Relevant bibliographies by topics / Reliability of event recognition

Contents

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

Academic literature on the topic 'Reliability of event recognition'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Reliability of event recognition"

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Suárez-Revelo, Jazmín X., and John F. Ochoa-Gómez. "Event Related Potentials in visual recognition processing: test-retest reliability assessment." International Journal of Psychophysiology 108 (October 2016): 106. http://dx.doi.org/10.1016/j.ijpsycho.2016.07.322.

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Poroshenko, Anton, and Andriy Kovalenko. "AUDIO EVENT ANALYSIS METHOD IN NETWORK-BASED AUDIO ANALYTICS SYSTEMS." Advanced Information Systems 8, no. 4 (2024): 60–64. http://dx.doi.org/10.20998/2522-9052.2024.4.08.

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Relevance. In the rapidly evolving field of network-based audio analytics systems, the detection and analysis of audio events play a crucial role across various applications, including security, healthcare, and entertainment. Subject. This paper examines a method for recognizing audio events in network-based audio analytics systems, including preprocessing, sound separation, and the creation of machine learning models for analyzing audio signals. Objective. The objective is to develop and improve integrated methods for analyzing audio signals in network-based audio analytics systems to enhance
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Neelima Aderu. "AI-Powered Event-Driven Middleware: Revolutionizing Enterprise Integration." Journal of Computer Science and Technology Studies 7, no. 5 (2025): 283–89. https://doi.org/10.32996/jcsts.2025.7.5.35.

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AI-powered event-driven middleware represents a transformative advancement in enterprise integration architecture, addressing the challenges of real-time data processing and system integration across distributed cloud platforms. This evolution introduces intelligent capabilities for pattern recognition, anomaly detection, and automated scaling, enabling organizations to move beyond traditional batch processing limitations. The integration of artificial intelligence enhances system performance through predictive scaling, intelligent event routing, and sophisticated event correlation mechanisms.
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Hirano, Kanan, Yo Fukushima, Hiroaki Maruya, Motoyuki Kido, and Motoaki Sugiura. "The Anticipated Nankai Trough Earthquake and Tsunami in Japan: Determinant Factors of Residents’ Pre-Event Evacuation Intentions." Journal of Disaster Research 18, no. 3 (2023): 233–45. http://dx.doi.org/10.20965/jdr.2023.p0233.

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As a countermeasure against M8–9 class Nankai Trough earthquakes, the Japan Meteorological Agency started a service to release “Nankai Trough Earthquake Extra Information (Megathrust Earthquake Alert).” This alert is released after an M8.0 or higher earthquake occurs and the possibility of a subsequent earthquake is evaluated to be higher than usual. This is an innovative attempt at disaster mitigation in Japan as it encourages residents in the predefined area to pre-evacuate for one week when tsunami risk is higher. However, the factors influencing the evacuation behavior of residents are unk
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Greco, Antonio, Nicolai Petkov, Alessia Saggese, and Mario Vento. "AReN: A Deep Learning Approach for Sound Event Recognition Using a Brain Inspired Representation." IEEE Transactions on Information Forensics and Security 15 (2020): 3610–24. http://dx.doi.org/10.1109/tifs.2020.2994740.

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Gu, Hongcan, Junbing Huang, Su Wu, et al. "Intrusion Monitoring Based on High Dimensional Random Matrix by Using Ultra-Weak Fiber Bragg Grating Array." Photonics 10, no. 7 (2023): 733. http://dx.doi.org/10.3390/photonics10070733.

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In order to ensure that a perimeter security system can work effectively, a convenient and effective event detection algorithm has an important engineering significance. Given the above background, in this paper, we propose a high reliability intrusion event recognition method and vibration sensing system, based on ultra-weak fiber Bragg grating array, by using high dimensional random matrix. We obtain a high sensitivity optical interference signal by constructing a patch-matched optical interference system, then compose the demodulated interference signal into a high-dimensional random matrix
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Levin, V. M., P. A. Petushkov, and M. A. Shvets. "Remote monitoring and control of the status of transformers in distribution electrical networks." Power engineering: research, equipment, technology 25, no. 2 (2023): 97–109. http://dx.doi.org/10.30724/1998-9903-2023-25-2-97-109.

