يعرض 1 - 20 نتائج من 28 نتيجة بحث عن '(( element g algorithm ) OR ((( waste processing algorithm ) OR ( neural coding algorithm ))))', وقت الاستعلام: 0.13s تنقيح النتائج
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    Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network حسب Fares Almomani (12585685)

    منشور في 2020
    "…<p dir="ltr">The present study evaluates the effect of co-digestion of agricultural solid wastes (ASWs), cow manure (CM), and the application of chemical pre-treatment with NaHCO<sub>3</sub> on the performance of anaerobic digestion (AD) process. …"
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    Investigation of Forming a Framework to shortlist contractors in the tendering phase حسب DABASH, MOHANNAD SALAH

    منشور في 2022
    "…The model to shortlist contractors in the tendering phase was created using machine learning to enable more contractors to submit for a project without having to waste time and money on the tendering process; if they are compatible with the project, then they have a high chance of getting it by being short-listed for the project, which they can then submit their tender package for; this will also ensure that the best company gets the job for the client which will act as a great step towards improving the tendering in construction projects. …"
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    Assessment of static pile design methods and non-linear analysis of pile driving حسب Abou-Jaoude, Grace G.

    منشور في 2006
    "…The pile/soil interaction system is described by a mass/spring/dashpot system where the properties of each component are derived from rigorous analytical solutions or finite element analysis. The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …"
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    masterThesis
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    A hybrid approach for XML similarity حسب Tekli, Joe

    منشور في 2007
    "…Owing to an unparalleled increasing use of the XML standard, developing efficient techniques for comparing XML-based documents becomes essential in information retrieval (IR) research. Various algorithms for comparing hierarchically structured data, e.g. …"
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    conferenceObject
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