Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Deep learning for safety assessment of nuclear power reactors: Reliability, explainability, and research opportunities
Deep learning algorithms provide plausible benefits for efficient prediction and analysis of
nuclear reactor safety phenomena. However, research works that discuss the critical …
nuclear reactor safety phenomena. However, research works that discuss the critical …
A CNN-based transfer learning method for leakage detection of pipeline under multiple working conditions with AE signals
Pipeline leakage detection is a crucial part of pipeline integrity management. Acoustic
emission (AE) based leakage detection is widely used in this field. The latest detection …
emission (AE) based leakage detection is widely used in this field. The latest detection …
Machine learning for soft and liquid molecular materials
This review discusses three types of soft matter and liquid molecular materials, namely
hydrogels, liquid crystals and gas bubbles in liquids, which are explored with an emergent …
hydrogels, liquid crystals and gas bubbles in liquids, which are explored with an emergent …
Experimental research on in-pipe leaks detection of acoustic signature in gas pipelines based on the artificial neural network
Gas pipe leakage is a common and significant problem around the word. To detect the
leakages, an in-pipe detector mounted on an acoustic inspection module is a direct and …
leakages, an in-pipe detector mounted on an acoustic inspection module is a direct and …
[HTML][HTML] An artificial neural network model for the prediction of entrained droplet fraction in annular gas-liquid two-phase flow in vertical pipes
The entrained droplet fraction (e) is an important quantity in annuar gas-liquid two-phase
flows as it allows more precise calculation of the gas core density. This results in more …
flows as it allows more precise calculation of the gas core density. This results in more …
Joint recurrence network-based dynamic parameter measurement of gas-liquid two-phase flow
R Wang, L **a, R Min, M Ding, M Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Gas–liquid two-phase flow is vital in industrial production. The transient and unstable nature
of two-phase flow makes it a challenging task to accurately measure and analyze the flow …
of two-phase flow makes it a challenging task to accurately measure and analyze the flow …
[HTML][HTML] A deep reinforcement learning (DRL) based approach for well-testing interpretation to evaluate reservoir parameters
Parameter inversions in oil/gas reservoirs based on well test interpretations are of great
significance in oil/gas industry. Automatic well test interpretations based on artificial …
significance in oil/gas industry. Automatic well test interpretations based on artificial …
[HTML][HTML] Evaluation of frictional pressure drop correlations for air-water and air-oil two-phase flow in pipeline-riser system
Accurate prediction of the frictional pressure drop is important for the design and operation
of subsea oil and gas transporting system considering the length of the pipeline. The …
of subsea oil and gas transporting system considering the length of the pipeline. The …
Characterizing gas–liquid two-phase flow behavior using complex network and deep learning
MY Li, RQ Wang, JB Zhang, ZK Gao - Chaos: An Interdisciplinary …, 2023 - pubs.aip.org
Gas–liquid two-phase flow is polymorphic and unstable, and characterizing its flow behavior
is a major challenge in the study of multiphase flow. We first conduct dynamic experiments …
is a major challenge in the study of multiphase flow. We first conduct dynamic experiments …
Foam stability: The key to inhibiting slug generation in gas–liquid flow
P Zhang, D Guo, X Cao, X Li, W **a, W Peng… - Journal of Petroleum …, 2022 - Elsevier
Surfactant-based foam drainage technology is a favored method of liquid accumulation
removal, and it has been demonstrated as an efficient way to improve gas production …
removal, and it has been demonstrated as an efficient way to improve gas production …