Convolutional and generative adversarial neural networks in manufacturing

Data driven parallel prediction of building energy consumption using generative adversarial nets

(2019) Chenlu Tian et al.   ENERGY AND BUILDINGS

Generative adversarial networks for data augmentation in machine fault diagnosis

(2019) Siyu Shao et al.   COMPUTERS IN INDUSTRY

Spontaneous talking gestures using Generative Adversarial Networks

(2019) Igor Rodriguez et al.   ROBOTICS AND AUTONOMOUS SYSTEMS

Convolutional neural network based combustion mode classification for condition monitoring in the supersonic combustor

(2019) Xiaobin Zhu et al.   ACTA ASTRONAUTICA

Service manufacturing: Basic concepts and technologies

(2019) Andrew Kusiak   JOURNAL OF MANUFACTURING SYSTEMS

Fog computing and convolutional neural network enabled prognosis for machining process optimization

(2019) Y.C. Liang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Deep learning for smart manufacturing: Methods and applications

(2018) Jinjiang Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Improving Deep Ensemble Vehicle Classification by Using Selected Adversarial Samples

(2018) Wei Liu et al.   KNOWLEDGE-BASED SYSTEMS

Generative adversarial network based telecom fraud detection at the receiving bank

(2018) Yu-Jun Zheng et al.   NEURAL NETWORKS

An intelligent diagnosis scheme based on generative adversarial learning deep neural networks and its application to planetary gearbox fault pattern recognition

(2018) Zirui Wang et al.   NEUROCOMPUTING

Application of improved least-square generative adversarial networks for rail crack detection by AE technique

(2018) Kangwei Wang et al.   NEUROCOMPUTING

A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults

(2018) Te Han et al.   KNOWLEDGE-BASED SYSTEMS

Machining vibration states monitoring based on image representation using convolutional neural networks

(2017) Yang Fu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Using generative adversarial networks for improving classification effectiveness in credit card fraud detection

(2017) Ugo Fiore et al.   INFORMATION SCIENCES

Product failure prediction with missing data

(2017) Seokho Kang et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Smart manufacturing must embrace big data

(2017) Andrew Kusiak   NATURE

Applications of artificial intelligence in intelligent manufacturing: a review

(2017) Bo-hu Li et al.   Frontiers of Information Technology & Electronic Engineering

Integration of rough set and neural network ensemble to predict the configuration performance of a modular product family

(2010) Haiping Zhu et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Decision tree based control chart pattern recognition

(2008) Chih-Hsuan Wang et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Optimising product configurations with a data-mining approach

(2008) Z. Song et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Data mining in manufacturing: a review based on the kind of knowledge

(2008) A. K. Choudhary et al.   JOURNAL OF INTELLIGENT MANUFACTURING