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Takashi Yoneyama
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2020 – today
- 2024
- [c32]Joao P. A. Dantas, Samara R. Silva
, Vitor Conrado Faria Gomes
AsaPy: A Python Library for Aerospace Simulation Analysis. SIGSIM-PADS 2024: 15-24 - [c31]Joao P. A. Dantas
Loyal Wingman Assessment: Social Navigation for Human-Autonomous Collaboration in Simulated Air Combat. SIGSIM-PADS 2024: 61-62 - [i10]Jay Patrikar, Joao P. A. Dantas, Brady G. Moon, Milad Moghassem Hamidi, Sourish Ghosh, Nikhil Varma Keetha, Ian Higgins, Atharva Chandak, Takashi Yoneyama, Sebastian A. Scherer:
TartanAviation: Image, Speech, and ADS-B Trajectory Datasets for Terminal Airspace Operations. CoRR abs/2403.03372 (2024) - [i9]Joao P. A. Dantas, Marcos Ricardo Omena Albuquerque Máximo, Takashi Yoneyama:
Loyal Wingman Assessment: Social Navigation for Human-Autonomous Collaboration in Simulated Air Combat. CoRR abs/2405.00073 (2024) - 2023
- [c30]Thiago Filipe de Medeiros, Takashi Yoneyama, Marcos Ricardo Omena de Albuquerque Máximo:
Deep Reinforcement Learning Applied to IEEE's Very Small Size Soccer in Cooperative Attack Strategy. LARS/SBR/WRE 2023: 349-354 - [c29]Joao P. A. Dantas
Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach. SIGSIM-PADS 2023: 48-49 - [c28]Francisco Bruno Dias Ribeiro da Silva
Calibration of Inverse Perspective Mapping for a Humanoid Robot. RoboCup 2023: 117-128 - [i8]Joao P. A. Dantas, Marcos R. O. A. Máximo, Takashi Yoneyama:
Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach. CoRR abs/2304.09669 (2023) - [i7]Joao P. A. Dantas, Diego Geraldo, Andre N. Costa, Marcos Ricardo Omena Albuquerque Máximo, Takashi Yoneyama:
ASA-SimaaS: Advancing Digital Transformation through Simulation Services in the Brazilian Air Force. CoRR abs/2309.08680 (2023) - [i6]Joao P. A. Dantas, Samara R. Silva, Vitor Conrado Faria Gomes
AsaPy: A Python Library for Aerospace Simulation Analysis. CoRR abs/2310.00001 (2023) - [i5]Joao P. A. Dantas, Diego Geraldo, Felipe L. L. Medeiros, Marcos R. O. A. Máximo, Takashi Yoneyama:
Real-Time Surface-to-Air Missile Engagement Zone Prediction Using Simulation and Machine Learning. CoRR abs/2311.11905 (2023) - 2022
- [j26]Filipe Rodrigues De Souza Moreira
Maximum Visibility: A Novel Approach for Time Series Forecasting Based on Complex Network Theory. IEEE Access 10: 8960-8973 (2022) - [j25]Henrique Mohallem Paiva
A two-dimensional RC network topology for fault-tolerant design of analog circuits. Int. J. Circuit Theory Appl. 50(7): 2653-2659 (2022) - [j24]Alexandre F. V. Muzio
Deep Reinforcement Learning for Humanoid Robot Behaviors. J. Intell. Robotic Syst. 105(1): 12 (2022) - [c27]Joao P. A. Dantas, Andre N. Costa, Felipe L. L. Medeiros, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama:
Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations. WSC 2022: 1990-2001 - [i4]Joao P. A. Dantas, Andre N. Costa, Marcos R. O. A. Máximo, Takashi Yoneyama:
Enhanced Self-Organizing Map Solution for the Traveling Salesman Problem. CoRR abs/2201.07208 (2022) - [i3]Joao P. A. Dantas, Andre N. Costa, Felipe L. L. Medeiros, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama:
Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations. CoRR abs/2207.04188 (2022) - 2021
- [j23]Tiago P. Almeida
Unsupervised Classification of Atrial Electrograms for Electroanatomic Mapping of Human Persistent Atrial Fibrillation. IEEE Trans. Biomed. Eng. 68(4): 1131-1141 (2021) - [c26]Joao P. A. Dantas
Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network. BRACIS (2) 2021: 193-207 - [c25]Tiago P. Almeida, Xin Li, Bharat Sidhu, Arthur S. Bezerra, Mahmoud Ehnesh, Ibrahim Anton, Ibrahim A. Nasser, Gavin S. Chu, Peter J. Stafford, Takashi Yoneyama, G. André Ng, Fernando S. Schlindwein
Dominant Frequency and Organization Index for Substrate Identification of Persistent Atrial Fibrillation. CinC 2021: 1-4 - [c24]Joao P. A. Dantas, Andre N. Costa, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama:
Engagement Decision Support for Beyond Visual Range Air Combat. LARS/SBR/WRE 2021: 96-101 - [c23]Thayna Pires Baldão, Marcos R. O. A. Máximo, Takashi Yoneyama:
Optimizing Univector Field Navigation Parameters Using CMA-ES. LARS/SBR/WRE 2021: 318-323 - [i2]Joao P. A. Dantas, Andre N. Costa, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama:
Engagement Decision Support for Beyond Visual Range Air Combat. CoRR abs/2111.03059 (2021) - [i1]Joao P. A. Dantas, Andre N. Costa, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama:
Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network. CoRR abs/2111.04474 (2021) - 2020
- [j22]Leonardo Ramos Rodrigues
A spare parts inventory control model based on Prognostics and Health monitoring data under a fill rate constraint. Comput. Ind. Eng. 148: 106724 (2020) - [c22]Tiago P. Almeida
Phase Singularities in a Cardiac Patch Model With a Non-conductive Fibrotic Area During Atrial Fibrillation. CinC 2020: 1-4 - [c21]Arthur S. Bezerra, Takashi Yoneyama, Diogo C. Soriano
Optimizing Atrial Electrogram Classification Based on Local Ablation Outcome in Human Atrial Fibrillation. CinC 2020: 1-4 - [c20]Thiago Filipe de Medeiros, Marcos R. O. de A. Máximo, Takashi Yoneyama:
Deep Reinforcement Learning Applied to IEEE Very Small Size Soccer Strategy**This work was supported by ITAndroids' sponsors: Altium Cenic, Intel, ITAEx, MathWorks, Metinjo, Micropress, Polimold, Rapid, SolidWorks, STMicroelectronics, Wildlife Studios and Vir-tual. PYXIS. Also, Thiago Filipe de Medeiros would like to thank Capes for the master's scholarship grant 88882.446989/2019-01 and Takashi Yoneyama would like to thank CNPq - National Research Council of Brazil for the grant 304134/2018-0. LARS/SBR/WRE 2020: 1-6 - [c19]Alexandre F. V. Muzio, Marcos R. O. A. Máximo, Takashi Yoneyama:
Deep Reinforcement Learning for Humanoid Robot Dribbling**Alexandre Muzio acknowledges CAPES for his scholarship (number 88882.161989/2017-01). Takashi Yoneyama would like to thank CNPq - National Research Council of Brasil for the grant 304134/2-18-0. The authors thank ITAndroids' sponsors: Altium, Cenic, Intel, ITAEx, MathWorks, Metinjo, Micropress, Polimold, Rapid, SolidWorks, STMicroelectronics, Wildlife Studios, and Virtual.PYXIS. LARS/SBR/WRE 2020: 1-6 - [c18]Felipe C. R. Pinheiro, Marcos R. O. A. Máximo, Takashi Yoneyama:
Comparison of Sampling-based Path Planners for Robocup Small Size League. LARS/SBR/WRE 2020: 1-6
2010 – 2019
- 2019
- [j21]Julio Cesar Graves
A Class of Mappings for Assessment of Aircraft Pneumatic Actuator Degradation Parameters. IEEE Trans. Reliab. 68(2): 710-719 (2019) - [c17]Tiago P. Almeida
Recurrence Quantification Analysis for Investigating Atrial Fibrillation Dynamics in a Heterogeneous Simulation Setup. EMBC 2019: 2277-2280 - [c16]Felipe Celso Reis Pinheiro, Marcos Ricardo Omena de Albuquerque Máximo, Takashi Yoneyama:
Model Predictive Control for Omnidirectional Small Size Robot with Motor and Non-Slipping Constraints. LARS/SBR/WRE 2019: 13-18 - 2018
- [j20]Wlamir Olivares Loesch Vianna
Predictive Maintenance Optimization for Aircraft Redundant Systems Subjected to Multiple Wear Profiles. IEEE Syst. J. 12(2): 1170-1181 (2018) - [j19]João Paulo Pordeus Gomes
