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Volumn , Issue , 2005, Pages 124-132

LTCC sensors for environmental monitoring system

Author keywords

Ceramic microsystems; Environmental sensors; LTCC technology

Indexed keywords

BIOLOGICAL OXYGEN DEMAND; DATA PROCESSING UNITS; ENVIRONMENTAL MONITORING SYSTEM; ENVIRONMENTAL SENSOR; FUNCTION APPROXIMATION; LTCC TECHNOLOGY; MULTI-LAYER PERCEPTRONS; TIME SERIES PREDICTION;

EID: 33745776423     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (25)
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    • Colon, R.C.1
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    • Roosen, A.. New lamination technique to join ceramic green tapes for the manufacturing of multilayer devices. Journal of the European Ceramic Society, 21 (2001) 1993-1996.
    • (2001) Journal of the European Ceramic Society , vol.21 , pp. 1993-1996
    • Roosen, A.1
  • 8
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    • Optical dilatometer for in situ measurements of warpage effects during firing of LTCC multiplayer structures
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    • Wagner M, Roosen A et al. Optical dilatometer for in situ measurements of warpage effects during firing of LTCC multiplayer structures. IMAPS2002, International Symposium on Microelectronics, Denver. 2002.
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  • 9
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    • Gongora-Rubio, M.R.1
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    • Design of a dissolved oxigen microsensor using low temperature co-fired ceramics (LTCC)
    • Pnebla. Mexico
    • Ferreira M.A.C, Rocha Z. M. and Seabra A.C., Design of a Dissolved Oxigen Microsensor Using Low Temperature Co-fired Ceramics (LTCC), in: Ibersensor 2004, Pnebla. Mexico.
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    • Ferreira, M.A.C.1    Rocha, Z.M.2    Seabra, A.C.3
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    • Neural networks with chaotic recursive nodes: Techniques for the design of associative memories, contrast with hopfield architectures, and extensions for tune- dependent Inputs
    • Elsevier
    • Emilio Del Moral Hernandez. Neural Networks with Chaotic Recursive Nodes: Techniques for the Design of Associative Memories. Contrast with Hopfield Architectures, and Extensions for Tune- dependent Inputs, Neural Networks, Vol.16, n.5/6. Elsevier. 2003.
    • (2003) Neural Networks , vol.16 , Issue.5-6
    • Hernandez, E.D.M.1
  • 16
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    • MLP+H: A hybrid neural architecture formed by the interaction of hopfield and multi- layer perceptron neural networks
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    • Clayton Silva Oliveira, Emilio Del Moral Hernandez. MLP+H: a Hybrid Neural Architecture Formed by the Interaction of Hopfield and Multi- Layer Perceptron Neural Networks. Lecture Notes in Computer Science. Berlin: Sprmger. 2003.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.