Takashi Yoneyama

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 39

Top Topics

Atrial Fibrillation

Model Predictive Control

Top Venues

Publications

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 (2024)
Joao P. A. Dantas, Samara R. Silva, Vitor Conrado Faria Gomes, Andre N. Costa, Adrisson R. Samersla, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama
AsaPy: A Python Library for Aerospace Simulation Analysis. SIGSIM-PADS (2024)
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 (2024)
Joao P. A. Dantas, Marcos R. O. A. Máximo, Takashi Yoneyama
Loyal Wingman Assessment: Social Navigation for Human-Autonomous Collaboration in Simulated Air Combat. SIGSIM-PADS (2024)
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 (2023)
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 (2023)
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)
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 (2023)
Francisco Bruno Dias Ribeiro da Silva, Marcos Ricardo Omena de Albuquerque Máximo, Takashi Yoneyama, Davi Herculano Vasconcelos Barroso, Rodrigo Tanaka Aki
Calibration of Inverse Perspective Mapping for a Humanoid Robot. RoboCup (2023)
Joao P. A. Dantas, Samara R. Silva, Vitor Conrado Faria Gomes, Andre N. Costa, Adrisson R. Samersla, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama
AsaPy: A Python Library for Aerospace Simulation Analysis. CoRR (2023)
Joao P. A. Dantas, Marcos R. O. A. Máximo, Takashi Yoneyama
Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach. SIGSIM-PADS (2023)
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 (2022)
Alexandre F. V. Muzio, Marcos Ricardo Omena de Albuquerque Máximo, Takashi Yoneyama
Deep Reinforcement Learning for Humanoid Robot Behaviors. J. Intell. Robotic Syst. 105 (1) (2022)
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)
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 (2022)
Henrique Mohallem Paiva, Roberto Kawakami Harrop Galvão, Sillas Hadjiloucas, Takashi Yoneyama, Matheus Henrique Marcolino
A two-dimensional RC network topology for fault-tolerant design of analog circuits. Int. J. Circuit Theory Appl. 50 (7) (2022)
Filipe Rodrigues De Souza Moreira, Filipe Alves Neto Verri, Takashi Yoneyama
Maximum Visibility: A Novel Approach for Time Series Forecasting Based on Complex Network Theory. IEEE Access 10 (2022)
Joao P. A. Dantas, Andre N. Costa, Diego Geraldo, Marcos Ricardo Omena Albuquerque Máximo, Takashi Yoneyama
Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network. BRACIS (2) (2021)
Thayna Pires Baldão, Marcos R. O. A. Máximo, Takashi Yoneyama
Optimizing Univector Field Navigation Parameters Using CMA-ES. LARS/SBR/WRE (2021)
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 (2021)
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)
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 (2021)
Tiago P. Almeida, Diogo C. Soriano, Michela Masè, Flavia Ravelli, Arthur S. Bezerra, Xin Li, Gavin S. Chu, João Salinet, Peter J. Stafford, G. André Ng, Fernando S. Schlindwein, Takashi Yoneyama
Unsupervised Classification of Atrial Electrograms for Electroanatomic Mapping of Human Persistent Atrial Fibrillation. IEEE Trans. Biomed. Eng. 68 (4) (2021)
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)
Tiago P. Almeida, Mark Nothstein, Xin Li, Michela Masè, Flavia Ravelli, Diogo C. Soriano, Arthur S. Bezerra, Fernando S. Schlindwein, Takashi Yoneyama, Olaf Dössel, G. André Ng, Axel Loewe
Phase Singularities in a Cardiac Patch Model With a Non-conductive Fibrotic Area During Atrial Fibrillation. CinC (2020)
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)
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)
Leonardo Ramos Rodrigues, Takashi Yoneyama
A spare parts inventory control model based on Prognostics and Health monitoring data under a fill rate constraint. Comput. Ind. Eng. 148 (2020)
Arthur S. Bezerra, Takashi Yoneyama, Diogo C. Soriano, Giorgio Luongo, Xin Li, Flavia Ravelli, Michela Masè, Gavin S. Chu, Peter J. Stafford, Fernando S. Schlindwein, G. André Ng, Tiago P. Almeida
Optimizing Atrial Electrogram Classification Based on Local Ablation Outcome in Human Atrial Fibrillation. CinC (2020)
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)
Tiago P. Almeida, Laura A. Unger, Diogo C. Soriano, Xin Li, Olaf Dössel, Takashi Yoneyama, Axel Loewe
Recurrence Quantification Analysis for Investigating Atrial Fibrillation Dynamics in a Heterogeneous Simulation Setup. EMBC (2019)
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)
Julio Cesar Graves, Wallace Hessler Leal Turcio, Takashi Yoneyama
A Class of Mappings for Assessment of Aircraft Pneumatic Actuator Degradation Parameters. IEEE Trans. Reliab. 68 (2) (2019)
Tiago Paggi de Almeida, Diogo C. Soriano, Xin Li, Gavin S. Chu, João Loures Salinet Jr., Fernando S. Schlindwein, Peter J. Stafford, G. André Ng, Takashi Yoneyama
