Artykuły w czasopismach na temat „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, nr 75A (11.11.2021): 38–45. http://dx.doi.org/10.54939/1859-1043.j.mst.75a.2021.38-45.
Pełny tekst źródłaGlavič-Cindro, Denis, Drago Brodnik, Toni Petrovič, Matjaž Vencelj, Dušan Ponikvar, Steven James Bell, Lynsey Keightley i Selina Woods. "Compact radioactive aerosol monitoring device for early warning networks". Applied Radiation and Isotopes 126 (sierpień 2017): 219–24. http://dx.doi.org/10.1016/j.apradiso.2016.12.036.
Pełny tekst źródłaStöhlker, U., M. Bleher, H. Doll, H. Dombrowski, W. Harms, I. Hellmann, R. Luff, B. Prommer, S. Seifert i F. Weiler. "THE GERMAN DOSE RATE MONITORING NETWORK AND IMPLEMENTED DATA HARMONIZATION TECHNIQUES". Radiation Protection Dosimetry 183, nr 4 (10.01.2018): 405–17. http://dx.doi.org/10.1093/rpd/ncy154.
Pełny tekst źródłaMahomed, Maqsooda, Alistair D. Clulow, Sheldon Strydom, Tafadzwanashe Mabhaudhi i 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, nr 3 (lipiec 2021): 605–21. http://dx.doi.org/10.1175/wcas-d-20-0116.1.
Pełny tekst źródłaSingh, Mukesh Kumar, Shasvath J. Kapadia, Md Arif Shaikh, Deep Chatterjee i 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, nr 2 (19.01.2021): 1612–22. http://dx.doi.org/10.1093/mnras/stab125.
Pełny tekst źródłaFaleschini, J., H. Mayer, M. Bielz, W. Hackl i T. Schulz. "Early warning against airborne radioactivity in Bavaria: Measuring network for radioactive immissions". Kerntechnik 74, nr 4 (sierpień 2009): 205–11. http://dx.doi.org/10.3139/124.110032.
Pełny tekst źródłaZhao, Enyu, Nianxin Qu, Yulei Wang i Caixia Gao. "Spectral Reconstruction from Thermal Infrared Multispectral Image Using Convolutional Neural Network and Transformer Joint Network". Remote Sensing 16, nr 7 (5.04.2024): 1284. http://dx.doi.org/10.3390/rs16071284.
Pełny tekst źródłaNguyen, Liem D., Hong T. Nguyen, Phuong D. N. Dang, Trung Q. Duong i 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, nr 2 (5.01.2021): 324–39. http://dx.doi.org/10.2166/hydro.2021.124.
Pełny tekst źródłaShukla, Shraddhanand, Daniel McEvoy, Mike Hobbins, Greg Husak, Justin Huntington, Chris Funk, Denis Macharia i 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, nr 11 (listopad 2017): 2941–49. http://dx.doi.org/10.1175/jamc-d-17-0104.1.
Pełny tekst źródłaSáez-Vergara, J. C., I. M. G. Thompson, R. Gurriarán, H. Dombrowski, E. Funck i S. Neumaier. "The second EURADOS intercomparison of national network systems used to provide early warning of a nuclear accident". Radiation Protection Dosimetry 123, nr 2 (13.09.2006): 190–208. http://dx.doi.org/10.1093/rpd/ncl112.
Pełny tekst źródłaDi, Yangyang, i 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, nr 3 (13.02.2021): 1449–61. http://dx.doi.org/10.1007/s00603-020-02314-w.
Pełny tekst źródłaSun, Jiaqi, Jiarong Wang, Zhicheng Hao, Ming Zhu, Haijiang Sun, Ming Wei i Kun Dong. "AC-LSTM: Anomaly State Perception of Infrared Point Targets Based on CNN+LSTM". Remote Sensing 14, nr 13 (4.07.2022): 3221. http://dx.doi.org/10.3390/rs14133221.
