Deeppipe: A semi-supervised learning for operating condition recognition of multi-product pipelines

Intelligent feature recognition for STEP-NC-compliant manufacturing based on artificial bee colony algorithm and back propagation neural network

(2021) Yu Zhang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Deeppipe: a customized generative model for estimations of liquid pipeline leakage parameters

(2021) Jianqin Zheng et al.   COMPUTERS & CHEMICAL ENGINEERING

A new unsupervised data mining method based on the stacked autoencoder for chemical process fault diagnosis

(2020) Shaodong Zheng et al.   COMPUTERS & CHEMICAL ENGINEERING

Multi-channel lung sound classification with convolutional recurrent neural networks

(2020) Elmar Messner et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep learning of subsurface flow via theory-guided neural network

(2020) Nanzhe Wang et al.   JOURNAL OF HYDROLOGY

Prediction of output power with artificial neural network using extended datasets for Stirling engines

(2020) Han Jiang et al.   APPLIED ENERGY

Protein kinase inhibitors’ classification using K-Nearest neighbor algorithm

(2020) Roya Arian et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Associative memory optimized method on deep neural networks for image classification

(2020) Gang Yang et al.   INFORMATION SCIENCES

Distributed-ensemble stacked autoencoder model for non-linear process monitoring

(2020) Zhichao Li et al.   INFORMATION SCIENCES

A novel pipeline leak detection approach independent of prior failure information

(2020) Akhand Rai et al.   MEASUREMENT

An online real-time estimation tool of leakage parameters for hazardous liquid pipelines

(2020) Jianqin Zheng et al.   International Journal of Critical Infrastructure Protection

A leak detection method for oil pipeline based on markov feature and two-stage decision scheme

(2019) Jinhai Liu et al.   MEASUREMENT

Application of decision tree, artificial neural networks, and adaptive neuro-fuzzy inference system on predicting lost circulation: A case study from Marun oil field

(2019) Mohammad Sabah et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Bayesian network and game theory risk assessment model for third-party damage to oil and gas pipelines

(2019) Yan Cui et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

A probabilistic analysis model of oil pipeline accidents based on an integrated Event-Evolution-Bayesian (EEB) model

(2018) Chao Zhang et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

The linear random forest algorithm and its advantages in machine learning assisted logging regression modeling

(2018) Yile Ao et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Forecasting of natural gas consumption with artificial neural networks

(2015) Jolanta Szoplik   ENERGY

Leak detection monitoring system of long distance oil pipeline based on dynamic pressure transmitter

(2013) Yu Zhang et al.   MEASUREMENT

A sequential probability ratio test (SPRT) to detect changes and process safety monitoring

(2013) Yahya Chetouani   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Leak detection of pipeline: An integrated approach of rough set theory and artificial bee colony trained SVM

(2011) Santosh Kumar Mandal et al.   EXPERT SYSTEMS WITH APPLICATIONS

A wave change analysis (WCA) method for pipeline leak detection using Gaussian mixture model

(2011) Wei Liang et al.   JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT