Добірка наукової літератури з теми "Scant data"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Scant data".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Scant data"
O'Brien, Claire. "Scant Data Cause Widespread Concern." Science 271, no. 5257 (March 29, 1996): 1798. http://dx.doi.org/10.1126/science.271.5257.1798-a.
Повний текст джерелаJang, Mingyu, Geunbae Kim, Dongyeong Kim, and Dongweon Yoon. "Blind Interleaver Parameter Estimation From Scant Data." IEEE Access 8 (2020): 217282–89. http://dx.doi.org/10.1109/access.2020.3041795.
Повний текст джерелаMOON, MARY ANN. "Device Approvals Often Based on Scant Data." Family Practice News 40, no. 2 (February 2010): 12. http://dx.doi.org/10.1016/s0300-7073(10)70109-2.
Повний текст джерелаAnsell, Judith. "Inter-assessor variability: scant data proves the point." Developmental Medicine & Child Neurology 58, no. 2 (January 21, 2016): 111. http://dx.doi.org/10.1111/dmcn.13023.
Повний текст джерелаO'Brien, C. "Mad Cow Disease: Scant Data Cause Widespread Concern." Science 271, no. 5257 (March 29, 1996): 1798–0. http://dx.doi.org/10.1126/science.271.5257.1798.
Повний текст джерелаO'Brien, C. "Mad Cow Disease: Scant Data Cause Widespread Concern." Science 271, no. 5257 (March 29, 1996): 1798a—1798. http://dx.doi.org/10.1126/science.271.5257.1798a.
Повний текст джерелаEVANS, JEFF. "Data Scant on Tx for Young Opioid Abusers." Clinical Psychiatry News 34, no. 3 (March 2006): 42. http://dx.doi.org/10.1016/s0270-6644(06)71253-x.
Повний текст джерелаMosher, Donald L. "The Self and Masochism: Loose Theory and Scant Data." Contemporary Psychology: A Journal of Reviews 35, no. 6 (June 1990): 550–51. http://dx.doi.org/10.1037/028684.
Повний текст джерелаErikson, Jane. "10-YearReviewof rials Finds Scant Data on Race or Ethnicity." Oncology Times 24, no. 12 (December 2002): 61–62. http://dx.doi.org/10.1097/01.cot.0000289352.10983.4a.
Повний текст джерелаAlves, Davi Mello Cunha Crescente, Anderson Aires Eduardo, Eduardo Vinícius da Silva Oliveira, Fabricio Villalobos, Ricardo Dobrovolski, Taiguã Corrêa Pereira, Adauto de Souza Ribeiro, et al. "Unveiling geographical gradients of species richness from scant occurrence data." Global Ecology and Biogeography 29, no. 4 (January 9, 2020): 748–59. http://dx.doi.org/10.1111/geb.13055.
Повний текст джерелаДисертації з теми "Scant data"
Corbin, Max. "Surface fitting head scan data sets." Ohio : Ohio University, 1999. http://www.ohiolink.edu/etd/view.cgi?ohiou1175886726.
Повний текст джерелаFontanarava, Julien. "Signal Extraction from Scans of Electrocardiograms." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-248430.
Повний текст джерелаI detta examensarbete föreslår vi en Deep Learning-metod för fullständig automatiserad digitalisering av EKG-grafer. Vi utför digitaliseringen av EKG-graferna i tre steg: layoutdetektering, kolumnvis signalsegmentering och slutligen signalhämtning. Var och en av dem utförs av ett faltningsnätverk. Dessa nätverk är inspirerade av nätverk som används för objektdetektering och pixelvis segmentering. Vi tränar varje nätverk på syntetiska bilder som återspeglar utmaningarna i den verkliga datan. Användningen av dessa realistiska syntetiska bilder syftar till att göra våra modeller robusta mot variationer av EKG-graferna i den riktiga världen. Jämfört med riktmärkning från datorseende visar våra nätverk lovande resultat. Vårt signalhämtningsnätverk överträffar avsevärt vår implementering av riktmärket. Vår kolumnsegmenteringsmodell visar robusthet mot överlappande signaler, en fråga om signalsegmentering som metoder i datorseende inte kan hantera. Sammantaget ger denna helautomatiska pipeline en förbättring i tid och precision för läkare som är villiga att digitalisera sina EKG-databaser.
Agirnas, Emre. "Multi-scan Data Association Algorithm For Multitarget Tracking." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/2/12605646/index.pdf.
