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Unsupervised Domain Adaptive 1D-CNN for Fault Diagnosis of Bearing

Sensors (Basel, Switzerland), 2022-05, Vol.22 (11), p.4156

2022

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GAILS: an effective multi-object job shop scheduler based on genetic algorithm and iterative local search

Scientific reports, 2024-01, Vol.14 (1), p.2068-2068, Article 2068

2024

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Multi-Step Short-Term Power Consumption Forecasting Using Multi-Channel LSTM With Time Location Considering Customer Behavior

IEEE access, 2020, Vol.8, p.125263-125273

2020

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Accurate Deep Model for Electricity Consumption Forecasting Using Multi-Channel and Multi-Scale Feature Fusion CNN–LSTM

Energies (Basel), 2020-04, Vol.13 (8), p.1881

2020

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An Adaptive Job Shop Scheduler Using Multilevel Convolutional Neural Network and Iterative Local Search

IEEE access, 2022, Vol.10, p.88079-88092

2022

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Domain Fusion CNN-LSTM for Short-Term Power Consumption Forecasting

IEEE access, 2020, Vol.8, p.188352-188362

2020

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A Novel and Effective University Course Scheduler Using Adaptive Parallel Tabu Search and Simulated Annealing

KSII Transactions on Internet and Information Systems, 2024, 18(4), , pp.843-859

2024

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Self-Supervised Long-Short Term Memory Network for Solving Complex Job Shop Scheduling Problem

KSII Transactions on Internet and Information Systems, 2021, 15(8), , pp.2993-3031

2021

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Self-Supervised Long-Short Term Memory Network for Solving Complex Job Shop Scheduling Problem

KSII transactions on Internet and information systems, 2021-08, Vol.15 (8), p.2993-3010

2021

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Fault Diagnosis of Bearing Based on Convolutional Neural Network Using Multi-Domain Features

KSII Transactions on Internet and Information Systems, 2021, 15(5), , pp.1610-1629

2021

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Highly Accurate Short-Term Gas Consumption and Elapsed Time Forecasting Using Multi-Channel Deep Neural Network

IEEE access, 2021, Vol.9, p.157447-157457

2021

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Fault Diagnosis of Bearing Based on Convolutional Neural Network Using Multi-Domain Features

KSII transactions on Internet and information systems, 2021-05, Vol.15 (5), p.1610-1629

2021

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TFFS: A trainable federal fusion strategy for multistep time series forecasting

Information sciences, 2024-09, Vol.679, p.121126, Article 121126

2024

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Adaptive multi-scale attention convolution neural network for cross-domain fault diagnosis

Expert systems with applications, 2024-02, Vol.236, p.121216, Article 121216

2024

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A lightweight network for real-time smoke semantic segmentation based on dual paths

Neurocomputing (Amsterdam), 2022-08, Vol.501, p.258-269

2022

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DL-MSCNN: a general and lightweight framework for fault diagnosis with limited training samples

Journal of intelligent manufacturing, 2023-10

2023

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The value relevance of corporate voluntary carbon disclosure: Evidence from the United States and BRIC countries

Journal of contemporary accounting & economics, 2021-12, Vol.17 (3), p.100279, Article 100279

2021

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DSMT-1DCNN: Densely supervised multitask 1DCNN for fault diagnosis

Knowledge-based systems, 2024-05, Vol.292, p.111609, Article 111609

2024

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Accurate Multi-Site Daily-Ahead Multi-Step PM2.5 Concentrations Forecasting Using Space-Shared CNN-LSTM

Computers, materials & continua, 2022, Vol.70 (3), p.5143-5160

2022

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A Novel and Effective University Course Scheduler Using Adaptive Parallel Tabu Search and Simulated Annealing

KSII transactions on Internet and information systems, 2024-04, Vol.18 (4), p.843-859

2024

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A Hybrid Deep Learning Scheme for Multi-Channel Sleep Stage Classification

Computers, materials & continua, 2022, Vol.71 (1), p.889-905

2022

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Accurate Multi-Scale Feature Fusion CNN for Time Series Classification in Smart Factory

Computers, materials & continua, 2020-01, Vol.65 (1), p.543-561

2020

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A Study on Customers’ Sentiment Analysis Based on Big Data Using Twitter Data

International Journal of Computer Theory and Engineering, 2019-02, Vol.11 (1), p.11-14

2019

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Traffic Accident Time Series Prediction Model Based on Combination of ARIMA and BP and SVM

Journal of Traffic and Logistics Engineering, 2019, p.41-46

2019

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Real-world effectiveness of COVID-19 vaccines: a literature review and meta-analysis

International journal of infectious diseases, 2022-01, Vol.114, p.252-260

2022

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Unsupervised Domain Adaptive 1D-CNN for Fault Diagnosis of Bearing

GAILS: an effective multi-object job shop scheduler based on genetic algorithm and iterative local search

Multi-Step Short-Term Power Consumption Forecasting Using Multi-Channel LSTM With Time Location Considering Customer Behavior

Accurate Deep Model for Electricity Consumption Forecasting Using Multi-Channel and Multi-Scale Feature Fusion CNN–LSTM

An Adaptive Job Shop Scheduler Using Multilevel Convolutional Neural Network and Iterative Local Search

Domain Fusion CNN-LSTM for Short-Term Power Consumption Forecasting

A Novel and Effective University Course Scheduler Using Adaptive Parallel Tabu Search and Simulated Annealing

Self-Supervised Long-Short Term Memory Network for Solving Complex Job Shop Scheduling Problem

Self-Supervised Long-Short Term Memory Network for Solving Complex Job Shop Scheduling Problem

Fault Diagnosis of Bearing Based on Convolutional Neural Network Using Multi-Domain Features

Highly Accurate Short-Term Gas Consumption and Elapsed Time Forecasting Using Multi-Channel Deep Neural Network

Fault Diagnosis of Bearing Based on Convolutional Neural Network Using Multi-Domain Features

TFFS: A trainable federal fusion strategy for multistep time series forecasting

Adaptive multi-scale attention convolution neural network for cross-domain fault diagnosis

A lightweight network for real-time smoke semantic segmentation based on dual paths

DL-MSCNN: a general and lightweight framework for fault diagnosis with limited training samples

The value relevance of corporate voluntary carbon disclosure: Evidence from the United States and BRIC countries

DSMT-1DCNN: Densely supervised multitask 1DCNN for fault diagnosis

Accurate Multi-Site Daily-Ahead Multi-Step PM2.5 Concentrations Forecasting Using Space-Shared CNN-LSTM

A Novel and Effective University Course Scheduler Using Adaptive Parallel Tabu Search and Simulated Annealing

A Hybrid Deep Learning Scheme for Multi-Channel Sleep Stage Classification

Accurate Multi-Scale Feature Fusion CNN for Time Series Classification in Smart Factory

A Study on Customers’ Sentiment Analysis Based on Big Data Using Twitter Data

Traffic Accident Time Series Prediction Model Based on Combination of ARIMA and BP and SVM

Real-world effectiveness of COVID-19 vaccines: a literature review and meta-analysis

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