Edge computing in industrial internet of things: Architecture, advances and challenges
The Industrial Internet of Things (IIoT) is a crucial research field spawned by the Internet of
Things (IoT). IIoT links all types of industrial equipment through the network; establishes data …
Things (IoT). IIoT links all types of industrial equipment through the network; establishes data …
Intelligent manufacturing execution systems: A systematic review
The fast-growing demand for effective Industry 4.0-ready systems from academics and
practitioners has required an assessment of the state-of-the-art research and …
practitioners has required an assessment of the state-of-the-art research and …
Developing digital transformation strategy for manufacturing
S Albukhitan - Procedia computer science, 2020 - Elsevier
The digital era is characterized by fast development, growth, innovation, and disruption.
Organizations that want to survive must be ready to adapt to the new digital landscape. The …
Organizations that want to survive must be ready to adapt to the new digital landscape. The …
Boost precision agriculture with unmanned aerial vehicle remote sensing and edge intelligence: A survey
J Liu, J Xiang, Y Jin, R Liu, J Yan, L Wang - Remote Sensing, 2021 - mdpi.com
In recent years unmanned aerial vehicles (UAVs) have emerged as a popular and cost-
effective technology to capture high spatial and temporal resolution remote sensing (RS) …
effective technology to capture high spatial and temporal resolution remote sensing (RS) …
Towards edge computing in intelligent manufacturing: Past, present and future
G Nain, KK Pattanaik, GK Sharma - Journal of Manufacturing Systems, 2022 - Elsevier
Abstract Industry 4.0 (I4. 0) is the fourth industrial revolution and a synonym for intelligent
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …
Practical application of the Industry 4.0 concept in a steel company
R Miśkiewicz, R Wolniak - Sustainability, 2020 - mdpi.com
The primary aim of this paper was to present and analyze practical solutions of Industry 4.0
as applied in the Re Alloys company. The research question was whether the …
as applied in the Re Alloys company. The research question was whether the …
Edge computing: current trends, research challenges and future directions
The edge computing (EC) paradigm brings computation and storage to the edge of the
network where data is both consumed and produced. This variation is necessary to cope …
network where data is both consumed and produced. This variation is necessary to cope …
An artificial intelligence-based collaboration approach in industrial iot manufacturing: Key concepts, architectural extensions and potential applications
The digitization of manufacturing industry has led to leaner and more efficient production,
under the Industry 4.0 concept. Nowadays, datasets collected from shop floor assets and …
under the Industry 4.0 concept. Nowadays, datasets collected from shop floor assets and …
IoT provisioning QoS based on cloud and fog computing
FEF Samann, SRM Zeebaree, S Askar - Journal of Applied Science and …, 2021 - jastt.org
The wide-spread Internet of Things (IoT) utilization in almost every scope of our life made it
possible to automate daily life tasks with no human intervention. This promising technology …
possible to automate daily life tasks with no human intervention. This promising technology …
Disruptive technologies in smart farming: an expanded view with sentiment analysis
Smart Farming (SF) is an emerging technology in the current agricultural landscape. The
aim of Smart Farming is to provide tools for various agricultural and farming operations to …
aim of Smart Farming is to provide tools for various agricultural and farming operations to …