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Your search keyword '"Franco C. A."' showing total 33 results
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33 results on '"Franco C. A."'

5. Drying Process of Jackfruit Seeds

Author

de Oliveira, T. M. Q., primary, de Medeiros, R. A., additional, Farias, V. S. O., additional, da Silva, W. P., additional, Franco, C. M. R., additional, and da Silva Júnior, A. F., additional

Published
2020
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6. Air Quality in Metal Industries

Author

Pinheiro, T., primary, Almeida, S.M., additional, Félix, P.M., additional, Franco, C., additional, Garcia, S.M., additional, Lopes, C., additional, and Bugalho de Almeida, A., additional

Published
2016
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10. Osteolathyrism in calves in Uruguay.

Author

García y Santos, C., primary, Sosa, S., additional, Capelli, A., additional, Pérez, W., additional, Domínguez, R., additional, Aldecoa, C., additional, Franco, C., additional, and Moreira, G., additional

Published
2011
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31. Optimization with Clifford Support Vector Machines and applications.

Author

Arana-Daniel, N., López-Franco, C., and Bayro-Corrochano, E.

Abstract

This chapter introduces a generalization of the real- and complex-valued SVM΄s using the Clifford algebra. In this framework we handle the design of kernels involving the geometric product for linear and nonlinear classification and regression. The major advantage of our approach is that we redefine the optimization variables as multivectors. This allows us to have a multivector as output and, therefore we can represent multiple classes according to the dimension of the geometric algebra in which we work. By using the CSVM with one Clifford kernel we reduce the complexity of the computation greatly. This can be done thanks to the Clifford product, which performs the direct product between the spaces of different grade involved in the optimization problem. We conduct comparisons between CSVM and the most used approaches to solve multi-class classification to show that ours is more suitable for practical use on certain type of problems. In this chapter are included several experiments to show the application of CSVM to solve classification and regression problems, as well as 3D object recognition for visual guided robotics. In addition, it is shown the design of a recurrent system involving LSTM network connected with CSVM and we study the performance of this system with time series experiments and robot navigation using reinforcement learning. [ABSTRACT FROM AUTHOR]

Published
2010
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32. Experimental Investigation of Hot Carriers in THz and Mid-IR Quantum Cascade Lasers.

Author

Saraniti, M., Ravaioli, U., Scamarcio, G., Spagnolo, V., Vitiello, M. S., and Di Franco, C.

Abstract

We compare the electronic temperatures and the electron lattice coupling in mid-infrared and terahertz GaAs-based quantum cascade lasers (QCLs). Thermalized hot-electron distributions are found in both classes of QCLs. The results illustrate the influence of the quantum design on the electron-lattice energy relaxation rates, that ultimately determine the device thermal performance. [ABSTRACT FROM AUTHOR]

Published
2006
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