Using Degradation Messages to Predict Hydraulic System Failures in a Commercial Aircraft. IEEE Trans Autom. Sci. Eng. 15(1): 214-224 (2018) - [c15]Tiago Paggi de Almeida
Unsupervised k-Mean Classification of Atrial Electrograms From Human Persistent Atrial Fibrillation. CinC 2018: 1-4 - 2016
- [j18]João Paulo Pordeus Gomes, Roberto Kawakami Harrop Galvão, Takashi Yoneyama
A New Degradation Indicator Based on a Statistical Anomaly Approach. IEEE Trans. Reliab. 65(1): 326-335 (2016) - [j17]Bruno P. Leao, Takashi Yoneyama
Asymmetric Unscented Transform for Failure Prognosis. IEEE Trans. Reliab. 65(3): 1406-1415 (2016) - [c14]Wlamir Olivares Loesch Vianna, Leonardo Ramos Rodrigues, Takashi Yoneyama
Troubleshooting optimization using multi-start simulated annealing. SysCon 2016: 1-6 - 2015
- [j16]Mariana Santos Matos Cavalca
Robust Model predictive Control using Constraint Relaxation for Fault Tolerance. Control. Intell. Syst. 43(1) (2015) - [j15]Leandro L. S. Linhares, José M. Araújo Jr., Fábio M. U. Araújo
A nonlinear system identification approach based on Fuzzy Wavelet Neural Network. J. Intell. Fuzzy Syst. 28(1): 225-235 (2015) - [c13]Wlamir Olivares Loesch Vianna, Luiz Gonzaga de Souza Ribeiro, Takashi Yoneyama
Electro hydraulic servovalve health monitoring using fading extended Kalman filter. ICPHM 2015: 1-6 - [c12]Christian Strottmann Kern, Ivo Paixao de Medeiros, Takashi Yoneyama
Data-driven aircraft estimated time of arrival prediction. SysCon 2015: 727-733 - 2014
- [c11]Adilson Souza Candido, Roberto Kawakami Harrop Galvão, Takashi Yoneyama
Actuator fault diagnosis and control of a quadrotor. INDIN 2014: 310-315 - [c10]Wallace Turcio, Takashi Yoneyama
Control of an aeronautical pneumatic system using feedback linearization. MED 2014: 954-959 - 2013
- [c9]Wallace Turcio, Takashi Yoneyama
Quasi-LPV gain-scheduling control of a nonlinear aircraft pneumatic System. MED 2013: 341-350 - 2012
- [j14]Helder S. Barbosa, Roberto Kawakami Harrop Galvão, Takashi Yoneyama
Model Predictive Control of Linear Systems subject to actuator degradation. Control. Intell. Syst. 40(4) (2012) - 2011
- [j13]Davi Antônio dos Santos, Takashi Yoneyama
A Bayesian solution to the multiple composite hypothesis testing for fault diagnosis in dynamic systems. Autom. 47(1): 158-163 (2011)
2000 – 2009
- 2009
- [c8]Takashi Yoneyama
Painterly renderings using a synthesis of styles based on visual perception. VRCAI 2009: 59-64 - 2008
- [j12]Henrique Mohallem Paiva
A Wavelet Band-Limiting Filter Approach for Fault Detection in Dynamic Systems. IEEE Trans. Syst. Man Cybern. Part A 38(3): 680-687 (2008) - [c7]Marco A. L. Caetano, Jose A. M. Felippe de Souza, Takashi Yoneyama
Optimal medication in HIV seropositive patient treatment using fuzzy cost function. ACC 2008: 2227-2232 - 2004
- [j11]Roberto Kawakami Harrop Galvão, Takashi Yoneyama
A competitive wavelet network for signal clustering. IEEE Trans. Syst. Man Cybern. Part B 34(2): 1282-1288 (2004) - 2003
- [j10]Roberto Kawakami Harrop Galvão, Takashi Yoneyama
A simple technique for identifying a linearized model for a didactic magnetic levitation system. IEEE Trans. Educ. 46(1): 22-25 (2003) - [c6]Jose A. M. Felippe de Souza, Marco A. L. Caetano, Takashi Yoneyama:
Analysis of a sub-optimal scheme of drug dosage in the aids treatment. ACC 2003: 1188-1193 - 2001
- [j9]Laurisete dos Santos Camargo, Takashi Yoneyama
Specification of Training Sets and the Number of Hidden Neurons for Multilayer Perceptrons. Neural Comput. 13(12): 2673-2680 (2001) - [j8]Eduardo de Azevedo Botter, Cairo L. Nascimento Jr.
