Artículos de revistas sobre el tema "Networked Epidemic Model"
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Liu, Zuhan y Canrong Tian. "A weighted networked SIRS epidemic model". Journal of Differential Equations 269, n.º 12 (diciembre de 2020): 10995–1019. http://dx.doi.org/10.1016/j.jde.2020.07.038.
Texto completoTian, Canrong, Qunying Zhang y Lai Zhang. "Global stability in a networked SIR epidemic model". Applied Mathematics Letters 107 (septiembre de 2020): 106444. http://dx.doi.org/10.1016/j.aml.2020.106444.
Texto completoШеншин, Александр Игоревич, Евгения Андреевна Шварцкопф y Константин Александрович Разинкин. "MATHEMATICAL PROVISION OF TWO-STAGE MODEL OF EPIDEMIC PROCESSES OF NETWORKED AUTOMATED STRUCTURES". ИНФОРМАЦИЯ И БЕЗОПАСНОСТЬ, n.º 3(-) (19 de octubre de 2021): 431–52. http://dx.doi.org/10.36622/vstu.2021.24.3.010.
Texto completoÁLVAREZ, E., J. DONADO-CAMPOS y F. MORILLA. "New coronavirus outbreak. Lessons learned from the severe acute respiratory syndrome epidemic". Epidemiology and Infection 143, n.º 13 (16 de enero de 2015): 2882–93. http://dx.doi.org/10.1017/s095026881400377x.
Texto completoLiu, Fangzhou, Shaoxuan CUI, Xianwei Li y Martin Buss. "On the Stability of the Endemic Equilibrium of A Discrete-Time Networked Epidemic Model". IFAC-PapersOnLine 53, n.º 2 (2020): 2576–81. http://dx.doi.org/10.1016/j.ifacol.2020.12.304.
Texto completoAnderson, Brian D. O. y Mengbin Ye. "Equilibria Analysis of a Networked Bivirus Epidemic Model Using Poincaré–Hopf and Manifold Theory". SIAM Journal on Applied Dynamical Systems 22, n.º 4 (12 de octubre de 2023): 2856–89. http://dx.doi.org/10.1137/22m1529981.
Texto completoLiu, Fangzhou, Zengjie Zhang y Martin Buss. "Optimal filtering and control of network information epidemics". at - Automatisierungstechnik 69, n.º 2 (30 de enero de 2021): 122–30. http://dx.doi.org/10.1515/auto-2020-0096.
Texto completoBellocchio, Francesco, Paola Carioni, Caterina Lonati, Mario Garbelli, Francisco Martínez-Martínez, Stefano Stuard y Luca Neri. "Enhanced Sentinel Surveillance System for COVID-19 Outbreak Prediction in a Large European Dialysis Clinics Network". International Journal of Environmental Research and Public Health 18, n.º 18 (16 de septiembre de 2021): 9739. http://dx.doi.org/10.3390/ijerph18189739.
Texto completoChwat, Olivia. "Social Solidarity during the Pandemic: The “Visible Hand” and Networked Social Movements". Kultura i Społeczeństwo 65, n.º 1 (22 de marzo de 2021): 87–104. http://dx.doi.org/10.35757/kis.2021.65.1.3.
Texto completoSiettos, Constantinos I., Cleo Anastassopoulou, Lucia Russo, Christos Grigoras y Eleftherios Mylonakis. "Forecasting and control policy assessment for the Ebola virus disease (EVD) epidemic in Sierra Leone using small-world networked model simulations". BMJ Open 6, n.º 1 (enero de 2016): e008649. http://dx.doi.org/10.1136/bmjopen-2015-008649.
Texto completoPoncela-Casasnovas, Julia, Bonnie Spring, Daniel McClary, Arlen C. Moller, Rufaro Mukogo, Christine A. Pellegrini, Michael J. Coons, Miriam Davidson, Satyam Mukherjee y Luis A. Nunes Amaral. "Social embeddedness in an online weight management programme is linked to greater weight loss". Journal of The Royal Society Interface 12, n.º 104 (marzo de 2015): 20140686. http://dx.doi.org/10.1098/rsif.2014.0686.
Texto completoSun, Chu, Qing Xia y Xiaoren Mei. "Evaluation of Product Innovation Practice of Chinese Internet Companies Based on DANP Model". Wireless Communications and Mobile Computing 2022 (9 de marzo de 2022): 1–15. http://dx.doi.org/10.1155/2022/5744875.
Texto completoLiu, Gehui, Yuqi Chen, Haichen Chen, Jiehao Dai, Wenjie Wang y Senbin Yu. "The Identification of Influential Nodes Based on Neighborhood Information in Asymmetric Networks". Symmetry 16, n.º 2 (6 de febrero de 2024): 193. http://dx.doi.org/10.3390/sym16020193.
Texto completoCross, Cristina, Alysse Edwards, Dayna Mercadante y Jorge Rebaza. "Dynamics of a networked connectivity model of epidemics". Discrete and Continuous Dynamical Systems - Series B 21, n.º 10 (noviembre de 2016): 3379–90. http://dx.doi.org/10.3934/dcdsb.2016102.
Texto completoNowzari, Cameron, Victor M. Preciado y George J. Pappas. "Optimal Resource Allocation for Control of Networked Epidemic Models". IEEE Transactions on Control of Network Systems 4, n.º 2 (junio de 2017): 159–69. http://dx.doi.org/10.1109/tcns.2015.2482221.
Texto completoHwang, Wonjun, Yoora Kim y Kyunghan Lee. "Augmenting Epidemic Models with Graph Neural Networks". ACM SIGMETRICS Performance Evaluation Review 50, n.º 4 (26 de abril de 2023): 11–13. http://dx.doi.org/10.1145/3595244.3595249.
Texto completoQu, Zongxi, Beidou Zhang y Hongpeng Wang. "A Multivariate Deep Learning Model with Coupled Human Intervention Factors for COVID-19 Forecasting". Systems 11, n.º 4 (17 de abril de 2023): 201. http://dx.doi.org/10.3390/systems11040201.
Texto completoOsipov, Vasiliy, Sergey Kuleshov, Alexandra Zaytseva y Alexey Aksenov. "Approach for the COVID-19 Epidemic Source Localization in Russia Based on Mathematical Modeling". Informatics and Automation 20, n.º 5 (13 de agosto de 2021): 1065–89. http://dx.doi.org/10.15622/20.5.3.
Texto completoLi, Bing y Qi Liu. "Optimal Scheduling of Emergency Materials Based on Gray Prediction Model under Uncertain Demand". Electronics 12, n.º 20 (19 de octubre de 2023): 4337. http://dx.doi.org/10.3390/electronics12204337.
Texto completoChumachenko, Dmytro, Ievgen Meniailov, Andrii Hrimov, Vladislav Lopatka, Olha Moroz y Olena Tolstoluzka. "Simulation and forecasting of the influenza epidemic process using seasonal autoregressive integrated moving average model". RADIOELECTRONIC AND COMPUTER SYSTEMS, n.º 4 (29 de noviembre de 2021): 22–35. http://dx.doi.org/10.32620/reks.2021.4.02.
Texto completoPei-Hsuan Hsieh, Pei-Hsuan Hsieh y Chun-Hua Lin Pei-Hsuan Hsieh. "A Social Network Analysis of COVID-19 Transmission Models in Taiwan: Two Epidemic Waves in 2020-2021". 網際網路技術學刊 23, n.º 5 (septiembre de 2022): 1009–18. http://dx.doi.org/10.53106/160792642022092305009.
Texto completoZakharov, Victor y Yulia Balykina. "Balance Model of COVID-19 Epidemic Based on Percentage Growth Rate". Informatics and Automation 20, n.º 5 (13 de agosto de 2021): 1034–64. http://dx.doi.org/10.15622/20.5.2.
Texto completoHu, Xiaofeng. "Study on the Risk of Transmission of COVID-19 Based on Population Migration". Wireless Communications and Mobile Computing 2022 (30 de junio de 2022): 1–12. http://dx.doi.org/10.1155/2022/1646626.
Texto completoWang, Xu, Bo Song, Wei Ni, Ren Ping Liu, Y. Jay Guo, Xinxin Niu y Kangfeng Zheng. "Group-Based Susceptible-Infectious-Susceptible Model in Large-Scale Directed Networks". Security and Communication Networks 2019 (16 de enero de 2019): 1–9. http://dx.doi.org/10.1155/2019/1657164.
Texto completoMa, Junyi, Xuanliang Wang, Yasha Wang, Jiangtao Wang, Xu Chu y Junfeng Zhao. "Enhancing Online Epidemic Supervising System by Compartmental and GRU Fusion Model". Mobile Information Systems 2022 (29 de agosto de 2022): 1–15. http://dx.doi.org/10.1155/2022/3303854.
