Machine Learning for industrial applications: A comprehensive literature review
M Bertolini, D Mezzogori, M Neroni… - Expert Systems with …, 2021 - Elsevier
Abstract Machine Learning (ML) is a branch of artificial intelligence that studies algorithms
able to learn autonomously, directly from the input data. Over the last decade, ML …
able to learn autonomously, directly from the input data. Over the last decade, ML …
Data and knowledge mining with big data towards smart production
Driven by the innovative improvement of information and communication technologies
(ICTs) and their applications into manufacturing industry, the big data era in manufacturing is …
(ICTs) and their applications into manufacturing industry, the big data era in manufacturing is …
Performance analysis of IoT-based sensor, big data processing, and machine learning model for real-time monitoring system in automotive manufacturing
With the increase in the amount of data captured during the manufacturing process,
monitoring systems are becoming important factors in decision making for management …
monitoring systems are becoming important factors in decision making for management …
Deep convolutional neural networks enable discrimination of heterogeneous digital pathology images
Pathological evaluation of tumor tissue is pivotal for diagnosis in cancer patients and
automated image analysis approaches have great potential to increase precision of …
automated image analysis approaches have great potential to increase precision of …
Understanding big data analytics for manufacturing processes: insights from literature review and multiple case studies
Today, we are undoubtedly in the era of data. Big Data Analytics (BDA) is no longer a
perspective for all level of the organization. This is of special interest in the manufacturing …
perspective for all level of the organization. This is of special interest in the manufacturing …
A review and analysis of automatic optical inspection and quality monitoring methods in electronics industry
M Abd Al Rahman, A Mousavi - Ieee Access, 2020 - ieeexplore.ieee.org
Electronics industry is one of the fastest evolving, innovative, and most competitive
industries. In order to meet the high consumption demands on electronics components …
industries. In order to meet the high consumption demands on electronics components …
A high-performance deep learning algorithm for the automated optical inspection of laser welding
Y Yang, L Pan, J Ma, R Yang, Y Zhu, Y Yang, L Zhang - Applied Sciences, 2020 - mdpi.com
The battery industry has been growing fast because of strong demand from electric vehicle
and power storage applications. Laser welding is a key process in battery manufacturing. To …
and power storage applications. Laser welding is a key process in battery manufacturing. To …
Cloud-based fault prediction for real-time monitoring of sensor data in hospital environment using machine learning
The amount of data captured is expanding day by day which leads to the need for a
monitoring system that helps in decision making. Current technologies such as cloud …
monitoring system that helps in decision making. Current technologies such as cloud …
Business Intelligence in Industry 4.0: State of the art and research opportunities
Data collection and analysis have been at the core of business intelligence (BI) for many
years, but traditional BI must be adapted for the large volume of data coming from Industry …
years, but traditional BI must be adapted for the large volume of data coming from Industry …
Smart manufacturing real-time analysis based on blockchain and machine learning approaches
Z Shahbazi, YC Byun - Applied Sciences, 2021 - mdpi.com
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 …
become an essential concept for decision-making and management. The recent powerful …