Browsing Artículos científicos by autor Ulima "Bedón Monzón, Héctor Manuel"
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Control System to International Parental Child Abduction, Case: Colombia
Ortegón, Giovanni; Samper, Javier; Garcia, Francisco; Bedón Monzón, Héctor Manuel (Springer, 2022)Acceso restringidoAll governments must implement strategies to protect children and adolescents from being removed or abducted from their country of nativity without the authorization of both parents. This article describes the context of ... -
Is It Intelligent? A Systematic Review of Intelligence in the Most Cited Papers in IoT
Grados Licham, Billy; Bedón Monzón, Héctor Manuel (Springer, 2021)Acceso restringidoArtificial intelligence is a buzz word and even more when its accomplishments have challenged our intelligence. However, what is intelligence? Is there a consensus in its meaning for researchers and professionals? Is it ... -
Marine Delay and Disruption Tolerant Networks (MaDTN): Application for Artisanal Fisheries
Bedón Monzón, Héctor Manuel; López Pastor, Jaime; Cedeño Herrera, Edwin; Nieto, C.M. (Springer, 2021)Acceso restringidoThe artisanal fishing activity carried out on the coasts where the production of fish can be exploited is affected by a lack of communication between the vessels in order to provide relevant information related to multiple ... -
Semantic Segmentation of Underwater Environments Using DeepLabv3+ and Transfer Learning
Chicchón Apaza, Miguel Ángel; Bedón Monzón, Héctor Manuel (Springer, 2022)Acceso restringidoThe semantic segmentation approach is essential in automated scene analysis, but its application in underwater environments is still limited. Datasets generally have insufficient labeled data, unbalanced data classes, and ... -
Semantic Segmentation of Weeds and Crops in Multispectral Images by Using a Convolutional Neural Networks Based on U-Net
Chicchón Apaza, Miguel Ángel; Bedón Monzón, Héctor Manuel (Springer, 2020)Acceso restringidoA first step in the process of automating weed removal in precision agriculture is the semantic segmentation of crops, weeds and soil. Deep learning techniques based on convolutional neural networks are successfully applied ... -
Software Components of an IoT Monitoring Platform in Google Cloud Platform: A Descriptive Research and an Architectural Proposal
Grados Licham, Billy; Bedón Monzón, Héctor Manuel (Springer, 2020)Acceso restringidoAs software engineers, it is not an easy task to build a software solution that customers consider easy to use, cost-benefit balanced, secured, high available and prepared for high demand. There are many solutions for ...