Skip to content
View nicola98zambelli's full-sized avatar
  • Università degli studi di Bergamo

Block or report nicola98zambelli

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Football-Soccer-handball-classifier Football-Soccer-handball-classifier Public

    This small project tries to implement a machine learning algorithm for the classification / identification of handballs in football (soccer) in order to be able to help the referee to make a decisi…

    Python

  2. lamferzon/NYC-bike-sharing-analysis lamferzon/NYC-bike-sharing-analysis Public

    Statistical analysis of Jersey City bike sharing data using spatio-temporal models.

    MATLAB 2 1

  3. How-our-lifestyle-can-cause-obesity How-our-lifestyle-can-cause-obesity Public

    Obesity is now officially identified as a global epidemic, considered one of the greatest health problems of the 21st century. Since 1975 the worldwide prevalence of obesity has almost tripled and …

    R

  4. EnvirormentalMonitoring EnvirormentalMonitoring Public

    This project has the purpose to design an IoT-edge-cloud-computing software architecture applied to the enviromental monitoring. The main goal is to let the system to be autonomous and to reach a h…

    C

  5. Simulazione-coda-di-reti-B-erlang Simulazione-coda-di-reti-B-erlang Public

    un software di simulazione di una rete che riceve pacchetti con arrivi markoviani e li gestisce secondo distribuzioni di poisson, deterministiche o erlangiane di ordine 2, il sistema calcola la B-e…

    C++

  6. PLS-for-fault-detection PLS-for-fault-detection Public

    the PLS allows both to classify the types of faults and to reduce the dimensionality of the problem by trying to maximize the covariance between X and Y, useful in supervised learning.

    MATLAB 3 2