Artigos de revistas sobre o tema "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, n.º 75A (11 de novembro de 2021): 38–45. http://dx.doi.org/10.54939/1859-1043.j.mst.75a.2021.38-45.
Texto completo da fonteGlavič-Cindro, Denis, Drago Brodnik, Toni Petrovič, Matjaž Vencelj, Dušan Ponikvar, Steven James Bell, Lynsey Keightley e Selina Woods. "Compact radioactive aerosol monitoring device for early warning networks". Applied Radiation and Isotopes 126 (agosto de 2017): 219–24. http://dx.doi.org/10.1016/j.apradiso.2016.12.036.
Texto completo da fonteStöhlker, U., M. Bleher, H. Doll, H. Dombrowski, W. Harms, I. Hellmann, R. Luff, B. Prommer, S. Seifert e F. Weiler. "THE GERMAN DOSE RATE MONITORING NETWORK AND IMPLEMENTED DATA HARMONIZATION TECHNIQUES". Radiation Protection Dosimetry 183, n.º 4 (10 de janeiro de 2018): 405–17. http://dx.doi.org/10.1093/rpd/ncy154.
Texto completo da fonteMahomed, Maqsooda, Alistair D. Clulow, Sheldon Strydom, Tafadzwanashe Mabhaudhi e 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, n.º 3 (julho de 2021): 605–21. http://dx.doi.org/10.1175/wcas-d-20-0116.1.
Texto completo da fonteSingh, Mukesh Kumar, Shasvath J. Kapadia, Md Arif Shaikh, Deep Chatterjee e 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, n.º 2 (19 de janeiro de 2021): 1612–22. http://dx.doi.org/10.1093/mnras/stab125.
Texto completo da fonteFaleschini, J., H. Mayer, M. Bielz, W. Hackl e T. Schulz. "Early warning against airborne radioactivity in Bavaria: Measuring network for radioactive immissions". Kerntechnik 74, n.º 4 (agosto de 2009): 205–11. http://dx.doi.org/10.3139/124.110032.
Texto completo da fonteZhao, Enyu, Nianxin Qu, Yulei Wang e Caixia Gao. "Spectral Reconstruction from Thermal Infrared Multispectral Image Using Convolutional Neural Network and Transformer Joint Network". Remote Sensing 16, n.º 7 (5 de abril de 2024): 1284. http://dx.doi.org/10.3390/rs16071284.
Texto completo da fonteNguyen, Liem D., Hong T. Nguyen, Phuong D. N. Dang, Trung Q. Duong e 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, n.º 2 (5 de janeiro de 2021): 324–39. http://dx.doi.org/10.2166/hydro.2021.124.
Texto completo da fonteShukla, Shraddhanand, Daniel McEvoy, Mike Hobbins, Greg Husak, Justin Huntington, Chris Funk, Denis Macharia e James Verdin. "Examining the Value of Global Seasonal Reference Evapotranspiration Forecasts to Support FEWS NET’s Food Insecurity Outlooks". Journal of Applied Meteorology and Climatology 56, n.º 11 (novembro de 2017): 2941–49. http://dx.doi.org/10.1175/jamc-d-17-0104.1.
Texto completo da fonteSáez-Vergara, J. C., I. M. G. Thompson, R. Gurriarán, H. Dombrowski, E. Funck e S. Neumaier. "The second EURADOS intercomparison of national network systems used to provide early warning of a nuclear accident". Radiation Protection Dosimetry 123, n.º 2 (13 de setembro de 2006): 190–208. http://dx.doi.org/10.1093/rpd/ncl112.
Texto completo da fonteDi, Yangyang, e Enyuan Wang. "Rock Burst Precursor Electromagnetic Radiation Signal Recognition Method and Early Warning Application Based on Recurrent Neural Networks". Rock Mechanics and Rock Engineering 54, n.º 3 (13 de fevereiro de 2021): 1449–61. http://dx.doi.org/10.1007/s00603-020-02314-w.
Texto completo da fonteSun, Jiaqi, Jiarong Wang, Zhicheng Hao, Ming Zhu, Haijiang Sun, Ming Wei e Kun Dong. "AC-LSTM: Anomaly State Perception of Infrared Point Targets Based on CNN+LSTM". Remote Sensing 14, n.º 13 (4 de julho de 2022): 3221. http://dx.doi.org/10.3390/rs14133221.
