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Relevant bibliographies by topics / Radiation early warning network

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Academic literature on the topic 'Radiation early warning network'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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Journal articles on the topic "Radiation early warning network"

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Tran Duc Tan. "DEVELOPMENT OF A SMART OCEAN RADIATION MONITORING SYSTEM." Journal of Military Science and Technology, no. 75A (November 11, 2021): 38–45. http://dx.doi.org/10.54939/1859-1043.j.mst.75a.2021.38-45.

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Ocean radiation monitoring systems (ORMSs) are an essential component in the radiation early warning network that monitors radiation exposure and estimates radioactive propagation induced by nuclear activities or nuclear accidents in the sea. Numerous systems have been developed and installed in the radiation warning network in different countries. However, there is not any similar product that has been studied and developed in Vietnam. This paper presents a complete process in designing and manufacturing a marine buoy integrated with a radiation sensor. The radiation detector can measure both

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Glavič-Cindro, Denis, Drago Brodnik, Toni Petrovič, et al. "Compact radioactive aerosol monitoring device for early warning networks." Applied Radiation and Isotopes 126 (August 2017): 219–24. http://dx.doi.org/10.1016/j.apradiso.2016.12.036.

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Stöhlker, U., M. Bleher, H. Doll, et al. "THE GERMAN DOSE RATE MONITORING NETWORK AND IMPLEMENTED DATA HARMONIZATION TECHNIQUES." Radiation Protection Dosimetry 183, no. 4 (2018): 405–17. http://dx.doi.org/10.1093/rpd/ncy154.

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Abstract Environmental radiation monitoring networks have been established in Europe and world-wide for the purpose of protecting population and environment against ionizing radiation. Some of these networks had been established during the cold war period and were improved after the Chernobyl accident in 1986. Today, the German Federal Office for Radiation Protection (BfS) operates an early warning network with roughly 1800 ambient dose equivalent rate (ADER) stations equally distributed over the German territory. The hardware and software of all network components are developed in-house allow

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Mahomed, Maqsooda, Alistair D. Clulow, Sheldon Strydom, Tafadzwanashe Mabhaudhi, and Michael J. Savage. "Assessment of a Ground-Based Lightning Detection and Near-Real-Time Warning System in the Rural Community of Swayimane, KwaZulu-Natal, South Africa." Weather, Climate, and Society 13, no. 3 (2021): 605–21. http://dx.doi.org/10.1175/wcas-d-20-0116.1.

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AbstractClimate change projections of increases in lightning activity are an added concern for lightning-prone countries such as South Africa. South Africa’s high levels of poverty, lack of education, and awareness, as well as a poorly developed infrastructure, increase the vulnerability of rural communities to the threat of lightning. Despite the existence of national lightning networks, lightning alerts and warnings are not disseminated well to such rural communities. We therefore developed a community-based early warning system (EWS) to detect and disseminate lightning threats and alerts in

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Singh, Mukesh Kumar, Shasvath J. Kapadia, Md Arif Shaikh, Deep Chatterjee, and Parameswaran Ajith. "Improved early warning of compact binary mergers using higher modes of gravitational radiation: a population study." Monthly Notices of the Royal Astronomical Society 502, no. 2 (2021): 1612–22. http://dx.doi.org/10.1093/mnras/stab125.

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ABSTRACT A gravitational wave early warning of a compact binary coalescence event, with a sufficiently tight localization skymap, would allow telescopes to point in the direction of the potential electromagnetic counterpart before its onset. Use of higher modes of gravitational radiation, in addition to the dominant mode typically used in templated real-time searches, was recently shown to produce significant improvements in early-warning times and skyarea localizations for a range of asymmetric mass binaries. We perform a large-scale study to assess the benefits of this method for a populatio

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Faleschini, J., H. Mayer, M. Bielz, W. Hackl, and T. Schulz. "Early warning against airborne radioactivity in Bavaria: Measuring network for radioactive immissions." Kerntechnik 74, no. 4 (2009): 205–11. http://dx.doi.org/10.3139/124.110032.

