Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities
Many industry sectors have been pursuing the adoption of Industry 4.0 (I4. 0) ideas and
technologies, which promise to realize lean and just-in-time production through digitization …
technologies, which promise to realize lean and just-in-time production through digitization …
Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives
The innovative technologies emerged with the industrial revolution “Industry 4.0” as well as
the new ones on the way of advanced digitalization enable delivering enhanced, value …
the new ones on the way of advanced digitalization enable delivering enhanced, value …
[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 …
The future of healthcare internet of things: a survey of emerging technologies
The impact of the Internet of Things (IoT) on the advancement of the healthcare industry is
immense. The ushering of the Medicine 4.0 has resulted in an increased effort to develop …
immense. The ushering of the Medicine 4.0 has resulted in an increased effort to develop …
An intelligent healthcare monitoring framework using wearable sensors and social networking data
Wearable sensors and social networking platforms play a key role in providing a new
method to collect patient data for efficient healthcare monitoring. However, continuous …
method to collect patient data for efficient healthcare monitoring. However, continuous …
Artificial intelligence in medical sensors for clinical decisions
Due to the limited ability of conventional methods and the limited perspective of human
diagnostics, patients are often diagnosed incorrectly or at a late stage as their disease …
diagnostics, patients are often diagnosed incorrectly or at a late stage as their disease …
A systematic survey on internet of things: Energy efficiency and interoperability perspective
With the provision of rapid advancement in smart devices used in various technological
fields exponentially increases the heterogeneity and energy consumption in internet of …
fields exponentially increases the heterogeneity and energy consumption in internet of …
Application of AI and IoT in clinical medicine: summary and challenges
Z Lu, P Qian, D Bi, Z Ye, X He, Y Zhao, L Su, S Li… - Current medical …, 2021 - Springer
The application of artificial intelligence (AI) technology in the medical field has experienced
a long history of development. In turn, some long-standing points and challenges in the …
a long history of development. In turn, some long-standing points and challenges in the …
A smart biometric identity management framework for personalised IoT and cloud computing-based healthcare services
This paper proposes a novel identity management framework for Internet of Things (IoT) and
cloud computing-based personalized healthcare systems. The proposed framework uses …
cloud computing-based personalized healthcare systems. The proposed framework uses …
Extraction and interpretation of deep autoencoder-based temporal features from wearables for forecasting personalized mood, health, and stress
Continuous wearable sensor data in high resolution contain physiological and behavioral
information that can be utilized to predict human health and wellbeing, establishing the …
information that can be utilized to predict human health and wellbeing, establishing the …