Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion ...

Nearly half of sequencing data labeled as endometriosis lacks true disease representation, highlighting the urgent need for more diverse and accurate tissue sampling to advance research in this ...

IT white papers, webcasts, case studies, and much more - all free to registered TechRepublic members. Follow the steps in this checklist to get the most out of your company’s iOS devices ...

AMGWO, a new feature selection method inspired by grey wolves, uses adaptive strategies to enhance machine learning models.

In order to better address CMOPs and achieve a balance between objectives and constraints, existing constrained multi-objective evolutionary algorithms (CMOEAs ... this paper proposes a decision ...

In addition to some statistical methods, machine learning algorithms are also used for weather forecasting. This study attempts to classify precipitation using machine learning algorithms on selected ...

artificial intelligence and machine learning methods have been widely used in the computer-assisted chromosome detection and classification systems. This paper is focused on these algorithms, ...

The system is designed to alert operators when the sludge quality deviates from acceptable parameters. Sludge_classification_System/ │ ├── data/ # Data directory (created during preprocessing) │ ├── ...

├── AKIS_SEMASI_FLOWCHART/ # Project flowcharts and visual diagrams ├── FTIR_DATA/ # FTIR-based spectral data for classification ├── KODLAR/ # Python scripts and Jupyter notebooks ├── MAKale/ # ...