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Publication search results
found 202 matches
- 2024
- Matheus dos Santos Lima, Victor Augusto Kich, Raul Steinmetz, Daniel Fernando Tello Gamarra:
Delta robot control by learning systems: Harnessing the power of deep reinforcement learning algorithms. J. Intell. Fuzzy Syst. 46(2): 4881-4894 (2024) - Elvin Isufi, Fernando Gama, David I Shuman, Santiago Segarra:
Graph Filters for Signal Processing and Machine Learning on Graphs. IEEE Trans. Signal Process. 72: 4745-4781 (2024) - Ricardo B. Grando, Raul Steinmetz, Victor Augusto Kich, Alisson Henrique Kolling, Pablo M. Furik, Junior Costa de Jesus, Bruna de Vargas Guterres, Daniel Fernando Tello Gamarra, Rodrigo da Silva Guerra, Paulo L. J. Drews-Jr:
Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning. CASE 2024: 1028-1033 - Damian Owerko, Fernando Gama, Alejandro Ribeiro:
Unsupervised Optimal Power Flow Using Graph Neural Networks. ICASSP 2024: 6885-6889 - Eduardo S. Gama, Roberto Rodrigues Filho, Edmundo R. M. Madeira, Roger Immich, Luiz F. Bittencourt:
Enabling Adaptive Video Streaming via Content Steering on the Edge-Cloud Continuum. ICFEC 2024: 35-42 - Wenqing Zheng, Brian M. Sadler, Fernando Gama, Tianlong Chen:
Distributed UAV Beamforming Using Graph Recurrent Neural Networks. SAM 2024: 1-5 - Lucas Nildaimon dos Santos Silva, Livy Real, Ana Claudia Bianchini Zandavalle, Carolina Francisco Gadelha Rodrigues, Tatiana da Silva Gama, Fernando Guedes Souza, Phillipe Derwich Silva Zaidan:
RePro: a benchmark for Opinion Mining for Brazilian Portuguese. PROPOR 2024: 432-440 - Lucas Nildaimon dos Santos Silva, Livy Real, Fernando Rezende Zagatti, Ana Claudia Bianchini Zandavalle, Tatiana da Silva Gama, Carolina Francisco Gadelha Rodrigues:
Brazilian Portuguese Product Reviews Moderation with AutoML. PROPOR 2024: 394-400 - Valeria Herskovic, Jorge Munoz-Gama, Fernando Balladares, Pablo Flores, Nicolás Quiróz:
Clearn: A Cost-conscious Student-led Online Judge for a Large Programming Course. SIGCSE (1) 2024: 498-504 - Ernesto Vázquez Sánchez, Jaime Gómez Gil, José Carlos Gamazo-Real, José Fernando Díez Higuera:
A New Method for Sensorless Estimation of the Speed and Position in Brushed DC Motors Using Support Vector Machines. CoRR abs/2403.18833 (2024) - Sankar Krishnan Prajindra, Chai Phing Chen, Gamal Alkawsi, Sieh Kiong Tiong, Luiz Fernando Capretz:
Mapping the Invisible: A Framework for Tracking COVID-19 Spread Among College Students with Google Location Data. CoRR abs/2405.07870 (2024) - Ricardo B. Grando, Raul Steinmetz, Victor Augusto Kich, Alisson Henrique Kolling, Pablo M. Furik, Junior Costa de Jesus, Bruna de Vargas Guterres, Daniel Fernando Tello Gamarra, Rodrigo da Silva Guerra, Paulo L. J. Drews-Jr:
Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning. CoRR abs/2406.01952 (2024) - Victor Augusto Kich, Alisson Henrique Kolling, Junior Costa de Jesus, Gabriel Vinícius Heisler, Hiago Jacobs Sodre Pereira, Jair Augusto Bottega, André L. S. da Kelbouscas, Akihisa Ohya, Ricardo Bedin Grando, Paulo Lilles Drews Jr., Daniel Fernando Tello Gamarra:
Parallel Distributional Deep Reinforcement Learning for Mapless Navigation of Terrestrial Mobile Robots. CoRR abs/2408.05744 (2024) - 2023
- Jair Augusto Bottega, Victor Augusto Kich, Junior Costa de Jesus, Raul Steinmetz, Alisson Henrique Kolling, Ricardo Bedin Grando, Rodrigo da Silva Guerra, Daniel Fernando Tello Gamarra:
Jubileo: An Immersive Simulation Framework for Social Robot Design. J. Intell. Robotic Syst. 109(4): 91 (2023) - Alexandre Vianna, Fernando Kenji Kamei, Kiev Gama, Carlos Zimmerle, João Alexandre Neto:
