Plant disease detection is crucial for ensuring agricultural productivity and preventing crop loss. This study explores shallow retraining of pre-trained deep learning models (ResNet-50, ...

The aim of the work is to design a secure and accurate Speech Emotion Recognition (SER) system using a RNN model to classify emotions from speech data. The system’s predictive accuracy is evaluated ...

Pain and a decline in gait function are symptoms of knee osteoarthritis (KOA). With the use of machine learning methods, developed regression models to identify KOA-related gait variables according to ...