Code for Most Likely Paths Calculation_ERP by Mengqi Yang (21263402)

Pseudocode of the WACO algorithm. by Chattriya Jariyavajee (12822281)

“…<div><p>This study addresses a cutting stock problem in steel cutting industry by developing a mathematical model in which machine specifications and cutting conditions are constraints. The solution process involves three key steps: (i) Problem representation, where feasible cutting solutions are modeled based on pre-cut steel bars and customer orders, (ii) Problem space reduction, which reduces the problem space by eliminating suboptimal solutions and following manufacturer loss limits, and (iii) Optimal solution search, whereas the optimal solution is identified using a new Adaptive Pathfinding Optimization Algorithm. …”

Element model generation method with geometric distribution errors by Yiqi Liu (21357815)

“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”

Access control pseudo-code. by Yonggang Huang (223155)

A sequence of intermediate solutions produced by the top-down phase on the input of Fig 1, leading to an optimal solution (step 5). by Jordan Moutet (21800145)

Subjects:

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. 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.…”

Data and code used in this article. by Feng Shen (151470)

Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm. by Jiren CAO (20442214)

Antivirus Engines (PowerPoint) by Paul A. Gagniuc (1818325)

Subjects:

Comparison of PSNR values of different algorithms. by Xiaojun Wang (50332)

Subjects:

Changes in FID values of different algorithms. by Xiaojun Wang (50332)

Subjects:

Comparison of SSIM values of different algorithms. by Xiaojun Wang (50332)

Subjects:

Changes in loss values for different algorithms. by Xiaojun Wang (50332)

Subjects:

source code of the PyMatterSim package by Y.-C. Hu (21440990)

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

“…The data is stored in JSON format under the following labels:</p><ul><li><b>"kannada text"</b> – Kannada algorithmic statement</li><li><b>"text"</b> – English algorithmic statement</li><li><b>"code"</b> – Expected Python output</li></ul><h4><b>Dataset Highlights: -</b></h4><ul><li><b>Triplet Structure:</b> Kannada algorithmic statements, their English translations, and Python code.…”

K-means clustering method based on PCA algorithm. by Elmira Bagheri (20553110)

Optimization-Driven Steganographic System Based on Fused Maps and Blowfish Encryption by Ahmed Aljughaiman (21793526)

Subjects:

The algorithm of the AWGE-ESPCA model. by Rui Miao (1592461)

Relationship between individual flow outputs for each possible management solution (Solution 1–4). by Max D. Jones (6269006)

Subjects:

Multi-algorithm performance comparison and statistical analysis. by Yanfen Zhang (2570449)