Literatura académica sobre el tema "CIA machinery"
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Artículos de revistas sobre el tema "CIA machinery"
Tsaousis, Anastasios D., Eleni Gentekaki, Laura Eme, Daniel Gaston y Andrew J. Roger. "Evolution of the Cytosolic Iron-Sulfur Cluster Assembly Machinery in Blastocystis Species and Other Microbial Eukaryotes". Eukaryotic Cell 13, n.º 1 (15 de noviembre de 2013): 143–53. http://dx.doi.org/10.1128/ec.00158-13.
Texto completoSeki, Mineaki, Yukiko Takeda, Kazuhiro Iwai y Kiyoji Tanaka. "IOP1 Protein Is an External Component of the Human Cytosolic Iron-Sulfur Cluster Assembly (CIA) Machinery and Functions in the MMS19 Protein-dependent CIA Pathway". Journal of Biological Chemistry 288, n.º 23 (12 de abril de 2013): 16680–89. http://dx.doi.org/10.1074/jbc.m112.416602.
Texto completoBalk, Janneke, Daili J. Aguilar Netz, Katharina Tepper, Antonio J. Pierik y Roland Lill. "The Essential WD40 Protein Cia1 Is Involved in a Late Step of Cytosolic and Nuclear Iron-Sulfur Protein Assembly". Molecular and Cellular Biology 25, n.º 24 (15 de diciembre de 2005): 10833–41. http://dx.doi.org/10.1128/mcb.25.24.10833-10841.2005.
Texto completoGomez-Casati, Diego F., Maria V. Busi, Julieta Barchiesi, Maria A. Pagani, Noelia S. Marchetti-Acosta y Agustina Terenzi. "Fe-S Protein Synthesis in Green Algae Mitochondria". Plants 10, n.º 2 (21 de enero de 2021): 200. http://dx.doi.org/10.3390/plants10020200.
Texto completoLill, Roland, Rafal Dutkiewicz, Sven A. Freibert, Torsten Heidenreich, Judita Mascarenhas, Daili J. Netz, Viktoria D. Paul et al. "The role of mitochondria and the CIA machinery in the maturation of cytosolic and nuclear iron–sulfur proteins". European Journal of Cell Biology 94, n.º 7-9 (julio de 2015): 280–91. http://dx.doi.org/10.1016/j.ejcb.2015.05.002.
Texto completoStehling, Oliver, Jae-Hun Jeoung, Sven A. Freibert, Viktoria D. Paul, Sebastian Bänfer, Brigitte Niggemeyer, Ralf Rösser, Holger Dobbek y Roland Lill. "Function and crystal structure of the dimeric P-loop ATPase CFD1 coordinating an exposed [4Fe-4S] cluster for transfer to apoproteins". Proceedings of the National Academy of Sciences 115, n.º 39 (10 de septiembre de 2018): E9085—E9094. http://dx.doi.org/10.1073/pnas.1807762115.
Texto completoChen, Ya-qin, Xin-guang Liu, Wei Zhao, Hongjing Cui, Jie Ruan, Yuan Yuan y Zhiguang Tu. "MET18 Deficiency Increases the Sensitivity of Yeast to Oxidative Stress and Shortens Replicative Lifespan by Inhibiting Catalase Activity". BioMed Research International 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/7587395.
Texto completoZheng, Biao, Lei Fang, Qi Zhang, Wen Jiang, Shuhua Han y Jun Qin. "Atg7 is critical for the functional maturation of germinal center B cells (LYM7P.625)". Journal of Immunology 194, n.º 1_Supplement (1 de mayo de 2015): 200.17. http://dx.doi.org/10.4049/jimmunol.194.supp.200.17.
Texto completoDavid, Jacques, Alain Hoffmann y Alain Kavenoky. "Machines disponibles et optimisation du couplage logiciel-machine au CEA". La Houille Blanche, n.º 2 (abril de 2001): 30–32. http://dx.doi.org/10.1051/lhb/2001019.
Texto completoSayapin, S. N. y E. V. Nikolaev. "Technical and environmental safety of machines". Sel'skohozjajstvennaja tehnika: obsluzhivanie i remont (Agricultural Machinery: Service and Repair), n.º 5 (1 de mayo de 2020): 25–28. http://dx.doi.org/10.33920/sel-10-2005-04.
Texto completoTesis sobre el tema "CIA machinery"
Ridley, G. K. "Application of EL CID to salient-pole electrical machines". Thesis, University of Warwick, 2017. http://wrap.warwick.ac.uk/107783/.
Texto completoMcKellar, Cindy. "Dataselektering en –manipulering vir statistiese Engels–Afrikaanse masjienvertaling / McKellar C.A". Thesis, North-West University, 2011. http://hdl.handle.net/10394/7626.
