Related Work Summary. حسب Hend Bayoumi (22693738)

Simulation parameters. حسب Hend Bayoumi (22693738)

Training losses for N = 10. حسب Hend Bayoumi (22693738)

Normalized computation rate for N = 10. حسب Hend Bayoumi (22693738)

Summary of Notations Used in this paper. حسب Hend Bayoumi (22693738)

Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment حسب Jianfang Cao (1881379)

"…This result reflects the effectiveness of the algorithm, which provides a basis for the effective analysis and processing of image big data.…"

Design and implementation of the Multiple Criteria Decision Making (MCDM) algorithm for predicting the severity of COVID-19. حسب Jiaqing Luo (10975030)

"…<p>(A). The MCDM algorithm-Stage 1. Preprocessing, this stage is the process of refining the collected raw data to eliminate noise, including correlation analysis and feature selection based on P values. …"

Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans. حسب Ramsés Noguez Imm (6658637)

Optimal Timings Codebook.xlsx حسب Emma Spillane (11249121)

Flowchart scheme of the ML-based model. حسب Noshaba Qasmi (20405009)

"…<b>Fii)</b> Texture information using local binary patterns. …"

Optimal Time Intervals of Breech Births Dataset حسب Emma Spillane (11249121)

UK Biobank data wrangling statistics and results. حسب Simeone Marino (81051)

The data processing and analysis pipeline. حسب Xin Zhang (35492)

An exemplar procedure for activity flow modeling based on the direct and shortest paths at a network density of 15%. حسب Zhengdong Wang (35299)

Relational network prepared by the authoring team. حسب Lesedi Mamodise Modise (20826978)

Symmetry test result. حسب Jiyong Moon (16819302)

Algoritmo de clasificación de expresiones de odio por tipos en español (Algorithm for classifying hate expressions by type in Spanish) حسب 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). …"

Spontaneous ERG-based random forest model discriminates control and disease cases in rodent models of obesity and type 1 diabetes and predicts disease evolution in the type 1 diabe... حسب Ramsés Noguez Imm (6658637)

Fig 12 - حسب Nisha Yadav (366131)

Flowchart of software workflow. حسب Gavrielle R. Untracht (11820311)