AI for next generation computing: Emerging trends and future directions
Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …
outcomes on their own, without the intervention of a human operator. Autonomic computing …
A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids
Microgrids have recently emerged as a building block for smart grids combining distributed
renewable energy sources (RESs), energy storage devices, and load management …
renewable energy sources (RESs), energy storage devices, and load management …
[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications
Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
Diagnosis of chronic kidney disease using effective classification algorithms and recursive feature elimination techniques
EM Senan, MH Al-Adhaileh, FW Alsaade… - Journal of healthcare …, 2021 - Wiley Online Library
Chronic kidney disease (CKD) is among the top 20 causes of death worldwide and affects
approximately 10% of the world adult population. CKD is a disorder that disrupts normal …
approximately 10% of the world adult population. CKD is a disorder that disrupts normal …
Machine learning model towards evaluating data gathering methods in manufacturing and mechanical engineering
Abstract Supervised Machine Learning (ML) models require extensive training data to
properly approximate the behavior of complex mechanical processes and systems. Real …
properly approximate the behavior of complex mechanical processes and systems. Real …
Secure medical data transmission model for IoT-based healthcare systems
M Elhoseny, G Ramírez-González… - Ieee …, 2018 - ieeexplore.ieee.org
Due to the significant advancement of the Internet of Things (IoT) in the healthcare sector,
the security, and the integrity of the medical data became big challenges for healthcare …
the security, and the integrity of the medical data became big challenges for healthcare …
A hybrid model of internet of things and cloud computing to manage big data in health services applications
Over the last decade, there has been an increasing interest in big data research, especially
for health services applications. The adoption of the cloud computing and the Internet of …
for health services applications. The adoption of the cloud computing and the Internet of …
Hybrid optimization with cryptography encryption for medical image security in Internet of Things
M Elhoseny, K Shankar, SK Lakshmanaprabu… - Neural computing and …, 2020 - Springer
The development of the Internet of Things (IoT) is predicted to change the healthcare
industry and might lead to the rise of the Internet of Medical Things. The IoT revolution is …
industry and might lead to the rise of the Internet of Medical Things. The IoT revolution is …
SSII: secured and high-quality steganography using intelligent hybrid optimization algorithms for IoT
Internet of Things (IoT) is a domain where the transfer of big data is taking place every single
second. The security of these data is a challenging task; however, security challenges can …
second. The security of these data is a challenging task; however, security challenges can …
[HTML][HTML] Evolutionary trends in progressive cloud computing based healthcare: Ideas, enablers, and barriers
Cloud computing is one of the significant facilitators of the health information revolution in
the healthcare business. The global exchange of records in the health sector through …
the healthcare business. The global exchange of records in the health sector through …