• Login
    Sfoglia per Soggetto 
    •   Unical - archivio istituzionale delle tesi di dottorato
    • Sfoglia per Soggetto
    •   Unical - archivio istituzionale delle tesi di dottorato
    • Sfoglia per Soggetto
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Sfoglia per Soggetto "Machine learning"

    • 0-9
    • A
    • B
    • C
    • D
    • E
    • F
    • G
    • H
    • I
    • J
    • K
    • L
    • M
    • N
    • O
    • P
    • Q
    • R
    • S
    • T
    • U
    • V
    • W
    • X
    • Y
    • Z

    Ordina per:

    Ordine:

    Risultati:

    Items 1-7 di 7

    • Titolo
    • Data di pubblicazione
    • Data di immissione
    • crescente
    • decrescente
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
    • Arsenic Ore Mixture Froth Image Generation with Neural Networks and a Language for Declarative Data Validation 

      Zamayla, Arnel; Greco, Gianluigi; Alviano, Mario; Dodaro, Carmine (Università della Calabria, 2022-04-14)
      Computer vision systems that measure froth flow velocities and stability designed for flotation froth image analysis are well established in industry, as they are used to control material recovery. However flotation ...
    • A comparative study of reconstruction methods for neutron tomography 

      Micieli, Davide; Carbone, Vincenzo; Gorini, Giuseppe; Tassi, Enrico (Università della Calabria, 2020-01-24)
      Neutron tomography is a well established technique to non-destructively investigate the inner structure of a wide range of objects. The main disadvantages of this technique are the time-consuming data acquisition, which ...
    • Ensemble learning techniques for cyber security applications 

      Pisani, Francesco Sergio; Crupi, Felice; Folino, Gianluigi (2017-07-13)
      Cyber security involves protecting information and systems from major cyber threats; frequently, some high-level techniques, such as for instance data mining techniques, are be used to efficiently fight, alleviate the ...
    • Identification of Brain Structures and Functional Cortico - Muscular Networks: Machine Learning Object Recognition and Network Physiology Approach 

      Rizzo, Rossella; Critelli, Salvatore; Pantano, Pietro; Ivanov, Plamen (Università della Calabria, 2020-03-05)
      The brain is the most complex part in the human body. This organ is responsible for our intelligence, interpreting sensation, initiating body movement, and controlling all of our behaviors. Over hundreds of years, scientists ...
    • Seamless acceleratin numerical regular grid methods on manycore systems 

      Spataro, Davide; Leone, Nicola; Spataro, William; D'Ambrosio, Donato (2018-01-19)
      Over the last two decades, a lot has changed regarding the way modern scientific applications are designed, written and executed, especially in the field of data-analytics, scientific computing and visualization. Dedicated ...
    • Technologies and IoT Protocols applied to Energy Management in Smart Home Environment 

      Serianni, Abdon; De Ranco, Floriano (Università della Calabria, 2021-09-13)
      This thesis presents the studies during this period of my PhD course. In the first research period, I focused the activities principally on the study and analysis of the protocols and technologies used for the IoT solutions ...
    • User behavioral problems in complex social networks 

      Perna, Diego; Tagarelli, Andrea; Crupi, Felice (2019-06-20)
      Over the past two decades, we witnessed the advent and the rapid growth of numerous social networking platforms. Their pervasive diffusion dramatically changed the way we communicate and socialize with each other. They ...

    Policy e regolamenti
    Copyright © Università della Calabria - Sistema Bibliotecario di Ateneo - Servizio Automazione Biblioteche | DSpace 6.3
    Contattaci
    Theme by 
    @mire NV
     

     

    Ricerca

    Esplora perArchivi & CollezioniData di pubblicazioneAutoriTitoliSoggetti

    My Account

    LoginRegistrazione

    Policy e regolamenti
    Copyright © Università della Calabria - Sistema Bibliotecario di Ateneo - Servizio Automazione Biblioteche | DSpace 6.3
    Contattaci
    Theme by 
    @mire NV