A systematic mapping study of predictive maintenance in SMEs
The rapid growth of Industry 4.0 and predictive methods fostered a great potential for state-of-
the-art techniques in the industrial sector, especially in smart factories. The equipment …
the-art techniques in the industrial sector, especially in smart factories. The equipment …
[HTML][HTML] Towards improving prediction accuracy and user-level explainability using deep learning and knowledge graphs: A study on cassava disease
TR Chhetri, A Hohenegger, A Fensel, MA Kasali… - Expert Systems with …, 2023 - Elsevier
Food security is currently a major concern due to the growing global population, the
exponential increase in food demand, the deterioration of soil quality, the occurrence of …
exponential increase in food demand, the deterioration of soil quality, the occurrence of …
[PDF][PDF] Semantic Web and its Role in Facilitating ICT Data Sharing for the Circular Economy: State of the Art Survey
The exponentially growing digitisation of services that drive the transition from industry 4.0 to
industry 5.0 has resulted in a rising materials demand for ICT hardware manufacturing. The …
industry 5.0 has resulted in a rising materials demand for ICT hardware manufacturing. The …
Cost aware LSTM model for predicting hard disk drive failures based on extremely imbalanced SMART sensors data
J Ahmed, RC Green II - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Failure prediction in a population of hard drives remains challenging due to the extreme
class imbalance. Many existing failure prediction methods rely on problematic resampling …
class imbalance. Many existing failure prediction methods rely on problematic resampling …
[HTML][HTML] SWEP-RF: Accuracy sliding window-based ensemble pruning method for latent sector error prediction in cloud storage computing
Latent sector errors (LSEs) in disk drives cause significant outages, data loss, and
unreliability in large-scale cloud storage systems. Predicting LSEs can help avoid these …
unreliability in large-scale cloud storage systems. Predicting LSEs can help avoid these …
Automated GDPR contract compliance verification using knowledge graphs
In the past few years, the main research efforts regarding General Data Protection
Regulation (GDPR)-compliant data sharing have been focused primarily on informed …
Regulation (GDPR)-compliant data sharing have been focused primarily on informed …
Semantic Web and its role in facilitating ICT data sharing for the circular economy: An ontology survey
The environmental pressure, CO 2 emissions (including embodied energy) and delivery
risks of our digital infrastructures are increasing. The exponentially growing digitisation of …
risks of our digital infrastructures are increasing. The exponentially growing digitisation of …
[HTML][HTML] Enabling privacy-aware interoperable and quality IoT data sharing with context
Abstract Sharing Internet of Things (IoT) data across different sectors, such as in smart cities,
becomes complex due to heterogeneity. This poses challenges related to a lack of …
becomes complex due to heterogeneity. This poses challenges related to a lack of …
A combined system metrics approach to cloud service reliability using artificial intelligence
Identifying and anticipating potential failures in the cloud is an effective method for
increasing cloud reliability and proactive failure management. Many studies have been …
increasing cloud reliability and proactive failure management. Many studies have been …
What is in your cookie box? Explaining ingredients of web cookies with knowledge graphs
G Bushati, SC Rasmusen, A Kurteva, A Vats… - Semantic …, 2023 - content.iospress.com
The General Data Protection Regulation (GDPR) has imposed strict requirements for data
sharing, one of which is informed consent. A common way to request consent online is via …
sharing, one of which is informed consent. A common way to request consent online is via …