Fusing deep learning with support vector machines to detect COVID-19 in X-Ray images

J Nalepa, P Bosowski, W Dudzik, M Kawulok - Asian Conference on …, 2022 - Springer
Deep neural networks are powerful learning machines that have laid foundations for most of
the recent advancements in data analysis. Their most important advantage lies in learning …

SmartCardio: Advancing cardiac risk prediction through Internet of things and edge cloud intelligence

S Durga, E Daniel, J Andrew… - IET Wireless Sensor …, 2024 - Wiley Online Library
Cardiovascular disease is a leading cause of illness and death globally. The integration of
Internet of Things (IoT) and deep learning technologies, including transfer learning, has …

DLA-H: A Deep Learning Accelerator for Histopathologic Image Classification

H Bolhasani, SJ Jassbi, A Sharifi - Journal of Digital Imaging, 2023 - Springer
It is more than a decade since machine learning and especially its leading subtype deep
learning have become one of the most interesting topics in almost all areas of science and …

[PDF][PDF] Class Imbalance Handling with Deep Learning Enabled IoT Healthcare Diagnosis Model.

T Ragupathi, M Govindarajan… - … Automation & Soft …, 2022 - cdn.techscience.cn
The rapid advancements in the field of big data, wearables, Internet of Things (IoT),
connected devices, and cloud environment find useful to improve the quality of healthcare …

Adoption of machine learning systems within the health sector: a systematic review, synthesis and research agenda

DN Bundi - Digital Transformation and Society, 2024 - emerald.com
Purpose The purpose of this study is to examine the state of research into adoption of
machine learning systems within the health sector, to identify themes that have been studied …

Utilizing Social Media as a Means of Memorizing the Qur'an

M Alan, X Pik, A Tania - Journal Neosantara Hybrid Learning, 2023 - journal.ypidathu.or.id
Social media is a change from increasingly sophisticated technology. the influence of social
media is very much in the community, the positive influence is one of which makes it easier …

Research on Internet of Medical Things: Systematic Review, Research Trends and Challenges

D Anand, A Kaur, M Singh - Recent Advances in Computer …, 2024 - ingentaconnect.com
Introduction: Remote data exchange operations in healthcare are observed, consulted,
monitored and treated by the Internet of Medical Things (IoMT). It is an extension of the …

Combining Multiagent Systems with IoT forSmarter Buildings and Cities: a literature review

PH Luzolo, S Galland, Z Elrawashdeh, F Outay… - 2023 - researchsquare.com
Abstract The Internet of Things (IoT) and Artificial Intelligence (AI) are two technologiesthat
have long been applied to the development of smart systems. These systemscover various …

Hospital Remote Care Assistance AI to Reduce Workload

LB Elvas, M Nunes, JC Ferreira… - International Journal of …, 2024 - cspub-ijcisim.org
In the ever-evolving healthcare landscape, the rapid advancement of Artificial Intelligence
(AI) technology presents significant opportunities for enhancing patient care and …

Real-time distant healthcare monitoring IoT system secured by light weight cryptography

J John, PO Sinciya - 2023 Annual International Conference on …, 2023 - ieeexplore.ieee.org
The technical advancements in Mobile communication and the possibility of networking
physical devices have made a great impact on the development of real-time monitoring and …