Multi-objective optimization based on machine learning and non-dominated sorting genetic algorithm for surface roughness and tool wear in Ti6Al4V turning

Experimental investigation into machinability of hardened AISI D6 steel using newly developed AlTiSiN coated carbide tools under sustainable finish dry hard turning

(2022) Anshuman Das et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING

Optimized posture prediction for task specific during stacking process using human upper body movements

(2022) Biswaranjan Rout et al.   International Journal of Interactive Design and Manufacturing - IJIDeM

Benchmark and Survey of Automated Machine Learning Frameworks

(2021) Marc-André Zöller et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Development of user-friendly kernel-based Gaussian process regression model for prediction of load-bearing capacity of square concrete-filled steel tubular members

(2021) Tien-Thinh Le et al.   MATERIALS AND STRUCTURES

Effects of variability in experimental database on machine-learning-based prediction of ultimate load of circular concrete-filled steel tubes

(2021) Nang Xuan Ho et al.   MEASUREMENT

Prediction of axial load capacity of rectangular concrete-filled steel tube columns using machine learning techniques

(2021) Tien-Thinh Le et al.   ENGINEERING WITH COMPUTERS

Applying Bayesian Optimization for Machine Learning Models in Predicting the Surface Roughness in Single-Point Diamond Turning Polycarbonate

(2021) Van-Hai Nguyen et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Development of artificial intelligence based model for the prediction of Young’s modulus of polymer/carbon-nanotubes composites

(2021) Nang Xuan Ho et al.   MECHANICS OF ADVANCED MATERIALS AND STRUCTURES

Genetic algorithm hybridized with eXtreme gradient boosting to predict axial compressive capacity of CCFST columns

(2021) Nguyen-Vu Luat et al.   COMPOSITE STRUCTURES

Evaluation of the ultimate eccentric load of rectangular CFSTs using advanced neural network modeling

(2021) Panagiotis G. Asteris et al.   ENGINEERING STRUCTURES

Multi-split optimized bagging ensemble model selection for multi-class educational data mining

(2020) MohammadNoor Injadat et al.   APPLIED INTELLIGENCE

Systematic ensemble model selection approach for educational data mining

(2020) MohammadNoor Injadat et al.   KNOWLEDGE-BASED SYSTEMS

Prediction and Optimization of Surface Roughness in a Turning Process Using the ANFIS-QPSO Method

(2020) Mahdi S. Alajmi et al.   Materials

Investigations on Surface Roughness and Tool Wear Characteristics in Micro-Turning of Ti-6Al-4V Alloy

(2020) Kubilay Aslantas et al.   Materials

Probabilistic investigation of the effect of stochastic imperfect interfaces in nanocomposites

(2020) Tien-Thinh Le   MECHANICS OF MATERIALS

Prediction of Ultimate Load of Rectangular CFST Columns Using Interpretable Machine Learning Method

(2020) Tien-Thinh Le et al.   Advances in Civil Engineering

An Empirical Comparison of Machine-Learning Methods on Bank Client Credit Assessments

(2019) Lkhagvadorj Munkhdalai et al.   Sustainability

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

(2019) Yinhao Zhu et al.   JOURNAL OF COMPUTATIONAL PHYSICS

A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide

(2019) Jie Chen et al.   ENVIRONMENT INTERNATIONAL

A mechanics based prediction model for tool wear and power consumption in drilling operations and its applications

(2019) Qi Wang et al.   JOURNAL OF CLEANER PRODUCTION

Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive strength of concrete

(2017) Faezehossadat Khademi et al.   Frontiers of Structural and Civil Engineering

High-pressure coolant on flank and rake surfaces of tool in turning of Ti-6Al-4V: investigations on surface roughness and tool wear

(2016) Mozammel Mia et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

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

Investigation of cutting parameters affecting on tool wear and surface roughness in dry turning of Ti-6Al-4V using CVD and PVD coated tools

(2016) Yahya Hışman Çelik et al.   Journal of the Brazilian Society of Mechanical Sciences and Engineering

Sustainable machining of titanium alloys: A critical review

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

Recent advances in machine intelligence

(2016) Suash Deb et al.   SOFT COMPUTING

Selection of Optimum Process Parameters in High Speed CNC End-Milling of Composite Materials Using Meta Heuristic Techniques – a Comparative Study

(2015) Vikas Pare et al.   STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING

Support vector machine applications in the field of hydrology: A review

(2014) Sujay Raghavendra. N et al.   APPLIED SOFT COMPUTING

Support vector machines applied to uniaxial compressive strength prediction of jet grouting columns

(2013) Joaquim Tinoco et al.   COMPUTERS AND GEOTECHNICS

Multi-objective optimization of milling parameters – the trade-offs between energy, production rate and cutting quality

(2013) Jihong Yan et al.   JOURNAL OF CLEANER PRODUCTION

A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS

(2012) Biswajeet Pradhan   COMPUTERS & GEOSCIENCES

Influence of Heat Treatment on the Machinability of Titanium Alloys

(2012) M. Armendia et al.   MATERIALS AND MANUFACTURING PROCESSES

Optimization of Machining Parameters in Turning of Titanium (Grade-5) Alloy Using Response Surface Methodology

(2012) S. R. Chauhan et al.   MATERIALS AND MANUFACTURING PROCESSES

Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models

(2012) Dieu Tien Bui et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Measurement and analysis of surface roughness in turning of aerospace titanium alloy (gr5)

(2012) S. Ramesh et al.   MEASUREMENT

In-process prediction of surface roughness in turning of Ti–6Al–4V alloy using cutting parameters and vibration signals

(2012) Vikas Upadhyay et al.   MEASUREMENT

Tool wear mechanisms and tool life enhancement in ultra-precision machining of titanium

(2011) A.R. Zareena et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Parametric optimization of electrochemical machining of Al/15% SiCp composites using NSGA-II

(2011) C. SENTHILKUMAR et al.   TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA

Predictive Modeling of the Ti6Al4V Alloy Surface Roughness

(2010) Nikos C. Tsourveloudis   JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS

Building strength models for high-performance concrete at different ages using genetic operation trees, nonlinear regression, and neural networks

(2009) Chien-Hua Peng et al.   ENGINEERING WITH COMPUTERS

Surface Roughness Analysis in Machining of Titanium Alloy

(2008) S. Ramesh et al.   MATERIALS AND MANUFACTURING PROCESSES

A new material model for 2D numerical simulation of serrated chip formation when machining titanium alloy Ti–6Al–4V

(2007) Madalina Calamaz et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE