Greedy optimization algorithm. by Alexis Bénichou (19832361)

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

S1 Data - by Haoqiang Liu (193675)

Pseudo Code of RBMO. by Chenyi Zhu (9383370)

Microsoft excel file containing exhaustive list of Abbreviated-Injury Scale codes used to generate binary variables encoding the presence or absence of injury to various body regio... by Michael D. Cobler-Lichter (22492930)

PSO algorithms flowchart. by Mohammed F. Elnaggar (18297954)

Service Coverage Optimization for Facility Location: Considering Line-Of-Sight Coverage in Continuous Demand Space by XIAOYA MA (12164486)

“…<p>It is crucial to optimize the line-of-sight (LOS) service coverage in location optimization for facilities such as street lights and surveillance cameras, which provide services based on lights or electromagnetic waves that are sensitive to obstacle blockage issues in geospatial environments. …”

2DBPP modifications. by Andrew Fisher (1673086)

Notation example. by Andrew Fisher (1673086)

Surround Suppression mechanism. by Elnaz Nemati (21402730)

Reconstruction results of a central slice of MPRAGE data at 3T. by Chi Zhang (9857)

Reconstruction results of phantom imaging. by Chi Zhang (9857)

Reconstruction results of a central slice of MPRAGE data at 7T. by Chi Zhang (9857)

Behavioral results. by Sam Hall-McMaster (10343795)

“…Optimal policies for training tasks lead to feature triplet ɸ(1) or ɸ(4), and optimal policies for test tasks lead to ɸ(2) or ɸ(3). …”

Subgroup analysis. by Sam Hall-McMaster (10343795)

Comprehensive analysis of CSR transcription in breast cancer and normal tissues. by Musalula Sinkala (6873695)

Spectrum of singular values of the normal matrix . by Stefano van Gogh (13569844)

Algoritmo de clasificación de expresiones de odio por tipos en español (Algorithm for classifying hate expressions by type in Spanish) by Daniel Pérez Palau (11097348)

“…</li></ul><p dir="ltr"><b>File Structure</b></p><p dir="ltr">The code generates and saves:</p><ul><li>Weights of the trained model (.h5)</li><li>Configured tokenizer</li><li>Training history in CSV</li><li>Requirements file</li></ul><p dir="ltr"><b>Important Notes</b></p><ul><li>The model excludes category 2 during training</li><li>Implements transfer learning from a pre-trained model for binary hate detection</li><li>Includes early stopping callbacks to prevent overfitting</li><li>Uses class weighting to handle category imbalances</li></ul><p dir="ltr">The process of creating this algorithm is explained in the technical report located at: Blanco-Valencia, X., De Gregorio-Vicente, O., Ruiz Iniesta, A., & Said-Hung, E. (2025). …”

Dual UHPLC-HRMS Metabolomics and Lipidomics and Automated Data Processing Workflow for Comprehensive High-Throughput Gut Phenotyping by P. Vangeenderhuysen (15854812)

“…The latter was benchmarked toward vendor-specific targeted and untargeted software and our isotopologue parameter optimization/XCMS-based untargeted pipeline in LifeLines Deep cohort samples (<i>n</i> = 97). …”

This Figure shows the flow of information between components when running a simulation. by Till Köster (11287803)