Texto completo da fonteAkhmad, Yus Rusdian, Angga Kautsar, Taruniyati Handayani, Judi Pramono e Aditia Anamta. "Pengembangan spesifikasi teknis sistem pemantau radiasi lingkungan berbasis spektrometer gama untuk pengawasan ketenaganukliran di Indonesia". Jurnal Pengawasan Tenaga Nuklir 1, n.º 2 (15 de dezembro de 2021): 1–10. http://dx.doi.org/10.53862/jupeten.v1i2.013.
Texto completo da fonteLi, Jiawei, Maren Böse, Max Wyss, David J. Wald, Alexandra Hutchison, John F. Clinton, Zhongliang Wu, Changsheng Jiang e Shiyong Zhou. "Estimating Rupture Dimensions of Three Major Earthquakes in Sichuan, China, for Early Warning and Rapid Loss Estimates". Bulletin of the Seismological Society of America 110, n.º 2 (28 de janeiro de 2020): 920–36. http://dx.doi.org/10.1785/0120190117.
Texto completo da fonteLeontaris, F., A. Boziari, A. Clouvas, M. Kolovou e J. Guilhot. "PROCEDURES TO MEASURE MEAN AMBIENT DOSE EQUIVALENT RATES USING ELECTRET ION CHAMBERS". Radiation Protection Dosimetry 190, n.º 1 (junho de 2020): 6–21. http://dx.doi.org/10.1093/rpd/ncaa061.
Texto completo da fonteAsad, Ali Turab, Byunghyun Kim, Soojin Cho e Sung-Han Sim. "Prediction Model for Long-Term Bridge Bearing Displacement Using Artificial Neural Network and Bayesian Optimization". Structural Control and Health Monitoring 2023 (14 de julho de 2023): 1–22. http://dx.doi.org/10.1155/2023/6664981.
Texto completo da fonteLong, Qi, Fei Wang, Wenyan Ge, Feng Jiao, Jianqiao Han, Hao Chen, Fidel Alejandro Roig, Elena María Abraham, Mengxia Xie e Lu Cai. "Temporal and Spatial Change in Vegetation and Its Interaction with Climate Change in Argentina from 1982 to 2015". Remote Sensing 15, n.º 7 (3 de abril de 2023): 1926. http://dx.doi.org/10.3390/rs15071926.
Texto completo da fonteHashim, NurIzzah M., Norazian Mohamed Noor, Ahmad Zia Ul-Saufie, Andrei Victor Sandu, Petrica Vizureanu, György Deák e Marwan Kheimi. "Forecasting Daytime Ground-Level Ozone Concentration in Urbanized Areas of Malaysia Using Predictive Models". Sustainability 14, n.º 13 (29 de junho de 2022): 7936. http://dx.doi.org/10.3390/su14137936.
Texto completo da fonteClouvas, A., S. Xanthos, A. Boziari, F. Leontaris, I. Kaissas e M. Omirou. "PERFORMANCE OF HANDHELD NAI(TL) SPECTROMETERS AS DOSIMETERS BY LABORATORY AND FIELD DOSE RATE MEASUREMENTS". Radiation Protection Dosimetry 194, n.º 4 (maio de 2021): 233–48. http://dx.doi.org/10.1093/rpd/ncab098.
Texto completo da fonteTateo, Andrea, Mario Marcello Miglietta, Francesca Fedele, Micaela Menegotto, Alfonso Monaco e Roberto Bellotti. "Ensemble using different Planetary Boundary Layer schemes in WRF model for wind speed and direction prediction over Apulia region". Advances in Science and Research 14 (28 de abril de 2017): 95–102. http://dx.doi.org/10.5194/asr-14-95-2017.
Texto completo da fonteVouillamoz, Naomi, Sabrina Rothmund e Manfred Joswig. "Characterizing the complexity of microseismic signals at slow-moving clay-rich debris slides: the Super-Sauze (southeastern France) and Pechgraben (Upper Austria) case studies". Earth Surface Dynamics 6, n.º 2 (27 de junho de 2018): 525–50. http://dx.doi.org/10.5194/esurf-6-525-2018.
Texto completo da fontePan, Zhangrong, Xiufeng Tian, Weidong Zhang e Jie Yuan. "Analysis on Early Warning Capability of Gansu Earthquake Early Warning Stations Network". IOP Conference Series: Earth and Environmental Science 304 (18 de setembro de 2019): 042027. http://dx.doi.org/10.1088/1755-1315/304/4/042027.
