Literatura académica sobre el tema "KFDV"
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Artículos de revistas sobre el tema "KFDV"
Kandagalla, Shivananda, Bhimanagoud Kumbar y Jurica Novak. "Structural Modifications Introduced by NS2B Cofactor Binding to the NS3 Protease of the Kyasanur Forest Disease Virus". International Journal of Molecular Sciences 24, n.º 13 (30 de junio de 2023): 10907. http://dx.doi.org/10.3390/ijms241310907.
Texto completoBroeckel, Rebecca M., Friederike Feldmann, Kristin L. McNally, Abhilash I. Chiramel, Gail L. Sturdevant, Jacqueline M. Leung, Patrick W. Hanley et al. "A pigtailed macaque model of Kyasanur Forest disease virus and Alkhurma hemorrhagic disease virus pathogenesis". PLOS Pathogens 17, n.º 12 (2 de diciembre de 2021): e1009678. http://dx.doi.org/10.1371/journal.ppat.1009678.
Texto completoShah, Keerti V., Chandu N. Dandawate y Pravin N. Bhatt. "Kyasanur forest disease virus: viremia and challenge studies in monkeys with evidence of cross-protection by Langat virus infection". F1000Research 1 (7 de diciembre de 2012): 61. http://dx.doi.org/10.12688/f1000research.1-61.v1.
Texto completoBhatia, Bharti, Heinz Feldmann y Andrea Marzi. "Kyasanur Forest Disease and Alkhurma Hemorrhagic Fever Virus—Two Neglected Zoonotic Pathogens". Microorganisms 8, n.º 9 (12 de septiembre de 2020): 1406. http://dx.doi.org/10.3390/microorganisms8091406.
Texto completoBurthe, Sarah J., Stefanie M. Schäfer, Festus A. Asaaga, Natrajan Balakrishnan, Mohammed Mudasssar Chanda, Narayanaswamy Darshan, Subhash L. Hoti et al. "Reviewing the ecological evidence base for management of emerging tropical zoonoses: Kyasanur Forest Disease in India as a case study". PLOS Neglected Tropical Diseases 15, n.º 4 (1 de abril de 2021): e0009243. http://dx.doi.org/10.1371/journal.pntd.0009243.
Texto completoYadav, Pooja, Shashi Sharma, Paban Kumar Dash, Suman Dhankher, Sandhya V. K. y S. K. Kiran. "Dry- down probe free qPCR for detection of KFD in resource limited settings". PLOS ONE 18, n.º 5 (10 de mayo de 2023): e0284559. http://dx.doi.org/10.1371/journal.pone.0284559.
Texto completoCarpio, Kassandra L., Jill K. Thompson, Steven G. Widen, Jennifer K. Smith, Terry L. Juelich, David E. Clements, Alexander N. Freiberg y Alan D. T. Barrett. "Differences in Genetic Diversity of Mammalian Tick-Borne Flaviviruses". Viruses 15, n.º 2 (19 de enero de 2023): 281. http://dx.doi.org/10.3390/v15020281.
Texto completoFlint, Mike, Laura K. McMullan, Kimberly A. Dodd, Brian H. Bird, Marina L. Khristova, Stuart T. Nichol y Christina F. Spiropoulou. "Inhibitors of the Tick-Borne, Hemorrhagic Fever-Associated Flaviviruses". Antimicrobial Agents and Chemotherapy 58, n.º 6 (24 de marzo de 2014): 3206–16. http://dx.doi.org/10.1128/aac.02393-14.
Texto completoDodd, Kimberly A., Brian H. Bird, Marina L. Khristova, César G. Albariño, Serena A. Carroll, James A. Comer, Bobbie R. Erickson, Pierre E. Rollin y Stuart T. Nichol. "Ancient Ancestry of KFDV and AHFV Revealed by Complete Genome Analyses of Viruses Isolated from Ticks and Mammalian Hosts". PLoS Neglected Tropical Diseases 5, n.º 10 (4 de octubre de 2011): e1352. http://dx.doi.org/10.1371/journal.pntd.0001352.
Texto completoThashanamoorthy, G. y S. Ramalingam. "EXPRESSION OF RECOMBINANT ENVELOPE DOMAIN III PROTEIN IN PROKARYOTIC AND EUKARYOTIC HOST SYSTEM FOR THE FOR THE DIAGNOSIS OF KYASANUR FOREST DISEASE VIRUS (KFDV)". International Journal of Infectious Diseases 130 (mayo de 2023): S91. http://dx.doi.org/10.1016/j.ijid.2023.04.226.
