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 …
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 …
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 …
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 …
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
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 …
[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 …
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 …
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
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 …
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 …
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 …
(MLP) artificial neural network (ANN) oriented to predictive diagnostic and to automated …