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Nguyen, Liem D., Hong T. Nguyen, Phuong D. N. Dang, Trung Q. Duong, and Loi K. Nguyen. "Design of an automatic hydro-meteorological observation network for a real-time flood warning system: a case study of Vu Gia-Thu Bon river basin, Vietnam." Journal of Hydroinformatics 23, no. 2 (2021): 324–39. http://dx.doi.org/10.2166/hydro.2021.124.

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Abstract This paper presents an interdisciplinary approach, along with Vietnam's legal frameworks, to design an automatic hydro-meteorological (HM) observation network for a real-time flood warning system in Vu Gia-Thu Bon (VGTB) river basin, Vietnam. The automatic HM monitoring network consists of weather-proof enclosures containing data loggers, rechargeable batteries, sensors for air temperature, air humidity, solar radiation, wind speed, water level with attached solar panels and mounted upon masts located at fixed ground stations. A total of 20 meteorological stations and five hydrologica

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Zhao, Enyu, Nianxin Qu, Yulei Wang, and Caixia Gao. "Spectral Reconstruction from Thermal Infrared Multispectral Image Using Convolutional Neural Network and Transformer Joint Network." Remote Sensing 16, no. 7 (2024): 1284. http://dx.doi.org/10.3390/rs16071284.

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Thermal infrared remotely sensed data, by capturing the thermal radiation characteristics emitted by the Earth’s surface, plays a pivotal role in various domains, such as environmental monitoring, resource exploration, agricultural assessment, and disaster early warning. However, the acquisition of thermal infrared hyperspectral remotely sensed imagery necessitates more complex and higher-precision sensors, which in turn leads to higher research and operational costs. In this study, a novel Convolutional Neural Network (CNN)–Transformer combined block, termed CTBNet, is proposed to address the

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Shukla, Shraddhanand, Daniel McEvoy, Mike Hobbins, et al. "Examining the Value of Global Seasonal Reference Evapotranspiration Forecasts to Support FEWS NET’s Food Insecurity Outlooks." Journal of Applied Meteorology and Climatology 56, no. 11 (2017): 2941–49. http://dx.doi.org/10.1175/jamc-d-17-0104.1.

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AbstractThe Famine Early Warning Systems Network (FEWS NET) team provides food insecurity outlooks for several developing countries in Africa, central Asia, and Central America. This study describes development of a new global reference evapotranspiration (ET0) seasonal reforecast and skill evaluation with a particular emphasis on the potential use of this dataset by FEWS NET to support food insecurity early warning. The ET0 reforecasts span the 1982–2009 period and are calculated following the American Society for Civil Engineers formulation of the Penman–Monteith method driven by seasonal cl

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Toader, Victorin-Emilian, Constantin Ionescu, Iren-Adelina Moldovan, Alexandru Marmureanu, Iosif Lıngvay, and Andrei Mihai. "Evolution of the Seismic Forecast System Implemented for the Vrancea Area (Romania)." Applied Sciences 15, no. 13 (2025): 7396. https://doi.org/10.3390/app15137396.

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The National Institute of Earth Physics (NIEP) in Romania has upgraded its seismic monitoring stations into multifunctional platforms equipped with advanced devices for measuring gas emissions, magnetic fields, telluric fields, solar radiation, and more. This enhancement enabled the integration of a seismic forecasting system designed to extend the alert time of the existing warning system, which previously relied solely on seismic data. The implementation of an Operational Earthquake Forecast (OEF) aims to expand NIEP’s existing Rapid Earthquake Early Warning System (REWS) which currently pro

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Dissertations / Theses on the topic "Radiation early warning network"

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Rust, Sunchlar M. "Collaborative network evolution the Los Angeles terrorism early warning group." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Mar%5FRust.pdf.

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Coffman, James Wyatt. "Web-enabling an early warning and tracking system for network vulnerabilities." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA397344.

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Pukhanov, Alexander. "WiFi Extension for Drought Early-Warning Detection System Components." Thesis, Linköpings universitet, Elektroniska Kretsar och System, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-123436.