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RELEVANCE. One of the most important expected effects of digitalization of objects of the power grid complex of the Russian Federation is to increase the level of reliability of its functioning. In this regard, research and development in this direction is undoubtedly relevant. THE PURPOSE. To propose a mathematical model for monitoring dangerous developing defects in power oil-filled transformers, this would meet the properties of predictability and adaptability. Based on the model, to develop a decision-making algorithm for long-term reliable operation oftransformers. METHODS: Methods of sta
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Wang, Mohan, and Pin-Chao Liao. "Personality Assessment Based on Electroencephalography Signals during Hazard Recognition." Sustainability 15, no. 11 (2023): 8906. http://dx.doi.org/10.3390/su15118906.

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Hazard recognition assisted by human–machine collaboration (HMC) techniques can facilitate high productivity. Human–machine collaboration techniques promote safer working processes by reducing the interaction between humans and machines. Nevertheless, current HMC techniques acquire human characteristics through manual inputs to provide customized information, thereby increasing the need for an interactive interface. Herein, we propose an implicit electroencephalography (EEG)-based measurement system to automatically assess worker personalities, underpinning the development of human–machine col
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Yusoff, Nurshafitrah, and Aizreena Azaman. "Equine Gait Recognition using Wearable Technology for Endurance Monitoring: A Preliminary Study." Journal of Human Centered Technology 2, no. 1 (2023): 61–67. http://dx.doi.org/10.11113/humentech.v2n1.44.

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To overcome limitation in equine gait monitoring, a low-cost monitoring device is needed especially for long-distance event performance monitoring. Current devices capture horse gait in limited range of distance, limited duration usage and expensive. Mobile application such as Androsensor has shown a great potential in horse gait recognition. However, further study is still warranted in order to determine the reliability of this kind of mobile application for performance monitoring especially for long-distance event such as endurance. In this study, a validation test of Androsensor mobile appl
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Zhu, Shiqiang, Shizhao Zhou, Zheng Chen, Wei Song, and Lai Jin. "Gait-stride-and-frequency-based human intention recognition approach and experimental verification on lower limb exoskeleton." Transactions of the Institute of Measurement and Control 44, no. 5 (2021): 1149–60. http://dx.doi.org/10.1177/01423312211044031.

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In the research of lower extremity exoskeleton, how to achieve synchronization between human and machine is quite significant. The intention recognition, which can be divided into three categories including EMG-based, EEG-based and biomechanics-based, is one of the effective implementation methods. In this paper, a new biomechanics-based method to realize the intention recognition is proposed. Compared with the mainstream, this method identifies the characteristic value of stride and frequency during walking, which describes human intention mathematically and concretizes the intention of human
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Dissertations / Theses on the topic "Reliability of event recognition"

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Wittchen, Hans-Ulrich, Cecilia Ahmoi Essau, Heidemarie Hecht, Wolfgang Teder, and Hildegard Pfister. "Reliability of life event assessments." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-103810.

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This paper presents the findings of two independent studies which examined the test-retest reliability and the fall-off effects of the Munich Life Event List (MEL). The MEL is a three-step interview procedure for assessing life incidents which focusses on recognition processes rather than free recall. In a reliability study, test–retest coefficients of the MEL, based on a sample of 42 subjects, were quite stable over a 6-week interval. Stability for severe incidents appeared to be higher than for the less severe ones. In the fall-off study, a total rate of 30% fall-off was noted for all incide
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Bujuru, Swathi. "Event recognition in epizootic domains." Kansas State University, 2010. http://hdl.handle.net/2097/7070.

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Master of Science<br>Department of Computing and Information Sciences<br>William H. Hsu<br>In addition to named entities such as persons, locations, organizations, and quantities which convey factual information, there are other entities and attributes that relate identifiable objects in the text and can provide valuable additional information. In the field of epizootics, these include specific properties of diseases such as their name, location, species affected, and current confirmation status. These are important for compiling the spatial and temporal statistics and other information needed
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Gkalelis, Nikolaos. "Event modelling and recognition in video." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/23932.

