Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Michele Valenti"'
Publikováno v:
PLoS ONE, Vol 13, Iss 10, p e0205975 (2018)
This paper presents preliminary results about Turin's air quality before, during and after the realization of the infrastructure projects for the Turin 2006 XX Winter Olympic Games. We compared the 3-year in-operam (work in progress) period (i.e. 200
Externí odkaz:
https://doaj.org/article/2853f4516ad045438c63dc0fc8fcb972
Autor:
Michele Valenti, Marco Severini, Lucio Ciabattoni, Marco Fagiani, Stefano Squartini, Francesco Ferracuti
Publikováno v:
Energy and Buildings. 171:131-143
In this paper a comprehensive residential Energy Management in python, rEMpy, is presented. The framework has a modular structure and the Optimal Scheduler, featuring a task scheduling logic and a configuration structure to represent different subsys
Autor:
Michele Valentino
Publikováno v:
Diségno, Iss 13 (2023)
Sebbene il primo social network risalga alla fine degli anni Settanta, probabilmente il vero e proprio ‘Big Bang’ si è verificato vent’anni fa, quando nel 2003 Mark Zuckerberg ha portato alla nascita di Facebook, ancora oggi uno dei social net
Externí odkaz:
https://doaj.org/article/f4f2398c0d5d4572ae792ba081d627d1
Publikováno v:
IJCNN
Non-intrusive load monitoring (NILM) is defined as the task of retrieving the active power consumption of two or more appliances from information gathered at a single metering point. In this work, the use of the reactive aggregate power as an additio
Publikováno v:
EUSIPCO
This paper presents and compares two algorithms based on artificial neural networks (ANNs) for sound event detection in real life audio. Both systems have been developed and evaluated with the material provided for the third task of the Detection and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dcc912ffd585806018338274f437f5f
Autor:
Stefano Squartini, Tuomas Virtanen, Aleksandr Diment, Michele Valenti, Giambattista Parascandolo
Publikováno v:
IJCNN
This paper presents a novel application of convolutional neural networks (CNNs) for the task of acoustic scene classification (ASC). We here propose the use of a CNN trained to classify short sequences of audio, represented by their log-mel spectrogr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98cba9fa9df572ed113c6ea5ed1eebb8
https://trepo.tuni.fi/handle/10024/129205
https://trepo.tuni.fi/handle/10024/129205
Autor:
Michele Valentino
Publikováno v:
Festival dell'Architettura Magazine, Vol 0, Iss 59-60, Pp 203-210 (2022)
Through exploring some of Kahn’s works, the essay aims to demonstrate the deep connection between drawing-diagrams and the realized work, where form materializes through the figuration of its simple patterns. To clarify this potential for listening
Externí odkaz:
https://doaj.org/article/0004a851538041a7be3c55fcb8d8be22
Autor:
Michele Valentino
Publikováno v:
img journal, Iss 5, Pp 196-215 (2021)
The crisis of the boundary line and the consequent determination of the peripheries from a geometric point of view entails a crisis in representing urban boundaries and thresholds, and therefore the peripheries themselves. In this regard, the ess
Externí odkaz:
https://doaj.org/article/fba324dc6a80404e9cb4c2eb3f10c74b
Autor:
Michele Valentino
Publikováno v:
Diségno, Iss 10 (2022)
Given the continuing emergency due to the Covid-19 pandemic, the Workshop 3D Modeling & BIM was held on 7 April 2022 for the third consecutive time on a telematics platform; this limitation, however, allowed for a more significant number of participa
Externí odkaz:
https://doaj.org/article/a2fdc510d2864a47ac0bf69277691ee7
Autor:
Michele Valentino, Enrico Cicalò
Publikováno v:
Disegnare con, Vol 13, Iss 24, Pp 1-25 (2020)
Nowadays, street art is one of the most common public art manifestations in bigger cities. However, there are case studies that show how this form of visual communication has a long history and can strengthen the capacity of the self-assertion also o
Externí odkaz:
https://doaj.org/article/cee4e3f1d5f345ee94c6aa49b1c30b87