Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

“…All our simulation is performed in computation softwares, Matlab and Python. The image pre processing and spectral moments generation is performed in Matlab and the implementation of the classifiers is performed with python. …”

ClaritySpectra: Raman spectra analysis tool by Aaron Celestian (9395696)

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) by Erola Fenollosa (20977421)

“…</li><li>The dataframe of extracted colour features from all leaf images and lab variables (ecophysiological predictors and variables to be predicted)</li><li>Set of scripts used for image pre-processing, features extraction, data analytsis, visualization and Machine learning algorithms training, using ImageJ, R and Python.…”

<b>Rethinking neighbourhood boundaries for urban planning: A data-driven framework for perception-based delineation</b> by Shubham Pawar (22471285)

“…</p><p dir="ltr"><b>Input:</b></p><ul><li><code>perception_module/output_data/glasgow_perception.nc</code> - Perception scores from Step 2</li></ul><p dir="ltr"><b>Command:</b></p><pre><pre>python cluster_module/cluster_perceptions.py<br></pre></pre><p dir="ltr"><b>Output:</b></p><ul><li><code>cluster_module/output_data/clusters.shp</code> - Shapefile of neighbourhood boundaries</li></ul><h2>Quick Test</h2><p dir="ltr">To test the clustering module with demo data:</p><pre><pre>python cluster_module/cluster_perceptions.py<br></pre></pre><p dir="ltr">This uses the pre-computed embeddings from <code>perception_module/pred_output/20250626_*_embedding_efficientnet.nc</code>.…”