Unsupervised k-Mean Classification of Atrial Electrograms From Human Persistent Atrial Fibrillation. CinC (2018)
Wlamir Olivares Loesch Vianna, Takashi Yoneyama
Predictive Maintenance Optimization for Aircraft Redundant Systems Subjected to Multiple Wear Profiles. IEEE Syst. J. 12 (2) (2018)
João Paulo Pordeus Gomes, Leonardo Ramos Rodrigues, Bruno P. Leao, Roberto Kawakami Harrop Galvão, Takashi Yoneyama
Using Degradation Messages to Predict Hydraulic System Failures in a Commercial Aircraft. IEEE Trans Autom. Sci. Eng. 15 (1) (2018)
Bruno P. Leao, Takashi Yoneyama, João Paulo Pordeus Gomes
Asymmetric Unscented Transform for Failure Prognosis. IEEE Trans. Reliab. 65 (3) (2016)
João Paulo Pordeus Gomes, Roberto Kawakami Harrop Galvão, Takashi Yoneyama, Bruno P. Leao
A New Degradation Indicator Based on a Statistical Anomaly Approach. IEEE Trans. Reliab. 65 (1) (2016)
Wlamir Olivares Loesch Vianna, Leonardo Ramos Rodrigues, Takashi Yoneyama, David Issa Mattos
Troubleshooting optimization using multi-start simulated annealing. SysCon (2016)
Leandro L. S. Linhares, José M. Araújo Jr., Fábio M. U. Araújo, Takashi Yoneyama
A nonlinear system identification approach based on Fuzzy Wavelet Neural Network. J. Intell. Fuzzy Syst. 28 (1) (2015)
Christian Strottmann Kern, Ivo Paixao de Medeiros, Takashi Yoneyama
Data-driven aircraft estimated time of arrival prediction. SysCon (2015)
Mariana Santos Matos Cavalca, Roberto Kawakami Harrop Galvão, Takashi Yoneyama
Robust Model predictive Control using Constraint Relaxation for Fault Tolerance. Control. Intell. Syst. 43 (1) (2015)
Wlamir Olivares Loesch Vianna, Luiz Gonzaga de Souza Ribeiro, Takashi Yoneyama
Electro hydraulic servovalve health monitoring using fading extended Kalman filter. ICPHM (2015)
Adilson Souza Candido, Roberto Kawakami Harrop Galvão, Takashi Yoneyama
Actuator fault diagnosis and control of a quadrotor. INDIN (2014)
Wallace Turcio, Takashi Yoneyama, Dayvis Dias da Silva
Control of an aeronautical pneumatic system using feedback linearization. MED (2014)
Wallace Turcio, Takashi Yoneyama, Fernando Moreira
Quasi-LPV gain-scheduling control of a nonlinear aircraft pneumatic System. MED (2013)
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)
Davi Antônio dos Santos, Takashi Yoneyama
A Bayesian solution to the multiple composite hypothesis testing for fault diagnosis in dynamic systems. Autom. 47 (1) (2011)
Takashi Yoneyama, Etsuo Genda, Kunio Kondo
Painterly renderings using a synthesis of styles based on visual perception. VRCAI (2009)
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)
Henrique Mohallem Paiva, Roberto Kawakami Harrop Galvão, Takashi Yoneyama
A Wavelet Band-Limiting Filter Approach for Fault Detection in Dynamic Systems. IEEE Trans. Syst. Man Cybern. Part A 38 (3) (2008)
Roberto Kawakami Harrop Galvão, Takashi Yoneyama
A competitive wavelet network for signal clustering. IEEE Trans. Syst. Man Cybern. Part B 34 (2) (2004)
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)
Roberto Kawakami Harrop Galvão, Takashi Yoneyama, Fábio Meneghetti Ugulino de Araújo, Rodolfo Galati Machado
A simple technique for identifying a linearized model for a didactic magnetic levitation system. IEEE Trans. Educ. 46 (1) (2003)
Jose A. M. Felippe de Souza, Marco Antonio Leonel Caetano, Takashi Yoneyama
A control theoretic approach to the treatment of AIDS. ECC (2001)
Eduardo de Azevedo Botter, Cairo L. Nascimento Jr., Takashi Yoneyama
A neural network with asymmetric basis functions for feature extraction of ECG P waves. IEEE Trans. Neural Networks 12 (5) (2001)
Laurisete dos Santos Camargo, Takashi Yoneyama
Specification of Training Sets and the Number of Hidden Neurons for Multilayer Perceptrons. Neural Comput. 13 (12) (2001)
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)
Leizer Schnitman, Takashi Yoneyama
A Clustering Method for Improving the Global Search Capability of Genetic Algorithms. SBRN (2000)
Leizer Schnitman, Takashi Yoneyama
An Efficient Implementation of a Learning Method for Mamdani Fuzzy Models. SBRN (2000)
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) (1999)
Roberto Kawakami Harrop Galvão, Takashi Yoneyama, Tânia Nunes Rabello
Signal Representation by Adaptive Biased Wavelet Expansions. Digit. Signal Process. 9 (4) (1999)
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) (1999)
André Laurindo Maitelli, Takashi Yoneyama
A multistage suboptimal dual controller using optimal predictors. IEEE Trans. Autom. Control. 44 (5) (1999)
Roberto Kawakami Harrop Galvão, Takashi Yoneyama
A Neural Classifier Employing Biased Wavelets. SBRN (1998)
André Laurindo Maitelli, Takashi Yoneyama
Suboptimal dual adaptive control for blood pressure management. IEEE Trans. Biomed. Eng. 44 (6) (1997)
André Laurindo Maitelli, Takashi Yoneyama
A two-stage dual suboptimal controller for stochastic systems using approximate moments. Autom. 30 (12) (1994)