Tech Xplore

Algorithm captures nonlinear climate dynamics to optimize air-conditioning energy use

Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
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

Calories Burnt Prediction Using ANN and XGBoost Regression Algorithms from Physical Activities

Calorie expenditure is essential for measuring fitness and managing health, and it forms the basis of creating individualized diet and activity plans. For people trying to reach fitness objectives and ...
Frontiers

The different member equivalent circulating density prediction model and drilling parameter optimization under narrow density window

Wellbore stability is a key factor in ensuring safe and efficient drilling operations. The variation in Equivalent Circulating Density (ECD) has a significant impact on safety, economics, and drilling ...
Frontiers

Chopped and minibars reinforced high-performance concrete: machine learning prediction of mechanical properties

A novel form of high-tech concrete known basalt fiber-reinforced high-performance concrete (BFHPC) has been developed using traditional materials that require extra admixtures to improve its ...
Scientific Research Publishing

Rahimov, N. and Dilmurod, K. (2015) The Application of Multiple Linear Regression Algorithm and Python for Crop Yield Prediction in Agriculture. Harvard Educational and ...

ABSTRACT: Burundi faces major agricultural constraints, including land fragmentation, soil erosion, limited access to inputs, inadequate infrastructure and demographic pressures that exacerbate food ...
Visual Studio Magazine

Random Forest Regression and Bagging Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...
C&EN

Machine Learning Prediction of Nitric Acid Extraction Behavior in PUREX Process

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. There were a total of 7 articles, with the extracted data ...