Texto completo da fonteGostilo, Vladimirs, Andrey Vlasenko, Vasily Litvinsky e Igors Krainukovs. "Development of nuclear radiation monitors for radiation early warning systems". Nuclear Technology and Radiation Protection 37, n.º 3 (2022): 193–200. http://dx.doi.org/10.2298/ntrp2203193g.
Texto completo da fonteChen, Ying. "BP Neural Network Based on Simulated Annealing Algorithm Optimization for Financial Crisis Dynamic Early Warning Model". Computational Intelligence and Neuroscience 2021 (7 de outubro de 2021): 1–11. http://dx.doi.org/10.1155/2021/4034903.
Texto completo da fonteLi, Shan, Bin Feng, Wei Zhang, Yubin Feng e Zhidu Huang. "Distribution Network Disaster Early Warning and Production Decision Support System Based on Multisource Data". Mathematical Problems in Engineering 2023 (26 de maio de 2023): 1–10. http://dx.doi.org/10.1155/2023/8929066.
Texto completo da fonteSong, Min, e Xue Min Liu. "Early-Warning Research on Resource Economy Sustainable Development Based on BP Artificial Neural Network - The Case of Yulin of Shaanxi Province". Advanced Materials Research 524-527 (maio de 2012): 3070–74. http://dx.doi.org/10.4028/www.scientific.net/amr.524-527.3070.
Texto completo da fonteYou, Lianghai. "Construction of Early Warning Mechanism of University Education Network Based on the Markov Model". Mobile Information Systems 2022 (31 de julho de 2022): 1–9. http://dx.doi.org/10.1155/2022/7302623.
Texto completo da fonteZhou, Hong Xiao, e Sai Hua Xu. "Application of Artificial Neural Network in Corporate Financial Risk Early-Warning". Applied Mechanics and Materials 336-338 (julho de 2013): 2476–79. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.2476.
Texto completo da fonteLi, Guiliang, Bingyuan Hong, Haoran Hu, Bowen Shao, Wei Jiang, Cuicui Li e Jian Guo. "Risk Management of Island Petrochemical Park: Accident Early Warning Model Based on Artificial Neural Network". Energies 15, n.º 9 (29 de abril de 2022): 3278. http://dx.doi.org/10.3390/en15093278.
Texto completo da fonte马, 硕. "Early Warning of Diseases Based on Network Resilience". Advances in Applied Mathematics 10, n.º 02 (2021): 617–31. http://dx.doi.org/10.12677/aam.2021.102067.
Texto completo da fonteFischer, Joachim, Jens-Peter Redlich, Jochen Zschau, Claus Milkereit, Matteo Picozzi, Kevin Fleming, Mihal Brumbulli, Björn Lichtblau e Ingmar Eveslage. "A wireless mesh sensing network for early warning". Journal of Network and Computer Applications 35, n.º 2 (março de 2012): 538–47. http://dx.doi.org/10.1016/j.jnca.2011.07.016.
Texto completo da fonteDing, Guo Zhen, Zhan Yue Zhang, Lei Wang e Zhe Zhang. "Modeling and Simulation of the Dynamical Infrared Radiation of Ballistic Missile in Boost Phase". Applied Mechanics and Materials 568-570 (junho de 2014): 933–37. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.933.
Texto completo da fonteMeng, Fanqiang. "Safety Warning Model of Coal Face Based on FCM Fuzzy Clustering and GA-BP Neural Network". Symmetry 13, n.º 6 (17 de junho de 2021): 1082. http://dx.doi.org/10.3390/sym13061082.
Texto completo da fonteWang, Mo Yu, Jie Chen, Xiao Liu Shen e Gui Lin Yu. "Early Warning Model of Enterprise Operating Ability Using BP Neural Network". Applied Mechanics and Materials 20-23 (janeiro de 2010): 948–53. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.948.
Texto completo da fonteMaguire, Oliver R., Albert S. Y. Wong, Jan Harm Westerdiep e Wilhelm T. S. Huck. "Early warning signals in chemical reaction networks". Chemical Communications 56, n.º 26 (2020): 3725–28. http://dx.doi.org/10.1039/d0cc01010c.
Texto completo da fonteHu, Xiaoya. "Design and Application of a Financial Distress Early Warning Model Based on Data Reasoning and Pattern Recognition". Advances in Multimedia 2022 (13 de julho de 2022): 1–9. http://dx.doi.org/10.1155/2022/6049649.
