Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Igor D. S. Miranda"'
Autor:
Zachary Susskind, Aman Arora, Alan T. L. Bacellar, Diego L. C. Dutra, Igor D. S. Miranda, Mauricio Breternitz, Priscila M. V. Lima, Felipe M. G. França, Lizy K. John
Publikováno v:
Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays.
Autor:
Zachary Susskind, Aman Arora, Igor D. S. Miranda, Luis A. Q. Villon, Rafael F. Katopodis, Leandro S. de Araújo, Diego L. C. Dutra, Priscila M. V. Lima, Felipe M. G. França, Mauricio Breternitz, Lizy K. John
Publikováno v:
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques.
Autor:
Zachary Susskind, Alan T. L. Bacellar, Aman Arora, Luis A. Q. Villon, Renan Mendanha, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Priscila Lima, Felipe França, Igor D. S. Miranda, Mauricio Breternitz Jr., LIZY JOHN
Weightless neural networks (WNNs) are a type of machine learning model which perform prediction using lookup tables (LUTs) instead of arithmetic operations. Recent advancements in WNNs have reduced model sizes and improved accuracies, reducing the ga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d8c50db4318981700791e55286faa91
https://hdl.handle.net/10071/26522
https://hdl.handle.net/10071/26522
Autor:
Luis A. Q. Villon, Zachary Susskind, Alan T. L. Bacellar, Igor D. S. Miranda, Leandro Santiago de Araújo, Priscila Lima, Mauricio Breternitz Jr., LIZY JOHN, Felipe França, Diego Leonel Cadette Dutra
Publikováno v:
ESANN 2022 proceedings.
Conditional branch prediction is a technique used to speculatively execute instructions before knowing the direction of conditional branch statements. Perceptron-based predictors have been extensively studied, however, they need large input sizes for
Autor:
Alan T. L. Bacellar, Zachary Susskind, Luis A. Q. Villon, Igor D. S. Miranda, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Mauricio Breternitz Jr., LIZY JOHN, Priscila Lima, Felipe França
Publikováno v:
ESANN 2022 proceedings.
The binary encoding of real valued inputs is a crucial part of Weightless Neural Networks. The Linear Thermometer and its variations are the most prominent methods to determine binary encoding for input data but, as they make assumptions about the in
Publikováno v:
ICASSP
We have performed cough detection based on measurements from an accelerometer attached to the patient's bed. This form of monitoring is less intrusive than body-attached accelerometer sensors, and sidesteps privacy concerns encountered when using aud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::564716bdadcc82946c09e039956d39ee
http://arxiv.org/abs/2102.04997
http://arxiv.org/abs/2102.04997
Publikováno v:
EMBC
Automatic cough detection is key to tracking the condition of patients suffering from tuberculosis. We evaluate various acoustic features for performing cough detection using deep architectures. As most previous studies have adopted features designed
Publikováno v:
2014 International Conference on Renewable Energy Research and Application (ICRERA).
There is a continuous race for improving efficiency of photovoltaic systems through strategies like optical concentration and sun tracking, even with the constant decline in photovoltaic panels prices. For such complex systems, simulation is a mandat