Academic literature on the topic 'Swarm virus'

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Journal articles on the topic "Swarm virus"

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Zelinka, Ivan, Swagatam Das, Lubomir Sikora, and Roman Šenkeřík. "Swarm virus - Next-generation virus and antivirus paradigm?" Swarm and Evolutionary Computation 43 (December 2018): 207–24. http://dx.doi.org/10.1016/j.swevo.2018.05.003.

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Kalke, Kiira, Jenni Lehtinen, Jelena Gnjatovic, et al. "Herpes Simplex Virus Type 1 Clinical Isolates Respond to UL29-Targeted siRNA Swarm Treatment Independent of Their Acyclovir Sensitivity." Viruses 12, no. 12 (2020): 1434. http://dx.doi.org/10.3390/v12121434.

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Acyclovir is the drug of choice for the treatment of herpes simplex virus (HSV) infections. Acyclovir-resistant HSV strains may emerge, especially during long-term drug use, and subsequently cause difficult-to-treat exacerbations. Previously, we set up a novel treatment approach, based on enzymatically synthesized pools of siRNAs, or siRNA swarms. These swarms can cover kilobases-long target sequences, reducing the likelihood of resistance to treatment. Swarms targeting the UL29 essential gene of HSV-1 have demonstrated high efficacy against HSV-1 in vitro and in vivo. Here, we assessed the an
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Caldwell, Haley S., Erica Lasek-Nesselquist, Paisley Follano, Laura D. Kramer, and Alexander T. Ciota. "Divergent Mutational Landscapes of Consensus and Minority Genotypes of West Nile Virus Demonstrate Host and Gene-Specific Evolutionary Pressures." Genes 11, no. 11 (2020): 1299. http://dx.doi.org/10.3390/genes11111299.

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Our current understanding of the natural evolution of RNA viruses comes largely from consensus level genetic analyses which ignore the diverse mutant swarms that comprise within-host viral populations. The breadth and composition of viral mutant swarms impact viral fitness and adaptation, and the capacity for swarm plasticity is likely to be particularly important for arthropod-borne viruses (arboviruses) that cycle between taxonomically divergent hosts. Despite this, characterization of the relationship between the selective pressures and genetic signatures of the mutant swarm and consensus s
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Thanh, Cong Truong, Plucar Jan, Bao Diep Quoc, and Zelinka Ivan. "X-ware: a proof of concept malware utilizing artificial intelligence." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 2 (2022): 1937–44. https://doi.org/10.11591/ijece.v12i2.pp1937-1944.

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Recent years have witnessed a dramatic growth in utilizing computational intelligence techniques for various domains. Coherently, malicious actors are expected to utilize these techniques against current security solutions. Despite the importance of these new potential threats, there remains a paucity of evidence on leveraging these research literature techniques. This article investigates the possibility of combining artificial neural networks and swarm intelligence to generate a new type of malware. We successfully created a proof of concept malware named X-ware, which we tested against the
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Rahmalia, Dinita, Arif Rohmatullah, and Mohammad Syaiful Pradana. "Estimasi Parameter Super Pairwise Alignment pada Kombinasi Virus Dengue Menggunakan Particle Swarm Optimization." Techno.Com 18, no. 3 (2019): 264–74. http://dx.doi.org/10.33633/tc.v18i3.2528.

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Di Indonesia terdapat empat jenis virus dengue atau demam berdarah. Untuk melihat tingkat kesamaan (similarity) antara dua sekuens virus, dibutuhkan proses pensejajaran pada sekuens virus. Metode yang digunakan untuk pensejajaran pada dua sekuens virus adalah Super Pairwise Alignment (SPA). Nilai fungsi objective pada SPA adalah nilai penalty antara dua sekuens virus. Karena nilai fungsi objective tergantung pada parameter SPA, maka pada penelitian ini nilai parameter SPA akan diestimasi menggunakan metode heuristik seperti Particle Swarm Optimization (PSO). Simulasi diterapkan pada enam kombi
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Ciota, Alexander T., Dylan J. Ehrbar, Greta A. Van Slyke, Graham G. Willsey, and Laura D. Kramer. "Cooperative interactions in the West Nile virus mutant swarm." BMC Evolutionary Biology 12, no. 1 (2012): 58. http://dx.doi.org/10.1186/1471-2148-12-58.

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Husniah, Hilda Farida, and Toni Arifin. "Implementasi Algoritma Naïve Bayes Berbasis Particle Swarm Optimization Untuk Memprediksi Penyakit Hepatitis." Jurnal Ilmu Komputer 14, no. 1 (2021): 36. http://dx.doi.org/10.24843/jik.2021.v14.i01.p05.

