Remote sensing image classification: A comprehensive review and applications
Remote sensing is mainly used to investigate sites of dams, bridges, and pipelines to locate
construction materials and provide detailed geographic information. In remote sensing …
construction materials and provide detailed geographic information. In remote sensing …
Crack detection in concrete structures using deep learning
VP Golding, Z Gharineiat, HS Munawar, F Ullah - Sustainability, 2022 - mdpi.com
Infrastructure, such as buildings, bridges, pavement, etc., needs to be examined periodically
to maintain its reliability and structural health. Visual signs of cracks and depressions …
to maintain its reliability and structural health. Visual signs of cracks and depressions …
Automatic target detection from satellite imagery using machine learning
Object detection is a vital step in satellite imagery-based computer vision applications such
as precision agriculture, urban planning and defense applications. In satellite imagery …
as precision agriculture, urban planning and defense applications. In satellite imagery …
Effects of COVID-19 on the Australian economy: Insights into the mobility and unemployment rates in education and tourism sectors
HS Munawar, SI Khan, F Ullah, AZ Kouzani… - Sustainability, 2021 - mdpi.com
Coronavirus Disease 2019 (COVID-19) has affected global economies due to lockdowns,
business closures, and travel and other restrictions. To control the spread of the virus …
business closures, and travel and other restrictions. To control the spread of the virus …
Using adaptive sensors for optimised target coverage in wireless sensor networks
J Akram, HS Munawar, AZ Kouzani, MAP Mahmud - Sensors, 2022 - mdpi.com
Innovation in wireless communications and microtechnology has progressed day by day,
and this has resulted in the creation of wireless sensor networks. This technology is utilised …
and this has resulted in the creation of wireless sensor networks. This technology is utilised …
Cloud-and fog-integrated smart grid model for efficient resource utilisation
The smart grid (SG) is a contemporary electrical network that enhances the network's
performance, reliability, stability, and energy efficiency. The integration of cloud and fog …
performance, reliability, stability, and energy efficiency. The integration of cloud and fog …
Promoting customer loyalty and satisfaction in financial institutions through technology integration: The roles of service quality, awareness, and perceptions
This study examines the effects of quality of service, product awareness, and perceptions
among customers of Islamic financial institutions (IFIs) on customer loyalty through …
among customers of Islamic financial institutions (IFIs) on customer loyalty through …
Research on Image Classification and Retrieval Using Deep Learning with Attention Mechanism on Diaspora Chinese Architectural Heritage in Jiangmen, China
L Gao, Y Wu, T Yang, X Zhang, Z Zeng, CKD Chan… - Buildings, 2023 - mdpi.com
The study of the architectural heritage of the Chinese diaspora has an important role and
significance in China's historical and cultural background in the preservation of cultural data …
significance in China's historical and cultural background in the preservation of cultural data …
Big data management in drug–drug interaction: a modern deep learning approach for smart healthcare
The detection and classification of drug–drug interactions (DDI) from existing data are of
high importance because recent reports show that DDIs are among the major causes of …
high importance because recent reports show that DDIs are among the major causes of …
Image Segmentation on Gabor Filtered images using Projective Transformation
In recent years, image segmentation has been applied on various images for obtaining
various results. They are being deployed in numerous applications. There are lot of …
various results. They are being deployed in numerous applications. There are lot of …