Smart manufacturing systems are growing based on the various requests for predicting the reliability and quality of equipment. Many machine learning techniques are being examined …
JA Malik, M Saleem - … for Embedded and Cyber-Physical Systems, 2022 - taylorfrancis.com
Smart manufacturing systems grow based on multiple demands to predict equipment reliability and quality. To this end, many machine learning techniques are examined. Data …
The growth of data production in the manufacturing industry causes the monitoring system to become an essential concept for decision-making and management. The recent powerful …
N Hasan, K Chaudhary, M Alam - Multimedia Tools and Applications, 2022 - Springer
Blockchains are costly in terms of computing and involve high overhead bandwidth and delays that are not suitable for smart appliances. Enhancing the precision of output, quality …
Featured Application A potential application of the work concerns the development of secure IIoT architectures for smart manufacturing using blockchain technology and machine …
The white crystal sugar agro-industry is an industry with dynamic characteristics characterized by a sustainable relationship between actors ranging from farmers to …
This paper seeks to use artificial intelligence blockchain algorithms to ensure safe verification of medical institution PHR data and accurate verification of medical data as …
Nowadays, the computerisation and information systems need very fast, easier and secure data analysis models. So, blockchain technology and deep learning concepts play important …
M Harini, D Dhinakaran, D Prabhu… - … on Communication & …, 2023 - ieeexplore.ieee.org
India's agriculture industry is diversified and has the capacity to feed the second-largest population in the world. Despite of its significance the existing agriculture methodology …