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  • Search: subject:"ASTROPHYSICS"
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Year of publication
Subject
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Astrophysics 3 Astronomy 2 Physics 2 ACCURACY 1 ASTROPHYSICS 1 Astronomy and Astrophysics 1 COSMOLOGY 1 Complex projects 1 Complexity management 1 FORECASTING 1 Fluid and Plasma 1 Geophysics 1 India 1 Information retrieval 1 Information searches 1 Information seeking behaviour 1 Komplexitätsmanagement 1 LEARNING 1 Lean Management 1 Lean Production 1 Lean management 1 Lean product development 1 Lean production 1 Mechanics 1 New product development 1 PHYSICS 1 Produktentwicklung 1 Project evaluation 1 Project management 1 Project performance 1 Projektbewertung 1 Projektmanagement 1 Survey 1 User studies 1 Waste 1 classical and quantum mechanics, general physics 1
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Online availability
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Free 2 Undetermined 2
Type of publication
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Article 2 Other 2 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1 research-article 1
Language
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English 4 Undetermined 1
Author
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Belvedere, Valeria 1 Cuttaia, Francesco 1 Ding, Cheng 1 Friedman, J.H. 1 Hill, Thomas W. 1 Leeuwen, Floor van 1 Nath Singh, Surya 1 Rossi, Monica 1 Sahu, Hemant Kumar 1 Stringhetti, Luca 1
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Institution
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/SLAC /Stanford U., Phys. Dept. 1
Published in...
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Aslib Proceedings 1 Astrophysics and space science library 1 International journal of project management : the journal of The International Project Management Association 1
Source
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BASE 2 ECONIS (ZBW) 1 USB Cologne (EcoSocSci) 1 Other ZBW resources 1
Showing 1 - 5 of 5
Did you mean: subject:"astrophysik" (73 results)
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Mapping wastes in complex projects for Lean Product Development
Belvedere, Valeria; Cuttaia, Francesco; Rossi, Monica; … - In: International journal of project management : the … 37 (2019) 3, pp. 410-424
Persistent link: https://www.econbiz.de/10012003241
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Separating Signal From Background Using Ensembles of Rules
Friedman, J.H. - /SLAC /Stanford U., Phys. Dept. - 2008
Machine learning has emerged as a important tool for separating signal events from associated background in high energy particle physics experiments. This paper describes a new machine learning method based on ensembles of rules. Each rule consists of a conjuction of a small number of simple...
Persistent link: https://www.econbiz.de/10009436712
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Information seeking behaviour of astronomy/astrophysics scientists
Sahu, Hemant Kumar; Nath Singh, Surya - In: Aslib Proceedings 65 (2013) 2, pp. 109-142
the information seeking behaviour and information needs of Indian astronomy/astrophysics academics, including the … and was also available online. Some 400 academics from 12 astronomy and astrophysics information centres and libraries …‐fields of Indian astronomy/astrophysics, and highlights the value of information seeking behaviour to scientists working in …
Persistent link: https://www.econbiz.de/10014671739
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Hipparcos, the New Reduction of the Raw Data
Leeuwen, Floor van - 2007
Persistent link: https://www.econbiz.de/10004891110
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Mapping magnetic flux tubes and field aligned currents using two representative magnetospheric models
Ding, Cheng; Ding, Cheng - 1993
Among available quantitative magnetospheric models, the Tsyganenko models represent empirical modeling, while the Toffoletto and Hill model is theoretical analysis. By mapping flux tubes between the ionosphere and the magnetosphere, those two models are analyzed and compared. Both the implied...
Persistent link: https://www.econbiz.de/10009441865
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