Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, ...

A study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing ...

The study introduces an AI-driven approach to concrete mix design, optimizing for strength and sustainability while reducing ...

The Kabul River Basin is highly vulnerable to flooding due to its steep mountainous terrain, heavy seasonal rainfall, and ...

The research introduces a VLC-based communication architecture built for 6G networks. VLC uses modulated light from LED ...

Abstract: High-accuracy, real-time precipitable water vapor (PWV) products with high spatiotemporal resolution are of great significance for precipitation forecasting, extreme weather monitoring and ...

Abstract: The Concentric Tube Robot (CTR) has great promise for minimally invasive surgery. However, accurately modeling nonlinear and history-dependent behaviors remains a significant challenge. This ...

Master data science in 2025. Complete guide to machine learning, big data analytics, Python programming, statistical modeling ...

DeePMD-kit Version： DeePMD-kit v3.0.3 Problem Description: A sudden increase in RMSE_e is observed during the initial training process. The system consists of an aqueous NaClO₄ aqueous solution with ...