Pełny tekst źródłaAkhmad, Yus Rusdian, Angga Kautsar, Taruniyati Handayani, Judi Pramono i Aditia Anamta. "Pengembangan spesifikasi teknis sistem pemantau radiasi lingkungan berbasis spektrometer gama untuk pengawasan ketenaganukliran di Indonesia". Jurnal Pengawasan Tenaga Nuklir 1, nr 2 (15.12.2021): 1–10. http://dx.doi.org/10.53862/jupeten.v1i2.013.
Pełny tekst źródłaLi, Jiawei, Maren Böse, Max Wyss, David J. Wald, Alexandra Hutchison, John F. Clinton, Zhongliang Wu, Changsheng Jiang i 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, nr 2 (28.01.2020): 920–36. http://dx.doi.org/10.1785/0120190117.
Pełny tekst źródłaLeontaris, F., A. Boziari, A. Clouvas, M. Kolovou i J. Guilhot. "PROCEDURES TO MEASURE MEAN AMBIENT DOSE EQUIVALENT RATES USING ELECTRET ION CHAMBERS". Radiation Protection Dosimetry 190, nr 1 (czerwiec 2020): 6–21. http://dx.doi.org/10.1093/rpd/ncaa061.
Pełny tekst źródłaAsad, Ali Turab, Byunghyun Kim, Soojin Cho i Sung-Han Sim. "Prediction Model for Long-Term Bridge Bearing Displacement Using Artificial Neural Network and Bayesian Optimization". Structural Control and Health Monitoring 2023 (14.07.2023): 1–22. http://dx.doi.org/10.1155/2023/6664981.
Pełny tekst źródłaLong, Qi, Fei Wang, Wenyan Ge, Feng Jiao, Jianqiao Han, Hao Chen, Fidel Alejandro Roig, Elena María Abraham, Mengxia Xie i Lu Cai. "Temporal and Spatial Change in Vegetation and Its Interaction with Climate Change in Argentina from 1982 to 2015". Remote Sensing 15, nr 7 (3.04.2023): 1926. http://dx.doi.org/10.3390/rs15071926.
Pełny tekst źródłaHashim, NurIzzah M., Norazian Mohamed Noor, Ahmad Zia Ul-Saufie, Andrei Victor Sandu, Petrica Vizureanu, György Deák i Marwan Kheimi. "Forecasting Daytime Ground-Level Ozone Concentration in Urbanized Areas of Malaysia Using Predictive Models". Sustainability 14, nr 13 (29.06.2022): 7936. http://dx.doi.org/10.3390/su14137936.
Pełny tekst źródłaClouvas, A., S. Xanthos, A. Boziari, F. Leontaris, I. Kaissas i M. Omirou. "PERFORMANCE OF HANDHELD NAI(TL) SPECTROMETERS AS DOSIMETERS BY LABORATORY AND FIELD DOSE RATE MEASUREMENTS". Radiation Protection Dosimetry 194, nr 4 (maj 2021): 233–48. http://dx.doi.org/10.1093/rpd/ncab098.
Pełny tekst źródłaTateo, Andrea, Mario Marcello Miglietta, Francesca Fedele, Micaela Menegotto, Alfonso Monaco i 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 (28.04.2017): 95–102. http://dx.doi.org/10.5194/asr-14-95-2017.
Pełny tekst źródłaVouillamoz, Naomi, Sabrina Rothmund i 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, nr 2 (27.06.2018): 525–50. http://dx.doi.org/10.5194/esurf-6-525-2018.
Pełny tekst źródłaPan, Zhangrong, Xiufeng Tian, Weidong Zhang i Jie Yuan. "Analysis on Early Warning Capability of Gansu Earthquake Early Warning Stations Network". IOP Conference Series: Earth and Environmental Science 304 (18.09.2019): 042027. http://dx.doi.org/10.1088/1755-1315/304/4/042027.
