Relevant bibliographies by topics / Semi-automatic analysis

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Semi-automatic analysis'

Author: Grafiati
Published: 10 March 2023

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Journal articles on the topic "Semi-automatic analysis"

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Touron, Patrick, Philippe Malaquin, Dominique Gardebas, and Jean-Pierre Nicolaı̈. "Semi-automatic analysis of fire debris." Forensic Science International 110, no. 1 (May 2000): 7–18. http://dx.doi.org/10.1016/s0379-0738(99)00220-0.

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KREKULE, I., L. KUBINOVA, J. KAMINSKI, and P. KAREN. "Computerized Systems for Semi-Automatic Stereological Analysis." Biomedizinische Technik/Biomedical Engineering 40, s2 (1995): 193–95. http://dx.doi.org/10.1515/bmte.1995.40.s2.193.

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Bartneck, Christoph, and Adrian Clark. "Semi-automatic color analysis for brand logos." Color Research & Application 40, no. 1 (November 4, 2013): 72–84. http://dx.doi.org/10.1002/col.21853.

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Michels, Mariane, Rodrigo Leitão de Assunção, Matheus Lima de Oliveira, Marcela Rodrigues Alves, Maria Augusta Portella Guedes Visconti, and Fábio Ribeiro Guedes. "Automatic cephalometric analysis: is it time to switch to a hands-free method?" Brazilian Journal of Oral Sciences 17 (December 6, 2018): e181095. http://dx.doi.org/10.20396/bjos.v17i0.8654178.

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Aim: To evaluate the reliability of the automatic cephalometric analysis in relation to the semi-automatic method. Methods: Fifty lateral cephalometric radiographs were selected and two dental surgeons performed the Steiner and Tweed analyses independently using the semi-automatic method on the Radiocef Studio 2® software suite (Radiomemory, Belo Horizonte, MG, Brazil), and the automatic method on the Kodak Dental Imaging Software (Carestream Health, Rochester, NY, USA). After thirty days, 30% of the sample was re-evaluated to assess intra-observer agreement. Ten angular and linear measurements of both analyses were selected, averaged for both observers and compared using Student's t-test with a significance level of 5% (α=0.05). Intra and inter-observer agreement were assessed through Intraclass Correlation Coefficient. Results: Intra-observer reproducibility was excellent for all measurements and inter-observer reproducibility was excellent for most of them. Significant differences (p<0.05) were found between automatic and semi-automatic methods for all measurements. Most of the measurements were significantly higher (p<0.05) with the automatic method. Conclusion: Semi-automatic cephalometric analysis can not be replaced with a completely automatic method.
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LIANG, Guang-Tai, Na MENG, Jin-Hui LI, Hao ZHONG, Lu ZHANG, and Qian-Xiang WANG. "A Semi-Automatic Extensible Static Defect Analysis Tool." Chinese Journal of Computers 34, no. 6 (September 6, 2011): 1114–25. http://dx.doi.org/10.3724/sp.j.1016.2011.01114.

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Neri, Paolo, Michela Fiaschi, and Giovanni Menchini. "Semi-Automatic Tool for Vitiligo Detection and Analysis." Journal of Imaging 6, no. 3 (March 24, 2020): 14. http://dx.doi.org/10.3390/jimaging6030014.

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Vitiligo vulgaris is an autoimmune disease which causes a strong reduction of the cells producing melanin, which is the main skin pigment. This results in the growth of white patches on patients’ skin, which are more or less visible, depending on the skin phototype. Precise, objective and fast detection of vitiligo patches would be crucial to produce statistically relevant data on huge populations, thus giving an insight on the disease. However, few methods are available in literature. In the present paper, a semi-automatic tool based on image processing to detect facial vitiligo patches is described. The tool requires pictures to be captured under black light illumination, which enhances patches contrast with respect to healthy skin. The user is only required to roughly define the regions of interest and set a global threshold, thus, no specific image-processing skills are required. An adaptive algorithm then automatically discerns between vitiligo and healthy skin pixels. The tools also allow for a statistical data interpretation by overlapping the detected patches of all patients on a face template through an occurrence map. Preliminary results obtained on a small population of 15 patients allowed us to assess the tool’s performance. Patch detection was checked by an experienced dermatologist, who confirmed the detection for all the studied patients, thus supporting the effectiveness of the proposed tool.
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Hunter, J. C., and M. W. Collins. "The semi-automatic analysis of compressible flow interferograms." Measurement Science and Technology 1, no. 3 (March 1, 1990): 238–46. http://dx.doi.org/10.1088/0957-0233/1/3/006.

