Relevant bibliographies by topics / AQUA SOFTWARE

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Academic literature on the topic 'AQUA SOFTWARE'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "AQUA SOFTWARE"

1

LI, JINGZHOU, and GUENTHER RUHE. "SOFTWARE EFFORT ESTIMATION BY ANALOGY USING ATTRIBUTE SELECTION BASED ON ROUGH SET ANALYSIS." International Journal of Software Engineering and Knowledge Engineering 18, no. 01 (2008): 1–23. http://dx.doi.org/10.1142/s0218194008003532.

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Estimation by analogy (EBA) predicts effort for a new project by learning from the performance of former projects. This is done by aggregating effort information of similar projects from a given historical data set that contains projects, or objects in general, and attributes describing the objects. While this has been successful in general, existing research results have shown that a carefully selected subset, as well as weighting, of the attributes may improve the performance of the estimation methods. In order to improve the estimation accuracy of our former proposed EBA method AQUA, which
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2

Acharya, Swarup, Phillip B. Gibbons, Viswanath Poosala, and Sridhar Ramaswamy. "The Aqua approximate query answering system." ACM SIGMOD Record 28, no. 2 (1999): 574–76. http://dx.doi.org/10.1145/304181.304581.

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3

Muresan, D. D., and T. W. Parks. "Adaptively Quadratic (AQua) Image Interpolation." IEEE Transactions on Image Processing 13, no. 5 (2004): 690–98. http://dx.doi.org/10.1109/tip.2004.826097.

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4

Pohl-Mayerhöfer, Renate, Anneka Beck, Silke Grinke, et al. "Die Online-Netzwerkstatt AQUA e.V. für Promovierende: Weggefährt*innen zwischen Technik, E-Science und Gruppenprozessen." Qualitatives Methodenlernen im Kontext digitaler Medien 21, no. 2-2020 (2021): 233–44. http://dx.doi.org/10.3224/zqf.v21i2.06.

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Die Online-Forschungswerkstatt AQUA besteht seit ca. 17 Jahren, der Beitrag zeichnet nach, in welche Richtung sie sich entwickelte. Nach Darstellung der Genese von AQUA (1) erfolgt eine Anbindung an den Diskurs über die besonderen Herausforderungen der Promotionsphase (2). Es wird die Online-Netzwerkstatt AQUA e.V. in ihrer spezifischen Positionierung als Variante einer Struktur qualitativen Forschens vorgestellt (3). Der Artikel schließt mit der Beschreibung vom Ablauf der Sitzungen, der Lernumgebung und der genutzten Technologie, insbesondere der Nutzung bestimmter Funktionen der neuen Gener
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5

Norvill, Craig, Felix Bockelmann, Patrick Blumenberg, and Simon Goodall. "Investigation of Elekta AQUA software for kilovoltage to megavoltage radiation isocenter coincidence." Physical and Engineering Sciences in Medicine 44, no. 3 (2021): 667–75. http://dx.doi.org/10.1007/s13246-021-01014-1.

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6

Li, Jingzhou, and Guenther Ruhe. "Analysis of attribute weighting heuristics for analogy-based software effort estimation method AQUA+." Empirical Software Engineering 13, no. 1 (2007): 63–96. http://dx.doi.org/10.1007/s10664-007-9054-4.

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7

van Leeuwen, J., M. Holmes, U. Kaeding, R. Daly, and D. Bursill. "Development and implementation of the software mEnCo© to predict coagulant doses for DOC removal at full-scale WTPs in South Australia." Journal of Water Supply: Research and Technology-Aqua 58, no. 4 (2009): 291–98. http://dx.doi.org/10.2166/aqua.2009.054.

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8

Hsiang-Ying Wang, Hsiang-Ying Wang, Rich C. Lee Hsiang-Ying Wang, Hsien-I. Lin Rich C. Lee, and Yung-Yao Chen Hsien-I Lin. "The Challenge of Aqua Creatures Specie Classification in the Aquarium Innovation Theme." 網際網路技術學刊 22, no. 7 (2021): 1473–81. http://dx.doi.org/10.53106/160792642021122207002.

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9

Sunarni, Esse, La Ode Muhammad Yasir Haya, and Nur Irawati. "STUDI SEBARAN SUHU PERMUKAAN LAUT DI PERAIRAN TELUK BONE MENGGGUNAKAN CITRA AQUA MODIS." Jurnal Sapa Laut (Jurnal Ilmu Kelautan) 5, no. 3 (2020): 263. http://dx.doi.org/10.33772/jsl.v5i3.13456.

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Suhu permukaan laut merupakan salah satu parameter oseanografi yang sangat penting bagi kehidupan organisme di lautan. Penelitian ini bertujuan untuk mengetahui sebaran suhu permukaan laut dengan menggunakan citra satelit Aqua MODIS pada perairan Teluk Bone secara spasial dan temporal. Data yang digunakan yaitu data suhu permukaan laut bulanan April 2018-Maret 2019 yang diperoleh dari sensor satelit Aqua MODIS level-3 yang diunduh dari NASA (OCEAN COLOR atau link http://modis.gfsc.nasa.gov/data kemudian pengolahan data citra dilakukan menggunakan software SeaDas. Hasil dari data citra sebaran
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10

Chen, L., C. Kow, N. A. Afira, E. Mok, S. Teng, and A. M. Gilmore. "Use of simultaneous absorbance-transmittance and excitation-emission matrix (A-TEEM) spectroscopy to monitor source water contamination for waterworks." Journal of Water Supply: Research and Technology-Aqua 71, no. 1 (2021): 62–71. http://dx.doi.org/10.2166/aqua.2021.120.

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Abstract Conventional oil-in-water analyzers used by waterworks have hydrocarbon detection limits at mg/L levels and do not identify the type of oil compounds. The objectives of this study were to evaluate a more sensitive optical instrument and the analysis method to (1) determine the signature excitation and emission matrixs of each type of oil (such as diesel, heavy oil, gasoline and kerosene) or their indicator organic compounds and enter them into the instrument's software library and (2) test out the effectiveness of the instrument in detecting the above-mentioned oil in local waterworks
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