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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Risk element category diagram. حسب Yao Hu (3479972)

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)

CycleGAN cycle consistency. حسب Xiaojun Wang (50332)

"…The model comprehensively utilizes the image restoration and style transfer capabilities of the attention mechanism and the cycle consistency adversarial network, and introduces an improved attention module, which can adaptively highlight the key visual elements in the illustration, thereby maintaining artistic integrity during the style transfer process. …"

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 the experimental algorithm. حسب Ronghua Meng (20978441)

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

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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)