Samuel Myren |  Nidhi Parikh... -  《Data Science in Engineering,Vol.10》 -  IMAC Conference and Exposition on Structural Dynamics - 2025, - 7～18 - 共12页

摘要：Research in machine learning (ML) for structural health monitoring (SHM) has increased in recent years due to ML's potential to extract information from large quantities of data collected under varyin...

关键词： Foundation model |  Model evaluation |  Seismic |  Neural network |  Transfer learning

Nidhi Parikh |  Garrison Flynn... -  《63rd Annual Meeting of the Institute of Nuclear Materials Management: Moving Forward in a Changing World, vol. 2: 63rd Annual Meeting of the Institute of Nuclear Materials Management (INMM 2022), 24-28 July 2022, Online》 -  Annual Meeting of the Institute of Nuclear Materials Management - 2022, - 1246～1256 - 共11页

摘要：A challenge of facility monitoring for nuclear non-proliferation is limited opportunities for collection of well curated, labeled data on a facility's operational state. This challenge arises because ...

关键词： Data fusion |  Persistent Monitoring |  intermittent data evaluation

Anand Iyer |  Garrison Flynn... -  《Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV: At SPIE Defense + Commercial Sensing.3-7 April 2022, Orlando, Florida, USA and 6-12 June 2022, Online》 -  Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications (conference) - 2022, - 1211325-1～1211325-9 - 共9页

摘要：A problem of interest for nuclear nonproliferation is monitoring activities at nuclear facilities, where proliferation events may only take place a few times and often under variable conditions. Machi...

关键词： Data modeling |  Distance measurement |  Machine learning |  Feature extraction |  Performance modeling |  Acoustics |  Sensors

Nidhi Parikh |  Madhav V. Marathe... -  《Journal of the Indian Institute of Science》 - 2021,101(3) - 403～417 - 共15页

摘要：We present an approach for generating contextualized behavior recommendations from a large, data-driven, complex agent-based simulation. We extend a previous method for generating a summary descriptio...

关键词： Behavior recommendation |  Disaster preparedness |  Agent-based simulation |  Simulation analytics

Nidhi Parikh |  Garrison Flynn... -  《INMM/ESRADA joint annual meeting 2021, vol. 2: Joint annual meeting of the Institute of Nuclear Materials Management and European Safeguards Research and Development Association, 21-26 August 2021, Online》 -  Joint annual meeting of the Institute of Nuclear Materials Management and European Safeguards Research and Development Association - 2021, - 958～967 - 共10页

摘要：Monitoring nuclear facilities is important for nuclear nonproliferation. However, the activities or events of interest are likely to be sparse and occur under variable conditions. In this work, we foc...

关键词： Classification |  Data fusion |  Persistent Monitoring |  Naieve Bayes |  Hidden Markov model |  Data and model selection

NSTL主题词： model selection |  Sensors

Nidhi Parikh |  Garrison Flynn... -  《61st Annual Meeting of the Institute of Nuclear Materials Management, vol. 2: 61st Annual Meeting of the Institute of Nuclear Materials Management (INMM 2020), 12-16 July 2020, Online》 -  Annual Meeting of the Institute of Nuclear Materials Management - 2020, - 1151～1160 - 共10页

摘要：Detecting the power level of a nuclear reactor and in turn verifying that it is operating at the declared power level is a problem of interest for the nuclear nonproliferation community. We use data c...

关键词： Classification |  Data fusion |  Long-term Monitoring |  Naive Bayes |  Hidden Markov model

NSTL主题词： power level |  Nuclear reactors |  Time series

Garrison Flynn |  Nidhi Parikh... -  《60th Annual Meeting of the Institute of Nuclear Materials Management (INMM 2019), Volume 3 of 3: Palm Desert, California(US).14-18 July 2019》 -  Annual Meeting of the Institute of Nuclear Materials Management - 2019, - 1289～1298 - 共10页

摘要：Detection and quantification of nuclear reactor operations, specifically power level, is of interest for the nonproliferation community for validating the declared operating wattage of a facility. Und...

关键词： Classification |  Data fusion |  Long-term Monitoring |  Naive Bayes |  Random Forest

NSTL主题词： power level |  Nuclear reactors

Maneesha Chitanvis |  Ashlynn R. Daughton... -  《Health security.》 - 2019,17(4) - 255～267 - 共13页

摘要：Infectious disease reemergence is an important yet ambiguous concept that lacks a quantitative definition. Currendy, reemergence is identified without specific criteria describing what constitutes a r...

关键词： Reemergence |  Infectious diseases |  Random forest |  Machine learning |  Health informatics |  Data fusion

Nidhi Parikh |  Madhav V. Marathe... -  《16th International Conference on Autonomous Agents and Multiagent Systems: AAMAS 2017, Sao Paulo, Brazil, 8-12 May 2017, volume 3 of 3》 -  International Conference on Autonomous Agents and Multiagent Systems - 2018, - 1676～1678 - 共3页

摘要：As large-scale, complex multiagent simulations are becoming common, there is a need for new methods to analyze results of these simulations. One of the goals in such cases is to understand the effects...

关键词： Behavior ranking |  Causal states |  Multiagent simulations

NSTL主题词： Behavior |  simulating |  large sizes

Amanda Ziemann |  Geoffrey Fairchild... -  《2018 IEEE International Geoscience and Remote Sensing Symposium: IGARSS 2018, Valencia, Spain, 22-27 July 2018, pages 1-660, [v.1]》 -  IEEE International Geoscience and Remote Sensing Symposium - 2018, - 2076～2078 - 共3页

摘要：Infectious disease burden is continuing to increase around the globe. These diseases have increased, in part, due to globalization, human behavior, and environmental changes. There is an urgent need f...

关键词： Remote sensing |  Diseases |  Vegetation mapping |  Forecasting |  Earth |  Fires |  Artificial satellites

NSTL主题词： Brazil |  Dengue Fever |  images |  Imagery (Psychotherapy) |  remote sensing |  Incidence