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The management of digital video has become a very challenging problem as the amount of video content continues to witness phenomenal growth. This trend necessitates the development of advanced techniques for the efficient and effective manipulation of video information. However, the performance of current video processing tools has not yet reached the required satisfaction levels mainly due to the gap between the computer generated semantic descriptions of video content and the interpretations of the same content by humans, a discrepancy commonly referred to as the semantic gap. Inspired from
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Crowe, J. D. M. "Constraint based event recognition for information extraction." Thesis, University of Edinburgh, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648968.

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A common feature of news reports is the reference to events other than the one which is central to the discourse. Previous research has suggested Gricean explanations for this; more generally, the phenomenon has been referred to simply as "journalistic style". Whatever the underlying reasons, recent investigations into information extraction have emphasised the need for a better understanding of the mechanisms that can be used to recognise and distinguish between multiple events in discourse. Existing information extraction systems approach the problem of event recognition in a number of ways.
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Cohen, Gregory Kevin. "Event-Based Feature Detection, Recognition and Classification." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066204/document.

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La detection, le suivi de cible et la reconnaissance de primitives visuelles constituent des problèmes fondamentaux de la vision robotique. Ces problématiques sont réputés difficiles et sources de défis. Malgré les progrès en puissance de calcul des machines, le gain en résolution et en fréquence des capteurs, l’état-de-l’art de la vision robotique peine à atteindre des performances en coût d’énergie et en robustesse qu’offre la vision biologique. L’apparition des nouveaux capteurs, appelés "rétines de silicium” tel que le DVS (Dynamic Vision Sensor) et l’ATIS (Asynchronous Time-based Imaging
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Karagol, Yusuf. "Event Ordering In Turkish Texts." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612623/index.pdf.

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In this thesis, we present an event orderer application that works on Turkish texts. Events are words denoting an occurrence or happenings in natural language texts. By using the features of the events in a sentence or by the helps of temporal expressions in the sentence, anchoring an event on a timeline or ordering events between other events are called event ordering. The application presented in this thesis, is one of the earliest study in this domain with Turkish and it realizes all needed sub modules for event ordering. It realizes event recognition in Turkish texts and event feature dete
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Lawson, Monica L. "The Reliability of Children’s Event Reports to Their Mothers." University of Toledo / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=toledo148093558237461.

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Tserng, Christopher H. (Christopher Hong-Wen) 1975. "Event recognition in scenes involving people and cars." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/47629.

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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.<br>Includes bibliographical references (leaf 50).<br>by Christopher H. Tserng.<br>S.B.and M.Eng.
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Meissner, Stefan. "Activity recognition in event driven IoT-service architectures." Thesis, University of Surrey, 2016. http://epubs.surrey.ac.uk/810253/.

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With the advent of the Internet-of-Things way more sensor-generated data streams came available that researchers want to exploit context from. Many researchers worked on context recognition for rather unimodal data in pervasive systems, but recent works about object virtualisation in the Internet-of-Things domain enable context-exploitation based on processing multi-modal information collected from pervasive systems. Additionally to the sensed data there is formalised knowledge about the real world objects emitted by IoT services as contributed by the author in [1], [2] and [3]. In this work a
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IACONO, MASSIMILIANO. "Object detection and recognition with event driven cameras." Doctoral thesis, Università degli studi di Genova, 2020. http://hdl.handle.net/11567/1005981.

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This thesis presents study, analysis and implementation of algorithms to perform object detection and recognition using an event-based cam era. This sensor represents a novel paradigm which opens a wide range of possibilities for future developments of computer vision. In partic ular it allows to produce a fast, compressed, illumination invariant output, which can be exploited for robotic tasks, where fast dynamics and significant illumination changes are frequent. The experiments are carried out on the neuromorphic version of the iCub humanoid platform. The robot is equipped with a nov
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Books on the topic "Reliability of event recognition"

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P, Deines-Jones, and United States. National Aeronautics and Space Administration., eds. Automated track recognition and event reconstruction in nuclear emulsion. National Aeronautics and Space Administration, 1998.

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Armilio, Maria Luisa. Event-related potentials during learning and recognition of complex pictures. National Library of Canada, 1997.

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Carson-Berndsen, Julie. Time Map Phonology: Finite State Models and Event Logics in Speech Recognition. Springer Netherlands, 1998.

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Walshe, Kieran. The reliability and validity of adverse-event measures of the quality of healthcare. University of Birmingham, 1998.

