An integrated methodology for bibliometric analysis: a case study of internet of things in healthcare applications
This paper presents an integrated and easy methodology for bibliometric analysis. The
proposed methodology is evaluated on recent research activities to highlight the role of the …
proposed methodology is evaluated on recent research activities to highlight the role of the …
MEmoR: A multimodal emotion recognition using affective biomarkers for smart prediction of emotional health for people analytics in smart industries
The intersection of people, data and intelligent machines has a far-reaching impact on the
productivity, efficiency and operations of a smart industry. Internet-of-things (IoT) offers a …
productivity, efficiency and operations of a smart industry. Internet-of-things (IoT) offers a …
Unsupervised deep learning for IoT time series
Internet of Things (IoT) time-series analysis has found numerous applications in a wide
variety of areas, ranging from health informatics to network security. Nevertheless, the …
variety of areas, ranging from health informatics to network security. Nevertheless, the …
Optimal sizing of photovoltaic-battery system for peak demand reduction using statistical models
Due to increasing environmental concerns and demand for clean energy resources,
photovoltaic (PV) systems are becoming more prevalent. Considering that in several …
photovoltaic (PV) systems are becoming more prevalent. Considering that in several …
Depress-DCNF: A deep convolutional neuro-fuzzy model for detection of depression episodes using IoMT
Discernible patterns of a person's daily activities can be utilized to detect behavioral
symptomatology of mental illness at early stages. Wearable Internet of Medical Things …
symptomatology of mental illness at early stages. Wearable Internet of Medical Things …
[HTML][HTML] Transformative impacts of the Internet of Medical Things on modern healthcare
Abstract The Internet of Medical Things (IoMT) offers real-time data insights, reduces energy
costs, and enhances patient comfort, presenting transformative potential for healthcare …
costs, and enhances patient comfort, presenting transformative potential for healthcare …
[HTML][HTML] Design and implementation of Internet of Medical Things (IoMT) using artificial intelligent for mobile-healthcare
AA Aljabr, K Kumar - Measurement: Sensors, 2022 - Elsevier
The newest phase of the Internet of Things is the Internet of Medical Things (IoMT), which
has applications for smart healthcare systems. In a pandemic, healthcare workers face many …
has applications for smart healthcare systems. In a pandemic, healthcare workers face many …
A systematic review on artificial intelligence approaches for smart health devices
L Aversano, M Iammarino, I Mancino… - PeerJ Computer …, 2024 - peerj.com
In the context of smart health, the use of wearable Internet of Things (IoT) devices is
becoming increasingly popular to monitor and manage patients' health conditions in a more …
becoming increasingly popular to monitor and manage patients' health conditions in a more …
An energy aware intelligent fault detection scheme for IoT-enabled WSNs
Recent years have seen an explosion in the demand for the Internet of Things (IoT). IoT
makes any physical object smart by providing sensing capability. The physical objects are …
makes any physical object smart by providing sensing capability. The physical objects are …
Affect and stress detection based on feature fusion of LSTM and 1DCNN
M Feng, T Fang, C He, M Li, J Liu - Computer Methods in …, 2024 - Taylor & Francis
The impact of emotions on health, especially stress, is receiving increasing attention. It is
important to provide a non-invasive affect detection system that can be continuously …
important to provide a non-invasive affect detection system that can be continuously …