Comparison of FMM, DBA, and the great circle-based method (with an obstacle). by Tianjiao Wang (761650)

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Source Code and Dataset by Swathi Ganesan (14394924)

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

Analysis of the proposed method with the other state-of-the-art methods based on recall. by Sunil Kumar (102321)

Analysis of the proposed method with the other state of the art methods based on precision. by Sunil Kumar (102321)

Classification results of ML-based algorithms for literary works—A comparison of accuracy. by Arta Misini (19929042)

Classification results of ML-based algorithms for newsroom columns—A comparison of accuracy. by Arta Misini (19929042)

Model-Based Clustering of Categorical Data Based on the Hamming Distance by Raffaele Argiento (647076)

“…The proposed method exploits the Hamming distance to define a family of probability mass functions to model the data. …”

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.…”

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

Image_1_Fast and flexible spatial sampling methods based on the Quadtree algorithm for ocean monitoring.tif by Yanzhi Zhou (18285742)

“…This study improved existing sampling methods based on the Quadtree (QT) algorithm. In the first-phase sampling, the gradient-based QT (GQT) algorithm is recommended since it avoids the repeated calculation of variance in the Variance QT (VQT) algorithm. …”

Summary of descriptive statistic in for the optimization process of thirty executions with indirect search methods (gradient-based algorithms). by Roberto Castro-Medina (21484990)

“…<p>Summary of descriptive statistic in for the optimization process of thirty executions with indirect search methods (gradient-based algorithms).</p>…”

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

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

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

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

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

Block diagram of XAI-based LIME method to interpret the proposed framework. by Shuvo Biswas (21728782)

Adaptive exploration and exploitation method of Improved FOX optimization algorithm. by Mahmood A. Jumaah (22272371)

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.…”