IEEE

A Deep Learning-Based Approach for Two-Phase Flow Pattern Classification Using Void Fraction Time Series Analysis

Abstract: Flow regime classification is essential for analyzing and modeling two-phase flows, as it demarcates the flow behavior and influences the selection of appropriate predictive models. Machine ...

Graphene sensors stay stable in liquids, boosting sensitivity up to 20 times

Accurately measuring small shifts in biological markers, like proteins and neurotransmitters, or harmful chemicals in the water supply, can identify critical problems before they have a chance to ...
Water Technology

FLOWS act provides grants for digital water monitoring upgrades

Act of 2026 has been introduced by US Senators John Boozman (R-AR) and Mark Kelly (D-AZ) to launch a targeted grant program ...
IEEE

A Real-Time Deployable Attention-Driven CNN–LSTM Framework for Human Activity Recognition Using Wearable Sensor

Abstract: Human activity recognition (HAR) using wearable inertial sensors is increasingly vital for healthcare, rehabilitation, and pervasive computing. Yet, many state-of-the-art (SoTA) models rely ...