Impact of cyberattack types on IoMT devices. by Mohanad Faeq Ali (21354273)

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LSTM algorithm for cyber attack prediction in IoMT. by Mohanad Faeq Ali (21354273)

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IoMT devices and attack overview in the CICIoMT2024 dataset. by Mohanad Faeq Ali (21354273)

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The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" by FirstName LastName (20554465)

“…</li><li>The <b>CIPrediction</b> folder contains model training code.</li><li>The <b>ParallelComputation</b> folder contains geographic computation code.…”

The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" by FirstName LastName (20554465)

“…</li><li>The <b>CIPrediction</b> folder contains model training code.</li><li>The <b>ParallelComputation</b> folder contains geographic computation code.…”

Testing Code for JcvPCA and JsvCRP. by Océane Dubois (21989812)

“…<p>This file contains the code that implements both metrics in python and apply them on a simulated dataset.…”

Data and some code used in the paper:<b>Expansion quantization network: A micro-emotion detection and annotation framework</b> by Zhou (20184816)

“…</p><p dir="ltr">GPU：NVIDIA GeForce RTX 3090 GPU</p><p dir="ltr">Bert-base-cased pre-trained model: https://huggingface.co/google-bert/bert-base-cased</p><p dir="ltr">python=3.7，pytorch=1.9.0，cudatoolkit=11.3.1，cudnn=8.9.7.29.…”

Workflow of a typical Epydemix run. by Nicolò Gozzi (8837522)

“…<div><p>We present Epydemix, an open-source Python package for the development and calibration of stochastic compartmental epidemic models. …”

Data sets and coding scripts for research on sensory processing in ADHD and ASD by Vesko Varbanov (9687029)

“…</p><h4>Contents</h4><p dir="ltr">The repository includes:</p><ul><li>Questionnaire data (ASRS, BAPQ)</li><li>Visual orientation discrimination thresholds (vertical and oblique)</li><li>Demographic variables (age, gender)</li><li>Clinical vs. non-clinical group labels</li><li>Propensity score matching files and reproducible Python code</li><li>JASP analysis files and outputs</li><li>Study documentation and methodological details</li></ul><p dir="ltr">These data support the study’s finding that ADHD and ASD show distinct sensory signatures: clinical ADHD was associated with reduced oblique sensitivity, while clinical ASD showed enhanced vertical discrimination relative to matched non-clinical controls. …”

Code for High-quality Human Activity Intensity Maps in China from 2000-2020 by Wenqi Xie (18273238)

“…<p dir="ltr">Code and remote sensing images and interpretation results of the samples for uncertainty analysis for "High-quality Human Activity Intensity Maps in China from 2000-2020"</p><p dir="ltr">“Mapping_HAI.py”：We generated the HAI maps using ArcGIS 10.8, and the geoprocessing tasks were implemented using Python 2.7 with the ArcPy library (ArcGIS 10.8 + Python 2.7 environment). …”

MATH_code : False Data Injection Attack Detection in Smart Grids based on Reservoir Computing by Carl-Hendrik Peters (21530624)

“…</li><li><b>3_literature_analysis_and_mapping.ipynb</b><br>Contains the Python code used for executing the systematic mapping study (SMS), including automated processing of literature data and thematic clustering.…”

Supplementary file 1_ParaDeep: sequence-based deep learning for residue-level paratope prediction using chain-aware BiLSTM-CNN models.docx by Piyachat Udomwong (22563212)

“…The implementation is freely available at https://github.com/PiyachatU/ParaDeep, with Python (PyTorch) code and a Google Colab interface for ease of use.…”

Monte Carlo Simulation Code for Evaluating Cognitive Biases in Penalty Shootouts Using ABAB and ABBA Formats by Raul MATSUSHITA (10276562)

“…<p dir="ltr">This Python code implements a Monte Carlo simulation to evaluate the impact of cognitive biases on penalty shootouts under two formats: ABAB (alternating shots) and ABBA (similar to tennis tiebreak format). …”

Evaluation and Statistical Analysis Code for "Multi-Task Learning for Joint Fisheye Compression and Perception for Autonomous Driving" by Basem Ahmed (18127861)

“…</p><p dir="ltr">The code includes:</p><ul><li><a target="_blank"><code>evaluate_mtl.py</code></a>: The main script for evaluating the performance of the proposed deep learning models (JointGAD) and traditional codecs (HEVC, JPEG2000) on the Woodscape and Fisheye8k datasets. …”

Mesh Division Schematic Diagram. by Nan Ru (9594384)

“…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”

Distribution of Splitting Test Loaders. by Nan Ru (9594384)

“…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”

Ultimate Failure Load. by Nan Ru (9594384)

“…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”

Distribution of loaders in the compressive test. by Nan Ru (9594384)

“…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”

Material Parameters. by Nan Ru (9594384)

“…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”

Flowchart of Random Aggregate Placement Process. by Nan Ru (9594384)

“…The ABAQUS finite – element software was used, and a random aggregate placement algorithm for RCA was implemented by writing the built – in scripting language Python to generate digital specimens. …”