Re-engineering process in a food factory: an overview of technologies and approaches for the design of pasta production processes
In this paper are investigated the re-engineering approaches for the optimization of pasta
production processes. A preliminary study of technologies and information systems …
production processes. A preliminary study of technologies and information systems …
Predicting the occurrence of construction disputes using machine learning techniques
The construction industry is overwhelmed by an increasing number and severity of disputes.
The primary objective of this research is to predict the occurrence of disputes by utilizing …
The primary objective of this research is to predict the occurrence of disputes by utilizing …
Knowledge discovery from a more than a decade studies on healthcare Big Data systems: a scientometrics study
F Soleimani-Roozbahani, A Rajabzadeh Ghatari… - Journal of Big Data, 2019 - Springer
Annually, lots of research papers are published in scientific journals around the world. The
knowledge of the status of research is a prerequisite for research planning and policy …
knowledge of the status of research is a prerequisite for research planning and policy …
LSTM DSS automatism and dataset optimization for diabetes prediction
A Massaro, V Maritati, D Giannone, D Convertini… - Applied Sciences, 2019 - mdpi.com
Featured Application Implementation of DSS of patient management system based on LSTM
for homecare assistance. Abstract The paper is focused on the application of Long Short …
for homecare assistance. Abstract The paper is focused on the application of Long Short …
A study of a health resources management platform integrating neural networks and DSS telemedicine for homecare assistance
The proposed paper is related to a case of study of an e-health telemedicine system
oriented on homecare assistance and suitable for de-hospitalization processes. The …
oriented on homecare assistance and suitable for de-hospitalization processes. The …
Feasibility of machine learning in predicting features related to congenital nystagmus
Congenital nystagmus is an ocular-motor disease affecting people's visual acuity since their
first years of life. Electrooculography is used to perform eye tracking in these patients, giving …
first years of life. Electrooculography is used to perform eye tracking in these patients, giving …
[PDF][PDF] Data Mining model performance of sales predictive algorithms based on RapidMiner workflows
By applying RapidMiner workflows has been processed a dataset originated from different
data files, and containing information about the sales over three years of a large chain of …
data files, and containing information about the sales over three years of a large chain of …
Neural networks for automated smart health platforms oriented on heart predictive diagnostic big data systems
A Massaro, V Maritati, N Savino… - 2018 AEIT International …, 2018 - ieeexplore.ieee.org
The proposed study is related to an experimental application of a multilayer perceptron
(MLP) artificial neural network (ANN) oriented to predictive diagnostic and to automated …
(MLP) artificial neural network (ANN) oriented to predictive diagnostic and to automated …
Overview and application of enabling technologies oriented on energy routing monitoring, on network installation and on predictive maintenance
Energy routers are recent topics of interest for scientific community working on alternative
energy. Enabling technologies supporting installation and monitoring energy efficiency in …
energy. Enabling technologies supporting installation and monitoring energy efficiency in …
[PDF][PDF] ESB platform integrating KNIME data mining tool oriented on Industry 4.0 based on artificial neural network predictive maintenance
In this paper are discussed some results related to an industrial project oriented on the
integration of data mining tools into Enterprise Service Bus (ESB) platform. WSO2 ESB has …
integration of data mining tools into Enterprise Service Bus (ESB) platform. WSO2 ESB has …