Luiz Gonzaga Jr

About Luiz Gonzaga Jr

Luiz Gonzaga Jr, With an exceptional h-index of 20 and a recent h-index of 17 (since 2020), a distinguished researcher at Universidade do Vale do Rio dos Sinos, specializes in the field of computational visualization, x-reality, virtual reality, augmented reality.

His recent articles reflect a diverse array of research interests and contributions to the field:

New mean tropospheric temperature models based on machine learning algorithms for Brazil

Flexural properties and fatigue limit of 3D‐printed and milled resin‐based materials

Metaheuristic-based stochastic models for GNSS relative positioning planning

Immersive Paleontological Experience Through Virtual and Augmented Reality Representation

Assisted Multi-Frame Approach for Super-Resolution in UAV Photogrammetric Images

Evaluation of Resampling Techniques to Provide Better Synthesized Input Data to Super-Resolution Deep Learning Model Training

Improving geometric road design through a virtual reality visualization technique

An adaptive spectral index for carbonate rocks using OLI Landsat-8 imagery

Luiz Gonzaga Jr Information

University

Position

Programa de Pós-graduação em Computação Aplicada

Citations(all)

1175

Citations(since 2020)

940

Cited By

451

hIndex(all)

20

hIndex(since 2020)

17

i10Index(all)

29

i10Index(since 2020)

23

Email

University Profile Page

Google Scholar

Luiz Gonzaga Jr Skills & Research Interests

computational visualization

x-reality

virtual reality

augmented reality

Top articles of Luiz Gonzaga Jr

New mean tropospheric temperature models based on machine learning algorithms for Brazil

International Journal of Remote Sensing

2024/4/17

Flexural properties and fatigue limit of 3D‐printed and milled resin‐based materials

Journal of Prosthodontics

2024/3/14

Metaheuristic-based stochastic models for GNSS relative positioning planning

GPS Solutions

2024/1

Immersive Paleontological Experience Through Virtual and Augmented Reality Representation

2023/7/16

Assisted Multi-Frame Approach for Super-Resolution in UAV Photogrammetric Images

2023/7/16

Evaluation of Resampling Techniques to Provide Better Synthesized Input Data to Super-Resolution Deep Learning Model Training

2023/7/16

Improving geometric road design through a virtual reality visualization technique

TRANSPORTES

2023/5/3

An adaptive spectral index for carbonate rocks using OLI Landsat-8 imagery

Geocarto International

2023/12/31

An assisted multi-frame approach for super-resolution in hyperspectral images of rock samples

Computers & Geosciences

2023/12/1

Selection criteria for immediate implant placement and immediate loading for single tooth replacement in the maxillary esthetic zone: A systematic review and meta‐analysis

2023/9

Group 5 ITI Consensus Report: Implant placement and loading protocols

2023/9

Modeling Of Mean Tropospheric Temperature From Convolutional Neural Networks

2023/7/16

Clustering Fracture Data in 3D Outcrop Models with Hierarchical Agglomerative Clustering and Fisher Statistics

2023/7/16

Fire association with respiratory disease and COVID-19 complications in the State of Pará, Brazil

The Lancet Regional Health–Americas

2022/2/1

Method for evaluating roughness and valley areas coefficients of surfaces acquired by laser scanner

Scientific Reports

2022/1/27

3-D reconstruction of rock samples via structure-from-motion for virtual reality applications: A methodological proposal

Geosciences

2022/12/23

An immersive virtual field experience structuring method for geoscience education

IEEE Transactions on Learning Technologies

2022/9/15

An artificial neural network-based critical values for multiple hypothesis testing: data-snooping case

Survey Review

2022/9/3

User-guided data expansion modeling to train deep neural networks with little supervision

IEEE Geoscience and Remote Sensing Letters

2022/8/24

Interactive Fracture Segmentation Based on Optimum Connectivity Between Superpixels

IEEE Geoscience and Remote Sensing Letters

2022/8/18

See List of Professors in Luiz Gonzaga Jr University(Universidade do Vale do Rio dos Sinos)

Co-Authors

academic-engine