All Outputs (46)

Development of a cloud-assisted classification technique for the preservation of secure data storage in smart cities (2023)
Journal Article
Kumar, A., Khan, S. B., Pandey, S. K., Shankar, A., Maple, C., Mashat, A., & Malibari, A. A. (in press). Development of a cloud-assisted classification technique for the preservation of secure data storage in smart cities. #Journal not on list, 12(1), 92. https://doi.org/10.1186/s13677-023-00469-9

Cloud computing is the most recent smart city advancement, made possible by the increasing volume of heterogeneous data produced by apps. More storage capacity and processing power are required to process this volume of data. Data analytics is used t... Read More about Development of a cloud-assisted classification technique for the preservation of secure data storage in smart cities.

Machine Learning-Driven Ubiquitous Mobile Edge Computing as a Solution to Network Challenges in Next-Generation IoT (2023)
Journal Article
Al Moteri, M., Khan, S. B., & Alojail, M. (in press). Machine Learning-Driven Ubiquitous Mobile Edge Computing as a Solution to Network Challenges in Next-Generation IoT. Systems, 11(6), 308. https://doi.org/10.3390/systems11060308

Ubiquitous mobile edge computing (MEC) using the internet of things (IoT) is a promising technology for providing low-latency and high-throughput services to end-users. Resource allocation and quality of service (QoS) optimization are critical challe... Read More about Machine Learning-Driven Ubiquitous Mobile Edge Computing as a Solution to Network Challenges in Next-Generation IoT.

Fusion of Graph and Tabular Deep Learning Models for Predicting Chronic Kidney Disease (2023)
Journal Article
Rao, P. K., Chatterjee, S., Nagaraju, K., Khan, S. B., Almusharraf, A., & Alharbi, A. I. (in press). Fusion of Graph and Tabular Deep Learning Models for Predicting Chronic Kidney Disease. Diagnostics, 13(12), 1981. https://doi.org/10.3390/diagnostics13121981

Chronic Kidney Disease (CKD) represents a considerable global health challenge, emphasizing the need for precise and prompt prediction of disease progression to enable early intervention and enhance patient outcomes. As per this study, we introduce a... Read More about Fusion of Graph and Tabular Deep Learning Models for Predicting Chronic Kidney Disease.

Load Balancing Using Artificial Intelligence for Cloud-Enabled Internet of Everything in Healthcare Domain (2023)
Journal Article
Aqeel, I., Khormi, I. M., Khan, S. B., Shuaib, M., Almusharraf, A., Alam, S., & Alkhaldi, N. A. (in press). Load Balancing Using Artificial Intelligence for Cloud-Enabled Internet of Everything in Healthcare Domain. Sensors, 23(11), 5349. https://doi.org/10.3390/s23115349

The emergence of the Internet of Things (IoT) and its subsequent evolution into the Internet of Everything (IoE) is a result of the rapid growth of information and communication technologies (ICT). However, implementing these technologies comes with... Read More about Load Balancing Using Artificial Intelligence for Cloud-Enabled Internet of Everything in Healthcare Domain.

Design and Development of IoT and Deep Ensemble Learning Based Model for Disease Monitoring and Prediction (2023)
Journal Article
Venkatachala Appa Swamy, M., Periyasamy, J., Thangavel, M., Khan, S. B., Almusharraf, A., Santhanam, P., …Elsisi, M. (in press). Design and Development of IoT and Deep Ensemble Learning Based Model for Disease Monitoring and Prediction. Diagnostics, 13(11), 1942. https://doi.org/10.3390/diagnostics13111942

With the rapidly increasing reliance on advances in IoT, we persist towards pushing technology to new heights. From ordering food online to gene editing-based personalized healthcare, disruptive technologies like ML and AI continue to grow beyond our... Read More about Design and Development of IoT and Deep Ensemble Learning Based Model for Disease Monitoring and Prediction.

Sustainable Irrigation Requirement Prediction Using Internet of Things and Transfer Learning (2023)
Journal Article
Blessy, A., Kumar, A., Quadir Md, A., Alharbi, A. I., Almusharraf, A., Khan, S. B., …Md, A. Q. (2023). Sustainable Irrigation Requirement Prediction Using Internet of Things and Transfer Learning. Sustainability, 15(10), 8260. https://doi.org/10.3390/su15108260

Irrigation systems are a crucial research area because it is essential to conserve fresh water and utilize it wisely. As a part of this study, the reliability of predicting the usage of water in the present and future is investigated in order to deve... Read More about Sustainable Irrigation Requirement Prediction Using Internet of Things and Transfer Learning.