Open Heart

Periprocedural evaluation of patients with BAV stenosis undergoing TAVR: a machine learning-based study

Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...
Tech Xplore

New memristor design uses built-in oxygen gradient to bring stability to reinforcement learning

In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to ...

Aftab Uddin Presents Next-Generation AI Risk Model for U.S. Financial Stability and Portfolio Optimization

NEW YORK, NY, UNITED STATES, March 28, 2026 /EINPresswire.com/ -- As global financial systems grow increasingly complex ...

Aftab Uddin Unveils AI-Driven Risk Model, Marking a New Frontier in U.S. Financial Stability and Portfolio Optimizatio

NEW YORK, NY, UNITED STATES, March 26, 2026 /EINPresswire.com/ -- As international financial systems continue to become ...
Morning Overview on MSN

Quantum entanglement method could boost sensor precision, study says

Researchers at the University of Science and Technology of China have demonstrated that quantum entanglement between pairs of atomic defects in diamond can sharpen nanoscale sensors well beyond ...

Unlocking subsurface geoenergy and storage potential using machine learning

FAYETTEVILLE, GA, UNITED STATES, March 20, 2026 /EINPresswire.com/ -- Using machine learning regression models, we ...
IEEE

Soft Gradient Boosting with Learnable Feature Transforms for Sequential Regression

Abstract: We propose a soft gradient boosting framework for sequential regression that embeds a learnable linear feature transform within the boosting procedure. At each boosting iteration, we train a ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
IEEE

Gradient Boosting Algorithms for Day-ahead Residential Load Forecasting of Individual Household

Abstract: The accomplishment of electrification targets and the successful integration of renewable energy sources into the residential grids, conceives the urgency for implementing platforms for the ...
Frontiers

An explainable ensemble machine learning model using baseline blood transcriptomics to predict Parkinson's disease motor progression

Predicting Parkinson's disease (PD) motor progression remains challenging despite advances in neuroimaging. Blood-based transcriptomic profiling offers a more accessible and cost-effective alternative ...
EurekAlert!

Gradient boosting dendritic network for ultra-short-term PV power prediction

Researchers at Central South University in China have developed a new model to improve ultra-short-term photovoltaic (PV) power prediction, as detailed in their publication in Frontiers in Energy. In ...
Scientific Research Publishing

Chen, T. and Guestrin, C. (2016) XGBoost: A Scalable Tree Boosting System.

ABSTRACT: Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and ...