Pełny tekst źródłaGostilo, Vladimirs, Andrey Vlasenko, Vasily Litvinsky i Igors Krainukovs. "Development of nuclear radiation monitors for radiation early warning systems". Nuclear Technology and Radiation Protection 37, nr 3 (2022): 193–200. http://dx.doi.org/10.2298/ntrp2203193g.
Pełny tekst źródłaChen, Ying. "BP Neural Network Based on Simulated Annealing Algorithm Optimization for Financial Crisis Dynamic Early Warning Model". Computational Intelligence and Neuroscience 2021 (7.10.2021): 1–11. http://dx.doi.org/10.1155/2021/4034903.
Pełny tekst źródłaLi, Shan, Bin Feng, Wei Zhang, Yubin Feng i Zhidu Huang. "Distribution Network Disaster Early Warning and Production Decision Support System Based on Multisource Data". Mathematical Problems in Engineering 2023 (26.05.2023): 1–10. http://dx.doi.org/10.1155/2023/8929066.
Pełny tekst źródłaSong, Min, i 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 (maj 2012): 3070–74. http://dx.doi.org/10.4028/www.scientific.net/amr.524-527.3070.
Pełny tekst źródłaYou, Lianghai. "Construction of Early Warning Mechanism of University Education Network Based on the Markov Model". Mobile Information Systems 2022 (31.07.2022): 1–9. http://dx.doi.org/10.1155/2022/7302623.
Pełny tekst źródłaZhou, Hong Xiao, i Sai Hua Xu. "Application of Artificial Neural Network in Corporate Financial Risk Early-Warning". Applied Mechanics and Materials 336-338 (lipiec 2013): 2476–79. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.2476.
Pełny tekst źródłaLi, Guiliang, Bingyuan Hong, Haoran Hu, Bowen Shao, Wei Jiang, Cuicui Li i Jian Guo. "Risk Management of Island Petrochemical Park: Accident Early Warning Model Based on Artificial Neural Network". Energies 15, nr 9 (29.04.2022): 3278. http://dx.doi.org/10.3390/en15093278.
Pełny tekst źródła马, 硕. "Early Warning of Diseases Based on Network Resilience". Advances in Applied Mathematics 10, nr 02 (2021): 617–31. http://dx.doi.org/10.12677/aam.2021.102067.
Pełny tekst źródłaFischer, Joachim, Jens-Peter Redlich, Jochen Zschau, Claus Milkereit, Matteo Picozzi, Kevin Fleming, Mihal Brumbulli, Björn Lichtblau i Ingmar Eveslage. "A wireless mesh sensing network for early warning". Journal of Network and Computer Applications 35, nr 2 (marzec 2012): 538–47. http://dx.doi.org/10.1016/j.jnca.2011.07.016.
Pełny tekst źródłaDing, Guo Zhen, Zhan Yue Zhang, Lei Wang i Zhe Zhang. "Modeling and Simulation of the Dynamical Infrared Radiation of Ballistic Missile in Boost Phase". Applied Mechanics and Materials 568-570 (czerwiec 2014): 933–37. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.933.
Pełny tekst źródłaMeng, Fanqiang. "Safety Warning Model of Coal Face Based on FCM Fuzzy Clustering and GA-BP Neural Network". Symmetry 13, nr 6 (17.06.2021): 1082. http://dx.doi.org/10.3390/sym13061082.
Pełny tekst źródłaWang, Mo Yu, Jie Chen, Xiao Liu Shen i Gui Lin Yu. "Early Warning Model of Enterprise Operating Ability Using BP Neural Network". Applied Mechanics and Materials 20-23 (styczeń 2010): 948–53. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.948.
Pełny tekst źródłaMaguire, Oliver R., Albert S. Y. Wong, Jan Harm Westerdiep i Wilhelm T. S. Huck. "Early warning signals in chemical reaction networks". Chemical Communications 56, nr 26 (2020): 3725–28. http://dx.doi.org/10.1039/d0cc01010c.