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Wierman, T. E. Common-cause failure database and analysis system: Event data collection, classification, and coding. U.S. Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, 2007.

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Gwan, Choi, and United States. National Aeronautics and Space Administration., eds. The single event effect characteristics of the 486-DX4 microprocessor: Test report. National Aeronautics and Space Administration, 1996.

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Yuriy, Greg M. Discrete-event simulation of mine equipment systems combined with a reliability assessment model /by Greg M. Yuriy. Laurentian University, School of Graduate Studies, 2005.

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Schneider, Jörg, and Ton Vrouwenvelder. Introduction to safety and reliability of structures. 3rd ed. International Association for Bridge and Structural Engineering (IABSE), 1997. http://dx.doi.org/10.2749/sed005.

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&lt;p&gt;Society expects that buildings and other structures are safe for the people who use them or who are near them. The failure of a building or structure is expected to be an extremely rare event. Thus, society implicitly relies on the expertise of the professionals involved in the planning, design, construction, operation and maintenance of the structures it uses.&lt;p&gt;Structural engineers devote all their effort to meeting society’s expectations effi ciently. Engineers and scientists work together to develop solutions to structural problems. Given that nothing is absolutely and etern
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International Conference on Defect Recognition and Image Processing in Semiconductors (7th 1997 Templin, Germany). Defect recognition and image processing in semiconductors 1997: Proceedings of the 7th International Conference on Defect Recognition and Image Processing in Semiconductors (DRIP VII) held in Templin, Germany, 7-10 September 1997. Institute of Physics Pub., 1998.

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service), SpringerLink (Online, ed. Machine Vision Handbook. Springer London, 2012.

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Book chapters on the topic "Reliability of event recognition"

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Čepin, Marko. "Event Tree Analysis." In Assessment of Power System Reliability. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-688-7_6.

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Pitsikalis, Manolis, and Alexander Artikis. "Composite Maritime Event Recognition." In Guide to Maritime Informatics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61852-0_8.

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Frühwirth, Rudolf, and Are Strandlie. "Event Reconstruction." In Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65771-0_2.

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AbstractThe chapter gives an outline of the event reconstruction chain of a typical large experiment, from the trigger to the physics object reconstruction. The concept of the trigger is illustrated by two examples, CMS and LHCb, followed by a discussion of track reconstruction and its stages: hit generation, local reconstruction, and global reconstruction. The section on vertex reconstruction introduces a classification of vertices and sets the scene for the dedicated chapters on vertex finding and vertex fitting. The chapter concludes with some remarks on particle identification and reconstr
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Romdhane, Rim, Bernard Boulay, Francois Bremond, and Monique Thonnat. "Probabilistic Recognition of Complex Event." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23968-7_13.

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Morariu, Vlad I. "Linguistic Techniques for Event Recognition." In Computer Vision. Springer US, 2014. http://dx.doi.org/10.1007/978-0-387-31439-6_351.

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Morariu, Vlad I. "Linguistic Techniques for Event Recognition." In Computer Vision. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63416-2_351.

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Oliveira Rocha, Hugo Filipe. "Achieving Resilience and Event Processing Reliability in Event-Driven Microservices." In Practical Event-Driven Microservices Architecture. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7468-2_7.

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Wonsever, Dina, Aiala Rosá, Marisa Malcuori, Guillermo Moncecchi, and Alan Descoins. "Event Annotation Schemes and Event Recognition in Spanish Texts." In Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28601-8_18.

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Paik, Jeom Kee. "Probabilistic Selection of Event Scenarios." In Topics in Safety, Risk, Reliability and Quality. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8245-1_2.

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Weiß, Christian H. "On Approaches for Monitoring Categorical Event Series." In Springer Series in Reliability Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83819-5_5.

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Conference papers on the topic "Reliability of event recognition"

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Li, Hao, Yingjun Deng, Shucheng Gao, Xiaopeng Li, Nan Zhang, and Cong Liang. "Accelerating Event-Driven Simulation for Dynamic Risk Analysis: A Dynamic Event Tree Method." In 2023 14th International Conference on Reliability, Maintainability and Safety (ICRMS). IEEE, 2023. http://dx.doi.org/10.1109/icrms59672.2023.00177.

