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Filipe Baptista Neves dos Santos
AuthID:
R-002-RGT
Publications
Confirmed
To Validate
Document Source:
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Document Type:
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Proceedings Paper (63)
Article (54)
Review (6)
Book Chapter (3)
Unpublished (2)
Article in Press (2)
Year Start - End:
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Order:
Year Dsc
Year Asc
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Results:
10
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Confirmed Publications: 130
21
TITLE:
YOLO-Based Tree Trunk Types Multispectral Perception: A Two-Genus Study at Stand-Level for Forestry Inventory Management Purposes
AUTHORS:
da Silva, Daniel Queiros
;
Dos Santos, Filipe Neves
;
Filipe, Vitor
;
Sousa, Armando Jorge
;
Pires, E. J. Solteiro
;
PUBLISHED:
2024
,
SOURCE:
IEEE ACCESS,
VOLUME:
12
INDEXED IN:
Scopus
WOS
DBLP
CrossRef
Unpaywall
IN MY:
ORCID
22
TITLE:
2D LiDAR-Based System for Canopy Sensing in Smart Spraying Applications
AUTHORS:
Baltazar, Andre Rodrigues
;
Dos Santos, Filipe Neves
; De Sousa, Miguel Leao;
Moreira, Antonio Paulo
;
Cunha, Jose Boaventura
;
PUBLISHED:
2023
,
SOURCE:
IEEE ACCESS,
VOLUME:
11
INDEXED IN:
WOS
DBLP
CrossRef
:
5
Unpaywall
IN MY:
ORCID
23
TITLE:
A Review on Quadruped Manipulators
AUTHORS:
Lopes, Maria S.
;
Moreira, Antonio Paulo
;
Silva, Manuel F.
;
Santos, Filipe
;
PUBLISHED:
2023
,
SOURCE:
22nd EPIA Conference on Artificial Intelligence (EPIA)
in
PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2023, PT I,
VOLUME:
14115
INDEXED IN:
Scopus
WOS
DBLP
CrossRef
:
1
Unpaywall
IN MY:
ORCID
24
TITLE:
Automated Infield Grapevine Inflorescence Segmentation Based on Deep Learning Models
AUTHORS:
Germano Moreira
;
Sandro Augusto Magalhães
;
Filipe Neves dos Santos
;
Mário Cunha
;
PUBLISHED:
2023
,
SOURCE:
IECAG 2023
INDEXED IN:
CrossRef
IN MY:
ORCID
25
TITLE:
Benchmarking edge computing devices for grape bunches and trunks detection using accelerated object detection single shot multibox deep learning models
Full Text
AUTHORS:
Magalhaes, Sandro Costa
;
dos Santos, Filipe Neves
; Machado, Pedro;
Moreira, Antonio Paulo
;
Dias, Jorge
;
PUBLISHED:
2023
,
SOURCE:
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE,
VOLUME:
117,
ISSUE:
Part
INDEXED IN:
Scopus
WOS
DBLP
CrossRef
:
2
Unpaywall
IN MY:
ORCID
26
TITLE:
Computer Vision and Deep Learning as Tools for Leveraging Dynamic Phenological Classification in Vegetable Crops
AUTHORS:
Rodrigues, Leandro
;
Magalhaes, Sandro Augusto
;
da Silva, Daniel Queiros
;
dos Santos, Filipe Neves
;
Cunha, Mario
;
PUBLISHED:
2023
,
SOURCE:
AGRONOMY-BASEL,
VOLUME:
13,
ISSUE:
2
INDEXED IN:
Scopus
WOS
CrossRef
:
8
IN MY:
ORCID
27
TITLE:
Deep Learning YOLO-Based Solution for Grape Bunch Detection and Assessment of Biophysical Lesions
AUTHORS:
Pinheiro, Isabel
;
Moreira, Germano
;
da Silva, Daniel Queiros
;
Magalhaes, Sandro
;
Valente, Antonio
;
Oliveira, Paulo Moura
;
Cunha, Mario
;
Santos, Filipe
;
PUBLISHED:
2023
,
SOURCE:
AGRONOMY-BASEL,
VOLUME:
13,
ISSUE:
4
INDEXED IN:
Scopus
WOS
CrossRef
:
15
Unpaywall
IN MY:
ORCID
28
TITLE:
Deep Learning-Based Tree Stem Segmentation for Robotic Eucalyptus Selective Thinning Operations
AUTHORS:
da Silva, Daniel Queiros
; Rodrigues, Tiago Ferreira;
Sousa, Armando Jorge
;
dos Santos, Filipe Neves
;
Filipe, Vitor
;
PUBLISHED:
2023
,
SOURCE:
22nd EPIA Conference on Artificial Intelligence (EPIA)
in
PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2023, PT II,
VOLUME:
14116
INDEXED IN:
Scopus
WOS
DBLP
CrossRef
Unpaywall
IN MY:
ORCID
29
TITLE:
Design and Control Architecture of a Triple 3 DoF SCARA Manipulator for Tomato Harvesting
AUTHORS:
Tinoco, Vitor
;
Silva, Manuel F.
;
Santos, Filipe N.
;
Magalhaes, Sandro
;
Morais, Raul
;
PUBLISHED:
2023
,
SOURCE:
IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)
in
2023 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS, ICARSC
INDEXED IN:
Scopus
WOS
CrossRef
Unpaywall
IN MY:
ORCID
30
TITLE:
Enhancing Grape Brix Prediction in Precision Viticulture: A Benchmarking Study of Predictive Models using Hyperspectral Proximal Sensors
AUTHORS:
Maria Santos-Campos;
Renan Tosin
;
Leandro Rodrigues
; Igor Gonçalves; Catarina Barbosa;
Rui Martins
;
Filipe Santos
;
Mário Cunha
;
PUBLISHED:
2023
,
SOURCE:
The 3rd International Electronic Conference on Agronomy
INDEXED IN:
CrossRef
IN MY:
ORCID
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