Publications
Progression-Aware and Explainable CNN–Transformer Framework for Multiclass Alzheimer’s Disease Staging Using MRI
Segmentation-enhanced approach for emotion detection from EEG signals using the fuzzy C-mean and SVM
Leveraging Fuzzy C-Means and EfficientNetB0 for Improved ECG Image Classification
Leveraging LSTM and ensemble classifiers for enhanced food waste classification
An Intracranial Brain Hemorrhage's Identification and Classification on CT Imaging using Fuzzy Deep Learning
A hybrid time series forecasting approach integrating fuzzy clustering and machine learning for enhanced power consumption prediction
Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique
Acute Knee Injury Detection with Magnetic Resonance Imaging (MRI)
Olive Leaf Disease Detection via Wavelet Transform and Feature Fusion of Pre-trained Deep Learning Models
Spatial Decision Support System for Residential Solar Energy Adoption
Groundwater Management Based on Time Series and Ensembles of Machine Learning
A Granular Computing Classifier for Human Activity with Smartphones
Predicting Students’ Engagement in Online Courses Using Machine Learning
An Intelligent Groundwater Management Recommender System
Big social data and customer decision making in vegetarian restaurants: A combined machine learning method
Predicting Life Expectancy at Birth
A Mobile App for Diagnosing Horses’ Diseases