Application of internet of things (iot) in sustainable supply chain management

Y Khan, MBM Su'ud, MM Alam, SF Ahmad… - Sustainability, 2022 - mdpi.com
The traditional supply chain system included smart objects to enhance intelligence,
automation capabilities, and intelligent decision-making. Internet of Things (IoT) …

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 …

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 …

Live shopping in the metaverse: Visual and spatial analytics, cognitive artificial intelligence techniques and algorithms, and immersive digital simulations

T Kliestik, A Novak, G Lăzăroiu - Linguistic and Philosophical …, 2022 - ceeol.com
The purpose of this study is to examine live shopping in the metaverse in terms of visual and
spatial analytics, cognitive artificial intelligence techniques and algorithms, and immersive …

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 …

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 …

Data-driven machine learning and neural network algorithms in the retailing environment: Consumer engagement, experience, and purchase behaviors

T Kliestik, K Zvarikova, G Lăzăroiu - Economics, Management and …, 2022 - ceeol.com
Based on an in-depth survey of the literature, the purpose of the paper is to explore data-
driven machine learning and neural network algorithms in the retailing environment. In this …

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 …

Deep learning and artificial intelligence in sustainability: a review of SDGs, renewable energy, and environmental health

Z Fan, Z Yan, S Wen - Sustainability, 2023 - mdpi.com
Artificial intelligence (AI) and deep learning (DL) have shown tremendous potential in
driving sustainability across various sectors. This paper reviews recent advancements in AI …

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 …