[HTML][HTML] The resurrection of digital triplet: A cognitive pillar of human-machine integration at the dawn of industry 5.0
The integration of AI technology with digital transformation has profoundly shaped the
evolution towards digital triplet architecture, grounded in human-centric methodologies. By …
evolution towards digital triplet architecture, grounded in human-centric methodologies. By …
[HTML][HTML] The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: a comprehensive systematic review
SE Bibri, J Huang, SK Jagatheesaperumal… - Environmental Science …, 2024 - Elsevier
In the dynamic landscape of sustainable smart cities, emerging computational technologies
and models are reshaping data-driven planning strategies, practices, and approaches …
and models are reshaping data-driven planning strategies, practices, and approaches …
Sponet: solve spatial optimization problem using deep reinforcement learning for urban spatial decision analysis
Urban spatial decision analysis is a critical component of spatial optimization and has
profound implications in various fields, such as urban planning, logistics distribution, and …
profound implications in various fields, such as urban planning, logistics distribution, and …
[HTML][HTML] DIGITAL MARKETING MARKETING OPPORTUNITIES AND THE POWER OF DIGITAL CONSUMERS
D Dašić, V Vučić, Ž Turčinović… - Економика пољопривреде, 2023 - cyberleninka.ru
The article contrasts digital and conventional marketing while also examining the
fundamentals of the idea of digital marketing, as well as its structure and characteristics in …
fundamentals of the idea of digital marketing, as well as its structure and characteristics in …
Image Processing Computational Algorithms, Multimodal Behavioral Analytics, and Generative Artificial Intelligence and Ambient Scene Detection Tools in Immersive …
M Poliak, A Poliakova, G Lăzăroiu - … Readings in Law and Social Justice, 2023 - ceeol.com
The aim of this systematic review is to synthesize and analyze interconnected monitoring
devices, interoperable digital avatars, and employee monitoring software. In this research …
devices, interoperable digital avatars, and employee monitoring software. In this research …
Implementing a digital twin of an underground utility tunnel for geospatial feature extraction using a multimodal image sensor
J Lee, Y Lee, S Park, C Hong - Applied Sciences, 2023 - mdpi.com
The increasing interest in digital twin technology, the digitalization of worn-out social
overhead capital (SOC), and disaster management services has augmented the usage of …
overhead capital (SOC), and disaster management services has augmented the usage of …
Remote sensing data fusion techniques, multimodal behavioral predictive and mobile location analytics, and spatial cognition and context awareness algorithms in the …
The purpose of this study is to examine big geospatial data and user journey analytics,
metaverse assets and services, and cyber-physical cognitive and immersive visualization …
metaverse assets and services, and cyber-physical cognitive and immersive visualization …
Geospatial big data management and computer vision algorithms, remote sensing and image recognition technologies, and event modeling and forecasting tools in …
E Nica, J Vahancik - Linguistic and Philosophical Investigations, 2023 - ceeol.com
The objective of this paper is to systematically review immersive visualization and cognitive
computing systems in a fully connected metaverse. The findings and analyses highlight that …
computing systems in a fully connected metaverse. The findings and analyses highlight that …
Virtual navigation and digital twin simulation tools, internet of things-based decision support and big data computing systems, and image recognition and geolocation …
The present study systematically reviews the existing research on virtual immersive and
spatial computing technologies, environment perception sensors, and geolocation data …
spatial computing technologies, environment perception sensors, and geolocation data …
Generative Artificial Intelligence-based Diagnostic Algorithms in Disease Risk Detection, in Personalized and Targeted Healthcare Procedures, and in Patient Care …
The aim of this systematic review is to synthesize and analyze generative artificial
intelligence algorithms articulating specific treatment recommendations, clinical decision …
intelligence algorithms articulating specific treatment recommendations, clinical decision …