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Sokhin, Timur, and Nikolay Butakov. "Semi-automatic sentiment analysis based on topic modeling." Procedia Computer Science 136 (2018): 284–92. http://dx.doi.org/10.1016/j.procs.2018.08.286.

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van Hoff, Arthur A., Tim Niblett, David G. Rowlands, Alan Flook, Peter I. Payne, and Sean McKee. "Semi-automatic analysis of two-dimensional electrophoretic gels." Knowledge-Based Systems 1, no. 5 (December 1988): 292–300. http://dx.doi.org/10.1016/0950-7051(88)90083-4.

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Krasić, Sonja, and Petar Pejić. "Comparative Analysis of Terrestrial Semi-automatic and Automatic Photogrammetry in 3D Modeling Process." Nexus Network Journal 16, no. 2 (May 13, 2014): 273–83. http://dx.doi.org/10.1007/s00004-014-0188-6.

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Dissertations / Theses on the topic "Semi-automatic analysis"

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Zheng, Yilei. "IFSO: A Integrated Framework For Automatic/Semi-automatic Software Refactoring and Analysis." Digital WPI, 2004. https://digitalcommons.wpi.edu/etd-theses/241.

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To automatically/semi-automatically improve internal structures of a legacy system, there are several challenges: most available software analysis algorithms focus on only one particular granularity level (e.g., method level, class level) without considering possible side effects on other levels during the process; the quality of a software system cannot be judged by a single algorithm; software analysis is a time-consuming process which typically requires lengthy interactions. In this thesis, we present a framework, IFSO (Integrated Framework for automatic/semi-automatic Software refactoring and analysis), as a foundation for automatic/semi-automatic software refactoring and analysis. Our proposed conceptual model, LSR (Layered Software Representation Model), defines an abstract representation for software using a layered approach. Each layer corresponds to a granularity level. The IFSO framework, which is built upon the LSR model for component-based software, represents software at the system level, component level, class level, method level and logic unit level. Each level can be customized by different algorithms such as cohesion metrics, design heuristics, design problem detection and operations independently. Cooperating between levels together, a global view and an interactive environment for software refactoring and analysis are presented by IFSO. A prototype was implemented for evaluation of our technology. Three case studies were developed based on the prototype: three metrics, dead code removing, low coupled unit detection.
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Zheng, Yilei. "IFSO an integrated framework for automatic/semi-automatic software refactoring and analysis." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0423104-153906.

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Thesis (M.S.)--Worcester Polytechnic Institute.
Keywords: LSR model; IFSO framework; automatic/semi-automatic software refactoring; software refactoring framework. Includes bibliographical references (p. 89-92).
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Chu, Calvin School of Biomedical Engineering UNSW. "Development of a semi-automatic method for cellular migration and division analysis." Awarded by:University of New South Wales. School of Biomedical Engineering, 2005. http://handle.unsw.edu.au/1959.4/20543.

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Binary image processing algorithms have been implemented in this study to create a background subtraction mask for the segmentation of cellular time lapse images. The complexity in the development of the background subtraction mask stems from the inherent difficulties in contrast resolution at the cellular boundaries. Coupling the background subtraction mask with the path reconstruction method via superposition of overlapping binary segmented objects in sequential time lapse images produces a semi-automatic method for cellular tracking. In addition to the traditional center of mass or centroid approximation, a novel quasi-center of mass (QCM) derived from the local maxima of the distance transformation (DT) has also been proposed in this study. Furthermore, image isolation and separation between spreading/motile and mitotic cells allows the extraction of both migratory and divisional cellular information. DT application to isolated mitotic cells permits the ability to identify distinct morphologic phases of cellular division. Application of standard bivariate statistics allows the characterization of cellular migration and growth. Determination of Hotelling???s confidence ellipse from cellular trajectory data elucidates the biased or unbiased migration of cellular populations. We investigated whether it was possible to describe the trajectory as a simple binomial process, where trajectory directions are classified into a sequence of (8) discrete states. A significant proportion of trajectories did not follow the binomial model. Additionally, a preliminary relationship between the image background area, approximate number of counted cells in an image frame, and imaging time is proposed from the segmentation of confluent monolayer cellular cultures.
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Liu, Jing. "Implementation of a Semi-automatic Tool for Analysis of TEM Images of Kidney Samples." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-180813.

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Glomerular disease is a cause for chronic kidney disease and it damages the function of the kidneys. One symptom of glomerular disease is proteinuria, which means that large amounts of protein are emerged in the urine. To be more objective,transmission electron microscopy (TEM) imaging of tissue biopsies of kidney are used when measuring proteinuria. Foot process effacement (FPE), which is defined as less than1 ”slit”(gap)/micrometer at the glomerular basement membrane (GBM). Measuring FPE is one way to detect proteinuria using kidney TEM images, this technique is a time-consuming task and used to be measured manually by an expert. This master thesis project aims at developing a semi-automatic way to detect the FPE patients as well as a graphic user interface (GUI) to make the methods and results easily accessible for the user. To compute the slits/micrometer for each image, the GBM needs to be segmented from the background. The proposed work flow combines various filters and mathematical morphology to obtain the outer contour of the GBM. The outer contour is then smoothed, and unwanted parts are removed based on distance information and angle differences between points on the contour. The length is then computed by weighted chain code counts. At last, an iterative algorithm is used to locate the positions of the "slits" using both gradient and binary information of the original images. If necessary, the result from length measurement and "slits" counting can be manually corrected  by the user. A tool for manual measurement is also provided as an option. In this case, the user can add anchor points on the outer contour of the GBM and then the length is automatically measured and "slit" locations are detected. For very difficult images, the users can also mark all "slits" locations by hand. To evaluate the performance and the accuracy, data from five patients are tested,for each patient six images are available. The images are 2048 by 2048 gray-scale indexed 8 bit images and the scale is 0.008 micrometer/pixel. The one FPE patient in the dataset is successfully distinguished.
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Delisle, Sylvain. "Text processing without a priori domain knowledge: Semi-automatic linguistic analysis for incremental knowledge acquisition." Thesis, University of Ottawa (Canada), 1994. http://hdl.handle.net/10393/6574.

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Technical texts are an invaluable source of the domain-specific knowledge which plays a crucial role in advanced knowledge-based systems today. However, acquiring such knowledge has always been a major difficulty in the construction of these systems--this critical obstacle is sometimes referred to as the "knowledge acquisition bottleneck". In order to lessen the burden on the knowledge engineer's shoulders, several approaches have been proposed in the literature. A few of these suggest processing texts pertaining to the domain of interest in order to extract the knowledge they contain and thus facilitate the domain modelling. We herein propose a new approach to knowledge acquisition from texts; this approach is comprised of a new methodology and computational framework for the implementation of a linguistic processor which represents the central component of a system for the acquisition of knowledge from text. The system, named TANKA, is not given the complete domain model beforehand. It is designed to process technical texts in order to incrementally build a knowledge base containing a conceptual model of the domain. TANKA is an intelligent assistant to the knowledge engineer; when it cannot proceed entirely on its own, the user is asked to collaborate. In the process, the system acquires knowledge from text; it can be said to learn about the domain. The originality of the research is due mainly to the fact that we do not assume significant a priori domain-specific (semantic) knowledge: this assumption represents a severe constraint on the natural language processor. The only external elements of knowledge we consider in the proposed framework are "off-the-shelf" publicly available and domain-independent repositories, such as a basic dictionary containing surface syntactic information (i.e. The Collins) and a lexical database (i.e. WordNet). Other components of the proposed framework are general-purpose. The parser (DIPETT) is domain-independent with a large coverage of English: our approach relies on full syntactic analysis. The Case-based semantic analyzer (HAIKU) is semi-automatic: it interacts with the user in order to get his$\sp1$ approval of the analysis it has just proposed and negotiates refined elements of the analysis when necessary. The combined processing of DIPETT and HAIKU allows TANKA, the encompassing system$\sp2$, to acquire knowledge, based on the conceptual elements produced by HAIKU. The thesis also describes experiments that have been conducted on a Prolog implementation of both of these text analysis components. The approach presented in the thesis is general and in principle portable to any domain in which suitable technical texts are available. The thesis presents theoretical considerations as well as engineering aspects of the many facets of this research work. We also provide a detailed discussion of many future work items that could be added to what has already been accomplished in order to make the framework even more productive. (Abstract shortened by UMI.) ftn$\sp1$In order to lighten the text, the terms 'he' and 'his' have been used generically to refer equally to persons of either sex. No discrimination is either implied or intended. $\sp2$DIPETT and HAIKU constitute a conceptual analyzer that can be used independently of TANKA or within a different encompassing system.
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Ramnerö, David. "Semi-automatic Training Data Generation for Cell Segmentation Network Using an Intermediary Curator Net." Thesis, Uppsala universitet, Bildanalys och människa-datorinteraktion, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-332724.