Texto completoLoola Bokonda, Patrick, Moussa Sidibe, Nissrine Souissi y Khadija Ouazzani-Touhami. "Machine Learning Model for Predicting Epidemics". Computers 12, n.º 3 (28 de febrero de 2023): 54. http://dx.doi.org/10.3390/computers12030054.
Texto completoLYSENKO, Sergii, Vitalina Sakhniuk y Oleg BONDARUK. "A METHOD FOR SYNTHESIZING HARDWARE AND SOFTWARE TOOLS TO ENSURE THE STABILITY OF A CORPORATE COMPUTER NETWORK". Herald of Khmelnytskyi National University. Technical sciences 319, n.º 2 (27 de abril de 2023): 344–50. http://dx.doi.org/10.31891/2307-5732-2023-319-1-344-350.
Texto completoGhosh, Asit K., J. Chattopadhyay y P. K. Tapaswi. "An SIRS epidemic model on a dispersive population". Korean Journal of Computational & Applied Mathematics 7, n.º 3 (septiembre de 2000): 693–708. http://dx.doi.org/10.1007/bf03012279.
Texto completoDu, Yi-Hong y Shi-Hua Liu. "Epidemic Model of Algorithm-Enhanced Dedicated Virus through Networks". Security and Communication Networks 2018 (7 de junio de 2018): 1–7. http://dx.doi.org/10.1155/2018/4691203.
Texto completoYan, Dingyu, Feng Liu, Yaqin Zhang y Kun Jia. "Dynamical model for individual defence against cyber epidemic attacks". IET Information Security 13, n.º 6 (1 de noviembre de 2019): 541–51. http://dx.doi.org/10.1049/iet-ifs.2018.5147.
Texto completoWang, Weiguo, Chen Chu, Jinzhuo Liu y Tairan Li. "An Epidemic Model of Information Dissemination in Mobile Social Networks". International Journal of u- and e-Service, Science and Technology 8, n.º 1 (31 de enero de 2015): 221–30. http://dx.doi.org/10.14257/ijunesst.2015.8.1.20.
Texto completoAnagnostopoulos, Christos, Stathes Hadjiefthymiades y Evangelos Zervas. "An analytical model for multi-epidemic information dissemination". Journal of Parallel and Distributed Computing 71, n.º 1 (enero de 2011): 87–104. http://dx.doi.org/10.1016/j.jpdc.2010.08.010.
Texto completoVITTORINI, PIERPAOLO, ANTONELLA VILLANI y FERDINANDO DI ORIO. "AN INDIVIDUAL-BASED NETWORKED MODEL WITH PROBABILISTIC RELOCATION OF PEOPLE AND VECTORS AMONG LOCATIONS FOR SIMULATING THE SPREAD OF INFECTIOUS DISEASES". Journal of Biological Systems 18, n.º 04 (diciembre de 2010): 847–66. http://dx.doi.org/10.1142/s0218339010003548.
Texto completoBin Zhao, Bin Zhao, Jia-Ming Sun Bin Zhao, Dian-Kui Gao Jia-Ming Sun y Li-Zhi Xu Dian-Kui Gao. "Research on Online and Offline Mixed Education Mode in Post Epidemic Era Based on Fuzzy Neural Network-Taking Introduction of Petrochemical Equipment Management as an Example". 電腦學刊 33, n.º 2 (abril de 2022): 095–103. http://dx.doi.org/10.53106/199115992022043302008.
Texto completoBin Zhao, Bin Zhao, Jia-Ming Sun Bin Zhao, Dian-Kui Gao Jia-Ming Sun y Li-Zhi Xu Dian-Kui Gao. "Research on Online and Offline Mixed Education Mode in Post Epidemic Era Based on Fuzzy Neural Network-Taking Introduction of Petrochemical Equipment Management as an Example". 電腦學刊 33, n.º 2 (abril de 2022): 095–103. http://dx.doi.org/10.53106/199115992022043302008.
Texto completoPrasse, Bastian y Piet Van Mieghem. "Network Reconstruction and Prediction of Epidemic Outbreaks for General Group-Based Compartmental Epidemic Models". IEEE Transactions on Network Science and Engineering 7, n.º 4 (1 de octubre de 2020): 2755–64. http://dx.doi.org/10.1109/tnse.2020.2987771.
Texto completoLiu, Qun, Daqing Jiang, Tasawar Hayat y Ahmed Alsaedi. "Dynamical behavior of a stochastic epidemic model for cholera". Journal of the Franklin Institute 356, n.º 13 (septiembre de 2019): 7486–514. http://dx.doi.org/10.1016/j.jfranklin.2018.11.056.