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Excessive droughts on the African continent have caused the Swedish Meteorological and Hydrological Institute to launch a program of gathering data in hopes of producing models for rainfalls and droughts. A sensor capable of gathering such data has already been chosen, however there remains the problem of conveniently retrieving data from each of the sensors spread over a large area of land. To accomplish this goal, a small, cheap and efficient wireless capable module would need to be used. A possible candidate is the new WiFi-module from Espress if designated ESP8266. It is an extremely cheap

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Al, Saleh Mohammed. "SPADAR : Situation-aware and proactive analytics for dynamic adaptation in real time." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG060.

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Bien que le niveau de rayonnement soit une préoccupation sérieuse qui nécessite une surveillance continue, de nombreux systèmes existants sont conçus pour effectuer cette tâche. Radiation Early Warning System (REWS) est l'un de ces systèmes qui surveille le niveau de rayonnement gamma dans l'air. Un tel système nécessite une intervention manuelle élevée, dépend totalement de l'analyse d'experts et présente des lacunes qui peuvent parfois être risquées. Dans cette thèse, l'approche RIMI (Refining Incoming Monitored Incidents) sera introduite, qui vise à améliorer ce système pour gagner en auton

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Su, Joseph C. C. 1977. "Developing an early warning system for congestive heart failure during a Bayesian reasoning network." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/89329.

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Foot, Kirsten A. "Writing conflicts : an activity theory analysis of the development of the Network for Ethnological Monitoring and Early Warning /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1999. http://wwwlib.umi.com/cr/ucsd/fullcit?p9935450.

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Lagazio, Monica. "An early warning information system for militarised interstate conflicts : combining the interactive liberal peace proposition with neural network modelling." Thesis, University of Nottingham, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366598.

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GIOMMI, Chiara. "Study of the effects of climate extremes on functioning of intertidal assemblages to design an early warning sensor network." Doctoral thesis, Università degli Studi di Palermo, 2020. http://hdl.handle.net/10447/395474.

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Edossa, D. C., and M. S. Babel. "Development of streamflow forecasting model using artificial neural network in the Awash River Basin, Ethiopia." Interim : Interdisciplinary Journal, Vol 10 , Issue 1: Central University of Technology Free State Bloemfontein, 2011. http://hdl.handle.net/11462/332.

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Published Article<br>Early indication of possible drought can help in developing suitable drought mitigation strategies and measures in advance. Therefore, drought forecasting plays an important role in the planning and management of water resource in such circumstances. In this study, a non-linear streamflow forecasting model was developed using Artificial Neural Network (ANN) modeling technique at the Melka Sedi stream gauging station, Ethiopia, with adequate lead times. The available data was divided into two independent sets using a split sampling tool of the neural network software. The f

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Hloupis, Georgios. "Seismological data acquisition and signal processing using wavelets." Thesis, Brunel University, 2009. http://bura.brunel.ac.uk/handle/2438/3470.

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This work deals with two main fields: a) The design, built, installation, test, evaluation, deployment and maintenance of Seismological Network of Crete (SNC) of the Laboratory of Geophysics and Seismology (LGS) at Technological Educational Institute (TEI) at Chania. b) The use of Wavelet Transform (WT) in several applications during the operation of the aforementioned network. SNC began its operation in 2003. It is designed and built in order to provide denser network coverage, real time data transmission to CRC, real time telemetry, use of wired ADSL lines and dedicated private satellite lin

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Books on the topic "Radiation early warning network"

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author, Sagala Saut, Adi Suryadini author, and Institute of Resource Governance and Social Change (Indonesia), eds. Conceptualizing an established network of a community based flood early warning system: Case of Cawang, East Jakarta, Jakarta, Indonesia. IRGSC, 2013.

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Web-Enabling an Early Warning and Tracking System for Network Vulnerabilities. Storming Media, 2001.

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Department of Defense. United States Earthquake Early Warning System: How Theory and Analysis Can Save America Before the Big One Happens - Advocating Implementation of the ShakeAlert Warning System on the Seismic Network. Independently Published, 2018.

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Early warning satellites: Funding for follow-on system is premature : report to the Chairman, Subcommittee on Defense, Committee on Appropriations, House of Representatives. The Office, 1991.

