default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID5th DDDAS 2024: New Brunswick, NJ, USA
- Erik Blasch, Frederica Darema, Dimitris Metaxas:
Dynamic Data Driven Applications Systems - 5th International Conference, DDDAS/Infosymbiotics for Reliable AI 2024, New Brunswick, NJ, USA, November 6-8, 2024, Proceedings. Lecture Notes in Computer Science 15514, Springer 2026, ISBN 978-3-031-94894-7
Introduction to the Proceedings
- Erik Blasch, Frederica Darema, Dimitris Metaxas:
Introduction to the DDDAS2024 Conference Infosymbiotics/DDDAS and AI: Towards Reliable AI. 3-20
Plenary Papers: Materials, Aerospace, and Geomechanics Systems Methods
- Alvin Chen
, Fotis Kopsaftopoulos, Sandipan Mishra:
Online Fault Detection for Metal Additive Manufacturing with Data-Driven Time Series Models. 23-30 - Kang Yang, Zekun Yang, Zhihui Tian, Harsha Vardhan Tetali, Joel B. Harley:
Weight Decay Optimized Unsupervised Autoencoder Based Anomaly Detection in Uncontrolled Dynamic Structural Health Monitoring. 31-39 - Nathan A. Johnston, Nathan B. Gaw, John Wertz, Bruce Cox, Erik Blasch, Matthew Cherry, Sean M. O'Rourke, Laura Homa:
Novel Deep Learning Image Registration Techniques with Application to Microscopy Images of Metal Alloys. 40-48 - Yang Kang Chua, Daniel Coble, Arman Razmarashooli, Steve Paul, Daniel A. Salazar Martinez, Chao Hu, Austin R. J. Downey, Simon Laflamme:
A Probabilistic Machine Learning Pipeline Using Topological Descriptors for Real-Time State Estimation of High-Rate Dynamic Systems. 49-59 - Peiyuan Zhou, Yiming Fan, Fotis Kopsaftopoulos:
Information Fusion of Ultrasonic Waves and Low-Frequency Vibrations: Leveraging Probabilistic Machine Learning and Stochastic Time Series Models for Structural Awareness. 60-68 - Austin R. J. Downey, Jie Wei, A. Q. M. Zohuruzzaman, Paul T. Schrader, Sadik Khan, Jason D. Bakos, Weicong Feng, Erik Blasch, Erika Ardiles-Cruz:
Earthen Embankment Monitoring Using LiDAR Data by Randomized Consensus of Topological Data Analysis. 69-77
Plenary Papers: Environmental Systems-Assessment/Response, DT Methods
- Nan Zhang, Christian Roberto Vergara, Georgios Diamantopoulos, Jingran Shen, Nikos Tziritas, Rami Bahsoon, Georgios Theodoropoulos:
Large Language Models for Explainable Decisions in Dynamic Digital Twins. 81-89 - Weicong Feng, Adarsh Agrawal, Haibin Ling, Erik Blasch, Erika Adiles-Cruz, Paul T. Schrader, Jie Wei:
DDDAS Probability Learning for Natural Disaster Change Detection. 90-99 - Alyssa Cassity, Hieu Le, Hernán Santos, Erik Priest, Jian Tao:
Dynamic Data-Driven Digital Twin Testbed for Enhanced First Responder Training and Communication. 100-107 - Purathekandy Anjali, Deepak N. Subramani:
A Dynamic Data Driven Agent Based Model for Characterizing the Space Utilization of Asian Elephants in Response to Water Availability. 108-116 - Yajie Bao, Peng Cheng, Ping Zhuang, Yunqi Zhang, Zhengyang Fan, Genshe Chen, Erik Blasch, Khanh D. Pham:
Adaptive Multi-stage Sensor Fusion Under Neuro-Symbolic Framework for The Multi-modal Ranging System in Adverse Weather Conditions. 117-125 - Sophia Hamer, Jennifer Sleeman, Milton Halem:
Towards a Dynamic Data Driven AI Regional Weather Forecast Model. 126-134 - John J. Bird, Eric W. Frew, Brian Argrow:
Autonomous Uncrewed Aircraft for Mobile Operations in Severe Weather. 135-142 - Michael Moncton, Himanshu Gupta, Zachary Sunberg, Eric W. Frew:
Autonomous Planning for Targeted Observation of Severe Weather. 143-150
Plenary Papers: Security Systems-Methods, Infrastructures, Applications
- Reuben Samson Raj, Dong Jin:
Dynamic Data Driven Security Framework for Industrial Control Networks Using Programmable Switches. 153-161 - Lhamo Dorje, Qian Qu, Xiaohua Li, Yu Chen, Erika Ardiles-Cruz:
Security of RF Sensing and Imaging Systems in the Age of Digital Twins. 162-170 - Zhenghong Li, Srikar Yellapragada, Kevin Bhadresh Doshi, Purva Makarand Mhasakar, Heng Fan, Jie Wei, Erik Blasch, Bin Zhang, Haibin Ling:
CCTV-Gun: Benchmarking Handgun Detection in CCTV Images. 171-181 - Carlos Hernandez, Diego Ortiz Barbosa, Zengxiang Lei, Luis Burbano, Younghee Park, Satish V. Ukkusuri, Alvaro A. Cárdenas:
D4: Dynamic Data-Driven Discovery of Adversarial Vehicle Maneuvers. 182-190 - Nora Agah, Javad Mohammadi, Alex Aved, David Ferris, Erika Ardiles-Cruz, Philip Morrone:
Data Poisoning: An Overlooked Threat to Power Grid Resilience. 191-199 - Papa Pene, Weixian Liao, Wei Yu:
GAN-Based Approach for Detecting Energy Deception Attacks in CPS. 200-207 - Tahir Ekin, Laxmi Shaw, Venkata Surya Bellamkonda:
Adversarial Attacks and Data-Driven Dynamic Outlier Detection Systems. 208-215 - Miltiadis Alamaniotis:
Utilizing Matrix Profile with the DDDAS Framework for Anomaly Detection in Nuclear Security. 216-224 - Likai Yao, Qinxuan Shi, Zhanglong Yang, Sicong Shao, Salim Hariri:
Development of an Edge Resilient ML Ensemble to Tolerate ICS Adversarial Attacks. 225-234 - Shiyang Sima, Ritika Chaturvedi, Hossein Ghasemkhani, Alok R. Chaturvedi:
Data-Driven Early Detection of Infectious Disease Symptoms Using Wearable Sensor Data: A Transformer-Based Unsupervised Approach. 235-244 - Aspassia Daskalopulu, Alexander Chroneos, Ioannis Goulatis, Lefteri H. Tsoukalas:
A Spiral-Theoretic Approach for Trustworthy AI/ML in DDDAS. 245-253
Plenary Papers: Tracking Systems, Automation and Robotics
- Saurabh Farkya, Zachary Alan Daniels, Aswin Raghavan, Gooitzen van der Wal, Michael A. Isnardi, Michael R. Piacentino, David C. Zhang:
Data-Driven Pixel Control: Challenges and Prospects. 257-267 - Joe Saroufim, Zaher M. Kassas:
Dynamic Data-Driven Approach for LEO PNT Selection of Satellites with Poorly Known Ephemerides. 268-276 - Rabiul Hasan Kabir, Xiaoli Bai:
Improving Physics-Based Motion and Physical Parameter Estimations of a Tumbling, Non-cooperative Space Object Through DDDAS. 277-285 - Dave Bordenkircher, Ruixin Niu:
An Expected KLD Based Censoring Strategy for Target Tracking in Distributed Sensor Networks. 286-295 - Veera Venkata Ram Murali Krishna Rao Muvva, Kunjan Theodore Joseph, Marilyn Wolf, Santosh Pitla:
Reliable AI for UAVs Through Control/Perception Co-design. 296-307 - Anjian Li, Zihan Ding, Adji Bousso Dieng, Ryne Beeson:
Constraint-Aware Diffusion Models for Trajectory Optimization. 308-316 - Christina Nikiforidou, Balakumar Balachandran:
Data-Driven Dynamics of Robot Locomotion on Granular Media. 317-325 - Yufeng Sun, Ou Ma:
A Physics-Enhanced Deep Learning Model for Fast Prediction of the Behavior of a Forced Dynamic System. 326-335 - Robert Canady, Akhilesh Raj, Bach Tran, Shivakumar Sastry, Aniruddha Gokhale:
Edge-to-Cloud AI-Assisted Augmented Reality DDDAS Framework for Robust and Real-Time Assistance to Operators. 336-343 - Sean Kearney, Sevgi Zubeyde Gurbuz:
CAD Model Guided Semantic Segmentation for Radar Micro-UAV Signature Synthesis Across Different Clutter Environments. 344-351
Plenary Papers: Learning Methods and AI/ML Techniques
- Meiyi Li, Javad Mohammadi:
Towards Reliable Neural Optimizers: A Permutation Equivariant Neural Approximation for Information Processing Applications. 355-363 - Daniel A. Salazar Martinez, Arman Razmarashooli, Yang Kang Chua, Simon Laflamme, Chao Hu, Paul T. Schrader, Austin R. J. Downey, Jason D. Bakos, Negash Begashaw, Gurcan Comert, Jacob Dodson:
Fast Topological Data Analysis Features for Nonstationary Time Series. 364-371 - Pietro Lodi Rizzini, Xin Wang, Kevin A. Brown, Sourav Medya, Zhiling Lan:
Predictive Modeling of Application Runtime in Dragonfly Systems. 372-382 - Abdullah Alsaheal, Brent Langhals, Nurcin Celik:
Adaptive Data Driven Network Slicing and Resource Blocks Assignment Using Deep Reinforcement Learning. 383-390 - Zhengyi Lu, Robert L. Ewing, Erik Blasch, Jia Li:
Explainable Diffusion Model via Schrödinger Bridge in Multimodal Image Translation. 391-402 - Hunter Quebedeaux, Tarek A. Elgohary:
Using Mamba for Modeling Dynamical Systems in a Limited Data Scenario. 403-413 - Pugazhenthi Sivasankar, Hunter Quebedeaux, Tarek A. Elgohary:
Application of a State Space Based Neural Network Model for Uncertainty Propagation in Dynamical Systems. 414-427 - Lyle Regenwetter, Faez Ahmed:
From Positive to Negative: On the Role of Negative Data in Enhancing Generative Models for Engineering Constraint Satisfaction. 428-439
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-09-26 11:18 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
