Relevant bibliographies by topics / Sampling event

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Sampling event'

Author: Grafiati
Published: 2 June 2025
Last updated: 19 July 2025

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Journal articles on the topic "Sampling event"

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Kvist, Kajsa, Per Kragh Andersen, Jules Angst, and Lars Vedel Kessing. "Event dependent sampling of recurrent events." Lifetime Data Analysis 16, no. 4 (2010): 580–98. http://dx.doi.org/10.1007/s10985-010-9172-y.

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Yevick, David. "Accelerated rare event sampling." International Journal of Modern Physics C 27, no. 04 (2016): 1650041. http://dx.doi.org/10.1142/s0129183116500418.

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Bouchet, Freddy, Joran Rolland, and Jeroen Wouters. "Rare Event Sampling Methods." Chaos: An Interdisciplinary Journal of Nonlinear Science 29, no. 8 (2019): 080402. http://dx.doi.org/10.1063/1.5120509.

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Kim, Joocheol. "Event tree based sampling." Computers & Operations Research 33, no. 5 (2006): 1184–99. http://dx.doi.org/10.1016/j.cor.2004.09.008.

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Wichert, Andreas. "Quantum-Like Sampling." Mathematics 9, no. 17 (2021): 2036. http://dx.doi.org/10.3390/math9172036.

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Probability theory is built around Kolmogorov’s axioms. To each event, a numerical degree of belief between 0 and 1 is assigned, which provides a way of summarizing the uncertainty. Kolmogorov’s probabilities of events are added, the sum of all possible events is one. The numerical degrees of belief can be estimated from a sample by its true fraction. The frequency of an event in a sample is counted and normalized resulting in a linear relation. We introduce quantum-like sampling. The resulting Kolmogorov’s probabilities are in a sigmoid relation. The sigmoid relation offers a better importabi
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Ny, Jerome Le, and Sandra Hirche. "Differentially Private Event-Triggered Sampling." IFAC-PapersOnLine 52, no. 20 (2019): 303–8. http://dx.doi.org/10.1016/j.ifacol.2019.12.172.

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Kafle, Gopi Krishna, HungSoo Joo, and Pius M. Ndegwa. "Sampling Duration and Frequency for Determining Emission Rates from Naturally Ventilated Dairy Barns." Transactions of the ASABE 61, no. 2 (2018): 681–91. http://dx.doi.org/10.13031/trans.12543.

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Abstract. The ideal practice for determining gas emission rates from concentrated animal feeding operations (CAFOs) is continuous measurement throughout the year to capture diurnal and seasonal variations. However, data that meet this criterion are scarce because this approach is costly and technically challenging. A practical approach with reduced sampling time and frequency without compromising integrity is thus necessary. In this study, we examined five reduced sampling protocols for determining emission rates from naturally ventilated dairy barns: (1) six sampling events, during even month
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Rydzewski, J., and W. Nowak. "Rare-event sampling in ligand diffusion." Physics of Life Reviews 22-23 (December 2017): 85–87. http://dx.doi.org/10.1016/j.plrev.2017.08.011.

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Wu, Tzu-Fan, and Mike Shuo-Wei Chen. "A Subranging-Based Nonuniform Sampling ADC With Sampling Event Filtering." IEEE Solid-State Circuits Letters 1, no. 4 (2018): 78–81. http://dx.doi.org/10.1109/lssc.2018.2838527.

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Abbot, Dorian S., Robert J. Webber, Sam Hadden, Darryl Seligman, and Jonathan Weare. "Rare Event Sampling Improves Mercury Instability Statistics." Astrophysical Journal 923, no. 2 (2021): 236. http://dx.doi.org/10.3847/1538-4357/ac2fa8.

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Abstract Due to the chaotic nature of planetary dynamics, there is a non-zero probability that Mercury’s orbit will become unstable in the future. Previous efforts have estimated the probability of this happening between 3 and 5 billion years in the future using a large number of direct numerical simulations with an N-body code, but were not able to obtain accurate estimates before 3 billion years in the future because Mercury instability events are too rare. In this paper we use a new rare-event sampling technique, Quantile Diffusion Monte Carlo (QDMC), to estimate that the probability of a M
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Dissertations / Theses on the topic "Sampling event"

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Gustafsson, Linus. "Event-triggered sampling with packet losses." Thesis, KTH, Reglerteknik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-105717.

