IEEE

Application of TPE-Random Forest in Microwave Oven Fault Diagnosis Based on GAN and ADASYN Algorithm

Abstract: The utilization of data-centric machine learning methodologies has gained significance within the domain of microwave oven fault diagnosis. Conventional fault diagnosis approaches that rely ...
IEEE

VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 With XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning Models

Abstract: Millions of cases of bone fractures are reported every year, and accuracy in classification is crucial to help with proper management and treatment. The recently developed techniques of ...