Forecasting the power consumption of a rotor spinning machine by using an adaptive squeeze and excitation convolutional neural network with imbalanced data

Fog-IBDIS: Industrial Big Data Integration and Sharing with Fog Computing for Manufacturing Systems

(2019) Junliang Wang et al.   Engineering

AdaBalGAN: An Improved Generative Adversarial Network With Imbalanced Learning for Wafer Defective Pattern Recognition

(2019) Junliang Wang et al.   IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING

A collaborative architecture of the industrial internet platform for manufacturing systems

(2019) Junliang Wang et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Multivariate optimization of Pb(II) removal for clinoptilolite-rich tuffs using genetic programming: A computational approach

(2018) O. May Tzuc et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Big Data Mining of Energy Time Series for Behavioral Analytics and Energy Consumption Forecasting

(2018) et al.   Energies

A big data driven analytical framework for energy-intensive manufacturing industries

(2018) Yingfeng Zhang et al.   JOURNAL OF CLEANER PRODUCTION

Imbalanced data fault diagnosis of rotating machinery using synthetic oversampling and feature learning

(2018) Yuyan Zhang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Estimation of the operating temperature of photovoltaic modules using artificial intelligence techniques and global sensitivity analysis: A comparative approach

(2018) O. May Tzuc et al.   Journal of Renewable and Sustainable Energy

Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees

(2018) Muhammad Waseem Ahmad et al.   JOURNAL OF CLEANER PRODUCTION

Assessment of Resource and Forecast Modeling of Wind Speed through An Evolutionary Programming Approach for the North of Tehuantepec Isthmus (Cuauhtemotzin, Mexico)

(2018) Luis López-Manrique et al.   Energies

Energy consumption in machining: Classification, prediction, and reduction strategy

(2017) G.Y. Zhao et al.   ENERGY

A Convolutional Neural Network for Fault Classification and Diagnosis in Semiconductor Manufacturing Processes

(2017) Ki Bum Lee et al.   IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING

Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

(2017) Salman H. Khan et al.   IEEE Transactions on Neural Networks and Learning Systems

Sustainable textile production: cleaner production assessment/eco-efficiency analysis study in a textile mill

(2016) Emrah Ozturk et al.   JOURNAL OF CLEANER PRODUCTION

An energy-consumption model for establishing energy-consumption allowance of a workpiece in a machining system

(2016) Xiaona Zhou et al.   JOURNAL OF CLEANER PRODUCTION

Energy consumption model and energy efficiency of machine tools: a comprehensive literature review

(2016) Lirong Zhou et al.   JOURNAL OF CLEANER PRODUCTION

Energy efficiency of machining operations: A review

(2016) Mariyeh Moradnazhad et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE

Specific Energy Consumption and Co2Emission Reduction Analysis in a Textile Industry

(2015) P. Ganesan et al.   International Journal of Green Energy

An operation-mode based simulation approach to enhance the energy conservation of machine tools

(2015) Yansong Guo et al.   JOURNAL OF CLEANER PRODUCTION

A method for predicting the energy consumption of the main driving system of a machine tool in a machining process

(2015) Fei Liu et al.   JOURNAL OF CLEANER PRODUCTION

Resampling strategies for regression

(2014) Luís Torgo et al.   EXPERT SYSTEMS

Imbalanced data classification based on scaling kernel-based support vector machine

(2014) Yong Zhang et al.   NEURAL COMPUTING & APPLICATIONS

Energy requirements evaluation of milling machines based on thermal equilibrium and empirical modelling

(2013) Lin Li et al.   JOURNAL OF CLEANER PRODUCTION

SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory

(2011) Enislay Ramentol et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Modelling Power Consumption in Ball-End Milling Operations

(2011) G. Quintana et al.   MATERIALS AND MANUFACTURING PROCESSES

Electric energy consumption in the cotton textile processing stages

(2010) S. Palamutcu   ENERGY

Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy

(2009) Salvador García et al.   EVOLUTIONARY COMPUTATION

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Boosting support vector machines for imbalanced data sets

(2009) Benjamin X. Wang et al.   KNOWLEDGE AND INFORMATION SYSTEMS