Hongjing Wei
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View article: Big Data and AI-Driven Product Design: A Survey
Big Data and AI-Driven Product Design: A Survey Open
As living standards improve, modern products need to meet increasingly diversified and personalized user requirements. Traditional product design methods fall short due to their strong subjectivity, limited survey scope, lack of real-time …
View article: Big Data and AI-driven Product Design: A Survey
Big Data and AI-driven Product Design: A Survey Open
As living standards improve, modern products need to meet increasingly diversified and personalized user requirements. Traditional product design methods fall short due to their strong subjectivity, limited survey scope, lack of real-time …
View article: A novel multiscale hybrid neural network for intelligent fine-grained fault diagnosis
A novel multiscale hybrid neural network for intelligent fine-grained fault diagnosis Open
Various intelligent methods for condition monitoring and fault diagnosis of mechanical equipment have been developed over the past few years. However, most of the existing deep learning (DL)-based fault diagnosis models perform well only …
View article: Big Data driven Product Design: A Survey
Big Data driven Product Design: A Survey Open
With the improvement of living standards, user requirements of modern products are becoming increasingly more diversified and personalized. Traditional product design methods can no longer satisfy the market needs due to their strong subje…
View article: Unified Multi-Objective Genetic Algorithm for Energy Efficient Job Shop Scheduling
Unified Multi-Objective Genetic Algorithm for Energy Efficient Job Shop Scheduling Open
In recent years, people have paid more and more attention to traditional manufacturing’s environmental impact, especially in terms of energy consumption and related emissions of carbon dioxide. Except for adopting new equipment, production…
View article: Personalized Product Evaluation Based on GRA-TOPSIS and Kansei Engineering
Personalized Product Evaluation Based on GRA-TOPSIS and Kansei Engineering Open
With the improvement of human living standards, users’ requirements have changed from function to emotion. Helping users pick out the most suitable product based on their subjective requirements is of great importance for enterprises. This…
View article: Hybrid Genetic Simulated Annealing Algorithm for Improved Flow Shop Scheduling with Makespan Criterion
Hybrid Genetic Simulated Annealing Algorithm for Improved Flow Shop Scheduling with Makespan Criterion Open
Flow shop scheduling problems have a wide range of real-world applications in intelligent manufacturing. Since they are known to be NP-hard for more than two machines, we propose a hybrid genetic simulated annealing (HGSA) algorithm for fl…