Texto completoLevin, Simon A., Kirk Moloney, Linda Buttel y Carlos Castillo-Chavez. "Dynamical models of ecosystems and epidemics". Future Generation Computer Systems 5, n.º 2-3 (septiembre de 1989): 265–74. http://dx.doi.org/10.1016/0167-739x(89)90046-0.
Texto completoQazza, Ahmad y Rania Saadeh. "On the Analytical Solution of Fractional SIR Epidemic Model". Applied Computational Intelligence and Soft Computing 2023 (2 de febrero de 2023): 1–16. http://dx.doi.org/10.1155/2023/6973734.
Texto completoSong, Yongmei y Xuelian Jiao. "A Real-Time Tourism Route Recommendation System Based on Multitime Scale Constraints". Mobile Information Systems 2023 (26 de abril de 2023): 1–10. http://dx.doi.org/10.1155/2023/4586047.
Texto completoKrivtsov, Serhii, Ievgen Meniailov, Kseniia Bazilevych y Dmytro Chumachenko. "Predictive model of COVID-19 epidemic process based on neural network". Radioelectronic and Computer Systems, n.º 4 (29 de noviembre de 2022): 7–18. http://dx.doi.org/10.32620/reks.2022.4.01.
Texto completoHuang, Xun C. y Minaya Villasana. "An extension of the Kermack–McKendrick model for AIDS epidemic". Journal of the Franklin Institute 342, n.º 4 (julio de 2005): 341–51. http://dx.doi.org/10.1016/j.jfranklin.2004.11.008.
Texto completoMohammadi, Alireza, Ievgen Meniailov, Kseniia Bazilevych, Sergey Yakovlev y Dmytro Chumachenko. "Comparative study of linear regression and SIR models of COVID-19 propagation in Ukraine before vaccination". RADIOELECTRONIC AND COMPUTER SYSTEMS, n.º 3 (5 de octubre de 2021): 5–18. http://dx.doi.org/10.32620/reks.2021.3.01.
Texto completoXiang, Nan, Xiao Tang, Huiling Liu y Xiaoxia Ma. "SELHR: A Novel Epidemic-Based Model for Information Propagation in Complex Networks". Mobile Information Systems 2022 (12 de octubre de 2022): 1–17. http://dx.doi.org/10.1155/2022/5016274.
Texto completoXu, Zhongpu, Yu Wang, Naiqi Wu y Xinchu Fu. "Propagation Dynamics of a Periodic Epidemic Model on Weighted Interconnected Networks". IEEE Transactions on Network Science and Engineering 7, n.º 3 (1 de julio de 2020): 1545–56. http://dx.doi.org/10.1109/tnse.2019.2939074.
Texto completoPrasse, Bastian y Piet Van Mieghem. "The Viral State Dynamics of the Discrete-Time NIMFA Epidemic Model". IEEE Transactions on Network Science and Engineering 7, n.º 3 (1 de julio de 2020): 1667–74. http://dx.doi.org/10.1109/tnse.2019.2946592.
Texto completoAngali, Adel, Musa Mojarad y Hassan Arfaeinia. "ILSHR Rumor Spreading Model by Combining SIHR and ILSR Models in Complex Networks". International Journal of Intelligent Systems and Applications 13, n.º 6 (8 de diciembre de 2021): 51–59. http://dx.doi.org/10.5815/ijisa.2021.06.05.
Texto completoMasood, Zaheer, Raza Samar y Muhammad Asif Zahoor Raja. "Design of fractional order epidemic model for future generation tiny hardware implants". Future Generation Computer Systems 106 (mayo de 2020): 43–54. http://dx.doi.org/10.1016/j.future.2019.12.053.
Texto completoFeng, Tao, Zhipeng Qiu y Yi Song. "Global analysis of a vector-host epidemic model in stochastic environments". Journal of the Franklin Institute 356, n.º 5 (marzo de 2019): 2885–900. http://dx.doi.org/10.1016/j.jfranklin.2019.01.033.
Texto completoChumachenko, Dmytro, Pavlo Pyrohov, Ievgen Meniailov y Tetyana Chumachenko. "Impact of war on COVID-19 pandemic in Ukraine: the simulation study". RADIOELECTRONIC AND COMPUTER SYSTEMS, n.º 2 (18 de mayo de 2022): 6–23. http://dx.doi.org/10.32620/reks.2022.2.01.
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