Dynamic Data Driven Applications Systems
5th International Conference, DDDAS/Infosymbiotics for Reliable AI 2024, New Brunswick, NJ, USA, November 6–8, 2024, Proceedings
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Beschreibung
This book constitutes the refereed proceedings of the 5th International Conference on Dynamic Data Driven Applications Systems, DDDAS/Infosymbiotics for Reliable AI 2024, held in New Brunswick, NJ, USA, during November 6–8, 2024.
The 43 full papers included in this book were carefully reviewed and selected from 52 submissions. By combining DDDAS and typical AI approaches, the papers address state-of-the-art efforts to create frameworks for enabling new and advanced Science and Technology capabilities to address challenges and create opportunities in important areas, spanning a wide set of areas, such as: materials and aerospace systems; communications networks; energy infrastructures; cyber-security; adverse environmental situations; societal dynamics; computer vision; robotics; laboratory automation; bio-informatics and pharmaceuticals design; and more.
Expands the path set by prior DDDAS forums on research advances and Science and Technology capabilities Integrates the DDDAS approach with AI to enable new ways to enhance capabilities in many research areas Presents and discusses advances in a wide set of application areas to advance "reliable AI"
Autor*in
Erik Blasch
Themen in »Dynamic Data Driven Applications Systems«
Data Driven Applications Systems DDDAS InfoSymbiotic Systems InfoSymbiotics DDDAS-based Digital Twins (DT) Dynamic Digital Twins (DT) Predictive Digital Twins (DT) Reliable AI Multimodal learning Multimodality and Model-based Real-time Decision Support Optimization methods Learning Methods and AI/ML Techniques Explainable and Interpretable Methods advanced Computer Vision methods, planning and control Materials Fundaments & Design Structural Health Monitoring, Aerospace, and Geomechanics System