Edge computing in industrial internet of things: Architecture, advances and challenges

T Qiu, J Chi, X Zhou, Z Ning… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
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 …

Intelligent manufacturing execution systems: A systematic review

A Shojaeinasab, T Charter, M Jalayer, M Khadivi… - Journal of Manufacturing …, 2022 - Elsevier
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 …

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 …

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) …

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 …

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 …

Edge computing: current trends, research challenges and future directions

G Carvalho, B Cabral, V Pereira, J Bernardino - Computing, 2021 - Springer
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 …

An artificial intelligence-based collaboration approach in industrial iot manufacturing: Key concepts, architectural extensions and potential applications

P Trakadas, P Simoens, P Gkonis, L Sarakis… - Sensors, 2020 - mdpi.com
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 …

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 …

Disruptive technologies in smart farming: an expanded view with sentiment analysis

S Yadav, A Kaushik, M Sharma, S Sharma - AgriEngineering, 2022 - mdpi.com
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 …