Jidoka-DT simulator programmed by hybridize XGboost-LSTM to evaluate helmets quality produced by Rice-Straw-alumina plastic dough to resist shocks and impenetrable by Ahmed M. Abed, Ahmed Fathy, Radwa A. El Behairy, Tamer S Gaafar

“…The dough has been tested via a Digital Twin (DT) simulator that relies on human dexterity in mapping the helmet surface as a finite element (FEM) that is called Jidoka-DT. …”
Get full text

Software-Defined Value Stream Process Systems by Max Goebels, Alexander Schulte, Patrick Georgi, Fabian Heimberger, Jannik Schwalm, Oliver Liewerenz, Adrian Schäfer, Jürgen Fleischer, Alexander Verl, Hans-Christian Möhring, Volker Schulze, Sven Matthiesen, Nejila Parspour

“…These modules are coordinated via a digital process chain that enables holistic simulations, optimizations, and planning based on a Digital Twin. This system is based on software-defined manufacturing but extends it into autonomous reconfigurable machines. …”
Get full text

Synergetic monitoring of pressure and temperature stimulations in multisensory electronic skin based on time decoupling effect by Zhiyi Gao, Ye Zhang, Zhenyu Hu, Dongdong Zhang, Shengbin Li, Huiyun Xiao, Ziyin Xiang, Dan Xu, Haifeng Zhang, Yuanzhao Wu, Yiwei Liu, Jie Shang, Runwei Li

Get full text

Construction and Application of Recognition Model for Black-Odorous Water Bodies Based on Artificial Neural Network by Zhonghua Xu, Changguo Dai, Jing Wang, Lejun Liu, Lei Jiang

“…In the water environment, construction, and civil engineering industries, digital twins have gradually become a popular solution in recent years, and in digital twins, accurate data prediction and category recognition are important parts of it. …”
Get full text

Hydrologic response and prediction of future water level changes in Qinghai Lake of Tibet Plateau, China by Haibin Wang, Jiahong Liu, Zhuoran Luo, Sana Nazli, Lu Shi

Get full text

Artificial intelligence across oncology specialties: current applications and emerging tools by Frank Lin, Tim Rattay, John Kang, Evangelia Katsoulakis, Kyle Lafata, Ellen Kim, Christopher Yao, Harsha Nori, Christoph Ilsuk Lee

“…In this review, we provide multidisciplinary perspectives on oncology applications touched by AI—imaging, pathology, patient triage, radiotherapy, genomics-driven therapy and surgery—and integration with existing tools—natural language processing, digital twins and clinical informatics.…”
Get full text

Convergence of evolving artificial intelligence and machine learning techniques in precision oncology by Elena Fountzilas, Tillman Pearce, Mehmet A. Baysal, Abhijit Chakraborty, Apostolia M. Tsimberidou

“…The applications of AI/ML in precision oncology are extensive and include the generation of synthetic data, e.g., digital twins, in order to provide the necessary information to design or expedite the conduct of clinical trials. …”
Get full text

Electronics packaging materials and component-level degradation monitoring by Adwait Inamdar, Willem D. Van Driel, GuoQi Zhang

“…Lastly, the hardware requirements are discussed, including specialised sensors, measurement techniques, and Digital Twins, to capture the degradation effects and facilitate component-level health monitoring for microelectronics.…”
Get full text

Advanced Modeling and 3D Printing Techniques for Game and CGI Characters by Ștefan-Andrei LAZĂR, Patricia Isabela BRĂILEANU

“…The article also discusses the interoperability between certain three–dimensional modeling platforms on the current market and the impact of new technologies such as the so-called digital twins or the metaverse, on the future of three-dimensional graphics and threedimensional modeling of game characters. …”
Get full text

Conciliating accuracy and efficiency to empower engineering based on performance: a short journey by Chinesta, Francisco, Cueto, Elias

“…For that purpose physics-informed digital twins (also known as Hybrid Twins) will be employed, allying real-time physics (where complex models are solved by using advanced model order reduction techniques) and physics-informed data-driven models for filling the gap between the reality and the physics-based model predictions. …”
Get full text

VARAT: Variable Annotation Tool for Documents on Manufacturing Processes by Shota Kato, Manabu Kano

“…Building physical models is essential for realizing digital twins in the manufacturing industry. This task, however, is labor-intensive and requires a deep understanding of target processes and extensive knowledge from various literature sources. …”
Get full text

