João Lucas de Sousa Almeida

14 papers B 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Multispectral to Hyperspectral using Pretrained Foundational model.
CoRR
Ruben Gonzalez, Conrad M. Albrecht, Nassim Ait Ali Braham, Devyani Lambhate, João Lucas de Sousa Almeida, Paolo Fraccaro, Benedikt Blumenstiel, Thomas Brunschwiler, Ranjini Bangalore
2025 J jnl
Surya: Foundation Model for Heliophysics.
CoRR
Sujit Roy, Johannes Schmude, Rohit Lal, Vishal Gaur, Marcus Freitag, Julian Kuehnert, Theodore van Kessel, Dinesha Hegde, Andrés Muñoz-Jaramillo, Johannes Jakubik, Etienne Eben Vos, Kshitiz Mandal, Ata Akbari Asanjan, João Lucas de Sousa Almeida, Amy Lin, Talwinder Singh, Yanghui Kang, Chetraj Pandey, Jinsu Hong, Berkay Aydin, Thorsten Kurth, Ryan M. McGranaghan, Spiridon Kasapis, Vishal Upendran, Shah Bahauddin, Daniel da Silva, Nikolai V. Pogorelov, Anne Spalding, Campbell D. Watson, Manil Maskey, Madhulika Guhathakurta, Juan Bernabé-Moreno, Rahul Ramachandran
2025 J jnl
TerraTorch: The Geospatial Foundation Models Toolkit.
CoRR
Carlos Gomes, Benedikt Blumenstiel, João Lucas de Sousa Almeida, Pedro Henrique de Oliveira, Paolo Fraccaro, Francesc Marti Escofet, Daniela Szwarcman, Naomi Simumba, Romeo Kienzler, Bianca Zadrozny
2024 J jnl
Nonintrusive Operator Inference for Chaotic Systems.
IEEE Trans. Artif. Intell.
João Lucas de Sousa Almeida, Arthur Cancellieri Pires, Klaus Feine Vaz Cid, Alberto Costa Nogueira Junior
2024 J jnl
Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications.
CoRR
Daniela Szwarcman, Sujit Roy, Paolo Fraccaro, Þorsteinn Elí Gíslason, Benedikt Blumenstiel, Rinki Ghosal, Pedro Henrique de Oliveira, João Lucas de Sousa Almeida, Rocco Sedona, Yanghui Kang, Srija Chakraborty, Sizhe Wang, Ankur Kumar, Myscon Truong, Denys Godwin, Hyunho Lee, Chia-Yu Hsu, Ata Akbari Asanjan, Besart Mujeci, Trevor Keenan, Paulo Arévalo, Wenwen Li, Hamed Alemohammad, Pontus Olofsson, Christopher Hain, Robert Kennedy, Bianca Zadrozny, Gabriele Cavallaro, Campbell D. Watson, Manil Maskey, Rahul Ramachandran, Juan Bernabé-Moreno
2024 J jnl
Towards Foundation Models for the Industrial Forecasting of Chemical Kinetics.
CoRR
Imran Nasim, João Lucas de Sousa Almeida
2024 J jnl
Using Neural Implicit Flow To Represent Latent Dynamics Of Canonical Systems.
CoRR
Imran Nasim, João Lucas de Sousa Almeida
2023 J jnl
A Machine Learning Pressure Emulator for Hydrogen Embrittlement.
CoRR
Minh Triet Chau, João Lucas de Sousa Almeida, Elie Alhajjar, Alberto Costa Nogueira Junior
2023 B conf
Detection of methane plumes using Sentinel-2 satellite images and deep neural networks trained on synthetically created label data.
IEEE Big Data
Maciel Zortea, João Lucas de Sousa Almeida, Levente J. Klein, Alberto Costa Nogueira Junior
2023 J jnl
Reduced-order modeling of the two-dimensional Rayleigh-Bénard convection flow through a non-intrusive operator inference.
Eng. Appl. Artif. Intell.
Pedro Roberto Barbosa Rocha, João Lucas de Sousa Almeida, Marcos Sebastião De Paula Gomes, Alberto Costa Nogueira Junior
2022 J jnl
Non-Intrusive Reduced Models based on Operator Inference for Chaotic Systems.
CoRR
João Lucas de Sousa Almeida, Arthur Cancellieri Pires, Klaus Feine Vaz Cid, Alberto Costa Nogueira Junior
2021 — conf
Reservoir Computing in Reduced Order Modeling for Chaotic Dynamical Systems.
ISC Workshops
Alberto Costa Nogueira Jr., Felipe de Castro Teixeira Carvalho, João Lucas de Sousa Almeida, Andrés Codas, Eloisa Bentivegna, Campbell D. Watson
2020 — conf
Reduced Order Modeling of Dynamical Systems Using Artificial Neural Networks Applied to Water Circulation.
ISC Workshops
Alberto Costa Nogueira, João Lucas de Sousa Almeida, Guillaume Auger, Campbell D. Watson
2019 J jnl
Smooth and Compactly Supported Viscous Sub-cell Shock Capturing for Discontinuous Galerkin Methods.
J. Sci. Comput.
Jan Glaubitz, Alberto Costa Nogueira Jr., João Lucas de Sousa Almeida, R. F. Cantão, C. A. C. Silva