Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

(a) Proposed dynamic low RF-complexity DBF architecture. حسب Usman Haider (12630481)

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A chart of associated parameters, along with various other miscellaneous parameters [39]. حسب Usman Haider (12630481)

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Flowchart of the study. حسب Usman Haider (12630481)

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Number of selected antennas per group, NLOS street canyon scenario. حسب Usman Haider (12630481)

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Channel capacity of MIMO system with variable . حسب Usman Haider (12630481)

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Channel capacity of MIMO system with NLOS street canyon scenario. حسب Usman Haider (12630481)

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Channel capacity of MIMO system with LOS street canyon scenario. حسب Usman Haider (12630481)

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Probability of LOS models and average transmit correlation analysis for MIMO system in street canyon and shopping mall scenarios, (a) Probability of LOS models. حسب Usman Haider (12630481)

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Statistical analysis of the (a) Percentage of several subarrays formed (same as the required number of RF chains). حسب Usman Haider (12630481)

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Number of selected antennas per group, LOS street canyon scenario. حسب Usman Haider (12630481)

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Data and code resources. حسب Sam Hall-McMaster (10343795)

Proposed and existing workflows to obtain RF-shim PTX in safe mode. حسب Maryam Arianpouya (12299222)

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The parameter setting of the evolutionary neural network. حسب Wenbing Shi (5806160)

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The genome coding scheme. حسب Wenbing Shi (5806160)

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Schematic diagram of elements in the delivery area. حسب Yingbo Mao (22522192)

Convergence curve of the DBO algorithm. حسب Ma Haohao (22177538)

"…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …"

Computational Domain: The computational domain was discretized using conformal tetrahedral elements, resulting in a total of 926K elements. حسب Martina Bukač (20161460)

The optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)