Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...

Thanjavur: Growing importance of interdisciplinary research and global partnerships in addressing contemporary scientific ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Austrian economists have long criticized using mathematics to undergird economic analysis. It is time to apply that same ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that complements your own.

Elevated pretreatment levels of LDH and GGT were prognostic for shorter OS in patients with mUM; low albumin, elevated LDH and ALT for shorter TTCS.

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

CPG companies now need to achieve annual productivity gains of 5% or more just to stay competitive. Traditional cost-cutting measures like travel freezes, hiring pauses, and other age-old efficiency ...

More frequent and intense weather phenomena like heat waves, windstorms, or atmospheric rivers often come in pairs and these ...