567 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Universidade Estadual Paulista (Unesp)BR68 papers
- Centre National de la Recherche ScientifiqueFR64 papers
- Universidade de São PauloBR61 papers
- Universidade Federal do ParanáBR61 papers
- Laboratório Interinstitucional de e-AstronomiaBR50 papers
- Valongo ObservatoryBR49 papers
- National ObservatoryBR46 papers
- Sorbonne UniversitéFR42 papers
- Université Paris CitéFR41 papers
- Laboratoire d’études spatiales et d’instrumentation en astrophysiqueFR40 papers
- Université Paris Sciences et LettresFR39 papers
- Observatoire de ParisFR38 papers
471 papers
An Overview of Classical Scattering by a Lennard-Jones Potential
Tiago Kroetz
We present a numerical and conceptual overview of classical scattering under a Lennard-Jones potential. All results were obtained by direct integration of particle trajectories in…
Probing Lorentz Invariance Violation in Cosmogenic Neutrino Propagation with KM3-230213A
Rodrigo Sasse, Rodrigo Guedes Lang, Rita de Cássia dos Anjos
We investigate superluminal Lorentz invariance violation (LIV) in the neutrino sector using cosmogenic neutrino fluxes generated with ultrahigh-energy cosmic-ray propagation models…
Hadronic origin of gamma rays and neutrinos from blazars: Multi-messenger implications and observational constraints
Rodrigo Sasse, Rita de Cássia dos Anjos
We investigate whether cosmogenic gamma rays and neutrinos from ultra-high-energy cosmic rays (UHECRs) produced in hadronically active blazars can significantly contribute to the o…
Sum of two strictly n-zero matrices
Ivan Gargate, Edgar Saenz
In this work we investigate when an Jordan matrix can be written as the sum of two strictly -zero matrices. In particular, we show that if is an algebra…
A Symbolic Machine Learning Approach for Cybersickness Potential-Cause Estimation
Thiago Porcino, Érick Oliveira Rodrigues, Flavia Bernardini +2
Virtual reality (VR) and head-mounted displays are constantly gaining popularity in various fields such as education, military, entertainment, and bio/medical informatics. Although…
Using the gameplay and user data to predict and identify causes of cybersickness manifestation in virtual reality games
Thiago Porcino, Erick Oliveira Rodrigues, Alexandre Silva +2
Virtual reality (VR) is an imminent trend in games, education, entertainment, military, and health applications, as the use of head-mounted displays is accessible to everyone. Whil…
When galaxies cross cold fronts: wind tunnel simulations of ram pressure stripping
Elvis A. Mello-Terencio, Rubens E. G. Machado, Richards P. Albuquerque
Cluster collisions and mergers are among the most energetic phenomena in the low redshift Universe. These interactions disturb the intracluster medium creating regions with density…
Non-thermal emission from the vicinity of the magnetar CXOU J171405.7-381031
Manoel F. Sousa, Rita. C. Anjos
Magnetars are neutron stars with ultra-strong magnetic fields (- G) and are promising candidates for high-energy particle acceleration. We present a multiw…
Multiwavelength study of non-thermal emission in the Swift J1834.9-0846/W41 region
Manoel F. Sousa, Rita C. Dos Anjos, Vitor de Souza
We investigate the origin of non-thermal emission from the Swift J1834-0846/W41 region by modeling its broadband spectral energy distribution from radio to TeV energies within lept…
Identifying cybersickness causes in virtual reality games using symbolic machine learning algorithms
Thiago Porcino, Erick Oliveira Rodrigues, Flavia Bernardini +2
Virtual reality (VR) and head-mounted displays are constantly gaining popularity in various fields such as education, military, entertainment, and health. Although such technologie…
Applying Deep Learning for cockpit segmentation in the context of mixed reality
Alexandre Leles Sousa, Pedro de Oliveira Nielson, Erick Oliveira Rodrigues +2
Computer vision is an area that has been growing continuously. With the advance of technologies with a first-person view, new development opportunities have emerged inside the area…
A Novel Procedural Generation for Level Design of Mansions and Dungeons
Isaac Fiuza Vieira, Kathya Silvia Collazos Linares, Esteban Walter Gonzalez Clua +1