Повний текст джерелаs performance is better than that of JPDA method. Moreover, a survey over target tracking literature is presented including basics of multitarget tracking systems and existing data association methods.
Le, Bas Timothy P. "Processing techniques for TOBI side-scan sonar data." Thesis, University of Reading, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360112.
Повний текст джерелаKhoodoruth, B. Dhalila S. Y. "Detection, classification and visualization of CT Scan data." Pau, 2009. http://www.theses.fr/2009PAUU3001.
Повний текст джерелаThe dissertation include the detection, classification and visualization of brain trauma lesions from Computed Tomography. Various geometrical methods have been studied such as hybrid, feature extraction, level sets, watershed and region growing which are analyzed based upon their methodological aspects and their constraints evaluations. The pixel intensities, gradient magnitude, affinity map and catchment basins of these methods are validated based upon various ranges of constraints evaluations for which we have found out and contributed. We have also contributed for the deduction of the most appropriate method of detection for specific feature in the trauma lesions. We contribute a new methodology for the featurebased contour extraction of the lesion available that uses bilateral filtering, anisotropic diffusion properties, watershed and mathematical morphology operators based mainly on the gradient function. The gradient of the gray level values of watershed pixels are transformed after flooding and substituted by the gradient magnitude of the diffusion anisotropy. The evaluations of the classification of these lesions are undertaken by pattern recognition. We propose to classify these traumatic brain injuries from CT scans by pattern recognition. The k-means and the Markov random field algorithms have been implemented and experimented for each feature of the various lesions. Entropies of these CT scans have been calculated to get an optimized statistical evaluation for each feature lesion such as brain atropy, subdural hygroma, subdural haematoma, extracranial haematoma and nonhaemorraghic contusion. These methods are compared to assess their performance and statistical accuracy with respect to the featurebased lesion sets. These featurebased lesion sets are analyzed and evaluated statistically from the intensity to the pixel values and estimated calculated volumes. The numerical interpretations of each specific feature enables a proper assessment of the evolutionary stages of the featurebased lesions. Our last contributions are based mainly on the clinical aspects from these evaluated interpretations of the featurebased lesion sets. Herewith are the future directions of the research work. A multilayer neural work with sparse distributions and switching linear dynamical system for feature detection and classification simultaneously. The second direction is an implementation of a brain atlas of trauma case to typical case through a pixelbased structuring for heterogeneous regrouping of the anatomy and realtime visualization
Tomé, Diego Gomes. "A near-data select scan operator for database systems." reponame:Repositório Institucional da UFPR, 2017. http://hdl.handle.net/1884/53293.
Повний текст джерелаCoorientador : Marco Antonio Zanata Alves
Dissertação (mestrado) - Universidade Federal do Paraná, Setor de Ciências Exatas, Programa de Pós-Graduação em Informática. Defesa: Curitiba, 21/12/2017
Inclui referências : p. 61-64
Resumo: Um dos grandes gargalos em sistemas de bancos de dados focados em leitura consiste em mover dados em torno da hierarquia de memória para serem processados na CPU. O movimento de dados é penalizado pela diferença de desempenho entre o processador e a memória, que é um problema bem conhecido chamado memory wall. O surgimento de memórias inteligentes, como o novo Hybrid Memory Cube (HMC), permitem mitigar o problema do memory wall executando instruções em chips de lógica integrados a uma pilha de DRAMs. Essas memórias possuem potencial para computação de operações de banco de dados direto em memória além do armazenamento de bancos de dados. O objetivo desta dissertação é justamente a execução do operador algébrico de seleção direto em memória para reduzir o movimento de dados através da memória e da hierarquia de cache. O foco na operação de seleção leva em conta o fato que a leitura de colunas a serem filtradas movem grandes quantidades de dados antes de outras operações como junções (ou seja, otimização push-down). Inicialmente, foi avaliada a execução da operação de seleção usando o HMC como uma DRAM comum. Posteriormente, são apresentadas extensões à arquitetura e ao conjunto de instruções do HMC, chamado HMC-Scan, para executar a operação de seleção próximo aos dados no chip lógico do HMC. Em particular, a extensão HMC-Scan tem o objetivo de resolver internamente as dependências de instruções. Contudo, nós observamos que o HMC-Scan requer muita interação entre a CPU e a memória para avaliar a execução de filtros de consultas. Portanto, numa segunda contribuição, apresentamos a extensão arquitetural HIPE-Scan para diminuir esta interação através da técnica de predicação. A predicação suporta a avaliação de predicados direto em memória sem necessidade de decisões da CPU e transforma dependências de controle em dependências de dados (isto é, execução predicada). Nós implementamos a operação de seleção próximo aos dados nas estratégias de execução de consulta orientada a linha/coluna/vetor para a arquitetura x86 e para nas duas extensões HMC-Scan e HIPE-Scan. Nossas simulações mostram uma melhora de desempenho de até 3.7× para HMC-Scan e 5.6× para HIPE-Scan quando executada a consulta 06 do benchmark TPC-H de 1 GB na estratégia de execução orientada a coluna. Palavras-chave: SGBD em Memória, Cubo de Memória Híbrido, Processamento em Memória.
