Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Darrion Long"'
Autor:
Hannah Foster, Janelle Mason, Darrion Long, James Mayes, Albert Esterline, Kofi Kyei, William Nick
Publikováno v:
International Symposium on Affective Science and Engineering. :1-7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a7cc97abea524407dcb129a5662c1e6
https://doi.org/10.5057/isase.2018-c000027
https://doi.org/10.5057/isase.2018-c000027
Autor:
James Mayes, Hannah Foster, Albert Esterline, Janelle Mason, William Nick, Darrion Long, Kofi Kyei
Publikováno v:
ACM Southeast Regional Conference
This paper presents a computational framework for identity (initially about the culprit in a crime scene) based on Barwise's situation theory. Situations support information and can carry information about other situations. An utterance situation car
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::109d27a78d69d44d9fd7867d11bd1052
https://doi.org/10.1145/3190645.3190713
https://doi.org/10.1145/3190645.3190713
Publikováno v:
2016 Future Technologies Conference (FTC).
Yearlong energy consumption forecasts of multilayered feedforward neural networks (MFNN) are unreliable if the data samples are too closely spaced. With current computation power a MFNN can outperform a regression model in terms of accuracy and speed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b096874fb25b37931cc669cb31ada120
https://doi.org/10.1109/ftc.2016.7821704
https://doi.org/10.1109/ftc.2016.7821704
Publikováno v:
2016 Future Technologies Conference (FTC).
This paper presents modeling methodologies for predicting energy consumption using system identification. The models discussed will predict the systems performance using the measured input and output. To test and train the models, data was gathered f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0431e5917cc7754156391d0950b668f0
https://doi.org/10.1109/ftc.2016.7821681
https://doi.org/10.1109/ftc.2016.7821681
Autor:
Darrion Long, David Heise
Publikováno v:
SIGCSE
Analysis of musical audio is of interest for a variety of tasks within the field of music information retrieval (MIR). One component of MIR is audio event detection, of which onset detection is one component. Audio offset detection is a complementary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0f31442284bdef92e67457db60f51b9
https://doi.org/10.1145/2676723.2693635
https://doi.org/10.1145/2676723.2693635