Re-engineering process in a food factory: an overview of technologies and approaches for the design of pasta production processes

A Massaro, A Galiano - Production & Manufacturing Research, 2020 - Taylor & Francis
In this paper are investigated the re-engineering approaches for the optimization of pasta
production processes. A preliminary study of technologies and information systems …

The State‐of‐the‐Art of Knowledge‐Intensive Agriculture: A Review on Applied Sensing Systems and Data Analytics

B Basnet, J Bang - Journal of Sensors, 2018 - Wiley Online Library
The application of sensors and information and communication technology (ICT) in
agriculture has played a vital role in improving agricultural production and the value chain …

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 …

Supporting SME companies in mapping out AI potential: a Finnish AI development case

P Jafarzadeh, T Vähämäki, P Nevalainen… - The Journal of …, 2024 - Springer
Products and services relying upon Artificial Intelligence (AI) have moved from mere
concepts to reality. However, challenges still exist in applying AI technologies to traditional …

A study of a health resources management platform integrating neural networks and DSS telemedicine for homecare assistance

A Massaro, V Maritati, N Savino, A Galiano… - Information, 2018 - mdpi.com
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 …

[PDF][PDF] Data Mining model performance of sales predictive algorithms based on RapidMiner workflows

A Massaro, V Maritati, A Galiano - International Journal of Computer …, 2018 - academia.edu
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 …

Preparing students to meet their data: an evaluation of K-12 data science tools

R Israel-Fishelson, PF Moon, R Tabak… - Behaviour & …, 2023 - Taylor & Francis
Data science education has gained momentum in recent years. Along with the development
of curricula to teach data science, the number and diversity of tools for introducing data …

Auto-ML cyber security data analysis using Google, Azure and IBM Cloud Platforms

E Opara, H Wimmer… - … Conference on Electrical …, 2022 - ieeexplore.ieee.org
Machine Learning can be used with cybersecurity data to protect organizations by using
artificial intelligence (AI) to generate rules and models for thread detection. Cloud platforms …

Analyzing performance of students by using data mining techniques a literature survey

S Roy, A Garg - 2017 4th IEEE Uttar Pradesh Section …, 2017 - ieeexplore.ieee.org
With the birth of new technologies which can harness data associated with education, the
field of Educational Data Mining (EDM) has bloomed. EDM is a research area which uses …

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 …