Zobrazeno 1 - 10 of 32 pro vyhledávání: '"Nur Sila"'
1
Akademický článek
Parameter Estimation of Autoregressive-Exogenous and Autoregressive Models Subject to Missing Data Using Expectation Maximization
Autor: Matthew Horner, Shamim N. Pakzad, Nur Sila Gulgec
Publikováno v: Frontiers in Built Environment, Vol 5 (2019)
Missing observations may present several problems for statistical analyses on datasets if they are not accounted for. This paper concerns a model-based missing data analysis procedure to estimate the parameters of regression models fit to datasets wi
Externí odkaz: https://doaj.org/article/6f0ac4c342774dcb8cec8e77325f9c47
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2
Report
Finite Difference Neural Networks: Fast Prediction of Partial Differential Equations
Autor: Shi, Zheng, Gulgec, Nur Sila, Berahas, Albert S., Pakzad, Shamim N., Takáč, Martin
Discovering the underlying behavior of complex systems is an important topic in many science and engineering disciplines. In this paper, we propose a novel neural network framework, finite difference neural networks (FDNet), to learn partial differen
Externí odkaz: http://arxiv.org/abs/2006.01892
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3
Report
FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using Hessian-Free Trust-Region Methods
Autor: Gulgec, Nur Sila, Shi, Zheng, Deshmukh, Neil, Pakzad, Shamim, Takáč, Martin
Discovering the underlying physical behavior of complex systems is a crucial, but less well-understood topic in many engineering disciplines. This study proposes a finite-difference inspired convolutional neural network framework to learn hidden part
Externí odkaz: http://arxiv.org/abs/1910.12680
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4
Akademický článek
Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment.
Autor: Gulgec, Nur Sila1 (AUTHOR), Takáč, Martin2 (AUTHOR) mat614@lehigh.edu, Pakzad, Shamim N.1 (AUTHOR)
Publikováno v: Computer-Aided Civil & Infrastructure Engineering. Dec2020, Vol. 35 Issue 12, p1349-1364. 16p.
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5
Aktivitas Meronce Dengan Media Tangkai Ubi Kayu Terhadap Kemampuan Berhitung Permulaan Anak
Autor: Nur Sila, Bujuna Alhadad, Andi Agustan Arifin
Publikováno v: JURNAL ILMIAH CAHAYA PAUD. 3:90-101
Kegiatan meronce dengan media tangkai ubi kayu pada kemampuan berhitung, awal anak merupakan penelitian yang bertujuan untuk meningkatkan kemampuan anak melalui kerja sama dengan orang tua anak dan untuk meningkatkan pelaksanaan perencanaan program d
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c6492227d49e0ec3c4f774d513a03844
https://doi.org/10.33387/cp.v3i1.2183
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6
Uncertainty quantification in digital image correlation for experimental evaluation of deep learning based damage diagnostic
Autor: Nur Sila Gulgec, Shamim N. Pakzad, Martin Takáč
Publikováno v: Structure and Infrastructure Engineering. 17:1459-1473
As the temporal and spatial resolution of monitoring data drastically increases by advances in sensing technology, structural health monitoring applications reach the thresholds of big data. Deep n...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8ffc5dd85b55ba28f1a5697696d28fd5
https://doi.org/10.1080/15732479.2020.1815224
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7
Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment
Autor: Shamim N. Pakzad, Nur Sila Gulgec, Martin Takáč
Publikováno v: Computer-Aided Civil and Infrastructure Engineering. 35:1349-1364
Many of the civil structures experience significant vibrations and repeated stress cycles during their life span. These conditions are the bases for fatigue analysis to accurately establis...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::48b50bca45d04ee7504f03d732e4f360
https://doi.org/10.1111/mice.12565
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8
Multi-LSTM-Based Framework for Ambient Intelligence
Autor: Nur Sila Gulgec, Shamim N. Pakzad, Martin Takáč
Publikováno v: Conference Proceedings of the Society for Experimental Mechanics Series ISBN: 9783030771423
Conference Proceedings of the Society for Experimental Mechanics Series
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1034f7c9e8852ecea4c23fb57856d022
https://doi.org/10.1007/978-3-030-77143-0_8
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9
ANALISIS PERBEDAAN PENDAPATAN ABON IKAN DENGAN JENIS ABON LAIN (STUDI KASUS UD. 'BONESA' KELURAHAN KAMBU KECAMATAN POASIA KOTA KENDARI)
Autor: Nur Sila, Budiyanto, Irdam Riani
Publikováno v: Jurnal Sosial Ekonomi Perikanan; Vol 5, No 2 (2020): JURNAL SOSIAL EKONOMI PERIKANAN
Penelitian ini dilakukan di UD. Bonesa Kelurahan Kambu Kecamatan Poasia Kota Kendari pada bulan Januari sampai Febuari 2018, dengan tujuan penelitian ini untuk mengetahui perbedaan pendapatan abon ikan dengan jenis abon lain (abon sapi, abon ayam) pa
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74fdc2432446d2df1fc36f8701d59a74
http://ojs.uho.ac.id/index.php/JSEP/article/view/14613
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10
Finite Difference Neural Networks: Fast Prediction of Partial Differential Equations
Autor: Martin Takáč, Nur Sila Gulgec, Shamim N. Pakzad, Albert S. Berahas, Zheng Shi
Publikováno v: ICMLA
Discovering the underlying behavior of complex systems is an important topic in many science and engineering disciplines. In this paper, we propose a novel neural network framework, finite difference neural networks (FDNet), to learn partial differen
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::835c8c19df0563cb1c6a4a1537df0c70
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