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Penyakit Hepatitis merupakan penyakit peradangan pada sel-sel hati, yang disebabkan oleh infeksi (virus, bakteri, parasite), obat-obatan (termasuk obat tradisional), mengkonsumsi alkohol, lemak yang berlebihan dan penyakit autoimmune. Penyebab terjadinya Hepatitis adalah sering disebabkan oleh Virus Hepatitis B dan C. Prevalensi Hepatitis di Indonesia pada tahun 2013 sebesar 1,2% meningkat dua kali dibandingkan Riskesdas tahun 2007 yang sebesar 0,6%. Nusa Tenggara Timur merupakan provinsi dengan prevalensi Hepatitis tertinggi pada tahun 2013 yaitu sebesar 4,3%. Para peneliti berusaha membuat t
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Sahara, Sucitra, Rizqi Agung Permana, and Hariyanto Hariyanto. "Particle Swarm Optimization pada Analisa Review Software Antivirus Menggunakan Metode K-Nearest Neighbors." INFORMATICS FOR EDUCATORS AND PROFESSIONAL : Journal of Informatics 4, no. 2 (2020): 123. http://dx.doi.org/10.51211/itbi.v4i2.1313.

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Abstrak: Virus pada komputer menjadi hal yang membahayakan bagi para pengguna komputer perorangan maupun perusahaan yang telah menerapkan sistem terkomputerisasi. Virus program yang didesain untuk tujuan jahat dapat merusak bagian tertentu dari komputer, bahkan yang paling merugikan adalah dapat merusak data penting pada perusahaan. Dalam hal ini maka diciptakanlah sebuah software anti virus, perkembangan anti virus selalu lebih lambat dari virus itu sendiri, sehingga peneliti akan mengadakan penyeleksian software anti virus pada suatu opini atau berdasarkan komentar masyarakat yang telah meng
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Halim, Abdul, and Andri Safuwan. "ANALISIS SENTIMEN OPINI WARGANET TWITTER TERHADAP TES SCREENING GENOSE PENDETEKSI VIRUS COVID-19 MENGGUNAKAN METODE NAÏVE BAYES BERBASIS PARTICLE SWARM OPTIMIZATION." Jurnal Informatika Teknologi dan Sains 5, no. 1 (2023): 170–78. http://dx.doi.org/10.51401/jinteks.v5i1.2229.

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Munculnya pandemi COVID-19 mengakibatkan masyarakat harus selalu memeriksakan kesehatannya, terutama dalam menentukan gejala awal seseorang terpapar virus COVID-19 itu sendiri. Pada penelitian ini dilakukan analisis sentimen tweet masyarakat terkait screening genose test sebagai alat deteksi dini virus covid-19 dengan mengklasifikasikan respon yang mengandung sentimen positif dan negatif melalui jejaring sosial Twitter. Metode yang digunakan dalam penelitian ini adalah Nave Bayes Based Particle Swarm Optimization. Dengan proses crawling data dari twitter menggunakan RapidMiner. Preprocessing d
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Ghorbani, Amir, John M. Ngunjiri, and Chang-Won Lee. "Influenza A Virus Subpopulations and Their Implication in Pathogenesis and Vaccine Development." Annual Review of Animal Biosciences 8, no. 1 (2020): 247–67. http://dx.doi.org/10.1146/annurev-animal-021419-083756.

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The concept of influenza A virus (IAV) subpopulations emerged approximately 75 years ago, when Preben von Magnus described “incomplete” virus particles that interfere with the replication of infectious virus. It is now widely accepted that infectious particles constitute only a minor portion of biologically active IAV subpopulations. The IAV quasispecies is an extremely diverse swarm of biologically and genetically heterogeneous particle subpopulations that collectively influence the evolutionary fitness of the virus. This review summarizes the current knowledge of IAV subpopulations, focusing
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Dissertations / Theses on the topic "Swarm virus"

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Liau, Ying-Shiou, and 廖英修. "Application Differentiated-Particle Swarm Optimization with Virus-Evolutionary for Power Generation Scheduling Considering Daily Emission." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/72578249365611456720.

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碩士<br>國立雲林科技大學<br>電機工程系<br>102<br>This thesis investigates the problem that dispatches the power generation to achieve the lowest fuel cost, and the constraints must be satisfied. Because of the development and the improvement of industry in this century, the demand of electrical energy increases year by year. Most countries develop renewable energy because the source in the earth is limited. The renewable energy not only reduces the cost of thermal power generation but also reduces the pollution that exhaust gas causes. Thus, this thesis considers the hydropower, wind power and solar power in
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Books on the topic "Swarm virus"

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Sincavage, Dr Suzanne, Dr Hans C. Mumm, Wayne Lonstein, et al. DRONE DELIVERY OF CBNRECy – DEW WEAPONS Emerging Threats of Mini-Weapons of Mass Destruction and Disruption ( WMDD). Edited by Randall K. Nichols. New Prairie Press Open Book Publishing, 2022.