Texto completoThesis (M.A. (Applied Language and Literary Studies))--North-West University, Potchefstroom Campus, 2011.
Alhussainy, Amel Tuama. "Forensic Source Camera Identification by Using Features in Machine Learning Approach". Thesis, Montpellier, 2016. http://www.theses.fr/2016MONTS024/document.
Texto completoSource camera identification has recently received a wide attention due to its importantrole in security and legal issue. The problem of establishing the origin ofdigital media obtained through an imaging device is important whenever digitalcontent is presented and is used as evidence in the court. Source camera identification is the process of determining which camera device or model has been used to capture an image.Our first contribution for digital camera model identification is based on the extractionof three sets of features in a machine learning scheme. These featuresare the co-occurrences matrix, some features related to CFA interpolation arrangement,and conditional probability statistics computed in the JPEG domain.These features give high order statistics which supplement and enhance the identification rate. The experiments prove the strength of our proposition since it achieves higher accuracy than the correlation-based method.The second contribution is based on using the deep convolutional neural networks(CNNs). Unlike traditional methods, CNNs can automatically and simultaneouslyextract features and learn to classify during the learning process. A layer ofpreprocessing is added to the CNN model, and consists of a high pass filter which isapplied to the input image. The obtained CNN gives very good performance for avery small learning complexity. Experimental comparison with a classical two stepsmachine learning approach shows that the proposed method can achieve significantdetection performance. The well known object recognition CNN models, AlexNetand GoogleNet, are also examined
Deaney, Mogammat Waleed. "A Comparison of Machine Learning Techniques for Facial Expression Recognition". University of the Western Cape, 2018. http://hdl.handle.net/11394/6412.
Texto completoA machine translation system that can convert South African Sign Language (SASL) video to audio or text and vice versa would be bene cial to people who use SASL to communicate. Five fundamental parameters are associated with sign language gestures, these are: hand location; hand orientation; hand shape; hand movement and facial expressions. The aim of this research is to recognise facial expressions and to compare both feature descriptors and machine learning techniques. This research used the Design Science Research (DSR) methodology. A DSR artefact was built which consisted of two phases. The rst phase compared local binary patterns (LBP), compound local binary patterns (CLBP) and histogram of oriented gradients (HOG) using support vector machines (SVM). The second phase compared the SVM to arti cial neural networks (ANN) and random forests (RF) using the most promising feature descriptor|HOG|from the rst phase. The performance was evaluated in terms of accuracy, robustness to classes, robustness to subjects and ability to generalise on both the Binghamton University 3D facial expression (BU-3DFE) and Cohn Kanade (CK) datasets. The evaluation rst phase showed HOG to be the best feature descriptor followed by CLBP and LBP. The second showed ANN to be the best choice of machine learning technique closely followed by the SVM and RF.
Talevi, Luca. "Sviluppo e test di un sistema BCI SSVEP-based". Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11636/.
Texto completoKvapilová, Beáta. "Stavebně technologický projekt Regionálního centra pokročilých technologií a materiálů v Olomouci". Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2017. http://www.nusl.cz/ntk/nusl-265728.
Texto completoHubáček, Lukáš. "Stavebně technologický projekt železobetonové monolitické haly". Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2018. http://www.nusl.cz/ntk/nusl-372006.
Texto completoStopka, Peter. "Stavebně technologický projekt výstavby centrální nabíjecí stanice v Púchově". Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2019. http://www.nusl.cz/ntk/nusl-391912.
Texto completoMaršál, Martin. "Elektronický modul pro akustickou detekci". Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-240831.
Texto completoBraga, Ígor Assis. "Aprendizado semissupervisionado multidescrição em classificação de textos". Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-02062010-160019/.
Texto completoSemi-supervised learning algorithms learn from a combination of both labeled and unlabeled data. Thus, they can be applied in domains where few labeled examples and a vast amount of unlabeled examples are available. Furthermore, semi-supervised learning algorithms may achieve a better performance than supervised learning algorithms trained on the same few labeled examples. A powerful approach to semi-supervised learning, called multi-view learning, can be used whenever the training examples are described by two or more disjoint sets of attributes. Text classification is a domain in which semi-supervised learning algorithms have shown some success. However, multi-view semi-supervised learning has not yet been well explored in this domain despite the possibility of describing textual documents in a myriad of ways. The aim of this work is to analyze the effectiveness of multi-view semi-supervised learning in text classification using unigrams and bigrams as two distinct descriptions of text documents. To this end, we initially consider the widely adopted CO-TRAINING multi-view algorithm and propose some modifications to it in order to deal with the problem of contention points. We also propose the COAL algorithm, which further improves CO-TRAINING by incorporating active learning as a way of dealing with contention points. A thorough experimental evaluation of these algorithms was conducted on real text data sets. The results show that the COAL algorithm, using unigrams as one description of text documents and bigrams as another description, achieves significantly better performance than a single-view semi-supervised algorithm. Taking into account the good results obtained by COAL, we conclude that the use of unigrams and bigrams as two distinct descriptions of text documents can be very effective
Libros sobre el tema "CIA machinery"
Zhuan li fu shen he wu xiao shen cha jue ding xuan bian (2005): Cai liao. Beijing Shi: Zhi shi chan quan chu ban she, 2009.
