Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities
The energy industry is at a crossroads. Digital technological developments have the
potential to change our energy supply, trade, and consumption dramatically. The new …
potential to change our energy supply, trade, and consumption dramatically. The new …
Convergence of edge computing and deep learning: A comprehensive survey
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 …
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 …
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 …
A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs-A review and empirical investigation
The smart manufacturing systems (SMS) offer several advantages compared to the
traditional manufacturing systems and are increasingly being adopted by manufacturing …
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 Xiong, 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 …
multitude of wired and wireless sensors generating a variety of heterogeneous data over …
Recent advances in wearable electromechanical sensors—Moving towards machine learning-assisted wearable sensing systems
With the assistance of powerful machine learning algorithms, data collecting and processing
efficiency of wearable electromechanical sensors are highly improved. Meanwhile, the …
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 …
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 …
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …
Intelligent edge computing based on machine learning for smart city
To alleviate the huge computing pressure caused by the single mobile edge server
computing mode as the amount of data increases, in this research, we propose a method to …
computing mode as the amount of data increases, in this research, we propose a method to …
BIM-enabled computerized design and digital fabrication of industrialized buildings: A case study
Industrialized construction leverages factory-based manufacturing and lean-site assembly to
achieve higher industrial efficiency. Building information modeling (BIM) offers new …
achieve higher industrial efficiency. Building information modeling (BIM) offers new …