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In this work we create an image analysis pipeline to segment cells from microscopy image data. A portion of the segmented images are manually curated and this curated data is used to train a Curator network to filter the whole dataset. The curated data is used to train a separate segmentation network to improve the cell segmentation. This technique can be easily applied to different types of microscopy object segmentation.
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Bhatti, Nadeem Verfasser], Dieter W. [Akademischer Betreuer] [Fellner, and Tobias [Akademischer Betreuer] Schreck. "Visual Semantic Analysis to Support Semi Automatic Modeling of Service Descriptions / Nadeem Bhatti. Betreuer: Dieter W. Fellner ; Tobias Schreck." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2011. http://d-nb.info/1105562689/34.

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Bhatti, Nadeem [Verfasser], Dieter W. [Akademischer Betreuer] Fellner, and Tobias [Akademischer Betreuer] Schreck. "Visual Semantic Analysis to Support Semi Automatic Modeling of Service Descriptions / Nadeem Bhatti. Betreuer: Dieter W. Fellner ; Tobias Schreck." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2011. http://nbn-resolving.de/urn:nbn:de:tuda-tuprints-26405.

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Lösch, Felix. "Optimization of variability in software product lines a semi-automatic method for visualization, analysis, and restructuring of variability in software product lines." Berlin Logos-Verl, 2008. http://d-nb.info/992075904/04.

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Colaninno, Nicola. "Semi-automatic land cover classification and urban modelling based on morphological features : remote sensing, geographical information systems, and urban morphology : defining models of land occupation along the Mediterranean side of Spain." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/396219.