Procedural Content Generation (PCG) has become an essential technique in game development due to its ability to reduce production time and cost while increasing replayability and v…
A Systematic Evaluation of Current Architectures in Wind Power Forecasting
Vinicius Bortolini, Gilson Adamczuk Oliveira, Erick Oliveira Rodrigues +1
Interval wind speed forecasting is essential for the efficient integration of wind energy into power systems, as it accounts for the inherent uncertainty of wind resources. This st…
High-Synchrotron-Peaked BL Lacs as Multi-Messenger Sources: Connecting Ultra-High-Energy Cosmic Rays and Neutrinos
Luiz Augusto Stuani Pereira, Rita C. Anjos
High-synchrotron-peaked (HSP) BL Lac objects are extreme particle accelerators whose synchrotron emission peaks at high frequencies, typically in the UV-to-X-ray band ($ν_{\rm peak…
Iterative Framework For Data Augmentation Of Segmented Fingerprints
João Leonardo H. D. Agnol, Wesley Augusto de Bona, Erick Oliveira Rodrigues +4
Infant biometrics presents unique challenges due to the physiological differences between infants and adults, compounded by the scarcity of available data for research that limits…
Recursive Class Connectivity Classification (R3C) Applied to Binary Image Segmentation for Improved Infant Fingerprint Enhancement
Joao Leonardo Harres Dall Agnol, Luiz Fernando Puttow Southier, Jefferson Tales 0liva +5
Image enhancement plays a crucial role in infant fingerprint matching, as child-specific characteristics such as smaller finger dimensions and thinner ridge structures often degrad…
Electricity Consumption Forecasting: An Approach Using Cooperative Ensemble Learning with SHapley Additive exPlanations
Eduardo Luiz Alba, Gilson Adamczuk Oliveira, Matheus Henrique Dal Molin Ribeiro +1
Electricity expense management presents significant challenges, as this resource is susceptible to various influencing factors. In universities, the demand for this resource is rap…
Machine learning applied to emerald gemstone grading: framework proposal and creation of a public dataset
FB Pena, D Crabi, Sandro C Izidoro +2
The grading of gemstones is currently a manual procedure performed by gemologists. A popular approach uses reference stones, where those are visually inspected by specialists that…
A Novel Approach for the Counting of Wood Logs Using cGANs and Image Processing Techniques
João VC Mazzochin, Giovani Bernardes Vitor, Gustavo Tiecker +4
This study tackles the challenge of precise wood log counting, where applications of the proposed methodology can span from automated approaches for materials management, surveilla…
ROI Extraction in Thermographic Breast Images Using Genetic Algorithms
LC Mendes, EO Rodrigues, Sandro C Izidoro +2
This work proposes the use of Genetic Algorithms (GA) to identify the area of the breast from the background in thermographic breast images. The proposed method uses color informat…
Local-sensitive connectivity filter (ls-cf): A post-processing unsupervised improvement of the frangi, hessian and vesselness filters for multimodal vessel segmentation
Erick O Rodrigues, Lucas O Rodrigues, João HP Machado +5
A retinal vessel analysis is a procedure that can be used as an assessment of risks to the eye. This work proposes an unsupervised multimodal approach that improves the response of…
ELEMENT: Multi-Modal Retinal Vessel Segmentation Based on a Coupled Region Growing and Machine Learning Approach
Erick O. Rodrigues, Aura Conci, Panos Liatsis
Vascular structures in the retina contain important information for the detection and analysis of ocular diseases, including age-related macular degeneration, diabetic retinopathy…
X-Ray cardiac angiographic vessel segmentation based on pixel classification using machine learning and region growing
E O Rodrigues, L O Rodrigues, J J Lima +6
This work proposes a pixel-classification approach for vessel segmentation in x-ray angiograms. The proposal uses textural features such as anisotropic diffusion, features based on…
Cardiac fat segmentation using computed tomography and an image-to-image conditional generative adversarial neural network
Guilherme Santos da Silva, Dalcimar Casanova, Jefferson Tales Oliva +1
In recent years, research has highlighted the association between increased adipose tissue surrounding the human heart and elevated susceptibility to cardiovascular diseases such a…