[HTML][HTML] Taxonomy of hybrid architectures involving rule-based reasoning and machine learning in clinical decision systems: A scoping review

S Kierner, J Kucharski, Z Kierner - Journal of Biomedical Informatics, 2023 - Elsevier
Background As the application of Artificial Intelligence (AI) technologies increases in the
healthcare sector, the industry faces a need to combine medical knowledge, often …

[HTML][HTML] An extended review concerning the relevance of deep learning and privacy techniques for data-driven soft sensors

R Bocu, D Bocu, M Iavich - Sensors, 2022 - mdpi.com
The continuously increasing number of mobile devices actively being used in the world
amounted to approximately 6.8 billion by 2022. Consequently, this implies a substantial …

Comparison and Performance Analysis of Massive Mimo Based 5g Communication Network Through Potential Parameters

S Bolla, M Singh - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
To provide high-speed, low-latency, and dependable wireless access, 5G communication
networks have completely changed the telecoms sector. Massive Multiple-Input Multiple …

A hybrid deep learning–based remote monitoring healthcare system using wearable devices

D Srivastava, R Krishnamoorthy… - 5G-Based Smart …, 2023 - taylorfrancis.com
Athletes who push their bodies to the limit need to be in tip-top shape to compete. Before
engaging in strenuous activity or competition, they should focus on building a healthy body …

XAmI applications to telemedicine and telecare

TCT Chen - … (XAmI) Explainable Artificial Intelligence Applications in …, 2024 - Springer
Telemedicine and telecare are another important application of ambient intelligence (AmI).
This chapter first summarizes the applications of artificial intelligence (AI) in telemedicine …

Fuzzy machine learning logic utilization on hormonal imbalance dataset

R Khushal, U Fatima - Computers in Biology and Medicine, 2024 - Elsevier
In this research work, a novel fuzzy data transformation technique has been proposed and
applied to the hormonal imbalance dataset. Hormonal imbalance is ubiquitously found …

Emerging machine learning in wearable healthcare sensors

GS Adi, I Park - Journal of Sensor Science and Technology, 2023 - koreascience.kr
Human biosignals provide essential information for diagnosing diseases such as dementia
and Parkinson's disease. Owing to the shortcomings of current clinical assessments …

[HTML][HTML] Landscape of Epilepsy Research: Analysis and Future Trajectory

M Sharma, S Anand, R Pourush - Interdisciplinary Neurosurgery, 2023 - Elsevier
Epilepsy is a neurological condition characterized by temporary disruptions in the brain's
electrical activity. This disorder can significantly impact the quality of life for those affected …

A novel framework for multiple disease prediction in telemedicine systems using deep learning

DR Unnithan, JR Jeba - Automatika, 2024 - Taylor & Francis
Telemedicine systems are gaining popularity due to their ability to provide remote medical
services. These systems produce a lot of data, which may be used for a variety of purposes …

Enhancing Intrusion Detection in Autonomous Vehicles Using Tree-Based Machine Learning Techniques

AB Kumar, M Singh - 2023 3rd Asian Conference on Innovation …, 2023 - ieeexplore.ieee.org
According to this study, autonomous vehicles (AV) employ a network intrusion detection
system with a tree-structured machine learning model (IDS). In machine learning techniques …