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

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

The predictive model also incorporates an improved fruit fly optimization algorithm (IFOA) in conjunction with support vector machine (SVM) techniques. The actual instances of lost circulation serve ...

The fundamental aim of this research is to employ a streamlined CNN-SVM architecture, utilizing deep learning ... On average, the proposed model achieves a classification accuracy of 99.18%, which is ...

SVM (Support Vector Machine) and ANN (Artificial Neural Network). Both the methods are utilized together for training and testing the classification in order to produce results that are fitting for ...

These authors contributed equally to this work.

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