Predictive maintenance planning for industry 4.0 using machine learning for sustainable manufacturing
With the advent of the fourth industrial revolution, the application of artificial intelligence in
the manufacturing domain is becoming prevalent. Maintenance is one of the important …
the manufacturing domain is becoming prevalent. Maintenance is one of the important …
A study of optimization in deep neural networks for regression
Due to rapid development in information technology in both hardware and software, deep
neural networks for regression have become widely used in many fields. The optimization of …
neural networks for regression have become widely used in many fields. The optimization of …
Real-time data-driven dynamic scheduling for flexible job shop with insufficient transportation resources using hybrid deep Q network
Y Li, W Gu, M Yuan, Y Tang - Robotics and Computer-Integrated …, 2022 - Elsevier
With the extensive application of automated guided vehicles in manufacturing system,
production scheduling considering limited transportation resources becomes a difficult …
production scheduling considering limited transportation resources becomes a difficult …
Deep learning-based transfer learning for classification of skin cancer
One of the major health concerns for human society is skin cancer. When the pigments
producing skin color turn carcinogenic, this disease gets contracted. A skin cancer diagnosis …
producing skin color turn carcinogenic, this disease gets contracted. A skin cancer diagnosis …
Adopting a deep learning split-protocol based predictive maintenance management system for industrial manufacturing operations
This paper presents the best computational modeling (AI/ML and Quantum Computing)
methods to predict the performance optimization of predictive maintenance and …
methods to predict the performance optimization of predictive maintenance and …
Machine learning-supported manufacturing: a review and directions for future research
The evolution of manufacturing systems toward Industry 4.0 and 5.0 paradigms has pushed
the diffusion of Machine Learning (ML) in this field. As the number of articles using ML to …
the diffusion of Machine Learning (ML) in this field. As the number of articles using ML to …
Automated maintenance data classification using recurrent neural network: enhancement by spotted hyena-based whale optimization
Data classification has been considered extensively in different fields, such as machine
learning, artificial intelligence, pattern recognition, and data mining, and the expansion of …
learning, artificial intelligence, pattern recognition, and data mining, and the expansion of …
Modified gannet optimization algorithm for reducing system operation cost in engine parts industry with pooling management and transport optimization
Due to the emergence of technology, electric motors (EMs), an essential part of electric
vehicles (which basically act as engines), have become a pivotal component in modern …
vehicles (which basically act as engines), have become a pivotal component in modern …
Big data-based smart health monitoring system: using deep ensemble learning
Human life has become smarter by utilizing big data, telecommunication technologies, and
wearable sensors over pervasive computing to give better healthcare services. Big data is …
wearable sensors over pervasive computing to give better healthcare services. Big data is …
A data-driven scheduling knowledge management method for smart shop floor
Y Ma, S Li, F Qiao, X Lu, J Liu - International Journal of Computer …, 2022 - Taylor & Francis
The data-driven method has been widely used to mine knowledge from the smart shop
floors' production data to guide dynamic scheduling. However, the mined knowledge may be …
floors' production data to guide dynamic scheduling. However, the mined knowledge may be …