Big data-driven governance of smart sustainable intelligent transportation systems: autonomous driving behaviors, predictive modeling techniques, and sensing and …
A Novak, AN Sedlackova, M Vochozka… - … Readings in Law and …, 2022 - ceeol.com
This article reviews and advances existing literature concerning com-puter vision and route
planning algorithms, sensing and computing technologies, and vehicle and pedestrian …
planning algorithms, sensing and computing technologies, and vehicle and pedestrian …
[HTML][HTML] Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities
In recent years, machine learning (ML) and deep learning (DL) have been the leading
approaches to solving various challenges, such as disease predictions, drug discovery …
approaches to solving various challenges, such as disease predictions, drug discovery …
The virtual economy of the metaverse: Computer vision and deep learning algorithms, customer engagement tools, and behavioral predictive analytics
R Watson - Linguistic and Philosophical Investigations, 2022 - ceeol.com
The purpose of this study is to examine the virtual economy of the metaverse in terms of
computer vision and deep learning algorithms, customer engagement tools, and behavioral …
computer vision and deep learning algorithms, customer engagement tools, and behavioral …
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 …
Virtual immersive shopping experiences in metaverse environments: Predictive customer analytics, data visualization algorithms, and smart retailing technologies
J Hudson - Linguistic and Philosophical Investigations, 2022 - ceeol.com
In this article, I cumulate previous research findings indicating that smart connected devices
can assist data-driven decisions in retail livestreaming by articulating personalized shopping …
can assist data-driven decisions in retail livestreaming by articulating personalized shopping …
Adoption of mobile health services using the unified theory of acceptance and use of technology model: Self-efficacy and privacy concerns
Mobile health (mHealth) services have been widely used in medical services and health
management through mobile devices and multiple channels, such as smartphones …
management through mobile devices and multiple channels, such as smartphones …
Haptic and biometric sensor technologies, deep learning-based image classification algorithms, and movement and behavior tracking tools in the metaverse economy
M Kovacova, J Horak, GH Popescu - Analysis and Metaphysics, 2022 - ceeol.com
Despite the relevance of immersive shopping experiences in the blockchain-based virtual
economy, only limited research has been conducted on this topic. In this article, we cumulate …
economy, only limited research has been conducted on this topic. In this article, we cumulate …
Geospatial mapping technologies, predictive modeling algorithms, and immersive visualization systems in the virtual economy of the metaverse
RS Balica - Review of Contemporary Philosophy, 2022 - ceeol.com
This paper provides a systematic literature review of studies investigating data modeling and
virtual navigation tools, dynamic routing technology, and conversational artificial intelligence …
virtual navigation tools, dynamic routing technology, and conversational artificial intelligence …
Deep learning techniques in mobile edge computing for Internet of medical things
A Alawadhi, RB Ahmad, A Almogahed… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
The fast expansion of the Internet of Medical Things (IoMT) has resulted in a ubiquitous
home health diagnostic network. High patient demand results in high costs, short latency …
home health diagnostic network. High patient demand results in high costs, short latency …
Optimization algorithms in security and privacy-preserving data disturbance for collaborative edge computing social IoT deep learning architectures
Edge computing is an innovative solution to cloud computing's IoT application support
issues. Due to network instability and increased attack surfaces, edge-assisted IoT security …
issues. Due to network instability and increased attack surfaces, edge-assisted IoT security …