Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

T Ahmad, D Zhang, C Huang, H Zhang, N Dai… - Journal of Cleaner …, 2021 - Elsevier
The energy industry is at a crossroads. Digital technological developments have the
potential to change our energy supply, trade, and consumption dramatically. The new …

Convergence of edge computing and deep learning: A comprehensive survey

X Wang, Y Han, VCM Leung, D Niyato… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Ubiquitous sensors and smart devices from factories and communities are generating
massive amounts of data, and ever-increasing computing power is driving the core of …

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 …

A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs-A review and empirical investigation

SS Kamble, A Gunasekaran, A Ghadge… - International journal of …, 2020 - Elsevier
The smart manufacturing systems (SMS) offer several advantages compared to the
traditional manufacturing systems and are increasingly being adopted by manufacturing …

A survey of recent advances in edge-computing-powered artificial intelligence of things

Z Chang, S Liu, X **ong, Z Cai… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …

Artificial intelligence and economic development: An evolutionary investigation and systematic review

Y Qin, Z Xu, X Wang, M Skare - Journal of the Knowledge Economy, 2024 - Springer
In today's environment of the rapid rise of artificial intelligence (AI), debate continues about
whether it has beneficial effects on economic development. However, there is only a …

Recent advances in wearable electromechanical sensors—Moving towards machine learning-assisted wearable sensing systems

N Dai, IM Lei, Z Li, Y Li, P Fang, J Zhong - Nano Energy, 2023 - Elsevier
With the assistance of powerful machine learning algorithms, data collecting and processing
efficiency of wearable electromechanical sensors are highly improved. Meanwhile, the …

The duo of artificial intelligence and big data for industry 4.0: Applications, techniques, challenges, and future research directions

SK Jagatheesaperumal, M Rahouti… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The increasing need for economic, safe, and sustainable smart manufacturing combined
with novel technological enablers has paved the way for artificial intelligence (AI) and big …

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 …

RETRACTED: Intelligent edge computing based on machine learning for smart city

Z Lv, D Chen, R Lou, Q Wang - 2021 - Elsevier
Concern has been raised about authorship irregularities in this paper (removal and addition
of authors at different stages of the publication process after submission). Changing authors …