Pedro Melo-Pinto
Universidade de Trás-os-Montes e Alto Douro
H-index: 28
Europe-Portugal
Top articles of Pedro Melo-Pinto
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Evaluating the generalization ability of deep learning models: An application on sugar content estimation from hyperspectral images of wine grape berries | Expert Systems with Applications | Rui Silva Osvaldo Freitas Pedro Melo-Pinto | 2024/4/9 |
Early yield prediction in different grapevine varieties using computer vision and machine learning | Precision Agriculture | Fernando Palacios Maria P Diago Pedro Melo-Pinto Javier Tardaguila | 2023/4 |
t-SNE: A study on reducing the dimensionality of hyperspectral data for the regression problem of estimating oenological parameters | Artificial Intelligence in Agriculture | Rui Silva Pedro Melo-Pinto | 2023/3/1 |
Boosting the performance of SOTA convolution-based networks with dimensionality reduction: An application on hyperspectral images of wine grape berries | Intelligent Systems with Applications | Rui Silva Osvaldo Gramaxo Freitas Pedro Melo-Pinto | 2023/9/1 |
Multi-agent System for Multimodal Machine Learning Object Detection | Eduardo Coelho Nuno Pimenta Hugo Peixoto Dalila Durães Pedro Melo-Pinto | 2023/8/29 | |
Classification of Fish Species Using Multispectral Data from a Low-Cost Camera and Machine Learning | Remote Sensing | Filipe Monteiro Vasco Bexiga Paulo Chaves Joaquim Godinho David Henriques | 2023/8/9 |
A Framework for Representing, Building and Reusing Novel State-of-the-Art Three-Dimensional Object Detection Models in Point Clouds Targeting Self-Driving Applications | Sensors | António Linhares Silva Pedro Oliveira Dalila Durães Duarte Fernandes Rafael Névoa | 2023/7/15 |
Customizable FPGA-based hardware accelerator for standard convolution processes empowered with quantization applied to LiDAR data | Sensors | João Silva Pedro Pereira Rui Machado Rafael Névoa Pedro Melo-Pinto | 2022/3/11 |
Comparison of different deployment approaches of FPGA-based hardware accelerator for 3d object detection models | Pedro Pereira António Linhares Silva Rui Machado João Silva Dalila Durães | 2022/8/31 | |
Deep learning and computer vision for assessing the number of actual berries in commercial vineyards | biosystems engineering | Fernando Palacios Pedro Melo-Pinto Maria P Diago Javier Tardaguila | 2022/6/1 |
Positron emission tomography image segmentation based on Atanassov’s intuitionistic fuzzy sets | Applied Sciences | Pedro Couto Telmo Bento Humberto Bustince Pedro Melo-Pinto | 2022/5/11 |
Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy | Duarte Fernandes António Silva Rafael Névoa Cláudia Simões Dibet Gonzalez | 2021/4/1 | |
Prediction of sugar content in port wine vintage grapes using machine learning and hyperspectral imaging | Processes | Véronique Gomes Marco S Reis Francisco Rovira-Más Ana Mendes-Ferreira Pedro Melo-Pinto | 2021/7/19 |
Real-time 3D object detection and SLAM fusion in a low-cost LiDAR test vehicle setup | Sensors | Duarte Fernandes Tiago Afonso Pedro Girão Dibet Gonzalez António Silva | 2021/12/15 |
Assessing actual number of grapevine berries using linear methods and machine learning | F Palacios P Melo-Pinto MP Diago R Iñiguez J Tardaguila | 2021/7/19 | |
Towards robust Machine Learning models for grape ripeness assessment | Veronique Gomes Pedro Melo-Pinto | 2021/6/30 | |
A review of different dimensionality reduction methods for the prediction of sugar content from hyperspectral images of wine grape berries | Rui Silva Pedro Melo-Pinto | 2021/12/1 | |
Resource-constrained onboard inference of 3D object detection and localisation in point clouds targeting self-driving applications | Sensors | António Silva Duarte Fernandes Rafael Névoa João Monteiro Paulo Novais | 2021/11/28 |
Object detection under challenging lighting conditions using high dynamic range imagery | IEEE Access | Ratnajit Mukherjee Maximino Bessa Pedro Melo-Pinto Alan Chalmers | 2021/5/20 |
Determination of sugar, pH, and anthocyanin contents in port wine grape berries through hyperspectral imaging: An extensive comparison of linear and non-linear predictive methods | Applied Sciences | Véronique Gomes Ricardo Rendall Marco Seabra Reis Ana Mendes-Ferreira Pedro Melo-Pinto | 2021/11/3 |
Co-Authors
