IIT Delhi has announced admissions for its Applied AI, ML and Decision Science Programme, an eight-month online certification ...

Photo courtesy of Sreenidhi Palani Something has shifted in how young finance professionals engage with markets, and the ...

Healthcare leaders in North Texas are identifying and addressing maternal health risks early, aiming to improve outcomes in a region with some of the worst maternal health statistics in the country.

Predictive modeling in archaeological site location combines statistical and computational techniques with spatial analysis to estimate the likelihood of undiscovered cultural heritage across diverse ...

The global community has faced substantial threats from infectious diseases in recent decades. As a crucial element of epidemic surveillance systems, infectious disease prediction technology plays an ...

Abstract: Cervical Cancer is still a major cause of cancer-related morbidity and mortality in women globally, especially in low and middle financial country where routine screening and diagnostic ...

do-mpc is a comprehensive open-source toolbox for robust model predictive control (MPC) and moving horizon estimation (MHE). do-mpc enables the efficient formulation and solution of control and ...

Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the potential risks to patients and call for improved governance to ensure the ...

Abstract: The future of agriculture depends on our ability to make informed, data-driven decisions about land use and crop management. This paper presents a comprehensive, humancentered approach to ...

A machine learning web application that predicts resale flat prices in Singapore using historical HDB data. Built with Scikit-learn and Streamlit, the app helps buyers and sellers estimate market ...