Series: Engineering Applications of Computational Methods

Effective Methods for Integrated Process Planning and Scheduling

Engineering Applications of Discrete Element Method

Engineering Applications of Discrete Element Method

Admissible Consensus and Consensualization for Singular Multi-agent Systems

Deep Learning for Hyperspectral Image Analysis and Classification

Process Monitoring and Fault Diagnosis Based on Multivariable Statistical Analysis

Wavelet Numerical Method and Its Applications in Nonlinear Problems

Deep Learning for Hyperspectral Image Analysis and Classification

Wavelet Numerical Method and Its Applications in Nonlinear Problems

Welding and Cutting Case Studies with Supervised Machine Learning

Welding and Cutting Case Studies with Supervised Machine Learning

Substructuring Method for Civil Structural Health Monitoring

Digital Twin Pose Detection for Mechanical Equipment

Process Monitoring and Fault Diagnosis Based on Multivariable Statistical Analysis

Collaborative Optimization of Complex Energy Systems

Data Science in Air Quality Monitoring

New Paradigms in Flow Battery Modelling

Intelligent Optimization and Control of Complex Metallurgical Processes

Isogeometric Topology Optimization

Space–Time Conservation Element and Solution Element Method

Assembly Line Balancing under Uncertain Task Time and Demand Volatility

Intelligence Optimization for Green Scheduling in Manufacturing Systems

New Paradigms in Flow Battery Modelling

Intelligent Algorithms for Packing and Cutting Problem

Space–Time Conservation Element and Solution Element Method

Computational Fluid Dynamics

Intelligent Algorithms for Packing and Cutting Problem

Isogeometric Topology Optimization

Intelligence Optimization for Green Scheduling in Manufacturing Systems

Data-driven Fault Diagnosis for Complex Industrial Processes

Performance Optimization of Fault Diagnosis Methods for Power Systems

Efficient Online Learning Algorithms for Total Least Square Problems

Multi-fidelity Surrogates

Performance Optimization of Fault Diagnosis Methods for Power Systems

Computational Fluid Dynamics

Multi-fidelity Surrogates

Intelligent Optimization and Control of Complex Metallurgical Processes

Assembly Line Balancing under Uncertain Task Time and Demand Volatility

Artificial Intelligence Enabled Computational Methods for Smart Grid Forecast and Dispatch

Artificial Intelligence Enabled Computational Methods for Smart Grid Forecast and Dispatch