Texto completo da fonteWang, Xiaoxuan, Jingjing Wang, Ying Zhang e Yixing Du. "Analysis of Local Macroeconomic Early-Warning Model Based on Competitive Neural Network". Journal of Mathematics 2022 (11 de fevereiro de 2022): 1–9. http://dx.doi.org/10.1155/2022/7880652.
Texto completo da fonteAl Saleh, Mohammed, Béatrice Finance, Yehia Taher, Rafiqul Haque, Ali Jaber e Nourhan Bachir. "Introducing artificial intelligence to the radiation early warning system". Environmental Science and Pollution Research 29, n.º 10 (2 de outubro de 2021): 14036–45. http://dx.doi.org/10.1007/s11356-021-16771-5.
Texto completo da fonteChapagai, Kamal K. "Sensor Network Based Testbench Implementation of Landslide Early Warning System". Environmental and Earth Sciences Research Journal 8, n.º 3 (30 de setembro de 2021): 134–39. http://dx.doi.org/10.18280/eesrj.080304.
Texto completo da fonteQiu, Xiaohong, e Jiali Chen. "Algorithm of axial compressor stall warning based on BP neural network and fuzzy logic". MATEC Web of Conferences 355 (2022): 03007. http://dx.doi.org/10.1051/matecconf/202235503007.
Texto completo da fonteChen, Feng, Wei Wei Xu, Zong Heng Wang, Tao Yang e Hong Yang Huang. "A research on early warning method of Distribution Network Cyber Physical System". E3S Web of Conferences 248 (2021): 02054. http://dx.doi.org/10.1051/e3sconf/202124802054.
Texto completo da fonteChen, Xianjun. "Early Warning of Regional Landslide Disaster and Development of Rural Ecological Industrialization Based on IoT Sensor". Scientific Programming 2022 (29 de março de 2022): 1–7. http://dx.doi.org/10.1155/2022/9535488.
Texto completo da fonteYan, Xue, Xiangwu Deng e Shouheng Sun. "Analysis and Simulation of the Early Warning Model for Human Resource Management Risk Based on the BP Neural Network". Complexity 2020 (17 de novembro de 2020): 1–11. http://dx.doi.org/10.1155/2020/8838468.
Texto completo da fonteHutapea, Zulkifli Yacub, e Lukas Lukas. "IMPLEMENTASI SENSOR NETWORK UNTUK MONITORING BASE TRANSCEIVER STATION ( BTS )". Komputika : Jurnal Sistem Komputer 8, n.º 1 (12 de junho de 2019): 13–20. http://dx.doi.org/10.34010/komputika.v8i1.1650.
Texto completo da fonteZhong, Yihua, Yuxin Liu, Xuxu Lin e Shiming Luo. "The Method of Oilfield Development Risk Forecasting and Early Warning Using Revised Bayesian Network". Mathematical Problems in Engineering 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/9564801.
Texto completo da fonteBakry, Gema Nusantara, e Rizki Nurislaminingsih. "Information network on Twitter regarding early warning of mount Semeru eruption". Jurnal Kajian Komunikasi 11, n.º 2 (31 de dezembro de 2023): 306. http://dx.doi.org/10.24198/jkk.v11i2.50537.
Texto completo da fonteWang, Hui. "Research on Analytical Model of Network Transmission Based on Topological Structure of Logical Layer". Applied Mechanics and Materials 513-517 (fevereiro de 2014): 2360–63. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.2360.
Texto completo da fonteLeon, Ernesto, Cristian Alberoni, Miguel Wister e Jose Hernández-Nolasco. "Flood Early Warning System by Twitter Using LoRa". Proceedings 2, n.º 19 (24 de outubro de 2018): 1213. http://dx.doi.org/10.3390/proceedings2191213.
Texto completo da fonteWang, Rongxia, Malik Bader Alazzam, Fawaz Alassery, Ahmed Almulihi e Marvin White. "Innovative Research of Trajectory Prediction Algorithm Based on Deep Learning in Car Network Collision Detection and Early Warning System". Mobile Information Systems 2021 (19 de novembro de 2021): 1–8. http://dx.doi.org/10.1155/2021/3773688.
Texto completo da fonteFleming, K., M. Picozzi, C. Milkereit, F. Kuhnlenz, B. Lichtblau, J. Fischer, C. Zulfikar e O. Ozel. "The Self-organizing Seismic Early Warning Information Network (SOSEWIN)". Seismological Research Letters 80, n.º 5 (1 de setembro de 2009): 755–71. http://dx.doi.org/10.1785/gssrl.80.5.755.
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