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Dataset of manually classified images obtained from a construction site 

Almeida Del Savio, Alexandre; Luna, Ana; Cárdenas Salas, Daniel; Vergara Olivera, Mónica Alejandra; Urday, Gianella (Elsevier, 2022)
Acceso abierto
A manually classified dataset of images obtained by four static cameras located around a construction site is presented. Eight object classes, typically found in a construction environment, were considered. The dataset ...
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PhyDaC - Stress Detection from Physiological Data in Cattle : Challenges in IoT 

Suni Lopez, Franci; Mayhua-Quispe, Angela; Condori-Fernandez, Nelly; Flores Quenaya, Elisban (CEUR-WS, 2022)
Acceso abierto
Stress in cattle is one of the main factors that generate economic losses in the livestock sector (e.g., reduction in the quality of milk or meat). In this field, heat stress has been considered as one of the main types ...
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On the relevance of the metadata used in the semantic segmentation of indoor image spaces 

Vasquez Espinoza L.; Castillo Cara, M.; Orozco Barbosa L. (Elsevier, 2021)
Acceso abierto
The study of artificial learning processes in the area of computer vision context has mainly focused on achieving a fixed output target rather than on identifying the underlying processes as a means to develop solutions ...
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Humpback Whale’s Flukes Segmentation Algorithms 

Castro Cabanillas, Andrea; Ayma Quirita, Víctor Hugo (Springer, 2021)
Acceso restringido
Photo-identification consists of the analysis of photographs to identify cetacean individuals based on unique characteristics that each specimen of the same species exhibits. The use of this tool allows us to carry out ...
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Classification of Breast Cancer and Breast Neoplasm Scenarios Based on Machine Learning and Sequence Features from lncRNAs–miRNAs-Diseases Associations 

Gutiérrez-Cárdenas, Juan; Wang, Zenghui (Springer, 2021)
Acceso restringido
The influence of non-coding RNAs, such as lncRNAs (long non-coding RNAs) and miRNAs (microRNAs), is undeniable in several diseases, for example, in the formation of neoplasms and cancer scenarios. However, there are ...
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Source to source compiler for the automatic parallelization of JavaScript code 

Diaz Baskakov, Serguei; Gutierrez Cardenas, Juan Manuel (IEEE, 2021)
Acceso restringido
This work focuses on the development of a source-to-source compiler for the automatic parallelization of JavaScript code. The proposed compiler transforms the input code to an AST (Abstract syntax tree). Afterward, we ...

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Other ContributorAlmeida Del Savio, Alexandre (1)Ayma Quirita, Víctor Hugo (1)Castillo Cara, M. (1)Castro Cabanillas, Andrea (1)Cárdenas Salas, Daniel Enrique (1)Category / SubcategoryPendiente / Pendiente (6)Document typeArtículo de conferencia en Scopus (3)Artículo en Scopus (3)Subject
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Automatic parallelization (1)Breast cancer (1)Breast neoplasms (1)Cattle (1)Date Issued2022 (2)2021 (4)

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