Related references
Note: Only part of the references are listed.
Article
Computer Science, Information Systems
Alessandra De Benedictis et al.
Summary: The digital transformation has greatly impacted the health sector and the Digital Twin technology is considered a game changer in modern health systems. This paper focuses on the application of Digital Twin technology for virus containment in the workplace through social distancing and presents a case study of a canteen service serving 1100 workers.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Review
Public, Environmental & Occupational Health
Zhuo Zhao et al.
Summary: Various countries have quickly responded to the COVID-19 pandemic by utilizing technologies like robots, AI, and digital tools for maintaining social distancing, rapid diagnosis, and hygiene. A study examined 163 news articles and scientific reports on technology adoption related to COVID-19, selecting 50 applications for review to analyze their engineering characteristics and potential impact on the pandemic. Challenges and future directions in responding to this and future pandemics were also summarized and discussed.
DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS
(2022)
Article
Computer Science, Information Systems
Jinkang Guo et al.
Summary: Digital Twins is a brand-new interactive technology that has been widely applied in various fields due to its centrality, integrity, and dynamics. This paper aims to introduce the application status of Digital Twins and predict its future development trend.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Saleh Alrashed et al.
Summary: COVID-19 has had a significant impact on human life, and digital twin infrastructure can assist in remote work and alleviate the burden on services and infrastructure. Despite previous success in controlling the virus, Pakistan is struggling with the third wave due to non-compliance with social distancing norms. Digital twin technology can be used to provide services and essential facilities to citizens in response to the long-term impact of COVID-19 on the way we work.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Automation & Control Systems
Hung Dang et al.
Summary: Digital twin (DT) technology allows for the convergence of the real structure and its digital counterpart throughout their entire life-cycle. This article proposes a DT framework based on cloud computing and deep learning (DL) for efficient real-time monitoring and proactive maintenance. The feasibility of the framework is demonstrated through case studies of damage detection, achieving a high accuracy of 92%.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Construction & Building Technology
Sheng Yu et al.
Summary: This study proposes a structure health hybrid monitoring method using a digital twin bridge's finite element model to reconstruct un-monitored structural responses. Additionally, it evaluates the fatigue performance of a steel deck bridge by studying the distribution characteristics of welding residual stress and its coupling effect with other stresses.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Review
Engineering, Industrial
Fei Tao et al.
Summary: This paper provides a systematic research on the current studies of digital twin modeling and conducts a comprehensive and insightful analysis of digital twin models. It also investigates and summarizes the enabling technologies and tools for digital twin modeling and presents observations and future research recommendations.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Chemistry, Analytical
Mariana Segovia et al.
Summary: This paper introduces the concept of digital twins and focuses on the process of construction. It explores how to design, create, and connect physical objects with their virtual counterparts, and provides solutions for each stage and experimental platforms.
Article
Chemistry, Analytical
Radhya Sahal et al.
Summary: Digital twins are crucial for revolutionizing the healthcare industry through personalized, intelligent, and proactive healthcare. Personal digital twins, as an enhanced version of digital twins, can provide valuable insights for accurate decision making and treatment selection for patients. However, personal digital twins are still in their early stages of development, and more efforts are needed.
Review
Computer Science, Information Systems
Neha Koul et al.
Summary: This paper introduces the communication architecture and data exchange protocols of the Internet of Robotic Things (IoRT) system. It also discusses the use of artificial intelligence (AI) for secure and reliable communication. By applying these technologies, the IoRT system has the potential to provide rich and universal human reminiscences.
Review
Engineering, Biomedical
Asiya Khan et al.
Summary: Digital Twins (DTs) are promising tools for managing and predicting Covid-19 outbreaks, providing detailed models of patients to determine the most effective care methods. However, research on the use of DTs in healthcare is still in its early stages, particularly in the context of infectious disease outbreaks.
BIOMEDICAL ENGINEERING AND COMPUTATIONAL BIOLOGY
(2022)
Proceedings Paper
Automation & Control Systems
Andrew E. Bondoc et al.
Summary: Digital Twins and their applications in prognostics and diagnostics are rapidly growing and highly valuable for various industries. They can predict the Remaining Useful Life (RUL) of a device and avoid costly maintenance or failure. LIVE Digital Twin is a model-based solution for asset management enabled through sensor communication.
Article
Computer Science, Information Systems
Sadman Sakib Akash et al.
Summary: Digital Twin is a promising technology that replicates physical phenomena in a digital space, but its application in healthcare requires addressing challenges related to data collection and privacy. This article presents a mathematical data model for structured and predefined accumulation of patient data, and proposes a patient-centric Healthcare Digital Twin system based on Blockchain. The feasibility of the proposed model is also evaluated through comparison with relevant research works.
Article
Business
Wei Wang et al.
Summary: Last-mile delivery, accounting for half of the logistics cost, has become popular and automated methods like robotic delivery are being studied to reduce costs. This article proposes an AI-driven robotic delivery system with modules for user authentication and identification, ensuring secure and automated completion of delivery tasks.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2022)
Article
Engineering, Industrial
Qinglin Qi et al.
Summary: Digital twin is revolutionizing industry by mirroring almost every facet of a product, process or service in the digital space. However, realizing their full potential is a complex process as researchers need to model different parts of objects or systems, collect and merge varied types of data, and struggle with determining the technologies and tools to be used. The 5-dimension digital twin model provides guidance for understanding and implementing digital twin technologies.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Review
Engineering, Industrial
Mengnan Liu et al.