Abstract: A large burden of processing read-mostly databases consists of moving data around the memory hierarchy rather than processing data in the processor. The data movement is penalized by the performance gap between the processor and the memory, which is the well-known problem called memory wall. The emergence of smart memories, as the new Hybrid Memory Cube (HMC), allows mitigating the memory wall problem by executing instructions in logic chips integrated to a stack of DRAMs. These memories can enable not only in-memory databases but also have potential for in-memory computation of database operations. In this dissertation, we focus on the discussion of near-data query processing to reduce data movement through the memory and cache hierarchy. We focus on the select scan database operator, because the scanning of columns moves large amounts of data prior to other operations like joins (i.e., push-down optimization). Initially, we evaluate the execution of the select scan using the HMC as an ordinary DRAM. Then, we introduce extensions to the HMC Instruction Set Architecture (ISA) to execute our near-data select scan operator inside the HMC, called HMC-Scan. In particular, we extend the HMC ISA with HMC-Scan to internally solve instruction dependencies. To support branch-less evaluation of the select scan and transform control-flow dependencies into data-flow dependencies (i.e., predicated execution) we propose another HMC ISA extension called HIPE-Scan. The HIPE-Scan leads to less iteration between processor and HMC during the execution of query filters that depends on in-memory data. We implemented the near-data select scan in the row/column/vector-wise query engines for x86 and two HMC extensions, HMC-Scan and HIPE-Scan achieving performance improvements of up to 3.7× for HMC-Scan and 5.6× for HIPE-Scan when executing the Query-6 from 1 GB TPC-H database on column-wise. Keywords: In-Memory DBMS, Hybrid Memory Cube, Processing-in-Memory.
Seiler, Alexander. "Improved methods in reverse engineering using CMM scan data." Thesis, Nottingham Trent University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239711.
Повний текст джерелаXiao, Yijun. "Segmentation and modelling of whole human body scan data." Thesis, University of Glasgow, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.426616.
Повний текст джерелаZacharia, Nadime. "Compression and decompression of test data for scan-based designs." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0004/MQ44048.pdf.
Повний текст джерелаFang, Haian. "Optimal estimation of head scan data with generalized cross validation." Ohio : Ohio University, 1995. http://www.ohiolink.edu/etd/view.cgi?ohiou1179344603.
Повний текст джерелаКниги з теми "Scant data"
A, Szatmary Steven, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. PSIDD:a post-scan interactive data display system for ultrasonic scans. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1993.
Знайти повний текст джерелаA, Szatmary Steven, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. PSIDD:a post-scan interactive data display system for ultrasonic scans. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1993.
Знайти повний текст джерелаA, Szatmary Steven, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. PSIDD:a post-scan interactive data display system for ultrasonic scans. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1993.
Знайти повний текст джерелаRoth, Don J. PSIDD: a Post-Scan Interactive Data Display System for ultrasonic scans. Cleveland, Ohio: Lewis Research Center, 1993.
Знайти повний текст джерелаJ, Roth Don, and United States. National Aeronautics and Space Administration., eds. PSIDD (II): A protoype post-scan interactive data display system for detailed analysis of ultrasonic scans. [Washington, DC]: National Aeronautics and Space Administration, 1997.
Знайти повний текст джерелаJ, Roth Don, and United States. National Aeronautics and Space Administration., eds. PSIDD (II): A protoype post-scan interactive data display system for detailed analysis of ultrasonic scans. [Washington, DC]: National Aeronautics and Space Administration, 1997.