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US GOVERNMENT. 21st Century Guide to the Famine Early Warning System Network (FEWS) ¿ U.S. Agency for International Development (USAID) Monitoring Food Insecurity in Africa (Core Federal Information Series). Progressive Management, 2003.

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Big Data and Artificial Intelligence Based Early Risk Warning System of Fire Hazard for Smart Cities: Deep Belief Network ,Artificial Intelligence ,smart Cities,smart Cities Big Data. Independently Published, 2021.

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Book chapters on the topic "Radiation early warning network"

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Tikkanen, Antti, and Teemupekka Virtanen. "Early Warning for Network Worms." In Computational Intelligence and Security. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11596981_157.

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Kalutarage, Harsha, Siraj Shaikh, Bu-Sung Lee, Chonho Lee, and Yeo Chai Kiat. "Early Warning Systems for Cyber Defence." In Open Problems in Network Security. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39028-4_3.

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Bsufka, Karsten, Olaf Kroll-Peters, and Sahin Albayrak. "Intelligent Network-Based Early Warning Systems." In Critical Information Infrastructures Security. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11962977_9.

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Chatziadam, Panos, Ioannis G. Askoxylakis, and Alexandros Fragkiadakis. "A Network Telescope for Early Warning Intrusion Detection." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07620-1_2.

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Shimizu, Yoshihisa, and Kunihiro Takahashi. "Real-Time City Gas Network Damage Estimation System: SIGNAL." In Early Warning Systems for Natural Disaster Reduction. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55903-7_93.

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Yu, Lan. "Neural Network Technology for Electrical Fire Early Warning System." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2287-1_44.

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Xia, Xiaona, and Wanxue Qi. "Early Warning Value Propagation Network for Continuous Learning Behaviors." In Early Warning Mechanisms for Online Learning Behaviors Driven by Educational Big Data. Routledge, 2024. http://dx.doi.org/10.4324/9781003484905-4.

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Liu, Ke. "Financial Early Warning Based on BP Neural Network Model." In Cyber Security Intelligence and Analytics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97874-7_96.

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Fujita, Haruhiro, and Christopher Elvidge. "Dedicated Earth Monitoring and Disaster Warning Applications by Asia Pacific Advanced Network (APAN)." In Early Warning Systems for Natural Disaster Reduction. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55903-7_87.

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Wijesinghe, Lanka, Prasanga Siriwardena, and Dileeka Dias. "A Wireless Sensor Network for Early Warning of Elephant Intrusions." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41054-3_4.

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Conference papers on the topic "Radiation early warning network"

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Liu, Mingxuan. "Debris flow early warning system based on ZigBee wireless sensor network." In 2025 6th International Conference on Electrical, Electronic Information and Communication Engineering (EEICE). IEEE, 2025. https://doi.org/10.1109/eeice65049.2025.11034047.

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Awad, Hasan, Fehmida Usmani, Emanuele Virgillito, et al. "A Machine Learning-Driven Smart Optical Network Grid for Earthquake Early Warning." In 2024 24th International Conference on Transparent Optical Networks (ICTON). IEEE, 2024. http://dx.doi.org/10.1109/icton62926.2024.10648206.

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Xin, Weihong, Yueai Zhao, and Mingxing Hou. "Analysis and Design of Network Public Opinion Early Warning System for Emergencies." In 2019 IEEE 5th International Conference on Big Data Intelligence and Computing (DATACOM). IEEE, 2019. http://dx.doi.org/10.1109/datacom.2019.00060.

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Jia, Yujie, and Yajun Tang. "Research on Financial Crisis Early Warning based on Improved Backpropagation Neural Network." In 2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS). IEEE, 2025. https://doi.org/10.1109/icicacs65178.2025.10968218.

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Wu, Wenjie, Hui Hou, Wei Zhang, Yangjun Zhou, Weixiang Huang, and Chenying Yi. "Review on Typhoon Disaster Chain Early Warning and Response in Distribution Network." In 2024 4th International Conference on Smart City and Green Energy (ICSCGE). IEEE, 2024. https://doi.org/10.1109/icscge64239.2024.11064267.

