Schematic of the suggested ROSA network for 16-element linear array consisting of power division, phase control, amplitude control of primary and secondary array. حسب Maryam Shadi (14237349)

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Comparison of the results of our code in with references for some cases. حسب Maryam Shadi (14237349)

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Schematic of the designed ROSA network, including power division, BFN, pase compensation and phase shifter units, for which the geometry parameters are L-PD = 17.54, L-BFN = 84.5,... حسب Maryam Shadi (14237349)

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The definition of parameters of Eq 1. حسب Maryam Shadi (14237349)

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Fig 9 - حسب Maryam Shadi (14237349)

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Show parameter <i>N</i>_<i>x</i> for different topologies. حسب Maryam Shadi (14237349)

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Fig 5 - حسب Maryam Shadi (14237349)

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Fig 3 - حسب Maryam Shadi (14237349)

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Fig 8 - حسب Maryam Shadi (14237349)

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Fig 6 - حسب Maryam Shadi (14237349)

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Fig 11 - حسب Maryam Shadi (14237349)

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Normalized radiation patterns with GAPSO amplitude and phase tapering for ± 25° scan for aperiodic array in 28 GHz. حسب Maryam Shadi (14237349)

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Guideline of the proposed methodology. حسب Maryam Shadi (14237349)

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A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

"…</p><p dir="ltr">Astrocytes were dissociated from E18 mouse cortical tissue, and image data were processed using a Cellpose 2.0 model to mask nuclei. Pixel paths were classified using a z-score brightness threshold of 1.21, optimized for noise reduction and accuracy. …"

datasheet1_Decarbonization in Complex Energy Systems: A Study on the Feasibility of Carbon Neutrality for Switzerland in 2050.docx حسب Xiang Li (114679)

datasheet1_Decarbonization in Complex Energy Systems: A Study on the Feasibility of Carbon Neutrality for Switzerland in 2050.docx حسب Xiang Li (114679)

Flowchart scheme of the ML-based model. حسب Noshaba Qasmi (20405009)

"…<b>I)</b> Testing data consisting of 20% of the entire dataset. <b>J)</b> Optimization of hyperparameter tuning. <b>K)</b> Algorithm selection from all models. …"

Table_3_Exploring Deep Learning for Complex Trait Genomic Prediction in Polyploid Outcrossing Species.docx حسب Laura M. Zingaretti (8409285)

"…Although numerous examples of GP exist in plants and animals, applications to polyploid organisms are still scarce, partly due to limited genome resources and the complexity of this system. Deep learning (DL) techniques comprise a heterogeneous collection of machine learning algorithms that have excelled at many prediction tasks. …"

Table_2_Exploring Deep Learning for Complex Trait Genomic Prediction in Polyploid Outcrossing Species.docx حسب Laura M. Zingaretti (8409285)

"…Although numerous examples of GP exist in plants and animals, applications to polyploid organisms are still scarce, partly due to limited genome resources and the complexity of this system. Deep learning (DL) techniques comprise a heterogeneous collection of machine learning algorithms that have excelled at many prediction tasks. …"

Image_1_Exploring Deep Learning for Complex Trait Genomic Prediction in Polyploid Outcrossing Species.pdf حسب Laura M. Zingaretti (8409285)

"…Although numerous examples of GP exist in plants and animals, applications to polyploid organisms are still scarce, partly due to limited genome resources and the complexity of this system. Deep learning (DL) techniques comprise a heterogeneous collection of machine learning algorithms that have excelled at many prediction tasks. …"