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The communication rate between the sensor and the supervisor in computer controlled systems is often limited. If multiple sensors are using the same communication link the limitation can compromise the control of the system, especially when wireless technology is used. To lower the communication rate new sampling methods have been evaluated. Event-triggered sampling has shown to give good results when it comes to sampling for control. This thesis presents a redundancy solution when a first order water tank plant is controlled by the use event-triggered sampling and the communication link betwe
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Miguel, Escrig Oscar. "Event-Based PID Controllers with Fixed Threshold Sampling Strategies." Doctoral thesis, Universitat Jaume I, 2021. http://dx.doi.org/10.6035/14107.2021.428369.

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This thesis studies the robustness and performance of Event-Based Controllers applied to network control. In these systems, event generation techniques are of paramount importance, among them, sampling techniques with fixed thresholds are studied. In this thesis, a new sampling technique is proposed and methodologies are developed to analyze the robustness of the control loop with this and other sampling techniques with fixed thresholds, using different analysis tools. From these analyzes, several tuning rules specifically developed for these sampling techniques are proposed. In addition, the
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Stevens, Kevin Wilson. "Adaptive sequential sampling for extreme event statistics in ship design." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118693.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018.<br>Thesis: S.M. in Naval Architecture and Marine Engineering, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 103-105).<br>For more than a century, many facets of ship design have fallen into the domain of rules-based engineering. Recent technological progress has been validated to the point that many of these areas will soon warrant reconsideration. In this emerging environment
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Walter, Clément. "Using Poisson processes for rare event simulation." Thesis, Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCC304/document.

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Cette thèse est une contribution à la problématique de la simulation d'événements rares. A partir de l'étude des méthodes de Splitting, un nouveau cadre théorique est développé, indépendant de tout algorithme. Ce cadre, basé sur la définition d'un processus ponctuel associé à toute variable aléatoire réelle, permet de définir des estimateurs de probabilités, quantiles et moments sans aucune hypothèse sur la variable aléatoire. Le caractère artificiel du Splitting (sélection de seuils) disparaît et l'estimateur de la probabilité de dépasser un seuil est en fait un estimateur de la fonction de r
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Rochat, Sylvie. "Emotion work in daily interactions at work an event-sampling approach /." [Neuchâtel] : [s.n.], 2004. http://aleph.unisg.ch/hsgscan/hm00122804.pdf.

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Zhang, Benjamin Jiahong. "A coupling approach to rare event simulation via dynamic importance sampling." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112384.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2017.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 106-109).<br>Rare event simulation involves using Monte Carlo methods to estimate probabilities of unlikely events and to understand the dynamics of a system conditioned on a rare event. An established class of algorithms based on large devia
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Petri, Elena. "Hybrid techniques for state estimation : event-triggered sampling and performance improvement." Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0161.

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L'estimation de l'état des systèmes dynamiques est un thème central de l'automatique, où un observateur est conçu pour estimer les états non mesurés en exploitant la connaissance du modèle mathématique du système et les mesures d'entrée et de sortie. Bien que de nombreuses techniques soient disponibles dans la littérature pour concevoir des observateurs pour les systèmes linéaires et non linéaires à temps continu, il reste encore de nombreux problèmes ouverts. Parmi ces défis, on soulignera la question de la conception de l'observateur en présence de contraintes de communication entre le systè
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Rabi, Maben, Karl Henrik Johansson, and Mikael Johansson. "Optimal stopping for event-triggered sensing and actuation." KTH, Reglerteknik, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-80709.

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Novel event-triggered sensing and actuation strategies are presented for networked control systems with limited communication resources. Two architectures are considered: one with the controller co-located with the sensor and one with the control co-located with the actuator. A stochastic control problem with an optimal stopping rule is shown to capture two interesting instances of these architectures. The solution of the problem leads to a parametrization of the control alphabet as piecewise constant commands. The execution of the control commands is triggered by stopping rules for the sensor
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Ohneberg, Kristin [Verfasser], and Martin [Akademischer Betreuer] Schumacher. "Sampling designs for complex time-to-event data in clinical and epidemiological studies." Freiburg : Universität, 2019. http://d-nb.info/1202712738/34.

