GitHub

Python Learning Roadmap in 30 Days

Welcome to the Python Learning Roadmap in 30 Days! This project is designed to guide you through a structured 30-day journey to learn the Python programming language from scratch and master its ...
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

Naïve Bayes Approach for Word Sense Disambiguation System With a Focus on Parts-of-Speech Ambiguity Resolution

Abstract: Natural languages are written and spoken languages, and NLP (Natural Language Processing) is the ability of a computer program to recognize both written and spoken languages. Word Sense ...
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 ...
National Bureau of Economic Research

Unconditional Cash Transfers: A Bayesian Meta-Analysis of Randomized Evaluations in Low and Middle Income Countries

We use Bayesian meta-analysis methods to estimate the impact of unconditional cash transfers (UCTs). Aggregating evidence from 115 studies of 72 UCT programs in middle and low income countries, we ...
IEEE

Bayesian Seismic Tomography Based on Velocity-Space Stein Variational Gradient Descent for Physics-Informed Neural Network

Abstract: In this study, we propose a Bayesian seismic tomography inference method using physics-informed neural networks (PINNs). PINN represents a recent advance in deep learning, offering the ...