Texto completoTesis sobre el tema "KFDV"
羽根, 由紀奈. "<彙報>動的家族画 (KFD) にみられる親子関係についての基礎的研究 : 子どもと母親の描画を通して(平成 9 年度発達臨床学専攻修士学位論文概要)". 名古屋大学教育学部, 1998. http://hdl.handle.net/2237/2928.
Texto completoAbdallah, Fahed. "Noyaux reproduisants et critères de contraste pour l'élaboration de détecteurs à structure imposée". Troyes, 2004. http://www.theses.fr/2004TROY0002.
Texto completoIn this thesis, we consider statistical learning machines with try to infer rules from a given set or observations in order to make correct predictions on unseen examples. Building upon the theory of reproducing kernels, we develop a generalized linear detector in transformed spaces of high dimension, without explicitly doing any calculus in these spaces. The method is based on the optimization of the best second-order criterion with respect to the problem to solve. In fact, theoretical results show that second-order criteria are able, under some mild conditions, to guarantee the best solution in the sense of classical detection theories. Achieving a good generalisation performance with a receiver requires matching its complexity to the amount of available training data. This problem, known as the curse of dimensionality, has been studied theoretically by Vapnik and Chervonenkis. In this dissertation, we propose complexity control procedures in order to improve the performance of these receivers when few training data are available. Simulation results on real and synthetic data show clearly the competitiveness of our approach compared with other state of the art existing kernel methods like Support Vector Machines
BHARDWAJ, SHREYA. "T-CELL AND B-CELL EPITOPE PREDICTION FOR MULTI-EPITOPE PEPTIDE VACCINE AGAINST KYASANUR FOREST DISEASE VIRUS". Thesis, 2023. http://dspace.dtu.ac.in:8080/jspui/handle/repository/20003.
Texto completoMiao, Chuxiong. "A support vector machine model for pipe crack size classification". Master's thesis, 2009. http://hdl.handle.net/10048/400.
Texto completoTitle from pdf file main screen (viewed on July 16, 2009). "A thesis submitted to the Faculty of Graduate Studies and Research in partial fulfillment of the requirements for the degree of Master of Science, Department of Mechanical Engineering, University of Alberta." Includes bibliographical references.
Libros sobre el tema "KFDV"
Korea (South). Sikpʻum Ŭiyakpʻum Anjŏnchʻŏng., ed. KFDA, OECD, FDA, EPA, GLP kyujŏng pigyo. Sŏul Tʻŭkpyŏlsi: Sikpʻum Ŭiyakpʻum Anjŏnchʻŏng, 2005.
Buscar texto completoMitra, Amit. Oxfam support project Uttara Kannada: An evaluation of the first phase of work in support of the KFD/DFID western Ghats Forestry Project. New Delhi: Oxfam (India) Trust, 1997.
Buscar texto completoMahatma Gandhi University (Kottayam, India). School of Social Sciences. An independent evaluation of participatory forest management (PFM): The case of the Vana Samrakshana Samiti-s (VSS) and the Kerala Forest Dept. (KFD). [Kottayam: School of Social Sciences, Mahatma Gandhhi University], 2003.
Buscar texto completoProject, Western Ghats Forestry. Social impact assessment of the Western Ghats Forestry Project (KFD/DFID) in Karnataka with a focus on the JFPM programme: A study report. Bangalore: Outreach, 1998.
Buscar texto completoSchock, Randy. Nelson Wayne Schock Book Four: Remembering KFDI. Independently Published, 2019.
Buscar texto completoKaufman, S. Harvard y Robert C. Burns. Action, Styles, and Symbols in Kinetic Family Drawings Kfd. Taylor & Francis Group, 2013.
Buscar texto completoBurns, Robert C. y S. Harvard Kaufman. Action, Styles, And Symbols In Kinetic Family Drawings Kfd. Routledge, 2013. http://dx.doi.org/10.4324/9780203765531.
Texto completoBurns, Robert C. y S. Harvard Kaufman. Action, Styles, and Symbols in Kinetic Family Drawings Kfd. Taylor & Francis Group, 2013.
Buscar texto completoBurns, Robert C. y S. Harvard Kaufman. Action, Styles, and Symbols in Kinetic Family Drawings Kfd. Taylor & Francis Group, 2013.
Buscar texto completoKaufman, S. Harvard y Robert C. Burns. Action, Styles, and Symbols in Kinetic Family Drawings Kfd. Taylor & Francis Group, 2016.
Buscar texto completoCapítulos de libros sobre el tema "KFDV"
Wang, Guoqiang y Guoqiang Ding. "Face Recognition Using KFDA-LLE". En Advanced Intelligent Computing, 420–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24728-6_57.
Texto completoZhang, Qing y Jianwu Li. "Constructing Sparse KFDA Using Pre-image Reconstruction". En Lecture Notes in Computer Science, 658–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17534-3_81.
