AiIoMT: IoMT-based system-enabled artificial intelligence for enhanced smart healthcare systems

JB Awotunde, SO Folorunso, SA Ajagbe, J Garg… - Machine learning for …, 2022 - Springer
The healthcare system has been on the frontline in recent years, researchers have tried to
find solutions to different illnesses and sickness by applying various modern methods. But …

Application of artificial intelligence and big data for fighting COVID-19 pandemic

JB Awotunde, S Oluwabukonla, C Chakraborty… - Decision Sciences for …, 2022 - Springer
Abstract The coronavirus (COVID-19) pandemic is playing sensitive havoc in socio-
communal systems, humanity and creates economic crises worldwide. Many strategies have …

Privacy and security concerns in IoT-based healthcare systems

JB Awotunde, RG Jimoh, SO Folorunso… - The fusion of internet of …, 2021 - Springer
Abstract The Internet of Things (IoT) Healthcare system has become one of the most
indispensable parts of human lives, and this has dramatically increased the medical …

Disease diagnosis system for IoT-based wearable body sensors with machine learning algorithm

JB Awotunde, SO Folorunso, AK Bhoi… - … artificial intelligence and …, 2021 - Springer
In recent years, the continuous growth in global infectious disease coupled with population
growth and the associated increase in expectancy lead to the search for new ways of …

Enhancing skin cancer detection and classification in dermoscopic images through concatenated MobileNetV2 and xception models

RO Ogundokun, A Li, RS Babatunde, C Umezuruike… - Bioengineering, 2023 - mdpi.com
One of the most promising research initiatives in the healthcare field is focused on the rising
incidence of skin cancer worldwide and improving early discovery methods for the disease …

Cloud and IoMT-based big data analytics system during COVID-19 pandemic

JB Awotunde, RO Ogundokun, S Misra - Efficient Data Handling for …, 2021 - Springer
The novel severe contagious respiratory syndrome coronavirus called COVID-19 has
caused the most significant global challenge and public health, after the pandemic of …

An improved machine learnings diagnosis technique for COVID-19 pandemic using chest X-ray images

JB Awotunde, SA Ajagbe, MA Oladipupo… - … Conference on Applied …, 2021 - Springer
The pandemic produced by coronavirus2 (COVID-19) has confined the world, and avoiding
close human contact is still suggested to combat the outbreak although the vaccination …

Machine learning and deep learning algorithms for smart cities: a start-of-the-art review

ID Oladipo, M AbdulRaheem, JB Awotunde… - IoT and IoE driven smart …, 2021 - Springer
The development in our urban cities has increased significant risks with everyday lives, like
traffic congestion, pollution of the atmosphere, energy use, and public safety among others …

Hybrid cloud/Fog environment for healthcare: an exploratory study, opportunities, challenges, and future prospects

JB Awotunde, AK Bhoi, P Barsocchi - Hybrid artificial intelligence and IoT …, 2021 - Springer
The healthcare system has been on the frontline in recent years, and new technologies have
greatly benefited healthcare. Researchers have tried to find solutions to different problems …

Explainable AI for fighting COVID-19 pandemic: Opportunities, challenges, and future prospects

KM Abiodun, JB Awotunde, DR Aremu… - … Intelligence for COVID …, 2022 - Springer
Abstract Novel coronavirus illness 2019 (COVID-19) continues to spread exponentially and
has incurred over 7,000,000 infections and 400,000 deaths worldwide. To build an efficient …