相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。
Article
Cardiac & Cardiovascular Systems
Ioannis Skalidis et al.
Summary: The recent pandemic has accelerated the adoption of telemedicine in cardiovascular health and led to the growth of technological advancements like the metaverse. The concept of the CardioVerse represents the embracing of the metaverse in cardiovascular medicine, introducing new dimensions to disease education, prevention, and diagnosis. Despite various obstacles in security, technical, legislative, and regulatory domains, the use of non-fungible tokens as a security asset for patient data shows potential as a solution.
TRENDS IN CARDIOVASCULAR MEDICINE
(2023)
Article
Computer Science, Artificial Intelligence
Hongbing Shang et al.
Summary: Surface defect detection plays a crucial role in intelligent manufacturing and product life-cycle management. Existing methods mainly rely on convolutional architectures, but the limited receptive field poses challenges for performance improvement. Transformer-based models, with their ability to model long-range dependencies, have achieved success in computer vision. However, using Transformer models without modification lacks defect awareness and relevance.
ADVANCED ENGINEERING INFORMATICS
(2023)
Review
Operations Research & Management Science
Purva Grover et al.
Summary: This study explores the feasibility of AI utilization in different elements of operations management and provides guidelines for managers based on the collective intelligence of experts on Twitter and academic literature.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Yi Qin et al.
Summary: This study introduces a novel Cycle Generative Adversarial Network based on a symmetric tree structure (Tree-CycleGAN) for augmenting gear pitting samples and improving gear pitting detection accuracy. Results demonstrate that Tree-CycleGAN outperforms other methods in terms of image quality and diversity, and its combination with U-net for gear pitting detection shows significant improvements in performance.
APPLIED SOFT COMPUTING
(2022)
Editorial Material
Engineering, Environmental
Matthias C. Rillig et al.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Article
Automation & Control Systems
Yi Qin et al.
Summary: This article proposes a digital twin model of life-cycle rolling bearing driven by the combination of data and model. By using measured signals and the bearing fault dynamic model, the size and evolution law of bearing defects can be estimated. These information is then introduced into the bearing dynamic model in virtual space, and finally the data in virtual space is mapped to the corresponding data in physical space using an improved neural network.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Management
Ruomeng Cui et al.
Summary: This research examines how buyers' use of artificial intelligence impacts suppliers' price quoting strategies, revealing that without smart control, there is price discrimination against chatbot buyers. However, utilizing a smart recommendation system can effectively reduce suppliers' price quotes for chatbot buyers, highlighting the importance of automation and smartness in AI procurement processes.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
Dai-In Danny Han et al.
Summary: This paper critically reviews literature on virtual reality consumer experience escapes and discusses the issues in its design and application, as well as the impacts on consumer health and well-being. It presents future considerations and a sequential research agenda.
Article
Psychology, Social
Giuseppe Riva et al.
Cyberpsychology Behavior and Social Networking
(2022)
Article
Geography
Andy Hudson-Smith et al.
Summary: This paper provides a brief history of the development of virtual geographic environments, emphasizing the use of online gaming, three-dimensional representations of cities, and the all-pervasive nature of computer technologies to construct various models of geospatial systems. The authors explore new forms of analysis through virtual environments, enabling exploration of future spatial scenarios and addressing key urban problems. The paper identifies three key issues and discusses how these technologies can inform urban planning and address challenges in this field.
TRANSACTIONS IN GIS
(2022)
Article
Computer Science, Artificial Intelligence
Ying Liang et al.
Summary: In this article, a simple yet powerful image transformation network is proposed to remove textures and highlight defects at full resolution. The network utilizes a polynomial loss function combining perceptual loss, structural similarity loss, and image gradient loss to effectively suppress texture and emphasize defects. The method demonstrates superior performance in experiments and has been successfully applied to the surface defect online detection system of an aluminum ingot milling production line.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Chemistry, Multidisciplinary
Luis Omar Alpala et al.
