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Refinado por: Base de dados/Biblioteca: Open Access: PubMed Central remover Nome da Publicação: Sensors remover ROAD: Directory of Open Access Scholarly Resources remover
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Comparative Study of Machine-Learning Frameworks for the Elaboration of Feed-Forward Neural Networks by Varying the Complexity of Impedimetric Datasets Synthesized Using Eddy Current Sensors for the Characterization of Bi-Metallic Coins
Comparative Study of Machine-Learning Frameworks for the Elaboration of Feed-Forward Neural Networks by Varying the Complexity of Impedimetric Datasets Synthesized Using Eddy Current Sensors for the Characterization of Bi-Metallic Coins
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Comparative Study of Machine-Learning Frameworks for the Elaboration of Feed-Forward Neural Networks by Varying the Complexity of Impedimetric Datasets Synthesized Using Eddy Current Sensors for the Characterization of Bi-Metallic Coins

Munjal, Rohan ; Arif, Sohaib ; Wendler, Frank ; Kanoun, Olfa

Sensors (Basel, Switzerland), 2022-02, Vol.22 (4), p.1312 [Periódico revisado por pares]

Switzerland: MDPI AG

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LiG Metrology, Correlated Error, and the Integrity of the Global Surface Air-Temperature Record
LiG Metrology, Correlated Error, and the Integrity of the Global Surface Air-Temperature Record
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LiG Metrology, Correlated Error, and the Integrity of the Global Surface Air-Temperature Record

Frank, Patrick

Sensors (Basel, Switzerland), 2023-06, Vol.23 (13), p.5976 [Periódico revisado por pares]

Switzerland: MDPI AG

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