Production of global soil data predictions using scikit-map within the EO-SoilMapper framework. Target spatial resolution is 30 m (global coverage excluding deserts and permanent ice). Target period ...

Abstract: Deep learning has added conveniences for the diagnosis and prediction of various diseases making an influence in healthcare facilities. Diabetes mellitus is a dominant health issue faced by ...

Diabetes mellitus is a metabolic disorder categorized using hyperglycemia that results from the body’s inability to adequately secrete and respond to insulin. Disease prediction using various machine ...

Description: Dive into this exciting project that builds a CNN with TensorFlow/Keras to classify CIFAR-10 images into 10 vibrant classes! 📸 It features data preprocessing, model training, stunning ...

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...

A bundled, AI-enabled health coaching program significantly improved outcomes in adults with Type 2 diabetes, a recent Cleveland Clinic study found. The intervention, developed by Twin Health, used ...

Numerous market analyses have shown that over the next five years, demand for lithium-ion batteries for everything from personal electric devices to grid-scale energy storage is expected to grow ...

bDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, USA cInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA dInstitute for Social Research, ...

White sugar has had its molasses removed during refining, and some molasses is added back to create brown sugar. They differ in texture, flavor, and color, but are nutritionally similar and have the ...