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

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

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

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Flowchart of the study. by Usman Haider (12630481)

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

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

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

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

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

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

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

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

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The genome coding scheme. by Wenbing Shi (5806160)

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

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

Impact of multiunit merging on neural information encoding. by Daniel Suárez-Barrera (22676654)

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Recall results of four algorithms. by Nan Xu (107466)

“…<div><p>Aiming at the problem that traditional network public opinion monitoring and searching are inefficient and can easily cause resource waste, the study firstly, through the dynamic deletion-shortest path algorithm to classify network text, and on this basis, innovatively constructs a text sentiment classification model based on the variant of convolutional neural network and recurrent neural network, and secondly, uses attention mechanism to classify the model. improvement of the classification model by using the attention mechanism. …”

Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>" by Yize Wang (19535173)

“…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…”