Знайти повний текст джерелаJ, Roth Don, and United States. National Aeronautics and Space Administration., eds. PSIDD (II): A protoype post-scan interactive data display system for detailed analysis of ultrasonic scans. [Washington, DC]: National Aeronautics and Space Administration, 1997.
Знайти повний текст джерелаA, Studer F., ed. Radar data processing. Letchworth, Hertfordshire, England: Research Studies Press, 1985.
Знайти повний текст джерелаFeng, Lu. Robot pose estimation in unknown environments by matching 2D range scans. Toronto: Dept. of Computer Science, University of Toronto, 1994.
Знайти повний текст джерелаHawthorne, Christopher R. J. Error control for a helical-scan magnetic data storage system. Ottawa: National Library of Canada, 1990.
Знайти повний текст джерелаЧастини книг з теми "Scant data"
Leisering, Lutz. "Social Protection in the Global South: An Ideational and Historical Approach." In One Hundred Years of Social Protection, 3–52. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54959-6_1.
Повний текст джерелаEaton, Sarah Elaine. "Contract Cheating in Canada: A Comprehensive Overview." In Academic Integrity in Canada, 165–87. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-83255-1_8.
Повний текст джерелаMcNeill, Fergus, Phil Crockett Thomas, Lucy Cathcart Frödén, Jo Collinson Scott, Oliver Escobar, and Alison Urie. "Time After Time: Imprisonment, Re-entry and Enduring Temporariness." In Time and Punishment, 171–201. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12108-1_7.
Повний текст джерелаPlattner, Hasso. "Scan-Leistung." In Lehrbuch In-Memory Data Management, 97–101. Wiesbaden: Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-03213-5_14.
Повний текст джерелаPlattner, Hasso. "Scan Performance." In A Course in In-Memory Data Management, 95–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36524-9_14.
Повний текст джерелаPlattner, Hasso. "Scan Performance." In A Course in In-Memory Data Management, 97–101. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55270-0_14.
Повний текст джерелаSparks, Ross, and Cecile Paris. "The Scan Statistic for Multidimensional Data and Social Media Applications." In Handbook of Scan Statistics, 1–24. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4614-8414-1_46-1.
Повний текст джерелаAssunção, Renato M., Roberto C. S. N. P. Souza, and Marcos O. Prates. "New Frontiers for Scan Statistics: Network, Trajectory, and Text Data." In Handbook of Scan Statistics, 1–24. New York, NY: Springer New York, 2020. http://dx.doi.org/10.1007/978-1-4614-8414-1_47-1.
Повний текст джерелаChen, Jie, and Joseph Glaz. "Scan Statistics for Detecting a Local Change in Mean for Normal Data." In Handbook of Scan Statistics, 1–26. New York, NY: Springer New York, 2021. http://dx.doi.org/10.1007/978-1-4614-8414-1_21-1.
Повний текст джерелаDuygan, Mert, Aya Kachi, Fintan Oeri, Thiago D. Oliveira, and Adrian Rinscheid. "A Survey of Stakeholders’ Views and Practices." In Swiss Energy Governance, 369–94. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80787-0_15.
Повний текст джерелаТези доповідей конференцій з теми "Scant data"
Singh, Devendra, Dinesh C. Dobhal, Saurabh Pargaien, Amrita Verma Pargaien, Janmejay Pant, and Himanshu Pant. "A Deep Learning Approach to Analyze Diabetic Retinopathy Lesions using Scant Data." In 2022 International Conference on Automation, Computing and Renewable Systems (ICACRS). IEEE, 2022. http://dx.doi.org/10.1109/icacrs55517.2022.10029018.
Повний текст джерелаFernandez, Oscar, Lorraine Yearron, Raj M. Damodaran, Khalid Abdulrahman Alserkal, and Radhakrishnan Karantharath. "In The Rain With No Umbrella: How To Model With Scant Fracture Data." In SPE/EAGE Reservoir Characterization and Simulation Conference. Society of Petroleum Engineers, 2009. http://dx.doi.org/10.2118/125514-ms.
Повний текст джерелаFernandez, O., L. M. Yearron, R. M. Damodaran, R. Karantharath, and K. Alserkal. "In The Rain With No Umbrella: How To Model With Scant Fracture Data." In SPE/EAGE Reservoir Characterization & Simulation Conference. European Association of Geoscientists & Engineers, 2009. http://dx.doi.org/10.3997/2214-4609-pdb.170.spe125514.
