G R code algorithm. by R. Sakthivel (2589547)

“…The algorithm was developed and coded in Verilog and simulated using Modelsim. …”

The genetic algorithm. by Viktoria Zemliak (19500335)

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

“…<p dir="ltr">This dataset was designed to fine-tune code-generation models for converting algorithmic statements written in Kannada or English into Python code. …”

Comparison between pyAKI’s generated labels and the labels generated by the MIMIC-code implementation of the KDIGO criteria. by Christian Porschen (12967868)

Data Sheet 1_Semantic composition of robotic solver algorithms on graph structures.pdf by Sven Schneider (1366548)

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Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional by Ryan Stocks (16867476)

“…Kohn–Sham density functional theory (KS-DFT) has become a cornerstone for studying the electronic structure of molecules and materials. Improving algorithmic efficiency through hardware-aware implementations enables application to larger systems and more efficient generation of larger training data sets for machine-learning. …”

The genome coding scheme. by Wenbing Shi (5806160)

Subjects: “…Genetics…”

Maple code for algorithm 3. by Peter Thompson (165468)

Code for MCMC generation of cost matrices for scheduling performance evaluation by Louis-Claude Canon (569406)

Flowchart of hybrid genetic algorithm combining simulated annealing and greedy methods. by Zixi Wang (459102)

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Schematic diagram of the end iterations of the genetic solution after the calculation of the greedy algorithm. by Zixi Wang (459102)

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Schematic diagram of the end iteration of the genetic solution after the calculation of the greedy algorithm. by Zixi Wang (459102)

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Coded file. by Wenxing Wu (16853002)

(a) Supply sequence chart; (b) The genetic code for the supply tasks. by Yanchun Li (248761)

Code and data for <i>Navigating Time's Possibilities: Plausible Counterfactual Explanations for Multivariate Time-Series Forecast through Genetic Algorithms</i> by Gianlucca Zuin (20108547)

“…<p dir="ltr">Data and code for easy reproducibility of results described in the paper <i>Navigating Time's Possibilities: Plausible Counterfactual Explanations for Multivariate Time-Series Forecast through Genetic Algorithms</i><i>, </i>published on the IEEE TrustCom-2024 (23rd IEEE International Conference on Trust, Security and Privacy in Computing and Communications).…”

Code and data. by Shangyang Jin (21772466)

Code might be found under: https://kaggle.com/code/agatasko/anomalies-graph-networks. by Agata Skorupka (20469080)

The ranking of algorithms with MPTM mutation by TOPSIS. by Jalal- ud-Din (21474307)

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The ranking of algorithms with NUM mutation by TOPSIS. by Jalal- ud-Din (21474307)

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The ranking of algorithms with PM mutation by TOPSIS. by Jalal- ud-Din (21474307)

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