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Vitor Manuel de Jesus Filipe
AuthID:
R-000-HMA
Publications
Confirmed
To Validate
Document Source:
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Document Type:
All Document Types
Proceedings Paper (76)
Article (49)
Review (5)
Book Chapter (3)
Correction (1)
Unpublished (1)
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Order:
Year Dsc
Year Asc
Cit. WOS Dsc
IF WOS Dsc
Cit. Scopus Dsc
IF Scopus Dsc
Title Asc
Title Dsc
Results:
10
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Confirmed Publications: 135
41
TITLE:
Automatic quality inspection in the automotive industry: A hierarchical approach using simulated data
AUTHORS:
Isabel Rio Torto
;
Ana Teresa Campanico
; Antonio Pereira;
Luis F. Teixeira
;
Vitor Filipe
;
PUBLISHED:
2021
,
SOURCE:
2021 IEEE 8th International Conference on Industrial Engineering and Applications, ICIEA 2021
INDEXED IN:
Scopus
CrossRef
IN MY:
ORCID
42
TITLE:
Characterization of walking patterns using a smartphone in patients with peripheral arterial disease
AUTHORS:
Vítor Filipe
; Miguel Correia; Hugo Paredes; Bruno Pinto;
Ivone Silva
; Catarina Abrantes;
PUBLISHED:
2021
,
SOURCE:
Advances and Current Trends in Biomechanics
INDEXED IN:
CrossRef
IN MY:
ORCID
|
CIÊNCIAVITAE
43
TITLE:
Classification of car parts using deep neural network
AUTHORS:
Khanal, SR
; Amorim, EV;
Filipe, V
;
PUBLISHED:
2021
,
SOURCE:
14th APCA International Conference on Automatic Control and Soft Computing, CONTROLO 2020
in
Lecture Notes in Electrical Engineering,
VOLUME:
695 LNEE
INDEXED IN:
Scopus
CrossRef
:
3
IN MY:
ORCID
|
CIÊNCIAVITAE
44
TITLE:
Engine labels detection for vehicle quality verification in the assembly line: A machine vision approach
AUTHORS:
Capela, S;
Silva, R
;
Khanal, SR
;
Campaniço, AT
;
Barroso, J
;
Filipe, V
;
PUBLISHED:
2021
,
SOURCE:
14th APCA International Conference on Automatic Control and Soft Computing, CONTROLO 2020
in
Lecture Notes in Electrical Engineering,
VOLUME:
695 LNEE
INDEXED IN:
Scopus
CrossRef
:
4
IN MY:
ORCID
|
CIÊNCIAVITAE
45
TITLE:
Factors influencing the success of the implementation of CzRM systems-a literature review [Fatores influenciadores do sucesso da implementação de sistemas CzRM-uma revisão de literatura]
AUTHORS:
Duque, JMP;
Filipe, VMJ
; Moreira, JJM;
PUBLISHED:
2021
,
SOURCE:
RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao,
VOLUME:
2021,
ISSUE:
E45
INDEXED IN:
Scopus
IN MY:
ORCID
|
CIÊNCIAVITAE
46
TITLE:
Intelligent Monitoring and Management Platform for the Prevention of Olive Pests and Diseases, Including IoT with Sensing, Georeferencing and Image Acquisition Capabilities Through Computer Vision
AUTHORS:
Adília Alves;
António Jorge Morais
;
Vítor Filipe
;
José Alberto Pereira
;
PUBLISHED:
2021
,
SOURCE:
Distributed Computing and Artificial Intelligence, Volume 2: Special Sessions 18th International Conference, DCAI 2021, Salamanca, Spain, 6-8 October 2021.,
VOLUME:
332
INDEXED IN:
Scopus
DBLP
CrossRef
IN MY:
ORCID
|
CIÊNCIAVITAE
47
TITLE:
Low-Cost and Reduced-Size 3D-Cameras Metrological Evaluation Applied to Industrial Robotic Welding Operations
AUTHORS:
de Souza, JPC
;
Rocha, LF
;
Filipe, VM
;
Boaventura Cunha, J
;
Moreira, AP
;
PUBLISHED:
2021
,
SOURCE:
IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)
in
2021 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC)
INDEXED IN:
Scopus
WOS
DBLP
CrossRef
:
1
IN MY:
ORCID
|
CIÊNCIAVITAE
48
TITLE:
Measuring Plantar Temperature Changes in Thermal Images Using Basic Statistical Descriptors
AUTHORS:
Filipe, V
;
Teixeira, P
;
Teixeira, A
;
PUBLISHED:
2021
,
SOURCE:
21st International Conference on Computational Science and Its Applications (ICCSA)
in
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2021, PT V,
VOLUME:
12953
INDEXED IN:
Scopus
WOS
CrossRef
:
1
IN MY:
ORCID
|
CIÊNCIAVITAE
49
TITLE:
Predicting Canine Hip Dysplasia in X-Ray Images Using Deep Learning
AUTHORS:
Daniel Adorno Gomes; Maria Sofia Alves-Pimenta;
Mário Ginja
;
Vitor Filipe
;
PUBLISHED:
2021
,
SOURCE:
Communications in Computer and Information Science - Optimization, Learning Algorithms and Applications
INDEXED IN:
CrossRef
:
4
IN MY:
ORCID
|
CIÊNCIAVITAE
50
TITLE:
Two-dimensional and three-dimensional techniques for determining the kinematic patterns for hindlimb obstacle avoidance during sheep locomotion
AUTHORS:
Diogo, CC; Fonseca, B; de Almeida, FSM; da Costa, LM;
Pereira, JE
;
Filipe, V
;
Couto, PA
;
Geuna, S
;
Armada da Silva, PA
;
Mauricio, AC
;
Varejao, ASP
;
PUBLISHED:
2021
,
SOURCE:
CIENCIA RURAL,
VOLUME:
51,
ISSUE:
6
INDEXED IN:
Scopus
WOS
CrossRef
IN MY:
ORCID
|
CIÊNCIAVITAE
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