Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
LIANYUNGANG, JIANGSU, CHINA, February 13, 2026 /EINPresswire.com/ -- The global petrochemical and energy landscape is ...
Abstract: In reliability analysis, mixed Weibull distributions have gained considerable attention due to its exceptional flexibility in modeling complex failure mechanisms. In the practical analysis ...
Pandas TA Classic is an easy-to-use library that leverages the Pandas package with 150 indicators and utility functions and 62 TA Lib candlestick patterns (212 total). Many commonly used indicators ...
An MDP-Driven Learning Function Selection Strategy for Kriging-Based Structural Reliability Analysis
Abstract: Active learning Kriging is widely used in structural reliability analysis for its computational efficiency and accuracy. While numerous learning functions exist to accelerate Kriging ...
AI usage in courts needs verifiable reliability— Unlike other fields, errors and hallucinations caused by AI in a court setting can create due-process issues. Skepticism is professional responsibility ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results