Remote big data management tools, sensing and computing technologies, and visual perception and environment mapping algorithms in the Internet of Robotic …

M Andronie, G Lăzăroiu, OL Karabolevski… - Electronics, 2022 - mdpi.com
The purpose of our systematic review was to inspect the recently published research on
Internet of Robotic Things (IoRT) and harmonize the assimilations it articulates on remote …

Big data management algorithms, deep learning-based object detection technologies, and geospatial simulation and sensor fusion tools in the internet of robotic …

M Andronie, G Lăzăroiu, M Iatagan, I Hurloiu… - … International Journal of …, 2023 - mdpi.com
The objective of this systematic review was to analyze the recently published literature on
the Internet of Robotic Things (IoRT) and integrate the insights it articulates on big data …

Artificial intelligence-based decision-making algorithms, Internet of Things sensing networks, and sustainable cyber-physical management systems in big data-driven …

G Lazaroiu, A Androniceanu, I Grecu, G Grecu… - Oeconomia …, 2022 - ceeol.com
Research background: With increasing evidence of cognitive technologies progressively
inte-grating themselves at all levels of the manufacturing enterprises, there is an …

Computer vision algorithms, remote sensing data fusion techniques, and mapping and navigation tools in the Industry 4.0-based Slovak automotive sector

M Nagy, G Lăzăroiu - Mathematics, 2022 - mdpi.com
The objectives of this paper, and the novelty brought to the topic of the Industry 4.0
manufacturing systems, are related to the integration of computer vision algorithms, remote …

Machine intelligence and autonomous robotic technologies in the corporate context of SMEs: Deep learning and virtual simulation algorithms, cyber-physical …

M Nagy, G Lăzăroiu, K Valaskova - Applied Sciences, 2023 - mdpi.com
This study examines Industry 4.0-based technologies, focusing on the barriers to their
implementation in European small-and medium-sized enterprises (SMEs). The purpose of …

Decision intelligence and modeling, multisensory customer experiences, and socially interconnected virtual services across the metaverse ecosystem

E Nica, M Poliak, GH Popescu, IA Pârvu - Linguistic and Philosophical …, 2022 - ceeol.com
This article reviews and advances existing literature concerning decision intelligence and
modeling, multisensory customer experiences, and socially interconnected virtual services …

Industry 4.0 wireless networks and cyber-physical smart manufacturing systems as accelerators of value-added growth in Slovak exports

K Valaskova, M Nagy, S Zabojnik, G Lăzăroiu - Mathematics, 2022 - mdpi.com
Industry 4.0 integrates smart and connected production systems that are pivotal in predicting
and supporting production in real-time, leading to sustainable organizational performance …

Digital twin simulation tools, spatial cognition algorithms, and multi-sensor fusion technology in sustainable urban governance networks

E Nica, GH Popescu, M Poliak, T Kliestik, OM Sabie - Mathematics, 2023 - mdpi.com
Relevant research has investigated how predictive modeling algorithms, deep-learning-
based sensing technologies, and big urban data configure immersive hyperconnected …

Virtual marketplace dynamics data, spatial analytics, and customer engagement tools in a real-time interoperable decentralized metaverse

K Valaskova, V Machova, E Lewis - Linguistic and Philosophical …, 2022 - ceeol.com
Despite the relevance of virtual marketplace dynamics data, spatial analytics, and customer
engagement tools in a real-time interoperable decentralized metaverse, only limited …

Augmented reality shopping experiences, retail business analytics, and machine vision algorithms in the virtual economy of the metaverse

GH Popescu, K Valaskova, J Horak - Journal of Self-Governance and …, 2022 - ceeol.com
The purpose of this study is to examine augmented reality shopping experiences, retail
business analytics, and machine vision algorithms in the virtual economy of the metaverse …