From corrective to predictive maintenance—A review of maintenance approaches for the power industry
Appropriate maintenance of industrial equipment keeps production systems in good health
and ensures the stability of production processes. In specific production sectors, such as the …
and ensures the stability of production processes. In specific production sectors, such as the …
Autonomous guided vehicles for smart industries–the state-of-the-art and research challenges
Abstract Autonomous Guided Vehicles (AGVs) are considered to be one of the critical
enabling technologies for smart manufacturing. This paper focus on the application of AGVs …
enabling technologies for smart manufacturing. This paper focus on the application of AGVs …
[HTML][HTML] Fall detection in older adults with mobile IoT devices and machine learning in the cloud and on the edge
Remote monitoring of older adults and detecting dangers in the state of human health have
become essential elements of modern telemedicine. Falls are a frequent reason for deaths …
become essential elements of modern telemedicine. Falls are a frequent reason for deaths …
Data lake lambda architecture for smart grids big data analytics
The advances in smart grids are enabling huge amount of data to be aggregated and
analyzed for various smart grid applications. However, the traditional smart grid data …
analyzed for various smart grid applications. However, the traditional smart grid data …
Predictive maintenance of boiler feed water pumps using SCADA data
M Moleda, A Momot, D Mrozek - Sensors, 2020 - mdpi.com
IoT enabled predictive maintenance allows companies in the energy sector to identify
potential problems in the production devices far before the failure occurs. In this paper, we …
potential problems in the production devices far before the failure occurs. In this paper, we …
An approach to extracting complex knowledge patterns among concepts belonging to structured, semi-structured and unstructured sources in a data lake
In this paper, we propose a new network-based model to uniformly represent the structured,
semi-structured and unstructured sources of a data lake, which is one of the newest and …
semi-structured and unstructured sources of a data lake, which is one of the newest and …
Cloud DATA LAKE: The new trend of data storage
In databases field, the term Data Lake is increasingly common, which is a new raw data
storage technology to undergo further advanced processing and analysis. Today there are …
storage technology to undergo further advanced processing and analysis. Today there are …
[HTML][HTML] A fuzzy-based medical system for pattern mining in a distributed environment: Application to diagnostic and co-morbidity
In this paper we have addressed the extraction of hidden knowledge from medical records
using data mining techniques such as association rules in conjunction with fuzzy logic in a …
using data mining techniques such as association rules in conjunction with fuzzy logic in a …
The implementation of data storage and analytics platform for big data lake of electricity usage with spark
Electricity data could generate a large number of records from smart meter day by day. The
traditional architecture might not properly handle the increasingly dynamic data that need …
traditional architecture might not properly handle the increasingly dynamic data that need …
PSBP-SVM: a machine learning-based computational identifier for predicting polystyrene binding peptides
C Meng, Y Hu, Y Zhang, F Guo - Frontiers in bioengineering and …, 2020 - frontiersin.org
Polystyrene binding peptides (PSBPs) play a key role in the immobilization process. The
correct identification of PSBPs is the first step of all related works. In this paper, we proposed …
correct identification of PSBPs is the first step of all related works. In this paper, we proposed …