A neural network with asymmetric basis functions for feature extraction of ECG P waves. IEEE Trans. Neural Networks 12(5): 1252-1255 (2001) - [c5]Jose A. M. Felippe de Souza, Marco Antonio Leonel Caetano, Takashi Yoneyama:
A control theoretic approach to the treatment of AIDS. ECC 2001: 3434-3439 - 2000
- [c4]Jose A. M. Felippe de Souza, Marco Antonio Leonel Caetano, Takashi Yoneyama:
Optimal control theory applied to the anti-viral treatment of AIDS. CDC 2000: 4839-4844 - [c3]Leizer Schnitman
A Clustering Method for Improving the Global Search Capability of Genetic Algorithms. SBRN 2000: 32-37 - [c2]Leizer Schnitman
An Efficient Implementation of a Learning Method for Mamdani Fuzzy Models. SBRN 2000: 38-43
1990 – 1999
- 1999
- [j7]Roberto Kawakami Harrop Galvão, Takashi Yoneyama
Signal Representation by Adaptive Biased Wavelet Expansions. Digit. Signal Process. 9(4): 225-240 (1999) - [j6]Roberto Kawakami Harrop Galvão, Takashi Yoneyama:
Improving the Discriminatory Capabilities of a Neural Classifier by Using a Biased-Wavelet Layer. Int. J. Neural Syst. 9(3): 167-174 (1999) - [j5]André Laurindo Maitelli
A multistage suboptimal dual controller using optimal predictors. IEEE Trans. Autom. Control. 44(5): 1002-1008 (1999) - [j4]Gabriel Omar Alvarez Zapata, Roberto Kawakami Harrop Galvão, Takashi Yoneyama
Extracting fuzzy control rules from experimental human operator data. IEEE Trans. Syst. Man Cybern. Part B 29(3): 398-406 (1999) - 1998
- [c1]Roberto Kawakami Harrop Galvão, Takashi Yoneyama:
A Neural Classifier Employing Biased Wavelets. SBRN 1998: 106-111 - 1997
- [j3]André Laurindo Maitelli
Suboptimal dual adaptive control for blood pressure management. IEEE Trans. Biomed. Eng. 44(6): 486-492 (1997) - 1994
- [j2]André Laurindo Maitelli
A two-stage dual suboptimal controller for stochastic systems using approximate moments. Autom. 30(12): 1949-1954 (1994) - 1993
- [j1]Karl Heinz Kienitz, Takashi Yoneyama:
A robust controller for insulin pumps based on H-infinity theory. IEEE Trans. Biomed. Eng. 40(11): 1133-1137 (1993)
Coauthor Index
Marcos Ricardo Omena de Albuquerque Máximo
aka: Marcos Ricardo Omena Albuquerque Máximo
aka: Marcos R. O. de A. Máximo
aka: Marcos R. O. A. Máximo
aka: Marcos Ricardo Omena Albuquerque Máximo
aka: Marcos R. O. de A. Máximo
aka: Marcos R. O. A. Máximo
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last updated on 2024-11-14 21:02 CET by the dblp team
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