The multiphase free sink vortex (MFSV) has frequently appeared in practical industry
processes, including the refinement of steel stream, hydroelectric energy conversion of the …

Enhancing the management and monitoring of oil and gas processes demands the
development of precise predictive analytic techniques. Over the past two years, oil and its …

The gas-liquid coupled vortex flow (GCVF), as a complex physical phenomenon, has been
encountered in some sustainable productions, such as chemical cleaner production …

With high-speed railway lines increasing gradually, the running safety assessment (RSA) of
train-bridge coupled (TBC) systems has become an indispensable part of railway seismic …

To predict the dynamic response of high-speed trains (HSTs) passing through cable-stayed
bridges (CSBs), this paper proposed a prediction framework based on the genetic algorithm …

The deep learning technology used for pipeline weld crack leakage monitoring lacks
physical interpretability, which makes it difficult to provide theoretical support to decision …

Two-phase gas–liquid flows are crucial to the pipeline system. Due to their complicated flow
state, existing leak detection techniques are unsuitable for two-phase flow pipelines. To …

Abstract Development in the field of gas sensors has witnessed exponential growth with
multitude of applications. The diverse applications have led to unexpected challenges …

Highlights What are the main findings? Acoustic emission signaling technology, when
combined with time-series sequential deep learning algorithms, can effectively detect …

This paper is concerned with modeling and identification methodology for practical
nonlinear system via deep long short-term memory (DLSTM) networks-based Wiener model …