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Sun, Jingkai, Qiang Zhang, Jiaxu Wang, Jiahang Cao, Hao Cheng, and Renjing Xu. "Event Masked Autoencoder: Point-wise Action Recognition with Event-Based Cameras." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10888760.

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Sundar, Varun, Matthew Dutson, Andrei Ardelean, Claudio Bruschini, Edoardo Charbon, and Mohit Gupta. "Generalized Event Cameras." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.02362.

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Huang, Zhilin, Quanmin Liang, Yijie Yu, et al. "Bilateral Event Mining and Complementary for Event Stream Super-Resolution." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.00012.

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Zhang, Jian, Sheng Wu, Wenwei Liu, Hui Feng, and Bo Hu. "Image Reconstruction Leveraging Time-Event Feature Fusion for Event Cameras." In 2024 7th International Conference on Pattern Recognition and Artificial Intelligence (PRAI). IEEE, 2024. https://doi.org/10.1109/prai62207.2024.10826912.

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Chen, Shan-chih, and Yung-ching Liu. "Impact of Road Event Recognition Reliability in Autonomous Vehicles on Driver Trust and Takeover Performance." In Human Interaction and Emerging Technologies (IHIET 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006732.

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The reliability of an autonomous vehicle's (AV) event recognition is vital for building driver trust. Drivers' responses to AV event alerts directly influence driving safety. Therefore, understanding how AV recognition reliability affects driver trust and subsequent takeover behavior is crucial for designing safer and more effective autonomous driving systems.This study used a driving simulator to examine the effects of AV’s event recognition reliability on driver trust and takeover performance. Sixty volunteers without prior autonomous vehicle experience were divided into two groups: one perf
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Luo, Ruiqi, Bangchao Wang, and Xian Zhong. "MDD4CER: Efficient Complex Event Recognition with Multiple-value Decision Diagram." In 2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C). IEEE, 2021. http://dx.doi.org/10.1109/qrs-c55045.2021.00176.

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Mohamat Nor, Noor Azman, and Andrew Findlay. "Unit Health Assessment- Oil & Gas Equipment Probabilistic Case Study." In ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/gt2021-59318.

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Abstract The focus of this case study is the analysis of offshore Oil &amp; Gas facilities recorded downtime data which are classified into gas turbine downtime categories and causes. Each event is then correlated with the maintenance repair records to determine the respective root cause. The key objective of this study is to establish the Critical Success Factors (CSF) for unit health after a gas turbine has been in operation for more than 10 years. The outcome is used to enhance the unit performance, efficiency, maintainability, and operability. As a first step, Content Analysis technique wa
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Di Blasi, Martin, and Zhan Li. "Pipeline Rupture Detection Based on Machine Learning and Pattern Recognition." In 2016 11th International Pipeline Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/ipc2016-64471.

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Pipeline ruptures have the potential to cause significant economic and environmental impact in a short period of time, therefore it is critical for pipeline operators to be able to promptly detect and respond to them. Public stakeholder expectations are high and an evolving expectation is that the response to such events be automated by initiating an automatic pipeline shutdown upon receipt of rupture alarm. These types of performance expectations are challenging to achieve with conventional, model-based, leak-detection systems (i.e. CPM–RTTMs) as the reliability measured in terms of the false
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Thieme, Christoph Alexander, Ingrid Bouwer Utne, and Ingrid Schjølberg. "A Risk Management Framework for Unmanned Underwater Vehicles Focusing on Human and Organizational Factors." In ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-41627.

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This paper presents a risk management framework (RMF) for unmanned underwater vehicles (UUV). UUV are tethered or untethered vehicles operating in hazardous surroundings. The RMF, as one of the first for UUV, emphasizes the need for considering human and organizational factors impact on risk. A case study on risk assessment has been carried out, covering the risk of loss and mission abort of an autonomous underwater vehicle. It is based on a case study of the Applied Underwater Robotics Laboratory of NTNU, which operates several UUV. The assessment applies human reliability analysis, fault tre
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Reports on the topic "Reliability of event recognition"

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Liddy, Elizabeth D., and Eileen E. Allen. Generic Event Recognition and Extraction (GERE). Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada407305.

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John H. Cohen and Greg Deskins. Drilling Optimization Utilizing Surface Instrumentaton for Downhole Event Recognition. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/882932.

