Karunya University

Advancing Parkinson’s detection from MRI: a deep learning comparison of classical and quantum architectures

Abstract Purpose The precise diagnosis of Parkinson’s Disease (PD) continues to pose a considerable barrier in clinical neurology. This work investigates the capability of sophisticated deep learning architectures to improve Parkinson’s disease identification via Magnetic Resonan...

Hybrid dynamic feature convolution with transformer fusion model for the detection of intrusion during manufacturing process

Intrusion detection is essential in contemporary manufacturing systems. These are vulnerable to various cyber threats due to the integration of cyber-physical systems and continuous data exchange. Traditional intrusion detection systems include statistical models and standard mac...

Harnessing microRNA regulatory networks for engineering climate resilience and nutritional enhancement in millets

Millets are increasingly promoted as climate-resilient nutri-cereals that can stabilize production and support nutritious diets under drought, heat, salinity, and low-input farming. MicroRNAs (miRNAs) provide a powerful post-transcriptional regulatory layer that regulates stress...