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

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

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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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)

Impact of multiunit merging on neural information encoding. حسب 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>" حسب 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>…"

code_4 حسب Olga Ovtsarenko (20432033)

The genetic algorithm. حسب Viktoria Zemliak (19500335)

Risk element category diagram. حسب Yao Hu (3479972)

Depicts the schematic of the algorithm. حسب Dong Hyeok Choi (12562048)

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Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. حسب Dinh K. Tang (20469082)

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

Code for "Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset" حسب Yufeng Ke (16539882)

The folder containing the code is provided as supportive documentation associated with this paper. حسب Quxi Kuang (22493270)

Folder with all data and algorithms حسب Jorge Servert Lerdo de Tejada (22290001)

Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

"…This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.</p></div>…"

Data Sheet 1_A method for finding epistatic effects of maternal and fetal variants.docx حسب Michael Nodzenski (3714730)

"…Though the epistasis-mining algorithms MDR-PDT, TrioFS, and EPISFA-LD were originally designed to find epistatic offspring variants, we generalize them to include maternal SNPs and search more broadly. …"

Comparison of optical and silicon-based neural network implementations. حسب Reyhane Ahmadi (14857363)

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