Frontiers

Hybrid Hydroinformatics: Integrating Machine Learning and Process-Based Modeling for Climate-Resilient Water Systems

The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...
AZoBuild

Machine Learning Improves Strength Predictions in Concrete

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
Tech Xplore

Geospatial upgrade gives TabPFN sharper local predictions on datasets up to 70,000 rows

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
IEEE

An Effective Classification of DDoS Attacks in a Distributed Network by Adopting Hierarchical Machine Learning and Hyperparameters Optimization Techniques

Abstract: Data privacy is essential in the financial sector to protect client’s sensitive information, prevent financial fraud, ensure regulatory compliance, and safeguard intellectual property. It ...
Oak Ridge National Lab

Machine-learned closure of URANS for stably stratified turbulence: connecting physical timescales & data hyperparameters of d...

Stably stratified turbulence (SST), a model that is representative of the turbulence found in the oceans and atmosphere, is strongly affected by fine balances between forces and becomes more ...
IEEE

Effective Diagnosis Approach for Broken Rotor Bar Fault Using Bayesian-Based Optimization of Machine Learning Hyperparameters

Abstract: Rotor fault diagnosis plays a critical role in ensuring the safety and reliability of rotating machinery. Recently, there has been increasing interest in leveraging advanced signal ...
Consumer Reports

6 Best Espresso Machines of 2026, Tested and Reviewed

If you’re accustomed to trekking to a coffee shop for your first caffeine shot of the day, the idea of traveling no farther than your own kitchen is probably tempting, not to mention practical, ...