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  • Deep dictionary learning with reconstruction for texture recognition

    Deep dictionary learning with reconstruction for texture recognition

    Experimental setting

    To validate our method, we utilized the LMT-108 dataset46 containing 108 different objects which are divided into 9 categories: 1) Meshes; 2) Stones; 3) Glossy; 4) Wood Types; 5) Rubbers; 6) Fibers; 7) Foams; 8) Foils and…

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  • Genetically programmable optical random neural networks

    Genetically programmable optical random neural networks

    Numerical studies

    Before constructing the experimental setup, we make use of an accurate beam propagation method (BPM) simulation to validate our main idea of controlling optical random projection. The details of the simulation are given in…

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  • Servant leadership effects on teacher wellbeing and enthusiasm in Turkish schools and the moderating influence of distributed leadership

    Servant leadership effects on teacher wellbeing and enthusiasm in Turkish schools and the moderating influence of distributed leadership

  • Vergara, C. R. & Grit Self-efficacy and goal orientation: A correlation to achievement in statistics. Int. J. Educ. Res. 8, 89–106 (2020).

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  • Acton, R. & Glasgow, P. Teacher well-being in…

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  • Prediction of exosomal miRNA-based biomarkers for liquid biopsy

    Prediction of exosomal miRNA-based biomarkers for liquid biopsy

    Data collection and preprocessing

    In this study, datasets were created using the data extracted from the databases: RNALocate and miRbase37,38. We collected the experimentally validated exosomal miRNA sequences from RNALocate. It contained about…

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