IEEE

Automated Models for Predicting Software Defects in Hybrid Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) Parallel Programs Using Deep Learning

Abstract: Hybrid Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) parallel programs are pivotal for scalability and efficiency in high-performance computing (HPC), especially as ...
Frontiers

Evolving challenges and breakthroughs in deep learning-driven medical imaging

Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...
IEEE

Cutting-Edge Image Recognition Leveraging Deep Learning and Machine Learning for Enhanced Accuracy

Abstract: This paper investigates advanced techniques in image recognition and classification by integrating deep learning and machine learning approaches to achieve higher accuracy. Through the ...

Deep learning model can predict cardiopulmonary disease in retinal images of premature infants

A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...