Summary: This article discusses the application of virtual reality in education and business, focusing on collaboration and communication practices in virtual environments. By replicating real-world characteristics through digital twins and avatar models, new ways of working and learning can be created in virtual worlds. The author proposes an experimental framework for collaboration in VR-powered metaverses and presents a case study in a smart factory.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Artificial Intelligence
Zhaofu Li et al.
Summary: This paper proposes a class knowledge graph (ZS-CKG) method to address the zero-shot problem in real-world surface defect recognition. By constructing a class knowledge graph and extracting features using graph convolutional neural networks, the proposed method achieves good performance on two real engineering datasets.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Engineering, Industrial
Dmitry Ivanov et al.
Summary: This study introduces the concept of a digital supply chain twin and its applications in managing supply chain risks, particularly during the COVID-19 pandemic. Digital twins enhance predictive and reactive decisions in risk management, ensuring supply chain visibility and business continuity.
PRODUCTION PLANNING & CONTROL
(2021)
Review
Optics
Shijie Feng et al.
Summary: In this work, a review of some of the most commonly used calibration methods in fringe projection profilometry is presented. The study covers basic principles, advantages, limitations, and factors affecting the performance of calibration methods. Quantitative and qualitative comparative experiments are used to showcase the advantages and suitability of each method.
OPTICS AND LASERS IN ENGINEERING
(2021)
Article
Optics
Wenbo Li et al.
Summary: This method utilizes novel fringe-width encoded fringe patterns to achieve efficient 3D shape measurement with minimal projected patterns and equipment, demonstrating its ability for both static and dynamic measurements.
Article
Optics
Pengcheng Yao et al.
Summary: Fringe projection profilometry is widely used for 3D reconstruction, but achieving super-resolution remains a challenge. The proposed dual-dense block super-resolution network aims to enhance fringe resolution and reconstruct high-definition 3D shapes effectively. Experimental results show that this method is stable and outperforms standard interpolation methods.
Article
Economics
Diana Burgos et al.
Summary: The study reveals that the COVID-19 pandemic has significantly impacted the food retail supply chains, particularly affected by pandemic intensity, government measures, inventory-ordering dynamics, and customer behavior. Surges in demand and supplier shutdowns have had the highest impact on supply chain operations and performance, while the impact of transportation disruptions was relatively low.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Engineering, Electrical & Electronic
Yan Zhang et al.
Summary: This paper investigates the performance of an RIS-assisted single-input single-output system over Rayleigh fading channels, considering the intertwining between amplitude and phase response. Closed-form expressions for outage probability and ergodic capacity are derived, along with simplified expressions assuming a large number of reflecting elements and tight upper and lower bounds for ergodic capacity. Analytical results are verified using Monte Carlo simulations.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Management
Ya-Jun Cai et al.
Summary: Platform operations are common in the sharing economy, allowing retailers to sell leftover products to platforms offering rental services. However, these operations can lead to a triple marginalization problem, which can be addressed with a markdown sponsor contract but may also result in a moral hazard problem. This moral hazard problem can bring losses to manufacturers and immoral gains to retailers.
Article
Engineering, Mechanical
Yang Luo et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2019)
Article
Optics
Shijie Feng et al.
OPTICS AND LASERS IN ENGINEERING
(2019)
Article
Management
Gah-Yi Ban et al.
OPERATIONS RESEARCH
(2019)
Article
Computer Science, Software Engineering
Qingnan Zhou et al.
COMPUTER GRAPHICS FORUM
(2018)
Editorial Material
Management
Olga Battaia et al.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2018)
Review
Optics
Chao Zuo et al.
OPTICS AND LASERS IN ENGINEERING
(2018)
Article
Optics
Tianyang Tao et al.
Article
Information Science & Library Science
Hee-Soo Choi et al.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2017)
Article
Computer Science, Theory & Methods
John David N. Dionisio et al.
ACM COMPUTING SURVEYS
(2013)
Article
Computer Science, Artificial Intelligence
Ruben Gonzalez Crespo et al.
EXPERT SYSTEMS WITH APPLICATIONS
(2013)
Article
Optics
Ming Zhao et al.
