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

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

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

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

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

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FALCO Retinal Tracking - Demonstration Videos by Damian Mendroch (20445959)

The genome coding scheme. by Wenbing Shi (5806160)

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<b>Robot_gripper_design</b> by Ma Haohao (19780875)

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Hyperparameters of the pre-trained model. by Guoqing Zhang (151441)

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)

Convergence curve of the DBO algorithm. by 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. …”

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

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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>…”

Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

Comparison of different algorithms. by Jiandong Qiu (20389944)

Comparison of different optimization algorithms. by Hang Zhao (143592)

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code_4 by Olga Ovtsarenko (20432033)

Generator network and discriminator network. by 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. …”

Co-authorship network (graph generated using the force-directed Fruchterman-Reingold algorithm). by Philippine Dupé (21485482)