Active learning for industrial applications
Sign Up to like & getrecommendations! Published in 2024 at "Quality Engineering"
DOI: 10.1080/08982112.2024.2402376
Abstract: Abstract Industrial data is often available only in an unlabeled form as obtaining the label (the response) for the input data can be a challenging and time-consuming task. This Quality Quandaries provides an overview of… read more here.
Keywords: active learning; case; learning industrial; industrial applications ... See more keywords
Investigation and Empirical Analysis of Transfer Learning for Industrial IoT Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3499741
Abstract: The Industrial Internet of Things Networks (IIoT-N) have revolutionized industrial systems by connecting sensors, devices, and data analytics, creating complex, data-driven environments. However, key challenges persist, such as data diversity, scalability issues, sparse data, anomaly… read more here.
Keywords: transfer learning; empirical analysis; transfer; investigation empirical ... See more keywords
Distribution Bias Aware Collaborative Generative Adversarial Network for Imbalanced Deep Learning in Industrial IoT
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3170149
Abstract: The impact of Internet of Things (IoT) has become increasingly significant in smart manufacturing, while deep generative model (DGM) is viewed as a promising learning technique to work with large amount of continuously generated industrial… read more here.
Keywords: distribution; distribution bias; industrial iot; learning industrial ... See more keywords
Decentralized Federated Learning for Industrial IoT With Deep Echo State Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3194627
Abstract: Federated learning (FL) has recently been adopted to train shared models across industrial Internet of Things (IoT) devices without revealing their private raw data. Conventional FL usually relies on a central server for coordination. However,… read more here.
Keywords: iot deep; deep echo; federated learning; decentralized federated ... See more keywords
Insights into the Application of Machine Learning in Industrial Risk Assessment: A Bibliometric Mapping Analysis
Sign Up to like & getrecommendations! Published in 2023 at "Sustainability"
DOI: 10.3390/su15086965
Abstract: Risk assessment is of great significance in industrial production and sustainable development. Great potential is attributed to machine learning in industrial risk assessment as a promising technology in the fields of computer science and the… read more here.
Keywords: machine; risk assessment; machine learning; learning industrial ... See more keywords