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

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. …”

Image 1_Plagiarism types and detection methods: a systematic survey of algorithms in text analysis.jpeg by Altynbek Amirzhanov (20887919)

“…We highlight notable works focusing on cross-language plagiarism detection, source code plagiarism, and intrinsic detection techniques, identifying their contributions and limitations. …”

Pseudo-code of MACOA. by Xingtao Wu (22139242)

Generation of a Position Weight Matrix (PWM) from a set of infected PE files by Paul A. Gagniuc (1818325)

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

Subjects:

Distribution of original measurements (blue line) and imputed measurements (red line) for missing values using multiple imputation with chain equation (MICE). by Jia Wei (120974)

Subjects:

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

Code. by Wenyuan Xu (2553028)

Data&Code by anonymous author (20478659)

Coded file. by Wenxing Wu (16853002)

Data&Codes.rar by anonymous author (20478659)

MD5 signatures from specific regions from a set of files by Paul A. Gagniuc (1818325)

Subjects: “…Data structures and algorithms…”

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

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

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

MD5 signatures from combined file regions by Paul A. Gagniuc (1818325)

Subjects:

Visualization of algorithm detection results. by Xinpeng Yao (18882573)

“…<div><p>Aiming at the problem that small and irregular detection targets such as cyclists have low detection accuracy and inaccurate recognition by existing 3D target detection algorithms, MAT-PointPillars (Multi-scale Attention and Transformer PointPillars), a 3D object detection algorithm, extends PointPillars with multi-scale vision Transformers and attention mechanisms. …”

Local Means Thresholding Algorithm shows high robustness. by Araven Tiroumalechetty (17827252)

Elementary effects (EE) results for chorionic vessel generation employing the input parameter ranges from Table 1. by Diana C. de Oliveira (9220729)

S1 Data - CSW-YOLO: A traffic sign small target detection algorithm based on YOLOv8 by Qian Shen (89639)

Subjects: “…existing mainstream algorithms…”