Texto completoWang, GuoQiang y ChunLing Gao. "Robust Face Recognition Based on KFDA-LLE and SVM Techniques". En Advances in Computer Science, Environment, Ecoinformatics, and Education, 581–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23321-0_91.
Texto completoZhang, Qing, Jianwu Li y Zhiping Zhang. "Efficient Semantic Kernel-Based Text Classification Using Matching Pursuit KFDA". En Neural Information Processing, 382–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24958-7_45.
Texto completoZhao, Yue y Jinwen Ma. "Kernel Parameter Optimization for KFDA Based on the Maximum Margin Criterion". En Advances in Neural Networks – ISNN 2014, 330–37. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12436-0_37.
Texto completoXu, Yong, Chuancai Liu y Chongyang Zhang. "Determine the Kernel Parameter of KFDA Using a Minimum Search Algorithm". En Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 418–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74205-0_46.
Texto completoBon-Woo, Hwang, Hyeran Byun, Roh Myoung-Cheol y Lee Seong-Whan. "Performance Evaluation of Face Recognition Algorithms on the Asian Face Database, KFDB". En Lecture Notes in Computer Science, 557–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44887-x_66.
Texto completoZou, Jin y Feng Sun. "Face Recognition Using Block-Based DCT and Weighted Generalized KFD". En Advances in Intelligent and Soft Computing, 243–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27866-2_30.
Texto completoZhang, David, Xiao-Yuan Jing y Jian Yang. "Complete Kernal Fisher Discrimination Analysis". En Computational Intelligence and its Applications, 235–57. IGI Global, 2006. http://dx.doi.org/10.4018/978-1-59140-830-7.ch010.
Texto completo"Kyasanur Forest Disease (KFD)". En Lexikon der Infektionskrankheiten des Menschen, 466. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-39026-8_589.
Texto completoActas de conferencias sobre el tema "KFDV"
Cai, Zheng, Fu-Long Wang y Ai-Hui Xu. "A new image distance for KFDA". En 2010 3rd International Congress on Image and Signal Processing (CISP). IEEE, 2010. http://dx.doi.org/10.1109/cisp.2010.5647901.
Texto completoYu-Xin Wei y Mu-Qing Wu. "KFDA-waveletcluster based intrusion detection technology". En 2007 International Conference on Wavelet Analysis and Pattern Recognition. IEEE, 2007. http://dx.doi.org/10.1109/icwapr.2007.4421766.
Texto completoWang, Zhifang, Qiong Li, Xiamu Niu y Christoph Busch. "Multimodal Biometric Recognition Based on Complex KFDA". En 2009 Fifth International Conference on Information Assurance and Security. IEEE, 2009. http://dx.doi.org/10.1109/ias.2009.68.
Texto completoRui-Fan Li, Hong-Wei Hao, Xu-Yan Tu y Cong Wang. "Face recognition using KFD-Isomap". En Proceedings of 2005 International Conference on Machine Learning and Cybernetics. IEEE, 2005. http://dx.doi.org/10.1109/icmlc.2005.1527739.
Texto completoXiuqin Pan, Yongcun Cao, Xiaona Xu, Yong Lu y Yue Zhao. "Ear and face based multimodal recognition based on KFDA". En 2008 International Conference on Audio, Language and Image Processing (ICALIP). IEEE, 2008. http://dx.doi.org/10.1109/icalip.2008.4590072.
Texto completoLuo, De-Jiang. "A KFDA Based on Regularization Method for Multi-classification". En 2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies (EIDWT). IEEE, 2013. http://dx.doi.org/10.1109/eidwt.2013.35.
Texto completoNi, Jian y Libo Liang. "A Gait Recognition Method Based on KFDA and SVM". En 2009 International Workshop on Intelligent Systems and Applications. IEEE, 2009. http://dx.doi.org/10.1109/iwisa.2009.5072621.
Texto completoYucheng Wang y Dongmei Sun. "Feature fusion of palmprint and face based on KFDA". En 2008 9th International Conference on Signal Processing (ICSP 2008). IEEE, 2008. http://dx.doi.org/10.1109/icosp.2008.4697557.
Texto completoLin, Qing, Zheng Liu y Huixia Sun. "A HRRP Recognition Method Based on KFD". En 2006 8th international Conference on Signal Processing. IEEE, 2006. http://dx.doi.org/10.1109/icosp.2006.345836.
Texto completoYongchun Liang, Xiaoyun Sun, Qingrui Liu, Jianpeng Bian y Yanming Li. "Fault Diagnosis Model of Power Transformer Based on Combinatorial KFDA". En 2008 International Conference on Condition Monitoring and Diagnosis, CMD 2008. IEEE, 2008. http://dx.doi.org/10.1109/cmd.2008.4580441.
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