Flow diagram of FPA-WPA algorithm. حسب Jiayuan Wang (3765376)

"…<div><p>Wind energy is a clean and renewable energy source with great potential for development, but the intermittent and stochastic characteristics of wind speed have brought great challenges to the effective development and utilisation of wind energy resources, resulting in high development costs. …"

Multiclass—AUC ROC Curve for XGBoost model. حسب Sasja Maria Pedersen (11880264)

"…Data contains patient-level clinical measures, healthcare utilisation, medicine, and socio-demographics.</p><p>Methods</p><p>We classify HbA1c test intervals into four categories (3, 6, 9, and 12 months) using three classification algorithms: logistic regression, random forest, and extreme gradient boosting (XGBoost). …"

Confusion matrix—XGBoost. حسب Sasja Maria Pedersen (11880264)

"…Data contains patient-level clinical measures, healthcare utilisation, medicine, and socio-demographics.</p><p>Methods</p><p>We classify HbA1c test intervals into four categories (3, 6, 9, and 12 months) using three classification algorithms: logistic regression, random forest, and extreme gradient boosting (XGBoost). …"

Model information. حسب Sasja Maria Pedersen (11880264)

"…Data contains patient-level clinical measures, healthcare utilisation, medicine, and socio-demographics.</p><p>Methods</p><p>We classify HbA1c test intervals into four categories (3, 6, 9, and 12 months) using three classification algorithms: logistic regression, random forest, and extreme gradient boosting (XGBoost). …"

Predictor variables. حسب Sasja Maria Pedersen (11880264)

"…Data contains patient-level clinical measures, healthcare utilisation, medicine, and socio-demographics.</p><p>Methods</p><p>We classify HbA1c test intervals into four categories (3, 6, 9, and 12 months) using three classification algorithms: logistic regression, random forest, and extreme gradient boosting (XGBoost). …"

SHAP. حسب Sasja Maria Pedersen (11880264)

"…Data contains patient-level clinical measures, healthcare utilisation, medicine, and socio-demographics.</p><p>Methods</p><p>We classify HbA1c test intervals into four categories (3, 6, 9, and 12 months) using three classification algorithms: logistic regression, random forest, and extreme gradient boosting (XGBoost). …"

Feature importance. حسب Sasja Maria Pedersen (11880264)

"…Data contains patient-level clinical measures, healthcare utilisation, medicine, and socio-demographics.</p><p>Methods</p><p>We classify HbA1c test intervals into four categories (3, 6, 9, and 12 months) using three classification algorithms: logistic regression, random forest, and extreme gradient boosting (XGBoost). …"

Statistical testing. حسب Jiayuan Wang (3765376)

"…<div><p>Wind energy is a clean and renewable energy source with great potential for development, but the intermittent and stochastic characteristics of wind speed have brought great challenges to the effective development and utilisation of wind energy resources, resulting in high development costs. …"

Design flowchart of hybrid prediction system. حسب Jiayuan Wang (3765376)

"…<div><p>Wind energy is a clean and renewable energy source with great potential for development, but the intermittent and stochastic characteristics of wind speed have brought great challenges to the effective development and utilisation of wind energy resources, resulting in high development costs. …"

Results of ES model on wind speed dataset. حسب Jiayuan Wang (3765376)

"…<div><p>Wind energy is a clean and renewable energy source with great potential for development, but the intermittent and stochastic characteristics of wind speed have brought great challenges to the effective development and utilisation of wind energy resources, resulting in high development costs. …"

Time series data decomposition results. حسب Jiayuan Wang (3765376)

"…<div><p>Wind energy is a clean and renewable energy source with great potential for development, but the intermittent and stochastic characteristics of wind speed have brought great challenges to the effective development and utilisation of wind energy resources, resulting in high development costs. …"

CS-BP model prediction results. حسب Jiayuan Wang (3765376)

"…<div><p>Wind energy is a clean and renewable energy source with great potential for development, but the intermittent and stochastic characteristics of wind speed have brought great challenges to the effective development and utilisation of wind energy resources, resulting in high development costs. …"

Comparison results of time complexity. حسب Jiayuan Wang (3765376)

"…<div><p>Wind energy is a clean and renewable energy source with great potential for development, but the intermittent and stochastic characteristics of wind speed have brought great challenges to the effective development and utilisation of wind energy resources, resulting in high development costs. …"

Wind power comparison results. حسب Jiayuan Wang (3765376)

"…<div><p>Wind energy is a clean and renewable energy source with great potential for development, but the intermittent and stochastic characteristics of wind speed have brought great challenges to the effective development and utilisation of wind energy resources, resulting in high development costs. …"

Supplementary material for paper entitled: Detection of Significant Seismic Quiescence Patterns in the Mexican Subduction Zone Using Extended Schreider Algorithms. حسب Carlos Carrizales-Velazquez (22022249)

SAS 2025 SLAM Power Analysis Extra Material (Agricultural Robots) حسب Andrew Roberts (20329431)

"…We investigate some of the most promising applications of ORB-SLAM algorithms, running on a low-resource system, providing insights into the energy costs of increased real- time performance in terms of Frames Per Second (FPS) achieved through varying SLAM parameters. …"

Shoreline Dynamics of South Africa Using Satellite Imagery حسب DANIE Theron (18588391)

"…This study addressed this critical knowledge gap by utilising a satellite-derived shoreline algorithm (CoastSat) to rectify years of inadequate monitoring and to contribute to a thorough understanding of South African shoreline dynamics. …"

Deep learning-driven UAV vision for automated road crack detection and classification حسب Vaishnavee V. Rathod (20486769)

Supplementary file 1_Efficient lightweight cryptographic solutions for enhancing data security in healthcare systems based on IoT.zip حسب Abdul Muhammed Rasheed (20998115)

"…The UACI and NPCR values indicate that the encryption techniques produce ciphertexts that are highly random and difficult to anticipate, all while requiring minimal additional computational resources. This study introduces innovative lightweight cryptographic algorithms aimed at enhancing security in IoT-based healthcare systems. …"

Unlocking new horizons, challenges of integrating machine learning to energy conversion and storage research حسب Muthuraja Velpandian (15464251)