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akaturk Academic measurement

OpenAlex topic

Advanced Computational Techniques and Applications

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 192 works 1 author topics

Works

192 works

  1. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.8%

    No abstract yet.

  2. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.8%

    No abstract yet.

  3. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.2%

    No abstract yet.

  4. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.2%

    No abstract yet.

  5. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.2%

    No abstract yet.

  6. OpenAlex top 1% OpenAlex 100.0%

    The concept of Building Information Modelling (BIM) has its roots in 2D digital drawings and product modelling. Early modelling efforts emerged in order to provide a solution to data exchange problems between several CAD and analysis systems. BIMs which used STEP as their base standard, adopted STEP data exchange and…

  7. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.6%

    No abstract yet.

  8. YÖKSİS SJR Q3 OpenAlex top 10% OpenAlex 97.3%

    Various heuristic algorithms have been proposed in the literature for solving optimization problems.Tree-seed algorithm (TSA) is inspired from relation between trees and seeds that a population-based evolutionary algorithm.when create process of a seed occur in TSA, the position updating of each dimension of the seed…

  9. YÖKSİS TR Index JCR Q4 OpenAlex top 10% OpenAlex 94.1%

    The objective of this study is twofold: (1) to investigate the factors that affect the success of university students by employing two artificial neural network methods (i.e., multilayer perceptron [MLP] and radial basis function [RBF]); and (2) to compare the effects of these methods on educational data in terms of p…

  10. YÖKSİS SJR Q1 JCR Q1 OpenAlex 85.4%

    No abstract yet.

  11. YÖKSİS SJR Q1 JCR Q1 OpenAlex 85.4%

    No abstract yet.

  12. OpenAlex 66.2%

    An artificial neural network was trained to distinguish between three putatively novel species of Streptomyces using normalised, scaled prolysis mass spectra from three representative strains of each of the taxa, each sampled in triplicate. Once trained, the artificial neural network was challenged with spectral data…

Academicians

1 academicians