11
TITLE: A deep learning approach for automatic counting of bedbugs and grape moth
AUTHORS: Ana Cláudia Teixeira ; Raul Morais; Joaquim João Sousa ; Emanuel Peres ; António Cunha ;
PUBLISHED: 2022, SOURCE: 2022 International Conference on ENTERprise Information Systems, CENTERIS 2022 - International Conference on Project MANagement, ProjMAN 2022 and International Conference on Health and Social Care Information Systems and Technologies, HCist 2022 in CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist - International Conference on Health and Social Care Information Systems and Technologies 2022, Hybrid Event / Lisbon, Portugal, November 9-11, 2022., VOLUME: 219
INDEXED IN: Scopus DBLP CrossRef: 4 Unpaywall
IN MY: ORCID
12
TITLE: Using deep learning for automatic detection of insects in traps
AUTHORS: Ana Cláudia Teixeira ; Raul Morais; Joaquim João Sousa ; Emanuel Peres ; António Cunha ;
PUBLISHED: 2022, SOURCE: 2022 International Conference on ENTERprise Information Systems, CENTERIS 2022 - International Conference on Project MANagement, ProjMAN 2022 and International Conference on Health and Social Care Information Systems and Technologies, HCist 2022 in CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist - International Conference on Health and Social Care Information Systems and Technologies 2022, Hybrid Event / Lisbon, Portugal, November 9-11, 2022., VOLUME: 219
INDEXED IN: Scopus DBLP CrossRef: 1 Unpaywall
IN MY: ORCID
13
TITLE: USING DEEP LEARNING FOR DETECTION AND CLASSIFICATION OF INSECTS ON TRAPS
AUTHORS: Teixeira, Ana Claudia ; Ribeiro, Jose; Neto, Alexandre; Morais, Raul; Sousa, Joaquim J. ; Cunha, Antonio ;
PUBLISHED: 2022, SOURCE: IEEE International Geoscience and Remote Sensing Symposium (IGARSS) in 2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), VOLUME: 2022-July
INDEXED IN: Scopus WOS CrossRef Unpaywall
IN MY: ORCID
14
TITLE: Optic disc and cup segmentations for glaucoma assessment using cup-to-disc ratio
AUTHORS: Neto, A; Camera, J; Oliveira, S; Cláudia, A ; Cunha, A ;
PUBLISHED: 2021, SOURCE: 2021 International Conference on ENTERprise Information Systems, CENTERIS 2021 / ProjMAN 2021 - International Conference on Project MANagement / HCist 2021 and International Conference on Health and Social Care Information Systems and Technologies 2021 in Procedia Computer Science, VOLUME: 196
INDEXED IN: Scopus CrossRef: 5
IN MY: ORCID
Page 2 of 2. Total results: 14.