Abstract: In this study, we present a multistage learning pipeline that utilizes the ResNet-50 architecture as a static feature extractor for multiclass image classification problems. This methodology ...

sdk-jobs-automl-standalone-jobs-automl-image-classification-multiclass-task-fridge-items-automl-image-classification-multiclass-task-fridge-items #4052 Summary ...

Abstract: This research employs the ResNet-50 deep learning model to accurately detect and classify four types of false data injection (FDI) attacks (pulse, random, ramp, and scaling) in the automatic ...

The extensive growth and use of electronic health records (EHRs) and extending medical literature have led to huge opportunities to automate the extraction of relevant clinical information that helps ...

1 Department of Computer Science and IT, IIS Deemed to be University, Jaipur, Rajasthan, India 2 Pokhara University, Pokhara, Nepal This study examines the prediction accuracy of ensemble machine ...