Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
IEEE

Machine Learning-Based Heat Transfer Prediction in Spiral Tube Heat Exchangers Using Bayesian-Regularized Neural Networks

Abstract: In this proposed research, an ANN with Bayesian regularization for forecasting heat transfer rates in Spiral Tube Heat Exchangers (STHEs) is presented. Nonetheless, the objective is to ...
BMJ Open

Development and evaluation of a diagnostic aiding tool for differentiating tropical fevers using artificial intelligence approach: a study protocol from tertiary care hospital ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Scientific Research Publishing

Watanabe, S. (2012) Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory. Journal of Machine Learning ...

ABSTRACT: In the context of climate change and rapid urbanization, Beninese cities like Bohicon are increasingly exposed to frequent flooding. Estimating design flows for hydraulic drainage systems ...
Hosted on MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
IEEE

Low-Complexity Channel Estimation for Internet of Vehicles AFDM Communications With Sparse Bayesian Learning

Abstract: Affine frequency division multiplexing (AFDM) has been considered as a promising waveform to enable high-reliable connectivity in the internet of vehicles. However, accurate channel ...