The present and future of digital health, digital medicine, and digital therapeutics for allergic diseases by He Zhang, Yang Cao, Haibo Jiang, Qilin Zhou, Qintai Yang, Lei Cheng

“…Conclusion Digital therapy will play an important role in allergic diseases, and the further development of digital therapies will effectively promote the development of clinical research, digital biomarkers, hypoallergenic environments and digital twins. More research is needed to support the progress of digital therapy for allergic diseases.…”
Get full text

Sustainable Additive Manufacturing: An Overview on Life Cycle Impacts and Cost Efficiency of Laser Powder Bed Fusion by Ramin Rahmani, Bashir Bashiri, Sérgio I. Lopes, Abrar Hussain, Himanshu S. Maurya, Raivo Vilu

“…Sustainable technologies could support the concepts of the factory of the future (FoF), fulfilling the requirements of digital transformation and digital twins. This overview study reveals that implementing AM—specifically SLM—has the potential to reduce the environmental impact of manufacturing. …”
Get full text

New era towards autonomous additive manufacturing: a review of recent trends and future perspectives by Haolin Fan, Chenshu Liu, Shijie Bian, Changyu Ma, Junlin Huang, Xuan Liu, Marshall Doyle, Thomas Lu, Edward Chow, Lianyi Chen, Jerry Ying Hsi Fuh, Wen Feng Lu, Bingbing Li

“…The additive manufacturing (AM) landscape has significantly transformed in alignment with Industry 4.0 principles, primarily driven by the integration of artificial intelligence (AI) and digital twins (DT). However, current intelligent AM (IAM) systems face limitations such as fragmented AI tool usage and suboptimal human-machine interaction. …”
Get full text

Metasurface-enabled multifunctional single-frequency sensors without external power by Masaya Tashiro, Kosuke Ide, Kosei Asano, Satoshi Ishii, Yuta Sugiura, Akira Uchiyama, Hiroki Wakatsuchi

“…Abstract IoT sensors are crucial for visualizing multidimensional and multimodal information and enabling future IT applications/services such as cyber-physical spaces, digital twins, autonomous driving, smart cities and virtual/augmented reality (VR or AR). …”
Get full text

RETRACTED: Robot Path Planning Method Based on Indoor Spacetime Grid Model by Huangchuang Zhang, Qingjun Zhuang, Ge Li

“…In the context of digital twins, smart city construction and artificial intelligence technology are developing rapidly, and more and more mobile robots are performing tasks in complex and time-varying indoor environments, making, at present, the unification of modeling, dynamic expression, visualization of operation, and wide application between robots and indoor environments a pressing problem to be solved. …”
Get full text

Effective Underground Facilities Management in Virtual Reality by Applying a Cybersickness Reduction Technique Based on a Four-Degree-of-Freedom Motion Simulator by Namkyoo Kang, Sang-Woo Seo, Woo-Sug Jung, Jongchan Lee, Yong-Tae Lee

“…To address these, we developed an effective VR-based UUT management training simulator, integrating digital twins with a multi-degree-of-freedom (DoF) motion platform to provide an immersive, cybersickness-reducing experience. …”
Get full text

Digital maturity of the Russian metallurgical industry: drivers and challenges of growth in new geopolitical conditions. Part II. Key directions of digital transformation by I. S. Prokhorova, V. S. Ustinov, A. V. Elkhova

“…The key areas of digital transformation are digital twins, machine vision and artificial intelligence, the creation of metal products and secondary raw materials marketplaces, which corresponds to the global digitalization trend. …”
Get full text

Physics-Informed Neural Network for modeling and predicting temperature fluctuations in proton exchange membrane electrolysis by Islam Zerrougui, Zhongliang Li, Daniel Hissel

“…This synergy of physics knowledge and data-driven learning opens new pathways towards real-time digital twins, enhanced predictive control, and improved reliability for PEM electrolysis and other complex, data-scarce energy systems.…”
Get full text

Data-Driven Technologies for Energy Optimization in Smart Buildings: A Scoping Review by Joy Dalmacio Billanes, Zheng Grace Ma, Bo Nørregaard Jørgensen

“…The key technologies identified included big data analytics, Artificial Intelligence, Machine Learning, the Internet of Things, Wireless Sensor Networks, Edge and Cloud Computing, Blockchain, Digital Twins, and Geographic Information Systems. Energy optimization is further achieved through integrating renewable energy resources and advanced energy management systems, such as Home Energy Management Systems and Building Energy Management Systems. …”
Get full text