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Larkin, Joshua D. "Photon event distribution sampling (PEDS) image formation & high precision particle localization in scanning microscopy /." abstract and full text PDF (UNR users only), 2009. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3355587.

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Books on the topic "Sampling event"

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Miguel-Escrig, Oscar. Event-Based PID Controllers with Fixed Threshold Sampling Strategies. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-62505-3.

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Wilford, D. J. Dendroecology: A guide for using trees to date geomorphic and hydrological events. British Columbia, Ministry of Forests, Forest Science Program, 2005.

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Allen, Michael P., and Dominic J. Tildesley. Rare event simulation. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803195.003.0010.

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The development of techniques to simulate infrequent events has been an area of rapid progress in recent years. In this chapter, we shall discuss some of the simulation techniques developed to study the dynamics of rare events. A basic summary of the statistical mechanics of barrier crossing is followed by a discussion of approaches based on the identification of reaction coordinates, and those which seek to avoid prior assumptions about the transition path. The demanding technique of transition path sampling is introduced and forward flux sampling and transition interface sampling are conside
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Miguel-Escrig, Oscar. Event-Based PID Controllers with Fixed Threshold Sampling Strategies. Springer, 2024.

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Trace gases in and over the west Pacific and east Indian Oceans during the El Nino-southern oscillation event of 1987: A report of GMCC data collected on the second Soviet-American Gas and Aerosol Experiment (SAGA II). Air Resources Laboratory, U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1988.

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Franklin, M. I. Sampling Politics. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190855475.001.0001.

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This book is an exploration of the geocultural politics of music sampling. Each chapter delves into one case study—a track, or larger work—from the inside out by starting with the samples that are at the heart of the work. The objective is to unpack how sampled and sampling material work together in light of shifts in the political, economic, and sociocultural contexts of their making, distribution, and reception since. Considering sampling as a material of music, not simply a digital technique or restricted to one sort of music making, addresses an under-explored dimension in studies of the r
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Herron, John R. Direct-sampling optical techniques for the study of transient combustion events. 1989.

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Herron, John R. Direct-sampling optical techniques for the study of transient combustion events. 1989.

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Adhikari, Prakash, and Lisa A. Bryant. Sampling Hard-to-Locate Populations. Edited by Lonna Rae Atkeson and R. Michael Alvarez. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190213299.013.2.

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This chapter discusses the challenges that researchers face when conducting surveys on hard-to-survey populations. It begins with an overview of the various conditions that can make it difficult to include some populations in studies or surveys. This includes the population’s being hard to identify and locate or hard to persuade or interview and even difficulty in defining a sampling frame. The chapter then suggests various sampling approaches that may help researchers overcome challenges when studying hard-to-survey populations. It uses internally displaced persons (IDPs) in Nepal as an examp
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Buchanan, Heather, and Neil Coulson. Sampling in health and clinical psychology research. Oxford University Press, 2015. http://dx.doi.org/10.1093/med:psych/9780198527565.003.0002.

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This chapter focuses on gaining access to samples in psychology research and how this impacts on sampling. It considers the reality of gaining access to a sample, as this is often fraught with practical difficulties that may not be immediately obvious even at the planning stage of research, and offers advice on how to make the process of gaining access to samples as problem-free as possible. It also outlines guidelines for how samples should be taken and different research settings.
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Book chapters on the topic "Sampling event"

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LaCaille, Lara, Anna Maria Patino-Fernandez, Jane Monaco, et al. "Event Sampling." In Encyclopedia of Behavioral Medicine. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_100584.

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Shi, Dawei, Ling Shi, and Tongwen Chen. "Event-Triggered Sampling." In Event-Based State Estimation. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26606-0_2.

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Bucklew, James Antonio. "Importance Sampling." In Introduction to Rare Event Simulation. Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4757-4078-3_4.

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Fishman, George S. "Sampling from Probability Distributions." In Discrete-Event Simulation. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3552-9_8.

