time face mask detection to ensure COVID-19 precautionary measures in the developing countries

H Farman, T Khan, Z Khan, S Habib, M Islam… - Applied Sciences, 2022 - mdpi.com
Recently, the rapid transmission of Coronavirus 2019 (COVID-19) is causing a significant
health crisis worldwide. The World Health Organization (WHO) issued several guidelines for …

Towards efficient detection and crowd management for law enforcing agencies

S Habib, A Hussain, M Islam, S Khan… - 2021 1st International …, 2021 - ieeexplore.ieee.org
each year more than two million Muslims from around the world come to perform Hajj in
Makah. It is considered the world's largest recorded human gathering during any worshiping …

Classification of Acute Myeloid Leukaemia using Deep Learning Features

P Zeb, Q Arbab, MQ Khan, H Ali - The Sciencetech, 2023 - journals.qurtuba.edu.pk
Abstract Acute Myeloid Leukaemia (AML) is a sub-category of leukaemia, which is prevailing
among adults. One of the top ten most dangerous causes of mortality for humans is AML …

Detection of Pneumonia from chest x-ray images using Machine Learning

AR Priya, K Sarkar, TR Khan, SF Turna, S Mubashshira - 2023 - dspace.bracu.ac.bd
A bacterial infection is the cause of the lung condition known as pneumonia. An essential
component of a successful treatment procedure is early diagnosis. Without early diagnosis …

Optimizing Pneumonia Diagnosis during COVID-19: Utilizing Random Forest for Accurate Classification and Effective Public Health Interventions

F Malik, M Suliman, S Shaha, MQ Khan… - Journal of Computing & …, 2024 - jcbi.org
In the quest for precise diagnosis and classification of pneumonia, particularly intensified by
the Coronavirus 2019 (COVID-19) pandemic, this research work presents an optimized …

[PDF][PDF] Detection of pneumonia by chest x-ray using machine learning techniques.

S Nahimana - 2022 - dr.ur.ac.rw
Pneumonia causes death every year worldwide, especially under five-year-old children 15
percent of death are accounted for it. Chest x-rays are primarily used for the diagnosis of …