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A novel predict-then-optimize method for sustainable bike-sharing management: a data-driven study in China
Sustainable operations management will appeal to the post-pandemic world. As the economy recovers, the surging demand for low-carbon bike-sharing has...
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Unbalance prediction method of aero-engine saddle rotor based on deep belief networks and GA-BP intelligent learning
Aiming at the problems of complex and time-consuming process of manual adjustment of eccentricity and tilt in the evaluation of machining error of...
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Digital twin-driven smelting process management method for converter steelmaking
The converter is an indispensable key equipment in the steel manufacturing industry. With the increasing demand for high-quality steel, there is an...
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An accuracy and performance-oriented accurate digital twin modeling method for precision microstructures
Digital twin, a core technology for intelligent manufacturing, has gained extensive research interest. The current research was mainly focused on...
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An online prediction method for array antenna assembly performance based on digital twin
In the actual array antenna assembly process, changes in the assembly process parameters strongly impact the solder joints. Thus, it is always...
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An intelligent prediction method of surface residual stresses based on multi-source heterogeneous data
Surface residual stresses ( Rs ) have a significant impact on the performance of machined parts, including fatigue life and corrosion resistance. To...
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A performance evaluation method based on combination of knowledge graph and surrogate model
To satisfy the requirements of individual design and rapid performance evaluation of complex products, this paper proposes a hybrid approach to build...
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Anomaly Detection Method of Healthcare Internet of Things Gateway Supporting Edge Computing
As the link between the perception layer and the network layer, the Internet of Things gateway is of great significance to the safe and stable...
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Intelligent hierarchical compensation method for industrial robot positioning error based on compound branch neural network automatic creation
Absolute positioning accuracy is a crucial index for evaluating industrial robot performance and the foundation for motion trajectory and machining...
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Human–machine knowledge hybrid augmentation method for surface defect detection based few-data learning
Visual-based defect detection is a crucial but challenging task in industrial quality control. Most mainstream methods rely on large amounts of...
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Machining accuracy prediction and adaptive compensation method of CNC machine tool under absence of machining process sensing
Spindle axial error is the main factor restricting machining accuracy improvements of machine tools. Monitoring the machining process of computer...
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An ensemble method of the machine learning to prognosticate the gastric cancer
Gastric Cancer is the most common malignancy of the digestive tract, which is the third leading cause of cancer-related mortality worldwide. The...
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Enhanced modeling method of thermal behaviors in machine tool motorized spindles based on the mixture of thermal mechanism and machine learning
The thermal behavior of the motorized spindle is a key issue that restricts the accuracy and efficiency of machining centers. Spindle thermal error...
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Data-Driven Joint Pricing and Inventory Management Newsvendor Problem
Data-driven methods are proposed to optimize both pricing and inventory management strategies in price and quantity setting newsvendor problem....
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Dynamic travel time prediction with spatiotemporal features: using a GNN-based deep learning method
Providing accurate travel time prediction plays an important role in Intelligent Transportation System. It is critical in urban travel decision...
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An integrated data envelopment analysis and regression tree method for new product price estimation
Data envelopment analysis (DEA) is a well-established method for measuring efficiency among a comparable group of decision-making units (DMUs). DMUs...
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A GIS - Based Location Selection Method for Prefabricated Component Factory
With the promotion of prefabricated buildings in our country, the number of prefabricated buildings and prefabricated component factories has...
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Carbon trading price prediction based on a two-stage heterogeneous ensemble method
Several countries have formulated carbon–neutral plans in dealing with global warming, which have also derived various carbon trading markets. All...
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US Natural Gas Consumption Analysis via a Smart Time Series Approach Based on Multilayer Perceptron ANN Tuned by Meta-heuristic Algorithms
Today, balancing energy supply and demand due to limited resources has become one of the most important concerns of governments. Therefore,...
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A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles
Thermal error modeling (TEM) is essential for preserving machining accuracy and enhancing the reliability of electric spindle systems. However, the...
