3D Digital Twin and Hyper-Connected Factories, Process Simulation and Modeling Technologies, and Deep Learning-based Image Classification and Machine Vision …

R Hayward - Journal of Self-Governance and Management …, 2023 - ceeol.com
The present study systematically reviews the existing research on perception and planning
algorithms, virtual reality-based data analytics and simulation modeling tools, and Internet of …

Artificial Intelligence-based Internet of Manufacturing Things Systems, Digital Twin Data Modeling and Visualization Tools, and Multi-Sensory Extended Reality and …

M Barker - Economics, Management, and Financial Markets, 2023 - ceeol.com
The aim of this systematic review is to synthesize and analyze 3D digital twin factories,
blockchain-based digital asset management and multi-sensor fusion systems, and …

Virtual Modeling and Immersive Holographic Imaging Technologies, Cloud-based Digital Twin Manufacturing and Visual Perceptive Systems, and Bio-inspired …

D Atkinson - Journal of Self-Governance and Management …, 2023 - ceeol.com
Based on an in-depth survey of the literature, the purpose of the paper is to explore cognitive
artificial intelligence and machine learning-based predictive algorithms, digital twin and …

Cognitive Artificial Intelligence and Remote Sensing Algorithms, Virtual Immersive and Spatial Computing Technologies, and 3D Image Modeling and Digital Twin …

A Stevens - Economics, Management, and Financial Markets, 2023 - ceeol.com
In this article, I cumulate previous research findings indicating that virtual sensor modeling
and simulation systems, realistic 3D digital twins, and industrial data semantics assist …

[CITATION][C] A Collaborative Neural Network-Based Automatic Object Recognition Method for Environmental Space Under Virtual Reality Scenes

L Li, O Alfarraj, A Tolba - Journal of Circuits, Systems and …, 2024 - World Scientific
The widespread application of virtual reality has made automatic target recognition in
environmental space particularly important. However, traditional image recognition methods …