Buscar texto completoCastro's secrets: The CIA and Cuba's intelligence machine. New York: Palgrave Macmillan, 2012.
Buscar texto completoZhongguo pao mei ji cai mei ji shu. Beijing: Mei tan gong ye chu ban she, 2000.
Buscar texto completoEuropäische Gemeinschaften. CIM Europe Commission. Computer Integrated Manufacturing: Einsatz in der mittelständischen Wirtschaft Fachtagung, Saarbrücken, 24.-25. Februar 1988. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988.
Buscar texto completoDian ji yu tuo dong: Electric machinery and electric drives. Beijing: Qing hua da xue chu ban she, 2006.
Buscar texto completoShui ji mo shi yu kang mo shi shui ji cai liao. Beijing Shi: Zhongguo shui li shui dian chu ban she, 2008.
Buscar texto completoNorbert, Lang. Charles E.L. Brown 1863-1924, Walter Boveri 1865-1924: Gründer eines Weltunternehmens. Meilen: Verein für Wirtschaftshistorische Studien Meilen, 1992.
Buscar texto completoChe jian guan li: Che jian zhu ren pei xun jiao cai. Beijing: Ji xie gong ye chu ban she, 1986.
Buscar texto completoZhonghua min guo dui wai mao yi fa zhan xie hui. Chan pin tui guang chu., ed. Faguo gong ju ji shi chang diao cha bao gao. Taibei Shi: Zhonghua min guo dui wai mao yi fa zhan xie hui zi liao gong ying chu, 1985.
Buscar texto completoDampfturbinenkonstruktion bei der Brown Boveri AG & Cie nach dem Zweiten Weltkrieg. Frankfurt am Main: P. Lang, 1993.
Buscar texto completoCapítulos de libros sobre el tema "CIA machinery"
Mackay, D. M. "Machines and Societies". En Ciba Foundation Symposium - Man and His Future, 132–67. Chichester, UK: John Wiley & Sons, Ltd, 2008. http://dx.doi.org/10.1002/9780470715291.ch10.
Texto completoViinikanoja, Jaakko, Arto Klami y Samuel Kaski. "Variational Bayesian Mixture of Robust CCA Models". En Machine Learning and Knowledge Discovery in Databases, 370–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15939-8_24.
Texto completoBuongiorno, Federica. "Reduction in Computer Music". En The Case for Reduction, 175–90. Berlin: ICI Berlin Press, 2022. http://dx.doi.org/10.37050/ci-25_09.
Texto completoTravers, Andrew. "The Subversion of the Bacterial Transcription Machinery During Phage Infection". En Ciba Foundation Symposium - Strategy of the Viral Genome, 155–68. Chichester, UK: John Wiley & Sons, Ltd., 2008. http://dx.doi.org/10.1002/9780470719824.ch9.
Texto completoRevel, Michel, Yoram Groner, Yaakov Pollack, Ruth Scheps y Hanna Berissi. "Protein Synthesis Machinery and the Regulation of Messenger RNA Translation". En Ciba Foundation Symposium 7 - Polymerization in Biological Systems, 69–85. Chichester, UK: John Wiley & Sons, Ltd., 2008. http://dx.doi.org/10.1002/9780470719909.ch5.
Texto completoNikhil, Rishiyur S. "Cid: A parallel, “shared-memory” C for distributed-memory machines". En Languages and Compilers for Parallel Computing, 376–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/bfb0025891.
Texto completoWilkie, D. R. "Muscle as a Thermodynarnic Machine". En Ciba Foundation Symposium 31 - Energy Transformation in Biological Systems, 327–39. Chichester, UK: John Wiley & Sons, Ltd., 2008. http://dx.doi.org/10.1002/9780470720134.ch17.
Texto completoHe, Zhibin, Shu Zhang, Songyao Zhang, Yin Zhang, Xintao Hu, Xi Jiang, Lei Guo, Tianming Liu, Lei Du y Tuo Zhang. "Interwound Structural and Functional Difference Between Preterm and Term Infant Brains Revealed by Multi-view CCA". En Machine Learning in Medical Imaging, 465–73. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59861-7_47.
