ascopubs.org

Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...
IEEE

State-of-the-Art Fault Detection and Diagnosis in Power Transformers: A Review of Machine Learning and Hybrid Methods

Abstract: Fault detection and diagnosis (FDD) in power transformers is essential for maintaining reliability and safety in modern power systems. Recent trends in transformer fault diagnosis include ...
IEEE

Real-Time Modeling of Electric Machines for Hardware-in-the-Loop Environment: A State-of-the-Art Review

Abstract: Hardware-in-the-loop (HIL) simulation enables real-time closed-loop testing of electric drive systems by interfacing machine models with physical controllers. This paper presents a review of ...