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Flavo Elano Soares de Souza and José Inácio de Jesus Rodrigues
With the growing availability of remote sensing orbital spatial data, the applications of machine learning (ML) algorithms have been leveraging the field of process automation in image classification. The present work aimed to evaluate the precision and ...
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Denilson Alves de Melo, Patrícia Costa Silva, Adriana Rodolfo da Costa, Josué Gomes Delmond, Ana Flávia Alves Ferreira, Johnny Alves de Souza, José Francisco de Oliveira-Júnior, Jhon Lennon Bezerra da Silva, Alexandre Maniçoba da Rosa Ferraz Jardim, Pedro Rogerio Giongo, Maria Beatriz Ferreira, Abelardo Antônio de Assunção Montenegro, Henrique Fonseca Elias de Oliveira, Thieres George Freire da Silva and Marcos Vinícius da Silva
The objective of this study was to develop and calibrate a photovoltaic-powered soil moisture sensor (SMS) for irrigation management. Soil moisture readings obtained from the sensor were compared with gravimetric measurements. An automated SMS was used i...
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Anas Abu Taleb, Qasem Abu Al-Haija and Ammar Odeh
Wireless sensor networks (W.S.N.s) are a critical research area with numerous practical applications. W.S.N.s are utilized in real-life scenarios, including environmental monitoring, healthcare, industrial automation, smart homes, and agriculture. As W.S...
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Muhammad Sami Ur Rehman, Muhammad Tariq Shafiq and Fahim Ullah
The progress monitoring (PM) of construction projects is an essential aspect of project control that enables the stakeholders to make timely decisions to ensure successful project delivery, but ongoing practices are largely manual and document-centric. H...
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Nicoleta Stroia, Daniel Moga, Dorin Petreus, Alexandru Lodin, Vlad Muresan and Mirela Danubianu
The monitoring of power consumption and the forecasting of load profiles for residential appliances are essential aspects of the control of energy savings/exchanges at multiple hierarchical levels: house, house cluster, neighborhood, and city. External e...
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