Texto completoAlberi, Tom, William A. Gilbert, Dagmar Ringe Ponzi y Gregory A. Petsko. "The Role of Mobility in the Substrate Binding and Catalytic Machinery of Enzymes". En Ciba Foundation Symposium 93 - Mobility and Function in Proteins and Nucleic Acids, 4–24. Chichester, UK: John Wiley & Sons, Ltd., 2008. http://dx.doi.org/10.1002/9780470720752.ch2.
Texto completoKrzysztoń, Mateusz, Marcin Lew y Michał Marks. "NAD: Machine Learning Based Component for Unknown Attack Detection in Network Traffic". En Cybersecurity of Digital Service Chains, 83–102. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04036-8_4.
Texto completoActas de conferencias sobre el tema "CIA machinery"
Kiritsis, Dimitris y Paul Xirouchakis. "Deviplan: A Bid Preparation System for Mechanical SMEs". En ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/cie-14640.
Texto completoHegelmann, Rainer. "Nahbereichs-photogrammetrie im CAI-verbund". En Close-Range Photogrammetry Meets Machine Vision. SPIE, 1990. http://dx.doi.org/10.1117/12.2294287.
Texto completoAlam, Md Ashad y Kenji Fukumizu. "Higher-Order Regularized Kernel CCA". En 2013 12th International Conference on Machine Learning and Applications (ICMLA). IEEE, 2013. http://dx.doi.org/10.1109/icmla.2013.76.
Texto completoRidley, G. K. "Pole proximity effect on EL CID results". En Eighth International Conference on Electrical Machines and Drives. IEE, 1997. http://dx.doi.org/10.1049/cp:19971096.
Texto completoRidley, G. K. "Electromagnetic field effects on El CID tests". En Seventh International Conference on Electrical Machines and Drives. IEE, 1995. http://dx.doi.org/10.1049/cp:19950860.
Texto completoSigg, Christian, Bernd Fischer, Bjorn Ommer, Volker Roth y Joachim Buhmann. "Nonnegative CCA for Audiovisual Source Separation". En 2007 IEEE Workshop on Machine Learning for Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/mlsp.2007.4414315.
Texto completoYi, Xianzhong. "Tool Path Planning Algorithm of Normal Curvature Approach Milling Model for Freeform Surfaces". En ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/cie-21297.
Texto completoTian, Xian-Zhi. "Research on CAI English Organizational Instructional Strategy". En 2007 International Conference on Machine Learning and Cybernetics. IEEE, 2007. http://dx.doi.org/10.1109/icmlc.2007.4370880.
Texto completoTripathi, Abhishek, Arto Klami y Sami Virpioja. "Bilingual sentence matching using Kernel CCA". En 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2010. http://dx.doi.org/10.1109/mlsp.2010.5589249.
Texto completoKim, Daehyon, Gwang-Jun Kim y Se-Jung Lim. "Effects of image size reduction and gray level compression in Support Vector Machines". En CIA 2015. Science & Engineering Research Support soCiety, 2015. http://dx.doi.org/10.14257/astl.2015.95.09.
Texto completoInformes sobre el tema "CIA machinery"
Kawano, Toshihiko, Marc Dupuis y Amy Elizabeth Lovell. Summary report on CEA/DAM - CEA/DEN - LANL - IAEA - IPHC Collaboration Meeting on Nuclear Data, Nuclear Reaction Theories, and Machine Learning. Office of Scientific and Technical Information (OSTI), marzo de 2020. http://dx.doi.org/10.2172/1602734.
Texto completoDuersch, Jed, Thomas Catanach y Ming Gu. CIS-LDRD Project 218313 Final Technical Report. Parsimonious Inference Information-Theoretic Foundations for a Complete Theory of Machine Learning. Office of Scientific and Technical Information (OSTI), septiembre de 2020. http://dx.doi.org/10.2172/1668936.
Texto completoBarash, Itamar y Robert E. Rhoads. Translational Mechanisms that Govern Milk Protein Levels and Composition. United States Department of Agriculture, noviembre de 2004. http://dx.doi.org/10.32747/2004.7586474.bard.
Texto completoHarris, L. B., P. Adiban y E. Gloaguen. The role of enigmatic deep crustal and upper mantle structures on Au and magmatic Ni-Cu-PGE-Cr mineralization in the Superior Province. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328984.
Texto completoGalili, Naftali, Roger P. Rohrbach, Itzhak Shmulevich, Yoram Fuchs y Giora Zauberman. Non-Destructive Quality Sensing of High-Value Agricultural Commodities Through Response Analysis. United States Department of Agriculture, octubre de 1994. http://dx.doi.org/10.32747/1994.7570549.bard.
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