The flowchart of the PID control based on the IPSO algorithm. by Hongjun Meng (5031806)

Main code. by Jingguo Bi (21439766)

Modeling approach and network generating algorithm. by Matthew Aguirre (9558032)

Code and data. by Crispin H. V. Cooper (21484906)

“…We suggest that the metaphor of discrete echo chambers may be inappropriate for meta-opinions: while measures of meta-opinion accuracy and its influences can reveal echo chamber characteristics where other metrics confirm their presence, the presence or absence of meta-opinion clusters is not itself sufficient to define an echo chamber. We publish both data and analysis code as supplementary material.…”

The algorithm for the Transformer-DN model. by Liang Na (22226855)

Model construction and validation (A) Construction of the model based on multiple machine learning algorithms. by Chengting Wu (21485612)

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

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(A) Illustration of grouping and segmentation based on the global similarity structure when the number of elements is small. A, B, C, and D represent stimulus elements at different... by Yen-Ju Chen (354876)

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Feature importance plot obtained for regression-based algorithms. by Akshansh Mishra (21001499)

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The convergence curves of the HMMS optimization algorithm based on INFO-KELM and other algorithms. by Qiongfang Zhang (18055134)

Source Code and Dataset by Swathi Ganesan (14394924)

Algorithm flow based on CL-EPIDTN. by Fang Yang (123514)

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

Comparison of Traffic Accident Risk Prediction Models Based on Different Algorithms. by Hao Li (31608)

“…<p>Comparison of Traffic Accident Risk Prediction Models Based on Different Algorithms.</p>…”

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

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

Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks by Balázs Mészáros (16890225)

“…<p dir="ltr">The data in this repository accompanies the paper 'Efficient Event-based Delay Learning in Spiking Neural Networks'</p><p dir="ltr">The data relates to 4 benchmarks:</p><ol><li>Spiking Heidelberg Digits (SHD).…”

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.…”

Presents the comparison of various density based algorithms. by Shahneela Pitafi (20454775)

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Optimization results of MBB multi-material structure under different methods. (a) A level-set method for multi-material topology optimization [33]. (b) An alternating active-phase algorithm for multi-material topology optimization [34].... by Zhao Li (300229)

“…(b) An alternating active-phase algorithm for multi-material topology optimization [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0321100#pone.0321100.ref034" target="_blank">34</a>]. …”