LEADER 01168nam0 2200277 i 450 001 SUN0004618 005 20120315095736.166 100 $a20020724d1996 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $aTutela dei cittadini e qualità dei servizi$fa cura di Ugo De Ambrogio, Maria Chiara Setti Bassanini 210 $aMilano$cAngeli$dc1996 215 $a280 p.$d21 cm. 410 1$1001SUN0038214$12001 $aPolitiche sociali$v14$1210 $aMilano$cAngeli. 620 $dMilano$3SUNL000284 702 1$aDe Ambrogio$b, Ugo$3SUNV004244 702 1$aSetti Bassanini$b, Maria C.$3SUNV004245 712 $aAngeli$3SUNV000073$4650 790 1$aSetti Bassanini, Maria Chiara$zSetti Bassanini, Maria C.$3SUNV071973 801 $aIT$bSOL$c20181109$gRICA 912 $aSUN0004618 950 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA$d00 CONS IV.Eo.5 $e00 10262 995 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA$h10262$kCONS IV.Eo.5$op$qa 996 $aTutela dei cittadini e qualità dei servizi$9974573 997 $aUNICAMPANIA LEADER 07748nam 22006615 450 001 996673178803316 005 20250825130206.0 010 $a9783031948954 024 7 $a10.1007/978-3-031-94895-4 035 $a(CKB)40420304300041 035 $a(MiAaPQ)EBC32271559 035 $a(Au-PeEL)EBL32271559 035 $a(DE-He213)978-3-031-94895-4 035 $a(EXLCZ)9940420304300041 100 $a20250825d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDynamic Data Driven Applications Systems $e5th International Conference, DDDAS/Infosymbiotics for Reliable AI 2024, New Brunswick, NJ, USA, November 6?8, 2024, Proceedings /$fedited by Erik Blasch, Frederica Darema, Dimitris Metaxas 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (664 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15514 311 08$a9783031948947 327 $a -- 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. 330 $aThis book constitutes the refereed proceedings of the 5th International Conference on Dynamic Data Driven Applications Systems, DDDAS/Infosymbiotics for Reliable AI 2024, held in New Brunswick, NJ, USA, during November 6?8, 2024. The 43 full papers included in this book were carefully reviewed and selected from 52 submissions. By combining DDDAS and typical AI approaches, the papers address state-of-the-art efforts to create frameworks for enabling new and advanced Science and Technology capabilities to address challenges and create opportunities in important areas, spanning a wide set of areas, such as: materials and aerospace systems; communications networks; energy infrastructures; cyber-security; adverse environmental situations; societal dynamics; computer vision; robotics; laboratory automation; bio-informatics and pharmaceuticals design; and more. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15514 606 $aComputer simulation 606 $aComputers, Special purpose 606 $aQuantitative research 606 $aDynamics 606 $aNonlinear theories 606 $aComputer Modelling 606 $aSpecial Purpose and Application-Based Systems 606 $aData Analysis and Big Data 606 $aApplied Dynamical Systems 615 0$aComputer simulation. 615 0$aComputers, Special purpose. 615 0$aQuantitative research. 615 0$aDynamics. 615 0$aNonlinear theories. 615 14$aComputer Modelling. 615 24$aSpecial Purpose and Application-Based Systems. 615 24$aData Analysis and Big Data. 615 24$aApplied Dynamical Systems. 676 $a003.3 700 $aBlasch$b Erik$0986166 701 $aDarema$b Frederica$01427867 701 $aMetaxas$b Dimitris$01845116 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996673178803316 996 $aDynamic Data Driven Applications Systems$94428598 997 $aUNISA