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

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

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

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Fig 9 - by Maryam Shadi (14237349)

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

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Fig 5 - by Maryam Shadi (14237349)

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Fig 3 - by Maryam Shadi (14237349)

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Fig 8 - by Maryam Shadi (14237349)

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Fig 6 - by Maryam Shadi (14237349)

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Fig 11 - by 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. by Maryam Shadi (14237349)

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

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

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

Table_3_Exploring Deep Learning for Complex Trait Genomic Prediction in Polyploid Outcrossing Species.docx by 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 by 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 by 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_1_Exploring Deep Learning for Complex Trait Genomic Prediction in Polyploid Outcrossing Species.docx by 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. …”

Scalable software infrastructures for knowledge graphs by Ariful Azad (21773021)

“…The second layer implements highly optimized parallel algorithms for these operations. …”