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Li, Zhen, Sen Li, Tyrone Fernando, and Xi Chen. "Event Triggered Sampling Strategies." In Event-Trigger Dynamic State Estimation for Practical WAMS Applications in Smart Grid. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45658-0_2.

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Bucklew, James Antonio. "Tools and Techniques for Importance Sampling." In Introduction to Rare Event Simulation. Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4757-4078-3_14.

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Moss, Jonathan. "Experience Sampling Methods in Critical Event Studies: Theory and Practice." In Critical Event Studies. Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-52386-0_13.

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Smith, Forrest, and Vincent M. Weaver. "Advanced Event-Sampling Support for PAPI." In Programming and Performance Visualization Tools. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17872-7_9.

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L'Ecuyer, Pierre, Michel Mandjes, and Bruno Tuffin. "Importance Sampling in Rare Event Simulation." In Rare Event Simulation using Monte Carlo Methods. John Wiley & Sons, Ltd, 2009. http://dx.doi.org/10.1002/9780470745403.ch2.

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Fani Sani, Mohammadreza, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, and Wil M. P. van der Aalst. "Event Log Sampling for Predictive Monitoring." In Lecture Notes in Business Information Processing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98581-3_12.

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AbstractPredictive process monitoring is a subfield of process mining that aims to estimate case or event features for running process instances. Such predictions are of significant interest to the process stakeholders. However, state-of-the-art methods for predictive monitoring require the training of complex machine learning models, which is often inefficient. This paper proposes an instance selection procedure that allows sampling training process instances for prediction models. We show that our sampling method allows for a significant increase of training speed for next activity prediction methods while maintaining reliable levels of prediction accuracy.
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Conference papers on the topic "Sampling event"

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Miguel-Escrig, Oscar, Julio-Ariel Romero-Pérez, José Sánchez-Moreno, and Sebastián Dormido-Bencomo. "Error Dependent Sampling to Reduce Transient Events in Event Based Control." In 2024 IEEE 3rd Industrial Electronics Society Annual On-Line Conference (ONCON). IEEE, 2024. https://doi.org/10.1109/oncon62778.2024.10931737.

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Wang, Xiaozhi, Shengyu Jia, Xu Han, et al. "Neural Gibbs Sampling for Joint Event Argument Extraction." In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing. Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.aacl-main.21.

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Wei, Zibo, and Yuqian Guo. "Event-Triggered Sampling State Estimation for Stochastic Boolean Networks." In 2024 43rd Chinese Control Conference (CCC). IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10661467.

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Miguel-Escrig, Oscar, José Sánchez-Moreno, Julio-Ariel Romero-Pérez, and Sebastián Dormido-Bencomo. "A Hybrid Temporal-Magnitude Based Sampling for Event-Based Control." In 2024 IEEE 3rd Industrial Electronics Society Annual On-Line Conference (ONCON). IEEE, 2024. https://doi.org/10.1109/oncon62778.2024.10931452.

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Zuo, Xuan, Jiayu Yang, and Yu Qi Han. "High-efficiency 3D Gaussian splatting rendering assisted by event signal sampling." In Optoelectronic Imaging and Multimedia Technology XI, edited by Zhenrong Zheng and Jinli Suo. SPIE, 2024. http://dx.doi.org/10.1117/12.3036997.

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Thosani, Tejas, Andres Prado Espinoza, Stephanas Lynch, et al. "Event-Based Sampling Architecture and Optimization for Industrial Internet of Things." In 2025 36th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC). IEEE, 2025. https://doi.org/10.1109/asmc64512.2025.11010320.

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Durak, Mehmet Hakan, and Hirley Alves. "Delta Optimization for Event-Based Sampling in Goal-Oriented Communication Systems." In 2025 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit). IEEE, 2025. https://doi.org/10.1109/eucnc/6gsummit63408.2025.11037129.

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Florescu, Dorian, Felix Krahmer, and Ayush Bhandari. "Event-Driven Modulo Sampling." In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021. http://dx.doi.org/10.1109/icassp39728.2021.9414152.

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Kabierski, Martin, Hoang Lam Nguyen, Lars Grunske, and Matthias Weidlich. "Sampling What Matters: Relevance-guided Sampling of Event Logs." In 2021 3rd International Conference on Process Mining (ICPM). IEEE, 2021. http://dx.doi.org/10.1109/icpm53251.2021.9576875.