Повний текст джерелаMishra, V., F. Yang, and R. Pitchumani. "Electrical Contact Resistance Between Gas Diffusion Layers and Bipolar Plates for Applications to PEM Fuel Cells." In ASME 2004 2nd International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2004. http://dx.doi.org/10.1115/fuelcell2004-2529.
Повний текст джерелаCarruthers, Christopher A., Bryan Good, Antonio D’Amore, Jun Liao, Rouzbeh Amini, Simon C. Watkins, and Michael S. Sacks. "Alterations in the Microstructure of the Anterior Mitral Valve Leaflet Under Physiological Stress." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80820.
Повний текст джерелаCarruthers, Christopher A., Bryan Good, Antonio D’Amore, Rouzbeh Amini, Joseph H. Gorman, and Michael S. Sacks. "Physiological Micromechanics of the Anterior Mitral Valve Leaflet." In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53637.
Повний текст джерелаAsapana, Srikanth, Prasanta K. Sahoo, and Vaibhav Aribenchi. "Resistance Predictions for Asymmetrical Configurations of High-Speed Catamaran Hull Forms." In SNAME 5th World Maritime Technology Conference. SNAME, 2015. http://dx.doi.org/10.5957/wmtc-2015-276.
Повний текст джерелаJardine, Fiona. "When online support groups prevail: the information experience of chest/breastfeeders who only express their milk." In ISIC: the Information Behaviour Conference. University of Borås, Borås, Sweden, 2020. http://dx.doi.org/10.47989/irisic2013.
Повний текст джерелаWright, Angela Siobhan. "The Challenge of Research Supervision: The Experience of Lecturers in Various Academic Disciplines." In Sixth International Conference on Higher Education Advances. Valencia: Universitat Politècnica de València, 2020. http://dx.doi.org/10.4995/head20.2020.11234.
Повний текст джерелаPetsche, Steven, Peter Pinsky, Dimitri Chernyak, and Jaime Martiz. "Depth Dependent In-Plane Shear Properties of the Corneal Stroma." In ASME 2010 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2010. http://dx.doi.org/10.1115/sbc2010-19302.
Повний текст джерелаЗвіти організацій з теми "Scant data"
Jeong, Stephen, Sarah Stawiski, Sol Bukin, and Heather Champion. Stemming the Great Resignation through Leadership Development. Center for Creative Leadership, 2022. http://dx.doi.org/10.35613/ccl.2022.2051.
Повний текст джерелаBeoku-Betts, Iman, and Tom Kaye. EdTech Horizon Scan: Blockchain technology in education. EdTech Hub, July 2022. http://dx.doi.org/10.53832/edtechhub.0101.
Повний текст джерелаNurre, Joseph H. Automate Information Extraction from Scan Data. Fort Belvoir, VA: Defense Technical Information Center, November 1998. http://dx.doi.org/10.21236/ada362095.
Повний текст джерелаHurd, Steven A. Path Scan Operational Data-Based Test Report. Office of Scientific and Technical Information (OSTI), February 2015. http://dx.doi.org/10.2172/1170516.
Повний текст джерелаWright, E. Federal environmental scan of geospatial building data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2019. http://dx.doi.org/10.4095/314732.
Повний текст джерелаMcDonnell, Michael. Scan-Line Methods in Spatial Data Systems. Fort Belvoir, VA: Defense Technical Information Center, September 1990. http://dx.doi.org/10.21236/ada231165.
Повний текст джерелаBercovier, Herve, and Paul Frelier. Pathogenic Streptococcus in Tilapia: Rapid Diagnosis, Epidemiology and Pathophysiology. United States Department of Agriculture, October 1994. http://dx.doi.org/10.32747/1994.7568776.bard.
Повний текст джерелаBradtmiller, Bruce. Automating Information Extraction from 3-D Scan Data. Fort Belvoir, VA: Defense Technical Information Center, October 1998. http://dx.doi.org/10.21236/ada361314.
Повний текст джерелаMcLean, Michael L., Newsom Sr., and Benjamin. Extractions of Garment Manufacturing Data from 3D Whole Body Scans. Fort Belvoir, VA: Defense Technical Information Center, February 1998. http://dx.doi.org/10.21236/ada347501.
Повний текст джерелаZevenhuizen, J., and S. Solomon. Side scan sonar data interpretation, 1991, Beaufort Sea coastal survey. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1995. http://dx.doi.org/10.4095/195127.
Повний текст джерела