Pełny tekst źródłaHu, Xiaoya. "Design and Application of a Financial Distress Early Warning Model Based on Data Reasoning and Pattern Recognition". Advances in Multimedia 2022 (13.07.2022): 1–9. http://dx.doi.org/10.1155/2022/6049649.
Pełny tekst źródłaWang, Xiaoxuan, Jingjing Wang, Ying Zhang i Yixing Du. "Analysis of Local Macroeconomic Early-Warning Model Based on Competitive Neural Network". Journal of Mathematics 2022 (11.02.2022): 1–9. http://dx.doi.org/10.1155/2022/7880652.
Pełny tekst źródłaAl Saleh, Mohammed, Béatrice Finance, Yehia Taher, Rafiqul Haque, Ali Jaber i Nourhan Bachir. "Introducing artificial intelligence to the radiation early warning system". Environmental Science and Pollution Research 29, nr 10 (2.10.2021): 14036–45. http://dx.doi.org/10.1007/s11356-021-16771-5.
Pełny tekst źródłaChapagai, Kamal K. "Sensor Network Based Testbench Implementation of Landslide Early Warning System". Environmental and Earth Sciences Research Journal 8, nr 3 (30.09.2021): 134–39. http://dx.doi.org/10.18280/eesrj.080304.
Pełny tekst źródłaQiu, Xiaohong, i 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.
Pełny tekst źródłaChen, Feng, Wei Wei Xu, Zong Heng Wang, Tao Yang i 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.
Pełny tekst źródłaChen, Xianjun. "Early Warning of Regional Landslide Disaster and Development of Rural Ecological Industrialization Based on IoT Sensor". Scientific Programming 2022 (29.03.2022): 1–7. http://dx.doi.org/10.1155/2022/9535488.
Pełny tekst źródłaYan, Xue, Xiangwu Deng i Shouheng Sun. "Analysis and Simulation of the Early Warning Model for Human Resource Management Risk Based on the BP Neural Network". Complexity 2020 (17.11.2020): 1–11. http://dx.doi.org/10.1155/2020/8838468.
Pełny tekst źródłaHutapea, Zulkifli Yacub, i Lukas Lukas. "IMPLEMENTASI SENSOR NETWORK UNTUK MONITORING BASE TRANSCEIVER STATION ( BTS )". Komputika : Jurnal Sistem Komputer 8, nr 1 (12.06.2019): 13–20. http://dx.doi.org/10.34010/komputika.v8i1.1650.
Pełny tekst źródłaZhong, Yihua, Yuxin Liu, Xuxu Lin i 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.
Pełny tekst źródłaBakry, Gema Nusantara, i Rizki Nurislaminingsih. "Information network on Twitter regarding early warning of mount Semeru eruption". Jurnal Kajian Komunikasi 11, nr 2 (31.12.2023): 306. http://dx.doi.org/10.24198/jkk.v11i2.50537.
Pełny tekst źródłaWang, Hui. "Research on Analytical Model of Network Transmission Based on Topological Structure of Logical Layer". Applied Mechanics and Materials 513-517 (luty 2014): 2360–63. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.2360.
Pełny tekst źródłaLeon, Ernesto, Cristian Alberoni, Miguel Wister i Jose Hernández-Nolasco. "Flood Early Warning System by Twitter Using LoRa". Proceedings 2, nr 19 (24.10.2018): 1213. http://dx.doi.org/10.3390/proceedings2191213.
Pełny tekst źródłaWang, Rongxia, Malik Bader Alazzam, Fawaz Alassery, Ahmed Almulihi i 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 (19.11.2021): 1–8. http://dx.doi.org/10.1155/2021/3773688.
Pełny tekst źródłaFleming, K., M. Picozzi, C. Milkereit, F. Kuhnlenz, B. Lichtblau, J. Fischer, C. Zulfikar i O. Ozel. "The Self-organizing Seismic Early Warning Information Network (SOSEWIN)". Seismological Research Letters 80, nr 5 (1.09.2009): 755–71. http://dx.doi.org/10.1785/gssrl.80.5.755.
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