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)

“…Decoding from functional magnetic resonance imaging data revealed that solutions from the SF&GPI algorithm were activated on test tasks in visual and prefrontal cortex. …”

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

Subjects: “…crayfish optimization algorithm…”

CY45-0.5/1#9 Code file for data processing and prediction results. by Yanhua Xian (21417128)

Schematic diagram of the experimental algorithm. by Ronghua Meng (20978441)

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

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The CGO risk prediction process based on data augmentation and neuroevolution. by Wenbing Shi (5806160)

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The construction process of the CGO prediction model. by Wenbing Shi (5806160)

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

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”

Accuracy of different electrical and optical neural network on Caltech and ETH-80 data sets. by Reyhane Ahmadi (14857363)

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The actual training effect of four algorithms on original photo data (All images are original images taken by the author). by Xiaojun Wang (50332)

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Algorithm process. by Wei Cui (92129)

GA pseudo-code. by Jianpeng Zhang (528185)

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The Search process of the genetic algorithm. by Wenguang Li (6528113)

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Pseudo-code for the study design model. by Jianpeng Zhang (528185)

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The construction process of the FCM clustering algorithm. by Xini Fang (20861990)

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Processed results from ECG data with the P-T algorithm. by Daehyun Kwon (11985629)

Comparison of Uniform Manifold Approximation and Projection (UMAP)-based and feature-based spike sorting on synthetic data. by Daniel Suárez-Barrera (22676654)

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Comparative analysis of spike sorting using Uniform Manifold Approximation and Projection (UMAP) vs. feature-based methods in in vivo extracellular recordings. by Daniel Suárez-Barrera (22676654)

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