A Grey Literature Review on Data Stream Processing applications testing. J. Syst. Softw. 203: 111744 (2023) - Pramitha Fernando, Keshawa Dadallage, Tharindu D. Gamage, Chathura Seneviratne, An Braeken, Arjuna Madanayake, Madhusanka Liyanage:
Distributed-Proof-of-Sense: Blockchain Consensus Mechanisms for Detecting Spectrum Access Violations of the Radio Spectrum. IEEE Trans. Cogn. Commun. Netw. 9(5): 1110-1125 (2023) - Alejandro Parada-Mayorga, Zhiyang Wang, Fernando Gama, Alejandro Ribeiro:
Stability of Aggregation Graph Neural Networks. IEEE Trans. Signal Inf. Process. over Networks 9: 850-864 (2023) - Fernando Gama, Nicolas Zilberstein, Martin Sevilla, Richard G. Baraniuk, Santiago Segarra:
Unsupervised Learning of Sampling Distributions for Particle Filters. IEEE Trans. Signal Process. 71: 3852-3866 (2023) - Eduardo S. Gama, Natesha B. V, Roger Immich, Luiz F. Bittencourt:
An Orchestrator Architecture for Multi-tier Edge/Cloud Video Streaming Services. EDGE 2023: 190-196 - Sangwoo Park, Fernando Gama, Javad Lavaei, Somayeh Sojoudi:
Distributed Power System State Estimation Using Graph Convolutional Neural Networks. HICSS 2023: 2756-2765 - Jacob Astocondor-Villar, Juan Grados, Fernando Mendoza-Apaza, Wilmer Chavez-Sanchez, Kennedy Narciso-Gomez, Anna Grados-Espinoza, Paolo Pascual-Panduro:
Low-cost Biomechanical System for Posture Rectification using IoT Technology. ICECC 2023: 271-277 - Angello De Mello Gai, Solon Bevilacqua, Anselmo Rafael Cukla, Daniel Fernando Tello Gamarra:
Evaluation on IMU and odometry sensor fusion for a Turtlebot robot using AMCL on ROS framework. LARS/SBR/WRE 2023: 637-642 - Alisson Henrique Kolling, Victor Augusto Kich, Junior Costa de Jesus, Andressa Cavalcante da Silva, Ricardo Bedin Grando, Paulo Lilles Jorge Drews, Daniel Fernando Tello Gamarra:
Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles. LARS/SBR/WRE 2023: 95-100 - Linda Dotto de Moraes, Victor Augusto Kich, Alisson Henrique Kolling, Jair Augusto Bottega, Ricardo Bedin Grando, Anselmo Rafael Cukla, Daniel Fernando Tello Gamarra:
Enhanced Low-Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots Using Double Deep Reinforcement Learning Techniques. LARS/SBR/WRE 2023: 337-342 - Alessandra Pereira, Kiev Gama, Carlos Zimmerle, Fernando Castor:
Reactive Programming with Swift Combine: An Analysis of Problems Faced by Developers on Stack Overflow. SBES 2023: 109-115 - Kesse Jonatas de Jesus, Mateus Osvaldo Klan Pereira, Leonardo Ramos Emmendorfer, Daniel Fernando Tello Gamarra:
A Comparison of Visual SLAM Algorithms ORB-SLAM3 and DynaSLAM on KITTI and TUM Monocular Datasets. SIBGRAPI 2023: 109-114 - Linda Dotto de Moraes, Victor Augusto Kich, Alisson Henrique Kolling, Jair Augusto Bottega, Raul Steinmetz, Emerson Cassiano da Silva, Ricardo Bedin Grando, Anselmo Rafael Cuckla, Daniel Fernando Tello Gamarra:
Double Deep Reinforcement Learning Techniques for Low Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots. CoRR abs/2301.11173 (2023) - Alisson Henrique Kolling, Victor Augusto Kich, Junior Costa de Jesus, Andressa Cavalcante da Silva, Ricardo Bedin Grando, Paulo Lilles Jorge Drews Junior, Daniel Fernando Tello Gamarra:
Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles. CoRR abs/2309.00176 (2023) - Linda Dotto de Moraes, Victor Augusto Kich, Alisson Henrique Kolling, Jair Augusto Bottega, Ricardo Bedin Grando, Anselmo Rafael Cukla, Daniel Fernando Tello Gamarra:
Enhanced Low-Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots Using Double Deep Reinforcement Learning Techniques. CoRR abs/2310.13809 (2023) - 2022
- Gil Marques, Sílvio M. A. Gama, Fernando M. Lobo Pereira:
Optimal Control of a Passive Particle Advected by a Lamb-Oseen (Viscous) Vortex. Comput. 10(6): 87 (2022)
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