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Awad, Hasan, Rudi Bratovich, Stefano Straullu, et al. "Experimental Validation on Using Optical Network-as-a-Sensor for Earthquake Early Warning." In 2025 International Conference on Optical Network Design and Modeling (ONDM). IEEE, 2025. https://doi.org/10.23919/ondm65745.2025.11029353.

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Burns, David A., Marc S. Litz, James J. Carroll, and Dimosthenis Katsis. "Radiation detection and wireless networked early warning." In SPIE Defense, Security, and Sensing. SPIE, 2012. http://dx.doi.org/10.1117/12.918590.

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Yalin, Ye, Yan Lina, Zhang Qian, Yuan Quan, and Xu Yang. "Design of Network Security Early Warning System." In 2016 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS). IEEE, 2016. http://dx.doi.org/10.1109/icitbs.2016.55.

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Kumar, Prashant, Preetam Kumar, Poonam Priyadarshini, and Srija. "Underwater acoustic sensor network for early warning generation." In OCEANS 2012. IEEE, 2012. http://dx.doi.org/10.1109/oceans.2012.6405009.

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Kroll, Dan. "Criteria for Evaluating Distribution Network Early Warning Systems." In World Environmental and Water Resources Congress 2010. American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41114(371)49.

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Reports on the topic "Radiation early warning network"

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Boyd, G. M. Sandia Lightning Early Warning Network: Digital-based upgrade. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10148433.

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Alonso-Robisco, Andrés, Andrés Alonso-Robisco, José Manuel Carbó, et al. Empowering financial supervision: a SupTech experiment using machine learning in an early warning system. Banco de España, 2025. https://doi.org/10.53479/39320.

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New technologies have made available a vast amount of new data in the form of text, recording an exponentially increasing share of human and corporate behavior. For financial supervisors, the information encoded in text is a valuable complement to the more traditional balance sheet data typically used to track the soundness of financial institutions. In this study, we exploit several natural language processing (NLP) techniques as well as network analysis to detect anomalies in the Spanish corporate system, identifying both idiosyncratic and systemic risks. We use sentiment analysis at the cor

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Bowman, Steve, Relu Burlacu, John Crofts, et al. On the Feasibility of Implementing an Earthquake Early Warning (EEW) System in Utah. Utah Geological Survey, 2024. http://dx.doi.org/10.34191/eew-2023.

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The Utah Legislature, in the 2022 General Session, appropriated funding to study the feasibility of implementing an Earthquake Early Warning (EEW) system in Utah. Funding was provided to the three primary agencies in the Utah Earthquake Program—the Utah Division of Emergency Management (UDEM), the Utah Geological Survey (UGS), and the University of Utah Seismograph Stations (UUSS). The study consisted of four main activities: (1) reviewing the history and development of EEW systems within the U.S. and around the world; (2) assessing the potential performance of an EEW system in Utah; (3) deter

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Perera, Duminda, Ousmane Seidou, Jetal Agnihotri, et al. Flood Early Warning Systems: A Review Of Benefits, Challenges And Prospects. United Nations University Institute for Water, Environment and Health, 2019. http://dx.doi.org/10.53328/mjfq3791.

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Floods are major water-related disasters that affect millions of people resulting in thousands of mortalities and billiondollar losses globally every year. Flood Early Warning Systems (FEWS) - one of the floods risk management measures - are currently operational in many countries. The UN Office for Disaster Risk Reduction recognises their importance and strongly advocates for an increase in their availability under the targets of the Sendai Framework for Disaster Risk Reduction, and Sustainable Development Goals (SDGs). However, despite widespread recognition of the importance of FEWS for dis

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Frish. PR-319-084511-R01 Advanced Development of Proactive Infrasonic Gas Pipeline Evaluation Network (PIGPEN). Pipeline Research Council International, Inc. (PRCI), 2014. http://dx.doi.org/10.55274/r0010816.

