Springer Series in Advanced Manufacturing - Data Driven Smart Manufacturing Technologies and Applications
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 9)

H-INDEX

(FIVE YEARS 0)

Published By Springer International Publishing

9783030668488, 9783030668495

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Adaptive Diagnostics on Machining Processes Enabled by Transfer Learning

Springer Series in Advanced Manufacturing - Data Driven Smart Manufacturing Technologies and Applications ◽

10.1007/978-3-030-66849-5_4 ◽

2021 ◽

pp. 65-90

Author(s):

Y. C. Liang ◽

W. D. Li ◽

S. Wang ◽

X. Lu

Keyword(s):

Transfer Learning ◽

Machining Processes

Introduction

Springer Series in Advanced Manufacturing - Data Driven Smart Manufacturing Technologies and Applications ◽

10.1007/978-3-030-66849-5_1 ◽

2021 ◽

pp. 1-12

Author(s):

W. D. Li ◽

Y. C. Liang ◽

S. Wang

Deep Transfer Learning Enabled Estimation of Health State of Cutting Tools

Springer Series in Advanced Manufacturing - Data Driven Smart Manufacturing Technologies and Applications ◽

10.1007/978-3-030-66849-5_7 ◽

2021 ◽

pp. 151-172

Author(s):

M. Marei ◽

S. El Zaataria ◽

W. D. Li

Keyword(s):

Transfer Learning ◽

Cutting Tools ◽

Health State

Enhancing Ant Colony Optimization by Adaptive Gradient Descent

Springer Series in Advanced Manufacturing - Data Driven Smart Manufacturing Technologies and Applications ◽

10.1007/978-3-030-66849-5_9 ◽

2021 ◽

pp. 191-215

Author(s):

Y. Zhou ◽

W. D. Li ◽

X. Wang ◽

Q. Qiu

Keyword(s):

Ant Colony Optimization ◽

Gradient Descent ◽

Ant Colony

Thermal Error Prediction for Heavy-Duty CNC Machines Enabled by Long Short-Term Memory Networks and Fog-Cloud Architecture

Springer Series in Advanced Manufacturing - Data Driven Smart Manufacturing Technologies and Applications ◽

10.1007/978-3-030-66849-5_6 ◽

2021 ◽

pp. 125-150

Author(s):

Y. C. Liang ◽

W. D. Li ◽

P. Lou ◽

J. M. Hu

Keyword(s):

Short Term Memory ◽

Thermal Error ◽

Error Prediction ◽

Heavy Duty ◽

Short Term ◽

Term Memory ◽

Cnc Machines ◽

Cloud Architecture ◽

Long Short Term Memory

Fog Computing and Convolutional Neural Network Enabled Prognosis for Machining Process Optimization

Springer Series in Advanced Manufacturing - Data Driven Smart Manufacturing Technologies and Applications ◽

10.1007/978-3-030-66849-5_2 ◽

2021 ◽

pp. 13-35

Author(s):

Y. C. Liang ◽

W. D. Li ◽

X. Lu ◽

S. Wang

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Process Optimization ◽

Fog Computing ◽

Machining Process

Prediction of Strength of Adhesive Bonded Joints Based on Machine Learning Algorithm and Finite Element Analysis

Springer Series in Advanced Manufacturing - Data Driven Smart Manufacturing Technologies and Applications ◽

10.1007/978-3-030-66849-5_8 ◽

2021 ◽

pp. 173-190

Author(s):

Y. C. Liang ◽

Y. D. Liu ◽

W. D. Li

Keyword(s):

Machine Learning ◽

Finite Element Analysis ◽

Finite Element ◽

Learning Algorithm ◽

Machine Learning Algorithm ◽

Bonded Joints ◽

Element Analysis ◽

Adhesive Bonded Joints

Big Data Enabled Intelligent Immune System for Energy Efficient Manufacturing Management

Springer Series in Advanced Manufacturing - Data Driven Smart Manufacturing Technologies and Applications ◽

10.1007/978-3-030-66849-5_3 ◽

2021 ◽

pp. 37-64

Author(s):

S. Wang ◽

Y. C. Liang ◽

W. D. Li

Keyword(s):

Big Data ◽

Immune System ◽

Energy Efficient ◽

Manufacturing Management ◽

Efficient Manufacturing ◽

Energy Efficient Manufacturing

CNN-LSTM Enabled Prediction of Remaining Useful Life of Cutting Tool

Springer Series in Advanced Manufacturing - Data Driven Smart Manufacturing Technologies and Applications ◽

10.1007/978-3-030-66849-5_5 ◽

2021 ◽

pp. 91-123

Author(s):

X. Y. Zhang ◽

X. Lu ◽

W. D. Li ◽

S. Wang

Keyword(s):

Cutting Tool ◽

Remaining Useful Life ◽

Useful Life

Springer Series in Advanced Manufacturing - Data Driven Smart Manufacturing Technologies and ApplicationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Adaptive Diagnostics on Machining Processes Enabled by Transfer Learning

Introduction

Deep Transfer Learning Enabled Estimation of Health State of Cutting Tools

Enhancing Ant Colony Optimization by Adaptive Gradient Descent

Thermal Error Prediction for Heavy-Duty CNC Machines Enabled by Long Short-Term Memory Networks and Fog-Cloud Architecture

Fog Computing and Convolutional Neural Network Enabled Prognosis for Machining Process Optimization

Prediction of Strength of Adhesive Bonded Joints Based on Machine Learning Algorithm and Finite Element Analysis

Big Data Enabled Intelligent Immune System for Energy Efficient Manufacturing Management

CNN-LSTM Enabled Prediction of Remaining Useful Life of Cutting Tool

Springer Series in Advanced Manufacturing - Data Driven Smart Manufacturing Technologies and Applications
Latest Publications