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From a global point of view, as argued by Levy (1999), the modern city has undergone radical changes in its physical form, either in terms of territorial expansion as well as in terms of interna! physical transformations. Today, approximately 75% of the European population lives in urban areas ,which makes the urban fulure of the conlinent a major cause of concern (Brazil, Cavalcanti, & Longo, 2014). lndeed, the demand for urban land, both within and around the cities, is becoming increasingly acule (European Environmenl Agency, 2006). Ouring the last decades, also Spain has been undergoing an important process of urban growth, which has implied the consumption of a large amounl of land, al hough the overall population growth rale, mostly along certain specific geographic areas, has remained at least unchanged or even, in sorne cases, il has also decreased. Such a phenomenon has been quite remarkable along the Mediterranean side. As argued by Gaja (2008), the urban development in Spain has been strongly linked to the model of economic development , which relies, since its launch in the 50's, onlhree main factors , i.e.:emigration, building, and mass tourism. Nowadays , in Spain, and mostly along the Medilerranean side, several urban areas are facing important phenomena of urban sprawl, also feared by he European Union. An accurate information about the pattern of land use/land cover, over time, is a fundamental requirement for a better understanding of the urban models. Currently, even though plenty of approaches to the image classification, through Remote Sensing (RS) techniques, have been advanced, Land Cover/Land Use classification is still an exciting challenge (Weng, 2010). Actually, the increasing development of RS and GIS technologies, during the last decades, has provided further capabiliies for measuring, analysing, understanding, modelling the "physical expressions" of urban growth phenomena, either in terms of pattern and process (Bhatta, 2012), and based on land use/land cover mapping and change delection over time. Based on such a technological approach, here we first aim to set up a suitable methodology for detecting generalized land cover classes based on an assisted automatic (or semi-aulomatic) pixel-based approach, calibrated upon Landsat Thematic Mapper (TM) mullispectral imagery, at 30 meters of spatial resolution. Beside, through the use of Geographical lnformation Syslem (GIS) we provide a spatial analysis and modelling of different urban models, from a morphological standpoint, in order to define the main pattern of land occupation al municipal scale, and along the Mediterranean side of Spain, al the year 2011. We focus on two main issues. On one hand, RS techniques have been used to set up a proper semi-automatic classification methodology, based on the use of Landsat imagery, capable of handling huge geographical areas quickly and efficiently. This process is basically aimed to detect the urban areas, at the year 2011, along the Mediterranean side of Spain, depending on the administrative division of Autonomous Communities. On the other hand, the spatial patterns of urban settlements have been analysed by using a GIS platform for quantifying a set of spatial metrics about the urban form. Hence, once get the quantification of different morphological features, including the analysis aboul either the urban profile, the urban texture, and the street network pattern, an automatic classification of different urban morphological models has been proposed, based on a stalistical approaches, namely factor and cluster analysis
Desde un punto de vista global,como sostiene Levy (1999), la ciudad moderna ha experimentado cambios radicales en su forma física, ya sea en términos de expansión territorial, así como en términos de transformaci ones internas. Hoy en día, aproximadamente el 75% de la población europea vive en zonas urbanas, lo que hace del futuro urbano delcontinente, una causa importante de preocupación (Brasil, Cavalcanti, y Longo, 2014). De hecho, la demanda de suelo urbano, dentro y alrededor de las ciudades , es cada vez más aguda (Agencia Europea de Medio Ambiente,2006). Durante las últimas décadas, también España ha experimentado un importante proceso de crecimiento urbano que ha implicado el consumo de una gran cantidad de tierra, aunque la tasa de crecimiento de la población en general, sobre todo a lo largo de ciertas áreas geográficas específicas , se ha mantenido al menos sin cambios o incluso, en algunos casos, también ha disminuido. Este fenómeno ha sido muy evidente a lo largo de la vertiente mediterránea. Como sostiene Gaja (2008), el desarrollo urbano en España se ha visto fuertemente vinculado con el modelo de desarrollo económico, que se basa, desde su lanzamiento en la década de los 50,en tres factores principales, a saber: la emigración, la construcción y el turismo de masas. Hoy en día, en España, y sobre todo a lo largo de la vertiente mediterránea, varias zonas urbanas se enfrentan a fenómenos importantes de expansión urbana, también temidos por la Unión Europea. Al respecto,un requisito fundamental para mejorar la comprensión y el estudio de los modelos urbanos es obtener en eltiempo una información precisa sobre los patrones de cubiertas y uso de suelo. Actualmente, a pesar de la existencia de numerosos métodos para la clasificación de imágenes digitales a través de técnicas de teledetección, para ext raer información sobre cobertura/uso de suelo, este enfoque sigue siendo un reto apasionante (Weng, 2010). El creciente desarrollo de las tecnologías de RS y GIS, durante las últimas décadas, ha proporcionado nuevas capacidades para medir, analizar, comprender, y modelar las "expresiones físicas" de los fenómenos de crecimiento urbano, en términos de patrones y procesos (Bhatta, 2012), y con base en el mapeo y análisis de cambios de cobertura/uso de suelo a través el tiempo. Basándose en un enfoque tecnológico, el primero objetivo es establecer una metodología adecuada para la detección de clases de cobertura de la tierra generalizadas que encuentra su fundamento en una asistido automático (o semiautomático), enfoque basado en píxeles, calibradas en Landsat Thematic Mapper (TM) imágenes multiespectrales, a 30 metros de resolución espacial. Al lado, a través del uso del Sistema de Información Geográfica (SIG), es posible proveer un análisis espacial y la modelización de diferentes modelos urbanos, desde un punto de vista morfológico, con el fin de definir el patrón principal de la ocupación del suelo a escala municipal a lo largo de la vertiente mediterránea de España, en el año 2011. En particular no enfocamos en dos cuestiones principales. Por un lado, las técnicas de RS se han utilizado para establecer una metodología de clasificación semi-automático adecuada, basada en el uso de imágenes Landsat, capaz de manejar grandes zonas geográficas de forma rápida y eficiente. Este proceso, básicamente, va dirigido a detectar las áreas urbanas, en el año 2011, a lo largo de la vertiente mediterránea de España, según la división administrativa de las Comunidades Autónomas. Por otro lado, los patrones espaciales de asentamientos urbanos han sido analizados mediante el uso de una plataforma GIS para cuantificar un conjunto de métricas espaciales sobre la forma urbana. Finalmente, una vez obtenida la cuantificación de diferentes características morfológicas, se ha proporcionado una clasificación automática de los diferentes modelos morfológicos urbanos, basada en un enfoque estadístico, es decir, análisis factorial y clúster.
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Books on the topic "Semi-automatic analysis"

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Różdżyński, Kazimierz. Operational semi-automatic verification of telelimnimetric data under metrological analysis. Warsaw: Institute of Meteorology and Water Management, National Research Institute, 2011.

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Cutler, Raymond. Biochemical spectrophotometer for continuous, semi-automatic measurement of photosynphetic fluids, prior to analysis. Birmingham: University of Birmingham, 1990.

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Cheng, Dai-Zhan. Analysis and control of boolean networks: A semi-tensor product approach. London: Springer, 2011.

