Các bài viết có thể truy cập công khai - Pedro Melo-PintoTìm hiểu thêm
Không có ở bất kỳ nơi nào: 15
Brix, pH and anthocyanin content determination in whole Port wine grape berries by hyperspectral imaging and neural networks
AM Fernandes, C Franco, A Mendes-Ferreira, A Mendes-Faia, ...
Computers and Electronics in Agriculture 115, 88-96, 2015
Các cơ quan ủy nhiệm: Fundação para a Ciência e a Tecnologia, Portugal
Lamb muscle discrimination using hyperspectral imaging: Comparison of various machine learning algorithms
JA Sanz, AM Fernandes, E Barrenechea, S Silva, V Santos, N Gonçalves, ...
Journal of Food Engineering 174, 92-100, 2016
Các cơ quan ủy nhiệm: Government of Spain
Use of visible and short-wave near-infrared hyperspectral imaging to fingerprint anthocyanins in intact grape berries
MP Diago, J Fernandez-Novales, AM Fernandes, P Melo-Pinto, ...
Journal of agricultural and food chemistry 64 (40), 7658-7666, 2016
Các cơ quan ủy nhiệm: Fundação para a Ciência e a Tecnologia, Portugal
Characterization of neural network generalization in the determination of pH and anthocyanin content of wine grape in new vintages and varieties
V Gomes, A Fernandes, P Martins-Lopes, L Pereira, AM Faia, ...
Food chemistry 218, 40-46, 2017
Các cơ quan ủy nhiệm: Fundação para a Ciência e a Tecnologia, Portugal
Role of elbow incongruity in canine elbow dysplasia: advances in diagnostics and biomechanics
S Alves-Pimenta, MM Ginja, B Colaço
Veterinary and Comparative Orthopaedics and Traumatology 32 (02), 087-096, 2019
Các cơ quan ủy nhiệm: Fundação para a Ciência e a Tecnologia, Portugal
A review of different dimensionality reduction methods for the prediction of sugar content from hyperspectral images of wine grape berries
R Silva, P Melo-Pinto
Applied Soft Computing 113, 107889, 2021
Các cơ quan ủy nhiệm: Fundação para a Ciência e a Tecnologia, Portugal
Determination of sugar content in whole Port Wine grape berries combining hyperspectral imaging with neural networks methodologies
VM Gomes, AM Fernandes, A Faia, P Melo-Pinto
2014 IEEE Symposium on Computational Intelligence for Engineering Solutions …, 2014
Các cơ quan ủy nhiệm: Fundação para a Ciência e a Tecnologia, Portugal
Detecting and grading severity of bacterial spot caused by Xanthomonas spp. in tomato (Solanum lycopersicon) fields using visible spectrum images
DL Borges, STCM Guedes, AR Nascimento, P Melo-Pinto
Computers and Electronics in Agriculture 125, 149-159, 2016
Các cơ quan ủy nhiệm: Fundação para a Ciência e a Tecnologia, Portugal
Applying aggregation and pre-aggregation functions in the classification of grape berries
G Lucca, JA Sanz, H Bustince, GP Dimuro, V Gomes, RCC Madureira, ...
2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2018
Các cơ quan ủy nhiệm: Fundação para a Ciência e a Tecnologia, Portugal, Government of Spain
Segmentation of color images using a linguistic 2-tuples model
R Orduna, A Jurio, D Paternain, H Bustince, P Melo-Pinto, E Barrenechea
Information Sciences 258, 339-352, 2014
Các cơ quan ủy nhiệm: Government of Spain
A review of the application to emergent subfields in viticulture of local reflectance and interactance spectroscopy combined with soft computing and multivariate analysis
A Fernandes, V Gomes, P Melo-Pinto
Soft computing for sustainability science, 87-115, 2018
Các cơ quan ủy nhiệm: Fundação para a Ciência e a Tecnologia, Portugal
Towards robust machine learning models for grape ripeness assessment
V Gomes, P Melo-Pinto
2021 18th International Joint Conference on Computer Science and Software …, 2021
Các cơ quan ủy nhiệm: Fundação para a Ciência e a Tecnologia, Portugal
Comparison of different deployment approaches of FPGA-based hardware accelerator for 3d object detection models
P Pereira, A Linhares Silva, R Machado, J Silva, D Durães, J Machado, ...
EPIA Conference on Artificial Intelligence, 285-296, 2022
Các cơ quan ủy nhiệm: Fundação para a Ciência e a Tecnologia, Portugal
Multiple JSON Web Tokens for Mobile Distributed Applications.
P Mestre, R Madureira, P Melo-Pinto, C Serodio
Engineering Letters 26 (2), 2018
Các cơ quan ủy nhiệm: Fundação para a Ciência e a Tecnologia, Portugal
Early detection of downy mildew in vineyards using deep neural networks for semantic segmentation
I Hernández, R Silva, P Melo-Pinto, S Gutiérrez, J Tardaguila
Biosystems Engineering 252, 15-31, 2025
Các cơ quan ủy nhiệm: European Commission
Có tại một số nơi: 21
Comparison of different approaches for the prediction of sugar content in new vintages of whole Port wine grape berries using hyperspectral imaging
VM Gomes, AM Fernandes, A Faia, P Melo-Pinto
Computers and Electronics in Agriculture 140, 244-254, 2017
Các cơ quan ủy nhiệm: Fundação para a Ciência e a Tecnologia, Portugal
Early yield prediction in different grapevine varieties using computer vision and machine learning
F Palacios, MP Diago, P Melo-Pinto, J Tardaguila
Precision Agriculture 24 (2), 407-435, 2023
Các cơ quan ủy nhiệm: Fundação para a Ciência e a Tecnologia, Portugal
Application of hyperspectral imaging and deep learning for robust prediction of sugar and pH levels in wine grape berries
V Gomes, A Mendes-Ferreira, P Melo-Pinto
Sensors 21 (10), 3459, 2021
Các cơ quan ủy nhiệm: Fundação para a Ciência e a Tecnologia, Portugal
Grapevine variety identification using “Big Data” collected with miniaturized spectrometer combined with support vector machines and convolutional neural networks
AM Fernandes, AB Utkin, J Eiras-Dias, J Cunha, J Silvestre, P Melo-Pinto
Computers and Electronics in Agriculture 163, 104855, 2019
Các cơ quan ủy nhiệm: Fundação para a Ciência e a Tecnologia, Portugal
Using support vector regression and hyperspectral imaging for the prediction of oenological parameters on different vintages and varieties of wine grape berries
R Silva, V Gomes, A Mendes-Faia, P Melo-Pinto
Remote Sensing 10 (2), 312, 2018
Các cơ quan ủy nhiệm: Fundação para a Ciência e a Tecnologia, Portugal
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