Search alternatives:
process optimization » model optimization (Expand Search)
based optimization » whale optimization (Expand Search)
image process » damage process (Expand Search), image processing (Expand Search), simple process (Expand Search)
dietary data » history data (Expand Search)
data based » data used (Expand Search)
process optimization » model optimization (Expand Search)
based optimization » whale optimization (Expand Search)
image process » damage process (Expand Search), image processing (Expand Search), simple process (Expand Search)
dietary data » history data (Expand Search)
data based » data used (Expand Search)
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Thesis-RAMIS-Figs_Slides
Published 2024“…<br><br>Finally, although the developed concepts, ideas and algorithms have been developed for inverse problems in geostatistics, the results are applicable to a wide range of disciplines where similar sampling problems need to be faced, included but not limited to design of communication networks, optimal integration and communication of swarms of robots and drones, remote sensing.…”
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Nutritional strategies in the rehabilitation of musculoskeletal injuries in athletes: a systematic integrative review - PROTOCOL
Published 2022“…Similar to previously published articles [2], the review methodology was enhanced by optimizing the stages of literature search, data evaluation and data analysis in order to systematize the review process and improve the scientific soundness according to recommendations given by Hopia et al. [3] and the PRISMA in Exercise, Rehabilitation, Sport Medicine and Sports Science (PERSiST) guidelines [4]. …”
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Data_Sheet_1_Evaluation of nutritional status and clinical depression classification using an explainable machine learning method.docx
Published 2023“…</p>Methods<p>This study aimed to determine the ability of machine learning-based decision support methods to identify the presence of depression using publicly available health data from the Korean National Health and Nutrition Examination Survey. …”
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Image_1_Evaluation of nutritional status and clinical depression classification using an explainable machine learning method.JPEG
Published 2023“…</p>Methods<p>This study aimed to determine the ability of machine learning-based decision support methods to identify the presence of depression using publicly available health data from the Korean National Health and Nutrition Examination Survey. …”
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Image_2_Evaluation of nutritional status and clinical depression classification using an explainable machine learning method.JPEG
Published 2023“…</p>Methods<p>This study aimed to determine the ability of machine learning-based decision support methods to identify the presence of depression using publicly available health data from the Korean National Health and Nutrition Examination Survey. …”
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Fortran & C++: design fractal-type optical diffractive element
Published 2022“…</p> <p>(2) calculate diffraction fields for fractal and/or grid-matrix (binary) phase-holograms.</p> <p>(3) optimize the fractal and/or grid-matrix holograms for given target diffraction images, using annealing algorithms. …”