Description
Book Synopsis.- 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.
