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| Link zu diesem Datensatz | https://d-nb.info/1374769029 |
| Titel | Dynamic Data Driven Applications Systems : 5th International Conference, DDDAS/Infosymbiotics for Reliable AI 2024, New Brunswick, NJ, USA, November 6–8, 2024, Proceedings / edited by Erik Blasch, Frederica Darema, Dimitris Metaxas |
| Person(en) |
Blasch, Erik (Herausgeber) Darema, Frederica (Herausgeber) Metaxas, Dimitris (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2026 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2026 |
| Umfang/Format | Online-Ressource, XVI, 443 p. 182 illus., 176 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-94894-7 Printed edition:: ISBN: 978-3-031-94896-1 |
| Inhalt | -- Introduction to the Proceedings. -- Introduction to the DDDAS2024 Conference Infosymbiotics/DDDAS and AI: Towards Reliable AI. -- Plenary Papers. -- Materials, Aerospace, and Geomechanics Systems Methods. -- Online Fault Detection for Metal Additive Manufacturing with Data Driven Time Series Models. -- Weight Decay Optimized Unsupervised Autoencoder Based Anomaly Detection in Uncontrolled Dynamic Structural Health Monitoring. -- Novel Deep Learning Image Registration Techniques with Application to Microscopy Images of Metal Alloys. -- A Probabilistic Machine Learning Pipeline Using Topological Descriptors for Real-Time State Estimation of High-Rate Dynamic Systems. -- Information Fusion of Ultrasonic Waves and Low-Frequency Vibrations: Leveraging Probabilistic Machine Learning and Stochastic Time Series Models for Structural Awareness. -- Earthen Embankment Monitoring using LiDAR data by Randomized Consensus of Topological Data Analysis. -- Environmental Systems-Assessment/Response, DT Methods. -- Large Language Models for Explainable Decisions in Dynamic Digital Twins. -- DDDAS Probability Learning for Natural Disaster Change Detection. -- Dynamic Data-Driven Digital Twin Testbed for Enhanced First Responder Training and Communication. -- A Dynamic Data Driven Agent Based Model for Characterizing the Space Utilization of Asian Elephants in Response to Water Availability. -- Adaptive Multi-stage Sensor Fusion under Neuro-symbolic Framework for The Multi-modal Ranging System in Adverse Weather Conditions. -- Towards a Dynamic Data Driven Al Regional Weather Forecast Model. -- Autonomous Uncrewed Aircraft for Mobile Operations in Severe Weather. -- Autonomous Planning for Targeted Observation of Severe Weather. -- Security Systems –Methods, infrastructures, applications. -- Dynamic Data Driven Security Framework for Industrial Control Networks using Programmable Switches. -- Security of RF Sensing and Imaging Systems in the Age of Digital Twins. -- CCTV-Gun: Benchmarking Handgun Detection in CCTV Images. -- D4: Dynamic Data-Driven Discovery of Adversarial Vehicle Maneuvers. -- Data Poisoning: An Overlooked Threat to Power Grid Resilience. -- GAN-Based Approach for Detecting Energy Deception Attacks in CPS. -- Adversarial Attacks and Data-Driven Dynamic Outlier Detection Systems. -- Utilizing Matrix Profile with the DDDAS Framework for Anomaly Detection in Nuclear Security. -- Development of an Edge Resilient ML Ensemble to Tolerate ICS Adversarial Attacks. -- Anomaly Detection Transformer: A Novel Approach for Time Series Analysis of Wearable Health Data. -- A Spiral-Theoretic Approach for Trustworthy Al/ML in DDDAS. -- Tracking Systems, Automation and Robotics. -- Data-Driven Pixel Control: Challenges and Prospects. -- Dynamic Data-Driven Approach for LEO PNT Selection of Satellites with Poorly Known Ephemerides. -- Improving Physics-based Motion and Physical Parameter Estimations of a Tumbling, Non-cooperative Space Object Through DDDAS. -- An Expected KLD Based Censoring Strategy for Target Tracking in Distributed Sensor Networks. -- Reliable Al for UAVs Through Control/Perception Co-Design. -- Constraint-Aware Diffusion Models for Trajectory Optimization. -- Data-Driven Dynamics of Robot Locomotion on Granular Media. -- Improving Physics-based Motion and Physical Parameter Estimations of a Tumbling, Non-cooperative Space Object Through DDDAS. -- A Physics-Enhanced Deep Learning Model for Fast Prediction of the Behavior of a Forced Dynamic System. -- Edge-to-Cloud Al-Assisted Augmented Reality for Robust and Real-time Assistance to Operators. -- CAD Model Guided Semantic Segmentation for Radar Micro-UAV Signature Synthesis Across Different Clutter Environments Transformer: A Novel Approach for Time Series Analysis of Wearable Health Data. -- Towards Reliable Neural Optimizers: A Permutation Equivariant Neural Approximation for Information Processing Applications. -- Fast Topological Data Analysis Feature for Nonstationary Time Series. -- Predictive Modeling of Application Runtime in Dragonfly Systems. -- Adaptive Data Driven Network Slicing and Resource Blocks Assignment using Deep Reinforcement Learning. -- Explainable Diffusion Model via Schroedinger Bridge in Multimodal Image Translation. -- Using Mamba for Modeling Dynamical Systems in a Limited Data Scenario. -- Application of a state space based neural network model for Uncertainty Propagation in dynamical systems. -- From Positive to Negative: On the Role of Negative Data in Enhancing Generative Models for Engineering Constraint Satisfaction |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2508260412254.535267413048 DOI: 10.1007/978-3-031-94895-4 |
| URL | https://doi.org/10.1007/978-3-031-94895-4 |
| ISBN/Einband/Preis | 978-3-031-94895-4 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15514 |
| DDC-Notation | 004.2 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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