Summary: Engineering software and digitalized equipment are widely used in the industrial product lifecycle, generating massive data. The concept of digital twin has gained much attention and sparked debates. A comprehensive review of 240 academic publications reveals the research status, key technologies, and industrial applications of digital twin.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Chemistry, Analytical
Alfonso P. Ramallo-Gonzalez et al.
Summary: The paper discusses an integrated solution based on IoT technologies named CIoTVID, which can serve as opportunistic health data acquisition agents for combating the pandemic of COVID-19. The platform consists of four layers: data acquisition, data aggregation, machine intelligence, and services, and has been successfully tested with a use case creating a classifier of medical conditions using real voice data.
Review
Computer Science, Interdisciplinary Applications
Concetta Semeraro et al.
Summary: Manufacturing enterprises are facing the challenge of aligning themselves with new information technologies (IT) and responding to variable market demand. The key enabler of the IT revolution towards Smart Manufacturing is the digital twin (DT), which constantly synchronizes a virtual image with the real operating scenario to provide sound information for making decisions. This study aims to provide an overview of the main components of DT, their features, and interaction problems, while tracing ongoing research and technical challenges in conceiving and building DTs in different application domains and related technologies.
COMPUTERS IN INDUSTRY
(2021)
Article
Chemistry, Analytical
Ivan Vaccari et al.
Summary: The application of machine learning and artificial intelligence in the medical field is expanding, with a focus on remote monitoring and data augmentation for accurate algorithms. By using generative adversarial networks (GANs) to create synthetic datasets, and validating them through machine learning approaches, the accuracy of the synthetic data can be demonstrated.
Article
Green & Sustainable Science & Technology
Francesco Pilati et al.
Summary: The study aims to develop a digital twin to monitor and optimize the patient flow in vaccination centers in real-time. Through integrating a discrete-event simulation model with a mobile application, problems can be identified and improvement suggestions can be made.
Proceedings Paper
Automation & Control Systems
Enes Yigitbas et al.
Summary: Self-adaptation approaches often rely on closed-loop controllers, but human involvement can be beneficial in certain situations. Human-in-the-loop adaptive systems face challenges of transparency and controllability. By combining digital twins and VR interfaces, alternative strategies for human-in-the-loop adaptation can be explored to improve transparency and controllability.
2021 INTERNATIONAL SYMPOSIUM ON SOFTWARE ENGINEERING FOR ADAPTIVE AND SELF-MANAGING SYSTEMS (SEAMS 2021)
(2021)
Review
Computer Science, Information Systems
Maulshree Singh et al.
Summary: Digital Twin (DT) serves as a virtual copy of physical entities, interconnected in real time through data exchange, with wide applications and expected exponential growth. The complexity of Industry 4.0 system data generation adds to the confusion and lack of consensus surrounding DT terminology and types. Understanding the characteristics and types of DT, and weighing its pros and cons, is crucial for investors and industries.
APPLIED SYSTEM INNOVATION
(2021)
Letter
Emergency Medicine
Haley Ehrlich et al.
AMERICAN JOURNAL OF EMERGENCY MEDICINE
(2020)
Article
Environmental Sciences
Zeashan Hameed Khan et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2020)
Review
Biophysics
Joachim A. Behar et al.
PHYSIOLOGICAL MEASUREMENT
(2020)
Article
Engineering, Electrical & Electronic
Roberto Minerva et al.
PROCEEDINGS OF THE IEEE
(2020)
Article
Computer Science, Information Systems
Nora El-Rashidy et al.
Article
Psychiatry
Xie Zhang et al.
FRONTIERS IN PSYCHIATRY
(2020)
Article
Endocrinology & Metabolism
Ravi Pratap Singh et al.
DIABETES & METABOLIC SYNDROME-CLINICAL RESEARCH & REVIEWS
(2020)
Review
Robotics
Ovidiu Vermesan et al.
FRONTIERS IN ROBOTICS AND AI
(2020)
Review
Multidisciplinary Sciences
Sureshkumar Selvaraj et al.
SN APPLIED SCIENCES
(2020)
Article
Computer Science, Information Systems
Chanki Park et al.
Proceedings Paper
Computer Science, Artificial Intelligence
Patrick Stotko et al.
2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
(2019)
Article
Engineering, Industrial
Vincent Havard et al.
PRODUCTION AND MANUFACTURING RESEARCH-AN OPEN ACCESS JOURNAL
(2019)
Article
Computer Science, Information Systems
Barbara Rita Barricelli et al.
Proceedings Paper
Engineering, Electrical & Electronic
Mohd. Hamim et al.
2019 1ST INTERNATIONAL CONFERENCE ON ROBOTICS, ELECTRICAL AND SIGNAL PROCESSING TECHNIQUES (ICREST)
(2019)
Article
Computer Science, Hardware & Architecture
Prabha Sundaravadivel et al.
IEEE CONSUMER ELECTRONICS MAGAZINE
(2018)
Article
Computer Science, Information Systems
Tobias Mettler et al.
EUROPEAN JOURNAL OF INFORMATION SYSTEMS
(2017)
Article
Computer Science, Information Systems
Kazi Masudul Alam et al.
Review
Computer Science, Information Systems
L. A. Grieco et al.
COMPUTER COMMUNICATIONS
(2014)
Review
Environmental Sciences
Hong Chen et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2014)
Review
Computer Science, Information Systems
S. T. Liaw et al.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2013)
Review
Computer Science, Artificial Intelligence
Jessie Y. C. Chen et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS
(2007)
Article
Computer Science, Information Systems
M. Blount et al.
IBM SYSTEMS JOURNAL
(2007)