Search Results - (( model valuation using algorithm ) OR ( java implication based algorithm ))

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  1. 1

    Green building valuation based on machine learning algorithms / Thuraiya Mohd ... [et al.] by Mohd, Thuraiya, Jamil, Syafiqah, Masrom, Suraya, Ab Rahim, Norbaya

    Published 2021
    “…To our knowledge, there is still no implementation of machine learning models on green building valuation features for building price prediction compared to conventional building development. …”
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    Conference or Workshop Item
  2. 2

    Comparison between specifications of linear regression and spatial-temporal autoregressive models in mass appraisal valuation for single storey residential property by Jahanshiri, Ebrahim

    Published 2013
    “…Further, the performance of these models compared to the standard linear model that is widely used in mass appraisal of real properties, was studied. …”
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    Thesis
  3. 3

    Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu by Yusnita, Muhamad Noor

    Published 2018
    “…It can be concluded that the algorithm and model proposed were useful for the development of the prototype. …”
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    Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak by Dak, Ahmad Yusri

    Published 2019
    “…It involves development of Max-Min Rule-Based Classification Algorithm. The fourth stage is to design evaluation methodology of Max-Min Rule-Based Classification Algorithm using classifier model. …”
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    Thesis
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  9. 9

    Machine learning algorithms on price and rent predictions in real estate: A systematic literature review / Muhamad Harussani Abdul Salam ... [et al.] by Abdul Salam, Muhamad Harussani, Mohd, Thuraiya, Masrom, Suraya, Johari, Noraini, Mohamad Saraf, Mohamad Haizam

    Published 2022
    “…Lack of data means lack of support for valuable contributions of property value attributes. The use of existing databases in property valuation assignments presents intrinsic challenges as the valuer could derive incorrect assumptions when analysing value-issued comparable data. …”
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    Conference or Workshop Item
  10. 10

    Evolutionary Integrated Heuristic with Gudermannian Neural Networks for Second Kind of Lane–Emden Nonlinear Singular Models by Kashif, Nisar, Zulqurnain, Sabir, Muhammad Asif Zahoor, Raja, Ag. Asri Ag., Ibrahim, Joel J. P. C., Rodrigues, Adnan, Shahid Khan, Manoj, Gupta, Aldawoud, Kamal, Danda B., Rawat

    Published 2021
    “…In this work, a new heuristic computing design is presented with an artificial intelligence approach to exploit the models with feed-forward (FF) Gudermannian neural networks (GNN) accomplished with global search capability of genetic algorithms (GA) combined with local convergence aptitude of active-set method (ASM), i.e., FF-GNN-GAASM to solve the second kind of Lane–Emden nonlinear singular models (LE-NSM). …”
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    Article
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  12. 12

    Green building factor in machine learning based condominium price prediction by Masrom, S., Mohd, T., Rahman, A.S.A.

    Published 2022
    “…Acknowledging the benefits of green building, Green Certificate and Green Building Index (GBI) has been used as one of the factors in housing prices valuation. …”
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    Article
  13. 13

    Effectiveness of wheel-typed grain design for hybrid rocket motor performance by Kafafy, Raed Ismail, Azami, Hanafi, Idres, Moumen

    Published 2013
    “…An interior ballistic model is used for the analysis of the hybrid rocket performance. …”
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    Proceeding Paper
  14. 14

    Evolutionary integrated heuristic with gudermannian neural networks for second kind of lane– emden nonlinear singular models by Kashif Nisar, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Ag. Asri Ag. Ibrahim, Joel J. P. C. Rodrigues, Adnan Shahid Khan, Manoj Gupta, Aldawoud Kamal, Danda B. Rawat

    Published 2021
    “…In this work, a new heuristic computing design is presented with an artificial intelligence approach to exploit the models with feed-forward (FF) Gudermannian neural networks (GNN) accomplished with global search capability of genetic algorithms (GA) combined with local convergence aptitude of active-set method (ASM), i.e., FF-GNN-GAASM to solve the second kind of Lane–Emden nonlinear singular models (LE-NSM). …”
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    Article
  15. 15

    A Molecular Modelling Approach for Designing a Novel Semisynthetic Metalloenzyme Based on Thermolysin by Jaafar, Ahmad Haniff

    Published 2006
    “…The computational tools used were Computational Atlas Topography of Protein (CASTp), a sophisticated molecular modeling environment InsightII, a conventional drug-docking algorithm Autodock 3.05 and a schematic diagram for protein-ligand interactions for a given PDB file LIGPLOT. …”
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    Thesis