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Vicente León-Martínez, Clara Andrada-Monrós, Elisa Peñalvo-López and Juan Ángel Saiz-Jiménez
The main objective is to propose a calculation method for assessing the benefits of individual domestic prosumers in self-consumption and economic savings when managing their own energy resources. The paper applies the demand-side management concept in t...
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Wenqi Gao, Ninghua Chen, Jianyu Chen, Bowen Gao, Yaochen Xu, Xuhua Weng and Xinhao Jiang
Geospatial data, especially remote sensing (RS) data, are of significant importance for public services and production activities. Expertise is critical in processing raw data, generating geospatial information, and acquiring domain knowledge and other r...
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Carlos Serôdio, Pedro Mestre, Jorge Cabral, Monica Gomes and Frederico Branco
In the context of Industry 4.0, this paper explores the vital role of advanced technologies, including Cyber?Physical Systems (CPS), Big Data, Internet of Things (IoT), digital twins, and Artificial Intelligence (AI), in enhancing data valorization and m...
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Md. Jahangir Sarker, Pallab Kumer Sarker, Md. Ariful Islam, Nazmun Naher Rima, Thadickal Viswanathan Joydas, Nahid Sultana, Md. Monirul Islam, Md. Yeamin Hossain and Mohammad Belal Hossain
Certain benthic polychaetes, such as species within the genus Namalycastis, are employed in the diet of gravid shrimps in aquaculture due to their amino acids and highly unsaturated fatty acid content, enhancing the quality of gravid shrimp. Despite its ...
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Anderson Silva Vanin and Peterson Belan
This study showcases the optimization of public lighting systems using computer vision with an emphasis on the YOLO algorithm for pedestrian detection, aiming to reduce energy expenses. In a time when the demand for electricity is escalating due to facto...
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