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A third party damage prevention warning system must have the following important attributes; the ability to accurately detect excavating activity in dense, noisy and high traffic areas, low maintenance requirements, be relatively easy to install, provide 24/7 coverage, and exhibit a low rate of false alarms. Systems that detect and quickly notify of encroachment or insufficient practices near gas pipelines would enable pipeline operators to take actions to avoid damage incidents. Early warning provides pipeline owners the ability to respond to an intrusion in time to prevent pipeline damage, a

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Shriver, Gregory, Elizabeth Tymkiw, Hannah Redmond, Samuel Roberts, Zachary Ladin, and Deana Dawson. Landbird monitoring protocol for the National Capital Region Network: Revision 2.0, 2023. National Park Service, 2025. https://doi.org/10.36967/2312879.

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The National Park Service (NPS) Inventory and Monitoring (I&M) Program conducts long-term ecological monitoring of high-priority indicator resources, deemed “vital signs.” This protocol documents the justification and procedure for monitoring breeding landbirds, a vital sign, in one of the 32 ecoregional I&M networks, the National Capital Region Network (NCRN). “Landbird” refers to the many avian species that spend the majority of their lives in a terrestrial environment, including tree-dwelling birds, perching birds or songbirds, raptors, and ground-feeding birds. Landbird monitoring

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Hughes, Jim, Robert Emmot, Nora Murdock, Patrick Flaherty, Evan Raskin, and Wendy Wright. Protocol narrative: Long-term continuous water-quality monitoring at Big South Fork National River and Recreation Area and Obed Wild and Scenic River. National Park Service, 2018. https://doi.org/10.36967/2255929.

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This protocol describes the background, rationale, and sampling design for monitoring water quality using continuous sampling at two Appalachian Highlands Inventory and Monitoring Network (APHN) parks: Big South Fork National River and Recreation Area (BISO), and Obed Wild and Scenic River (OBRI). The main goals of this document are: (1) to outline an overall strategy for time series water-quality monitoring that is credible and scientifically rigorous, and (2) to provide a specific set of instructions in the form of standard operating procedures (SOPs) that are sufficiently detailed to ensure

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Wilson, A. M., and M. C. Kelman. Assessing the relative threats from Canadian volcanoes. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328950.

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This report presents an analysis of the threat posed by active volcanoes in Canada and outlines directives to bring Canadian volcano monitoring and research into alignment with global best practices. We analyse 28 Canadian volcanoes in terms of their relative threat to people, aviation and infrastructure. The methodology we apply to assess volcanic threat was developed by the United States Geological Survey (USGS) as part of the 2005 National Volcano Early Warning System (NVEWS). Each volcano is scored on a number of hazard and exposure factors, producing an overall threat score. The overall t

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Wilson, A. M., and M. C. Kelman. Assessing the relative threats from Canadian volcanoes. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328950.

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This report presents an analysis of the threat posed by active volcanoes in Canada and outlines directives to bring Canadian volcano monitoring and research into alignment with global best practices. We analyse 28 Canadian volcanoes in terms of their relative threat to people, aviation and infrastructure. The methodology we apply to assess volcanic threat was developed by the United States Geological Survey (USGS) as part of the 2005 National Volcano Early Warning System (NVEWS). Each volcano is scored on a number of hazard and exposure factors, producing an overall threat score. The overall t

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Hughes, James, Robert Emmott, Evan Raskin, Brian Witcher, and Wendy Wright. Protocol narrative: Long-term discrete water quality monitoring at Big South Fork National River and Recreation Area, Blue Ridge Parkway, and Obed Wild and Scenic River. National Park Service, 2018. https://doi.org/10.36967/2258269.

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Abstract:

Under the mandate of the National Parks Omnibus Management Act (1998), the National Park Service (NPS) developed a natural resources Inventory and Monitoring (I&M) program as part of a comprehensive effort to identify key natural resources within the National Park system and to provide long term monitoring of the integrity of those resources. The NPS has grouped parks into 32 I&M networks based on ecological similarity and geographic proximity. The Appalachian Highlands Inventory and Monitoring Network (APHN) includes four NPS units: Big South Fork National River and Recreation Area (B

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