Lorenzo Pasco's repositories
fallen-people-detection
Thesis work in which we will study and develop visual techniques for automatic detection of fallen people that leverage the latest artificial intelligence and deep learning technologies.
secure-messaging
Secure messaging application developed for Foundations of Cybersecurity course of the MSc AIDE at the University of Pisa.
CNN-medical-imaging-analysis
This project has the aim to detect abnormality in mammography, using a CNN trained from scratch, a pretrained CNN and an Ensamble methodology to notice any improvements
dremio-oss
Dremio - the missing link in modern data
football-analytics
The aim of this application is to show the statistics about football players using a NoSQL database, in particular a graph database as Neo4j.
jaffle-shop-classic
A self-contained dbt project for testing purposes
k-means-hadoop-spark
This Cloud Computing project is an implementation of the k-means algorithm with a MapReuce technique. First we have implemented this with Hadoop and then with Spark.
predicted-market-value
The aim of this data mining application is to predict the player’s market value in base of the statistics obtained in the last season from about 10.000 players. We have used Weka API to perform prediction.
smart-orchard
The aim of this IoT project is to implement a smart orchard thanks to sensor and actuator using contiki-ng system to virtualize the environment. To control them, it is used a Cloud Computing application using Californium.
quantized-neural-network
Implementation of a Quantized Neural Network with low bitwidth of weights, activations and gradients.