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Long-term returns estimation of leveraged indexes and ETFs
Daily leveraged exchange traded funds amplify gains and losses of their underlying benchmark indexes on a daily basis. The result of going long in a...
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Cross-domain fusion and embedded refinement-based 6D object pose tracking on textureless objects
In industrial production, the ability to accurately perceive the location and orientation information of target objects enables the generalization of...
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Analysis of Human Motion Based on AI Technologies: Applications for Safeguarding Folk Dance Performances
Analysis of human motion is an important research area in computer vision with numerous applications. Recent projects, such as EU i-Treasures and...
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Intelligent Architectures for Extreme Event Visualisation
Realistic immersive visualisation can provide a valuable method for studying extreme events and enhancing our understanding of their complexity,...
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Generative adversarial networks and hessian locally linear embedding for geometric variations management in manufacturing
Geometric variations and uncertainty are generally observed on every manufactured workpiece and have a critical influence on the functional...
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Hawkes-driven stochastic volatility models: goodness-of-fit testing of alternative intensity specifications with S &P500 data
We introduce a novel stochastic volatility model with price and volatility co-jumps driven by Hawkes processes and develop a feasible...
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A survey on HoloLens AR in support of human-centric intelligent manufacturing
Augmented Reality (AR) has attracted unprecedented attention in industrial activities, especially after the emergence of HoloLens in 2016, which is...
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Methodology for complexity and cost comparison between subtractive and additive manufacturing processes
This works presents a methodology, along with its software implementation called “Design 2 Cost”, for evaluating the manufacturing cost and...
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Optimal bailout strategies resulting from the drift controlled supercooled Stefan problem
We consider the problem faced by a central bank which bails out distressed financial institutions that pose systemic risk to the banking sector. In a...
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A stochastic Asset Liability Management model for life insurance companies
We build a stochastic Asset Liability Management (ALM) model for a life insurance company. Therefore, we deal with both an asset portfolio, made up...
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Development of a cascaded multitask physics-informed neural network (CM-PINN) to construct the muti-physical field model of rubber bushing press fitting
The real-time and accurate prediction of the stress–strain and deformations field of material is a vital function for the intelligent press fitting...
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Prediction of thin-walled workpiece machining error: a transfer learning approach
The surface error induced by low-rigid deformation and intermittent cutting is common in the milling process of thin-walled workpieces. Machining...
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A novel curved surface profile monitoring approach based on geometrical-spatial joint feature
With the development of high-end manufacturing, a variety of sophisticated parts with complex curved surfaces have emerged, and curved surface...
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Transformation of the Knowledge Creation System of US IT MNEs
This paper argues that with the globalization of markets and businesses, the technological knowledge creation system has shifted from a national...
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Fast and accurate prediction of temperature evolutions in additive manufacturing process using deep learning
Typical computer-based parameter optimization and uncertainty quantification of the additive manufacturing process usually requires significant...
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Survey on the application of deep learning in the Internet of Things
The Internet of Things (IoT) is a network of physical instruments, software, and sensors connected to the Internet. The IoT produces massive data,...
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Valuation of mining projects under dynamic model framework
The proper solution to the optimal investment decision plays an important role in the decision-making process. Compared to the classical net present...
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So far, yet so close. Using networks of words to measure proximity and spillovers between firms
Textual data are the last frontier in the empirical literature on proximity between firms. While there are a growing number of studies using textual...
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Gear and bearing fault classification under different load and speed by using Poincaré plot features and SVM
This paper describes two algorithms for feature extraction from the Poincaré plot which is constructed with the vibration signals measured in roller...
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Downtime cost analysis of offloading operations due to influence of partially standing waves in Malaysian waters and development of graphical user interface
A cost related study for the offloading operations is an integral part of monetary risks assessment. The partially standing waves which occur between...