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Grybos, Anna. "Event-driven sampling of signal with quadratic prediction." In 2015 International Conference on Sampling Theory and Applications (SampTA). IEEE, 2015. http://dx.doi.org/10.1109/sampta.2015.7148897.

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Reports on the topic "Sampling event"

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Holland, Robert C. Storm Water Sampling results for 1-16-19 Sampling Event. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1496064.

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Hamilton, T. F. Environmental sampling plan for Kwajalein Atoll Lagoon: 2017 Kwajalein sampling event. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1389967.

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Kimmell, Todd A., Louis Martino, Robert Johnson, Paul L. Hewett, Ken Lerner, and Robert Sharp. Pre-Event Recovery Sampling and Analysis Framework for Blue Grass CSEPP Community. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1483819.

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Cooke, Gary A., and John A. Pestovich. C-104 Solid Phase Characterization of Sample 4C-13-1 From Tank 241-C-104 Closure Sampling Event. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1083295.

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Kushner, Harold, and Paul Dupuis. Stochastic Control and Numerical Methods with Applications to Communications. Game Theoretic/Subsolution to Importance Sampling for Rare Event Simulation. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada499989.

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Ross, Peter, Samantha Scott, and Marie Noel. Tod Creek watershed: Water quality report for the 2023/24 wet season. Raincoast Conservation Foundation, 2024. https://doi.org/10.70766/76.9001.

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Water is essential for life, and steps are needed to understand, protect and restore its health in fish habitat throughout British Columbia. The Raincoast Healthy Waters program was launched in 2023 to establish community-oriented water pollution monitoring in select BC watersheds. Two Healthy Waters sampling events take place every year in each watershed: the dry season (summer), and the wet season (winter). This report highlights results from one sampling event: the first wet (winter) season sampling, carried out with the support and participation of the Capital Regional District (CRD) and T
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Smith, Sean, Lauren Youngblood, Micah Wright, and Phillip van Mantgem. Vegetation community monitoring: Forest structure in Klamath Network parks. National Park Service, 2025. https://doi.org/10.36967/2311589.

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The Klamath Network, comprising six national park units in northern California and southern Oregon, initiated a vegetation monitoring protocol in 2011 to discern ecologically significant vegetation trends in these parks. The premise of the protocol is that multivariate analyses of species composition data is the most robust means for early detection of vegetation change over time. Here, we present these community metrics based on our sampling efforts from 2011 to 2019. Observations from the first sampling event (2011–2013) were used to establish baseline conditions for the vegetation communiti
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Streßer, Michael, Clarence Collins, Björn Lund, et al. Coherent marine X-band radar deployment during DUNEX. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49218.

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A marine X-band radar system, developed by Helmholtz-Zentrum Hereon (Hereon) was deployed within view of the nearshore at the US Army Engineer Research and Development Center, Field Research Facility (FRF), in Duck, North Carolina, from October 2021 to August 2022. The radar deployment was a collaboration among researchers at the FRF, Hereon, and the University of Miami and was initiated as part of the During Nearshore Event Experiment (DUNEX), a large multi-institutional field experiment funded by the US Coastal Research Program. The Hereon radar successfully collected data during the main DU
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Leis, Sherry. Plant community trends at Tallgrass Prairie National Preserve: 2002–2023. National Park Service, 2025. https://doi.org/10.36967/2309785.

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The Heartland Inventory and Monitoring Network has monitored vegetation at Tallgrass Prairie National Preserve for more than 20 years. Monitoring assists the preserve in managing the nearly 10,000-acre (4,047 ha) site by providing status and trends of vegetation and disturbance metrics. The site protects critical remnant tallgrass prairie as well as the ranching legacy of the Flint Hills region. Monitoring was conducted in 30 permanent sites across the western preserve. We assessed current and future climate trends, fire and grazing rates, and vegetation metrics, including ground cover, guild,
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Sarupria, Sapna, Steven Hall, and Ryan DeFever. Sampling Rare Events In Aqueous Systems Using Molecular Simulations. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2376138.

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