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Book chapters on the topic "Swarm virus"

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Truong, Thanh Cong, Ivan Zelinka, and Roman Senkerik. "Neural Swarm Virus." In Communications in Computer and Information Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37838-7_12.

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Gao, Fang, Hongwei Liu, Qiang Zhao, and Gang Cui. "Virus-Evolutionary Particle Swarm Optimization Algorithm." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11881223_20.

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Sikora, Lubomir, and Ivan Zelinka. "Swarm Virus, Evolution, Behavior and Networking." In Emergence, Complexity and Computation. Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-55663-4_11.

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Ismail, Fatma Helmy, Ahmed Fouad Ali, Saleh Esmat, and Aboul Ella Hassanien. "Newcastle Disease Virus Clustering Based on Swarm Rapid Centroid Estimation." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27400-3_32.

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Wang, Wei, Pengtao Zhang, and Ying Tan. "An Immune Concentration Based Virus Detection Approach Using Particle Swarm Optimization." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13495-1_43.

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Marghany, Maged. "Exploring the Origins of the COVID-19 Virus in Wuhan City using Quantum Particle Swarm Optimization." In Advanced Remote Sensing Technology for Covid-19 Monitoring and Forecasting. CRC Press, 2025. https://doi.org/10.1201/9781003351009-8.

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Nowak, Martin A., and Robert M. May. "Introduction: Viruses, Immunity, Equations." In Virus dynamics. Oxford University PressOxford, 2000. http://dx.doi.org/10.1093/oso/9780198504184.003.0001.

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Abstract Viruses populate the world between the living and the non-living. They themselves are not capable of reproduction, but if put into the right environment they can manipulate a cell to generate numerous copies of themselves. ‘Reproduce me!’ is the essence of the virus, the message that the viral genome carries into the headquarter of a cell--the nucleus. The viral genome manages to attract the attention of the workers in the cell, which are the various enzymes capable of copying and interpreting genetic information. These workers will read the viral message and follow its instruction; t
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Klenerman, Paul, K. J. M. Jeffery, and J. Collier. "Hepatitis C." In Oxford Textbook of Medicine. Oxford University Press, 2010. http://dx.doi.org/10.1093/med/9780199204854.003.070522_update_002.

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Hepatitis C virus (HCV) is an RNA virus that has evolved into multiple genotypes (1–6) and subtypes. Humans are the only known natural host. HCV replication is highly error-prone, hence within any one person the virus exists as a swarm of closely related variants, known as ‘quasispecies’....
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Mohanty, Arup Kumar, Sipra Sahoo, Apurv Taunk, Mamata Garnayak, and Subhashree Choudhury. "Prediction of COVID-19 Active, Recovered, and Death Cases Using Artificial Neural Network and Grey Wolf Optimization." In Advances in Healthcare Information Systems and Administration. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-4580-8.ch010.

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The 2019 novel corona virus was declared a global pandemic by the World Health Organization (WHO) on March 11th, 2020. The world is stressed out because of this disease's high infectiousness and transmission mode. A predictive model of the COVID-19 outbreak is developed for India using state-of-the-art neural network models. The chapter evaluates the key features to predict the patterns, potential infection rate, and death of the present COVID-19 outbreak in India. In this chapter, machine learning methods such as artificial neural network (ANN) optimized by a bio-inspired optimization algorit
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"The Playful Virus:." In Swarms, Viral Writing, and the Local. University of Pittsburgh Press, 2025. https://doi.org/10.2307/jj.17102081.11.

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Conference papers on the topic "Swarm virus"

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Akhand, M. A. H., Sk Imran Hossain, Md Fosil Habib, and Kazuyuki Murase. "Restriction site placement in virus genomes using Particle Swarm Optimization." In 2016 International Conference on Medical Engineering, Health Informatics and Technology (MediTec). IEEE, 2016. http://dx.doi.org/10.1109/meditec.2016.7835367.

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Ji, Chang-ming, Wei Xie, Shan Yu, and Xin-liang Zhu. "Application of virus particle swarm optimization algorithm in economic operation of hydropower station." In 2010 Sixth International Conference on Natural Computation (ICNC). IEEE, 2010. http://dx.doi.org/10.1109/icnc.2010.5583091.

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