Artificial intelligence as an enabler of quick and effective production repurposing: an exploratory review and future research propositions
The outbreak of Covid-19 created disruptions in manufacturing operations. One of the most
serious negative impacts is the shortage of critical medical supplies. Manufacturing firms …
serious negative impacts is the shortage of critical medical supplies. Manufacturing firms …
Artificial intelligence in biological sciences
Artificial intelligence (AI), currently a cutting-edge concept, has the potential to improve the
quality of life of human beings. The fields of AI and biological research are becoming more …
quality of life of human beings. The fields of AI and biological research are becoming more …
A critical review on applications of artificial intelligence in manufacturing
The fourth industrial revolution, Industry 4.0, has brought internet, artificial intelligence (AI),
and machine learning (ML) concepts into manufacturing. There is an immediate need to …
and machine learning (ML) concepts into manufacturing. There is an immediate need to …
A review of physics-based models in prognostics and health management of laminated composite structures
This article reports on the physics-based models for the diagnosis (detection, isolation,
localization, and quantification of damages) and prognosis (prediction of the future evolution …
localization, and quantification of damages) and prognosis (prediction of the future evolution …
Data-driven methods for predicting the state of health, state of charge, and remaining useful life of li-ion batteries: A comprehensive review
Lithium-ion batteries are widely used in electric vehicles, electronic devices, and energy
storage systems owing to their high energy density, long life, and outstanding performance …
storage systems owing to their high energy density, long life, and outstanding performance …
Machine learning for object recognition in manufacturing applications
Feature recognition and manufacturability analysis from computer-aided design (CAD)
models are indispensable technologies for better decision making in manufacturing …
models are indispensable technologies for better decision making in manufacturing …
Recent advances, Challenges in Applying Artificial Intelligence and Deep Learning in the Manufacturing Industry
S Porwal, M Majid, SC Desai… - Pacific Business …, 2024 - search.proquest.com
Artificial intelligence (AI) and deep learning have emerged as transformative technologies in
the manufacturing industry, revolutionizing traditional processes and enhancing operational …
the manufacturing industry, revolutionizing traditional processes and enhancing operational …
Advances in Prognostics and Health Management for Aircraft Landing Gear—Progress, Challenges, and Future Possibilities
Prognostics and health management (PHM) has developed into a crucial discipline because
of its never-ending pursuit of safety, effectiveness, and dependability. The aircraft Landing …
of its never-ending pursuit of safety, effectiveness, and dependability. The aircraft Landing …
An Interrogative Survey of Explainable AI in Manufacturing
Z Alexander, DH Chau… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) is a driving force behind Industry 4.0 in manufacturing. Specifically,
machine learning has been applied to all parts of the manufacturing process: from product …
machine learning has been applied to all parts of the manufacturing process: from product …
Prediction of tool tip dynamics through machine learning and inverse receptance coupling
The monitoring of cutting forces during machining operations can provide information
pertaining to tool wear and deflection. The cutting forces are influenced by the cutting …
pertaining to tool wear and deflection. The cutting forces are influenced by the cutting …