A two-step machine learning approach for dynamic model selection: A case study on a micro milling process

Back-stepping control of delta parallel robots with smart dynamic model selection for construction applications

(2022) Faraz Abed Azad et al.   AUTOMATION IN CONSTRUCTION

Visual Measurement of Milling Surface Roughness Based on Xception Model with Convolutional Neural Network

(2021) Yonglun Chen et al.   MEASUREMENT

Digital twin-driven surface roughness prediction and process parameter adaptive optimization

(2021) Lilan Liu et al.   ADVANCED ENGINEERING INFORMATICS

Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process

(2021) Yarens J. Cruz et al.   COMPUTERS IN INDUSTRY

A machine learning framework with dataset-knowledgeability pre-assessment and a local decision-boundary crispness score: An industry 4.0-based case study on composite autoclave manufacturing

(2021) Bryn Crawford et al.   COMPUTERS IN INDUSTRY

Estimation of Minimum Uncut Chip Thickness during Precision and Micro-Machining Processes of Various Materials—A Critical Review

(2021) Szymon Wojciechowski   Materials

Optimization of the Cutting Regime in the Turning of the AISI 316L Steel for Biomedical Purposes Based on the Initial Progression of Tool Wear

(2021) Ricardo del Risco-Alfonso et al.   Metals

Computer Vision System for Welding Inspection of Liquefied Petroleum Gas Pressure Vessels Based on Combined Digital Image Processing and Deep Learning Techniques

(2020) Yarens J. Cruz et al.   SENSORS

Adaptive model selection in photonic reservoir computing by reinforcement learning

(2020) Kazutaka Kanno et al.   Scientific Reports

Ranked Feature-Based Laser Material Processing Monitoring and Defect Diagnosis Using k-NN and SVM

(2020) Seung Hwan Lee et al.   Journal of Manufacturing Processes

Cloud-Based Industrial Cyber–Physical System for Data-Driven Reasoning: A Review and Use Case on an Industry 4.0 Pilot Line

(2020) Alberto Villalonga et al.   IEEE Transactions on Industrial Informatics

Investigation of signal behaviors for sensor fusion with tool condition monitoring system in turning

(2020) Mustafa Kuntoğlu et al.   MEASUREMENT

An ensemble imbalanced classification method based on model dynamic selection driven by data partition hybrid sampling

(2020) Xin Gao et al.   EXPERT SYSTEMS WITH APPLICATIONS

Data-driven decision model based on dynamical classifier selection

(2020) Che Xu et al.   KNOWLEDGE-BASED SYSTEMS

Variational LSTM Enhanced Anomaly Detection for Industrial Big Data

(2020) Xiaokang Zhou et al.   IEEE Transactions on Industrial Informatics

Surface roughness prediction using kernel locality preserving projection and Bayesian linear regression

(2020) Dongdong Kong et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Surface roughness of real operationally used compressor blade and blisk

(2019) Philipp Gilge et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING

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

A dynamic ensemble learning algorithm for neural networks

(2019) Kazi Md. Rokibul Alam et al.   NEURAL COMPUTING & APPLICATIONS

A survey on ensemble learning

(2019) Xibin Dong et al.   Frontiers of Computer Science

A systematic literature review of machine learning methods applied to predictive maintenance

(2019) Thyago P. Carvalho et al.   COMPUTERS & INDUSTRIAL ENGINEERING

A two‐layer ensemble learning framework for data‐driven soft sensor of the diesel attributes in an industrial hydrocracking process

(2019) Yalin Wang et al.   JOURNAL OF CHEMOMETRICS

Investigation of burr formation and tool wear in micromilling operation of duplex stainless steel

(2019) Leticia Cristina Silva et al.   PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY

Enhanced Random Forest With Concurrent Analysis of Static and Dynamic Nodes for Industrial Fault Classification

(2019) Zheng Chai et al.   IEEE Transactions on Industrial Informatics

Surface generation modeling of micro milling process with stochastic tool wear

(2019) Xuewei Zhang et al.   PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY

Reinforced Deterministic and Probabilistic Load Forecasting via $Q$ -Learning Dynamic Model Selection

(2019) Cong Feng et al.   IEEE Transactions on Smart Grid

Model-based surface roughness estimation using acoustic emission signals

(2019) P. Feng et al.   TRIBOLOGY INTERNATIONAL

Real-time monitoring of high-power disk laser welding based on support vector machine

(2018) Juequan Chen et al.   COMPUTERS IN INDUSTRY

Analysis of cutting force signals by wavelet packet transform for surface roughness monitoring in CNC turning

(2018) E. García Plaza et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Ultra-Short-Term Wind Power Prediction Based on Multivariate Phase Space Reconstruction and Multivariate Linear Regression

(2018) Rongsheng Liu et al.   Energies

Model Selection Techniques: An Overview

(2018) Jie Ding et al.   IEEE SIGNAL PROCESSING MAGAZINE

Arbitrage of forecasting experts

(2018) Vitor Cerqueira et al.   MACHINE LEARNING

Silicon Carbide Surface Quality Prediction Based on Artificial Intelligence Methods on Multi-sensor Fusion Detection Test Platform

(2018) Yawei Zhang et al.   MACHINING SCIENCE AND TECHNOLOGY

A method for model selection using reinforcement learning when viewing design as a sequential decision process

(2018) Jaskanwal P. S. Chhabra et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Dynamic Autoselection and Autotuning of Machine Learning Models for Cloud Network Analytics

(2018) Rupesh Raj Karn et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Characterization of tool-workpiece contact during the micromachining of conductive materials

(2017) Fernando Castaño et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Control of deviations and prediction of surface roughness from micro machining of THz waveguides using acoustic emission signals

(2017) James M. Griffin et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Development of mathematical models for surface roughness parameter prediction in turning depending on the process condition

(2016) Mite Tomov et al.   INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

A sensor fusion and support vector machine based approach for recognition of complex machining conditions

(2016) Changqing Liu et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Investigating the influence of built-up edge on forces and surface roughness in micro scale orthogonal machining of titanium alloy Ti6Al4V

(2016) Samad Nadimi Bavil Oliaei et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Surface roughness modeling and optimization of tungsten–copper alloys in micro-milling processes

(2016) Gerardo Beruvides et al.   MEASUREMENT

Built-up-edge effects on surface deterioration in micromilling processes

(2016) Z. Wang et al.   Journal of Manufacturing Processes

Fuzzy logic based model for predicting surface roughness of machined Al–Si–Cu–Fe die casting alloy using different additives-turning

(2015) Mohsen Marani Barzani et al.   MEASUREMENT

State of the Art on Micromilling of Materials, a Review

(2012) M.A. Câmara et al.   JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY

A Transductive Neuro-Fuzzy Controller: Application to a Drilling Process

(2010) Agustín Gajate et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Size effect and tool geometry in micromilling of tool steel

(2008) A. Aramcharoen et al.   PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY