Dr Surbhi Khan's Outputs (65)

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

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

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.

A robust NIfTI image authentication framework to ensure reliable and safe diagnosis. (2023)
Journal Article
Basheer, S., Singh, K. U., Sharma, V., Bhatia, S., Pande, N., & Kumar, A. (2023). A robust NIfTI image authentication framework to ensure reliable and safe diagnosis. PeerJ Computer Science, 9, e1323. https://doi.org/10.7717/peerj-cs.1323

Advancements in digital medical imaging technologies have significantly impacted the healthcare system. It enables the diagnosis of various diseases through the interpretation of medical images. In addition, telemedicine, including teleradiology, has... Read More about A robust NIfTI image authentication framework to ensure reliable and safe diagnosis..