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Evolving Deep Neural Networks for Continuous Learning
Continuous learning plays a crucial role in advancing the field of machine learning by addressing the challenges posed by evolving data and complex...
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Stitch Fix DTC Business Model Innovation Path Based on Data Driven
Using the interpretative case analysis method, through the collection and analysis of second-hand data, and based on the four element theoretical...
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Digital Twin for Multi-criteria Decision-Making Framework to Accelerate Fuel Qualification for Accident Tolerant Fuel Concepts
Accident-tolerant fuels and their licensing are one of the top priority strategic areas under “US Nuclear Regulation Committee (NRC) Systems Analysis...
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Spatial and Temporal Characteristics and Prediction of C&DW in Shenzhen
Recently, with the acceleration of urbanization and the increase of construction and demolition waste (C&DW) production, the research on C&DW...
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Disaster relief supply chain network planning under uncertainty
Supply chain planning during disasters can be challenging due to uncertainty in demand and travel time, leading to limited stocks and delivery...
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A digital twin approach for weld penetration prediction of tig welding with dual ellipsoid heat source
Tungsten Inert Gas (TIG) welding is a manufacturing process that utilizes argon as a shielding gas and tungsten as an electrode to join metals at...
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One-Shot Learning for MIPs with SOS1 Constraints
Efficient algorithms and solvers are required to provide optimal or near-optimal solutions quickly and enable organizations to react promptly to...
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Sheet resistance prediction of laser induced graphitic carbon with transformer encoder-enabled contrastive learning
Accurately predicting the sheet resistance of laser-induced graphitic carbon (LIGC) is crucial for optimizing process conditions and designing...
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Shape regulation of tapered microchannels in silica glass ablated by femtosecond laser with theoretical modeling and machine learning
Femtosecond laser processing is widely used in the micromachining of hard and brittle materials. Preparation of tapered microchannels with...
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Applying the Customer Asset
This chapter gives advice on how to use the customer asset in a variety of business situations. These include corporate valuation, customer...
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Characteristics of Grey System Theory
Grey system theory takes the uncertain system with poor information as the research object. It is an interdisciplinary method with strong...
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Optimizing Offshore Wind Turbine Reliability and Costs Through Predictive Maintenance and SCADA Data Analysis
The Norwegian Ministry of Petroleum and Energy’s commissioned report signifies a significant step towards the government’s goal of designating...
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“The AI Revolution in E-Commerce: Personalization and Predictive Analytics”
E-commerce, has totally changed the way we purchase goods and do business. Customers may now browse, purchase, and receive goods all from the comfort...
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Performance-Weighted Aggregation: Ferreting Out Wisdom Within the Crowd
The benefits of judgment aggregation are intuitive and well-documented. By combining the input of several judges, practitioners may enhance...
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Deep resource allocation for a massively multiplayer online finance of tourism gamification in metaverse
We would like to develop an effective multi-user finance service for tourism gamification in the metaverse. Such a digital marketing is emerging and...
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Robust asymmetric non-negative matrix factorization for clustering nodes in directed networks
Directed networks appear in an expanding array of applications, for example, the world wide web, social networks, transaction networks, and citation...
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Applying Artificial Intelligence in the Supply Chain
This chapter covers the applications of artificial intelligence (AI) in supply chain management (SCM). We elaborate on the applications of seven...
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Keyword-Level Bayesian Online Bid Optimization for Sponsored Search Advertising
Bid price optimization in online advertising is a challenging task due to its high uncertainty. In this paper, we propose a bid price optimization...
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Computational Tools and Techniques for Reliability and Maintainability
This chapter explores the digital advancements that have transformed reliability and maintainability analysis. Beginning with an introduction to the...
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An improved case based reasoning method and its application in estimation of surface quality toward intelligent machining
In the high speed milling process, the accurate predictions of surface roughness and residual stress can avoid the deterioration of machined surface...
