Application of internet of things (iot) in sustainable supply chain management
The traditional supply chain system included smart objects to enhance intelligence,
automation capabilities, and intelligent decision-making. Internet of Things (IoT) …
automation capabilities, and intelligent decision-making. Internet of Things (IoT) …
Remote big data management tools, sensing and computing technologies, and visual perception and environment map** 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 …
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 …
Research background: With increasing evidence of cognitive technologies progressively
inte-grating themselves at all levels of the manufacturing enterprises, there is an …
inte-grating themselves at all levels of the manufacturing enterprises, there is an …
Big data management algorithms, deep learning-based object detection technologies, and geospatial simulation and sensor fusion tools in the internet of robotic …
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 …
the Internet of Robotic Things (IoRT) and integrate the insights it articulates on big data …
Live shop** in the metaverse: Visual and spatial analytics, cognitive artificial intelligence techniques and algorithms, and immersive digital simulations
The purpose of this study is to examine live shop** in the metaverse in terms of visual and
spatial analytics, cognitive artificial intelligence techniques and algorithms, and immersive …
spatial analytics, cognitive artificial intelligence techniques and algorithms, and immersive …
Deep learning and artificial intelligence in sustainability: a review of SDGs, renewable energy, and environmental health
Artificial intelligence (AI) and deep learning (DL) have shown tremendous potential in
driving sustainability across various sectors. This paper reviews recent advancements in AI …
driving sustainability across various sectors. This paper reviews recent advancements in AI …
Data-driven machine learning and neural network algorithms in the retailing environment: Consumer engagement, experience, and purchase behaviors
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 …
driven machine learning and neural network algorithms in the retailing environment. In this …
Computer vision algorithms, remote sensing data fusion techniques, and map** and navigation tools in the Industry 4.0-based Slovak automotive sector
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 …
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 …
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 …
implementation in European small-and medium-sized enterprises (SMEs). The purpose of …
Digital twin simulation tools, spatial cognition algorithms, and multi-sensor fusion technology in sustainable urban governance networks
Relevant research has investigated how predictive modeling algorithms, deep-learning-
based sensing technologies, and big urban data configure immersive hyperconnected …
based sensing technologies, and big urban data configure immersive hyperconnected …