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 …

[HTML][HTML] Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities

A Rahman, T Debnath, D Kundu, MSI Khan… - AIMS Public …, 2024 - ncbi.nlm.nih.gov
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 …

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 …

An integrated methodology for bibliometric analysis: a case study of internet of things in healthcare applications

R Ullah, I Asghar, MG Griffiths - Sensors, 2022 - mdpi.com
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 …

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 …

Adoption of mobile health services using the unified theory of acceptance and use of technology model: Self-efficacy and privacy concerns

Y Liu, X Lu, G Zhao, C Li, J Shi - Frontiers in Psychology, 2022 - frontiersin.org
Mobile health (mHealth) services have been widely used in medical services and health
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 …

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 …

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 …

Optimization algorithms in security and privacy-preserving data disturbance for collaborative edge computing social IoT deep learning architectures

M Boopathi, S Gupta, ANM Zabeeulla, R Gupta… - Soft Computing, 2023 - Springer
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 …