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Trejo, Leonard J., Mark Inlow, Robert R. Stanny, William A. Morey, and Scott Makeig. The P3OO Component of the Auditory Event-related Potential: Interlaboratory Consistency and Test-retest Reliability. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada374904.

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Trejo, Leonard J., Mark Inlow, Robert R. Stanny, William A. Morey, and Scott Makeig. The P300 Component of the Auditory Event-Related Potential: Interlaboratory Consistency and Test-Retest Reliability. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada235114.

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Stumpo, Sergio. The Sustainability of Urban Heritage Preservation: The Case of Siracusa, Italia. Inter-American Development Bank, 2010. http://dx.doi.org/10.18235/0006914.

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This paper analyzes the city of Siracusa, Italy, and in particular the Historic Center of Ortigia. Siracusa and the rocky Necropolis of Pantalica (in the Cassaro, Ferla, and Sortino areas) were inscribed on UNESCO's World Heritage List in 2005, an event that may be considered the official recognition of the beauty and uniqueness of their historical, artistic, architectonic, and natural patrimony.
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McKay, M. K., N. L. Skinner, and S. T. Wood. Systems analysis programs for hands-on integrated reliability evaluations (SAPHIRE) Version 5.0. Fault tree, event tree, and piping & instrumentation diagram (FEP) editors reference manual: Volume 7. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10173658.

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Fricke, Julie, Meghan Galligan, Caryn Douma, Jeremy Souder, and Nikhil Mull. Examining the Impact of Implementing High-Reliability Organization Principles on Patient Safety Outcomes. AHRQ, 2025. https://doi.org/10.23970/ahrqepc_mhs4hro.

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Objectives. High-reliability organizations (HROs) operate in complex, high-hazard domains for extended periods without serious accidents or catastrophic failures. Interventions are designed to change thinking about patient safety and system performance through distinct HRO principles. The purpose of this review was to determine the effectiveness of implementing HRO principles on patient safety outcomes. Methods. We followed rapid review processes of the Agency for Healthcare Research and Quality Evidence-based Practice Center Program. We searched PubMed and the Cochrane Library from January 20
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Wang, Ziqi, and Jungho Kim. The 21st Working Conference of the IFIP Working Group 7.5 on Reliability and Optimization of Structural Systems (IFIP WG7.5 2024). Pacific Earthquake Engineering Research Center, 2024. https://doi.org/10.55461/vvll8567.

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These are the proceedings of the twenty-first working conference of the International Federation of Information Processing (IFIP) Working Group 7.5 on Reliability and Optimization of Structural Systems, which took place at the University of California, Berkeley, USA, on August 19–21, 2024. This volume contains 15 selected papers from the 20 presentations delivered at the conference. The conference was supported by Pacific Earthquake Engineering Research (PEER) Center, and by the University of California, Berkeley, which provided outstanding facilities in the conference venue and remarkable log
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Di Cosmo, Roberto, François Pellegrini, Mathieu Giraud, et al. “Software and source codes” College: Minutes from the work session, November 30th 2023. Ministère de l’enseignement supérieur et de la recherche, 2024. https://doi.org/10.52949/58.

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Academia has increasingly recognized software as an essential tool, product, and subject of study. In this regard, the "Software, Pillar of Open Science" (SPOS) workshop, held on November 29th, 2023, was a significant event organized by the French Committee for Open Science. This workshop brought together a large array of diverse high-level stakeholders, including public and private funders and infrastructure representatives, along with researchers and software engineers. The event was structured to facilitate a deeper understanding of the complex interplay between software and open science. T
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Friedman, Yuval, and Israel (Issi) Doron. Ageism and disaster situations - The case of Covid-19: A scoping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.5.0148.

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Review question / Objective: What is, and how is it expressed, the interaction between the phenomenon of ageism and society's attitude and coping with a disaster situation, such as the Cuvid-19 pandemic in the professional literature? Condition being studied: The covid-19 pandemic is a type of disaster situation, as the impact of pandemics is similar to the impact of other disasters in several respects: a wide range of impact affecting society as a whole, and an increase in uncertainty and long range of impacts. At the same time, pandemics stand out as being a pervasive, unavoidable and invisi
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