Neural networks have become pivotal in advancing applications across various domains, including healthcare, finance, surveillance, and autonomous systems.To achieve low latency and high efficiency, field-programmable gate arrays (FPGAs) are increasingly being employed as accelerators for neural network inference in cloud and edge devices.However, t
Variational Reconstruction of Left Cardiac Structure from CMR Images.
Cardiovascular Disease (CVD), accounting for 17% of overall deaths in the USA, is the leading cause of death over the world.Advances in medical imaging techniques make the quantitative assessment of both the anatomy and function of heart possible.The cardiac modeling is an invariable prerequisite for quantitative analysis.In this study, a novel met
Modelling Place Visit Probability Sequences during Trajectory Data Gaps Based on Movement History
The acquisition of human trajectories facilitates movement data analytics and location-based services, but gaps in trajectories limit the extent in which many tracking Pump Mounting Brackets datasets can be utilized.We present a model to estimate place visit probabilities at time points within a gap, based on empirical mobility patterns derived fro
Variational quantum classifier-based early identification and classification of chronic kidney disease using sparse autoencoder and LASSO shrinkage
The two leading causes of chronic kidney disease (CKD) are excessive blood pressure and diabetes.Researchers worldwide utilize the rate of globular filtration and kidney inflammation biomarkers to identify chronic kidney disease that gradually reduces renal function.The mortality rate for CKD is high, and thus, a person with this illness is more li