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Mitchell, Stephen Charles. Quantitative analysis of chemical elements using the scanning electron microscope: The use of an energy-dispersive x-ray detector to perform semi-automatic quantitative microanalysis using a scanning electron microscope. Bradford, 1985.

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Chapman, Airlie. Semi-Autonomous Networks: Effective Control of Networked Systems Through Protocols, Design, and Modeling. Springer, 2015.

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Chapman, Airlie. Semi-Autonomous Networks: Effective Control of Networked Systems through Protocols, Design, and Modeling. Springer, 2016.

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Chapman, Airlie. Semi-Autonomous Networks: Effective Control of Networked Systems Through Protocols, Design, and Modeling. Springer, 2015.

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Saugera, Valérie. Methodology. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190625542.003.0002.

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This chapter presents and justifies the use of both a dictionary corpus and a newspaper corpus. The dictionary corpus is used because of the role of the dictionary as linguistic authority in France, and the stable status of the Anglicisms included in it. For the newspaper data, the study benefited from the French text-mining tool named Sulci, originally designed for the corpus and thesaurus analysis of the daily newspaper Libération, which allowed extraction of all the dictionary-unattested forms in one year’s issues. In fact, this study is the first to use an electronic corpus to analyze the influence exerted by English over French. The advantages and disadvantages of the semi-automatic extraction of only dictionary-unsanctioned words of English origin are discussed in detail. The chapter includes the selection criteria for what counts as a borrowed item to be collected in the appended database.
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Book chapters on the topic "Semi-automatic analysis"

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Moehrmann, Julia, and Gunther Heidemann. "Semi-automatic Image Annotation." In Computer Analysis of Images and Patterns, 266–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40246-3_33.

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Finkbeiner, Bernd, and Sven Schewe. "Semi-automatic Distributed Synthesis." In Automated Technology for Verification and Analysis, 263–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11562948_21.

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Mičušík, Branislav, and Allan Hanbury. "Steerable Semi-automatic Segmentation of Textured Images." In Image Analysis, 35–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499145_5.

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Zwiggelaar, Reyer, Yanong Zhu, and Stuart Williams. "Semi-automatic Segmentation of the Prostate." In Pattern Recognition and Image Analysis, 1108–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-44871-6_128.

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Belhadj, Djedjiga, Yolande Belaïd, and Abdel Belaïd. "Automatic Generation of Semi-structured Documents." In Document Analysis and Recognition – ICDAR 2021 Workshops, 191–205. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86159-9_13.

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Rawat, Sachin, K. S. Sesh Kumar, Million Meshesha, Indraneel Deb Sikdar, A. Balasubramanian, and C. V. Jawahar. "A Semi-automatic Adaptive OCR for Digital Libraries." In Document Analysis Systems VII, 13–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11669487_2.

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Bussi, Silvia, and Fulvia Mangili. "A semi-automatic method for form layout description." In Image Analysis and Processing, 539–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60298-4_311.

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Yang, Li, Weihua Huang, and Chew Lim Tan. "Semi-automatic Ground Truth Generation for Chart Image Recognition." In Document Analysis Systems VII, 324–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11669487_29.

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Nøhr, Anne Krogh, Louise Pedersen Pilgaard, Bolette Dybkjær Hansen, Rasmus Nedergaard, Heidi Haavik, Rene Lindstroem, Maciej Plocharski, and Lasse Riis Østergaard. "Semi-automatic Method for Intervertebral Kinematics Measurement in the Cervical Spine." In Image Analysis, 302–13. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59129-2_26.

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Mees, Wim, and Marc Acheroy. "Semi-Automatic Analysis of High-Resolution Satellite Images." In Machine Vision and Advanced Image Processing in Remote Sensing, 238–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60105-7_22.

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Conference papers on the topic "Semi-automatic analysis"

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Lu, Tong, Yubin Yang, Feng Su, and Zhengxing Sun. "Semi-automatic Roof Reconstruction." In 2009 10th International Conference on Document Analysis and Recognition. IEEE, 2009. http://dx.doi.org/10.1109/icdar.2009.34.

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"(Semi-)Automatic Analysis of Dialogues." In International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004818104450452.

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Bodur, Osman, Leo Grady, Arthur Stillman, Randolph Setser, Gareth Funka-Lea, and Thomas O'Donnell. "Semi-automatic aortic aneurysm analysis." In Medical Imaging, edited by Armando Manduca and Xiaoping P. Hu. SPIE, 2007. http://dx.doi.org/10.1117/12.710719.

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Munk, Peter, Andreas Abele, Eike Thaden, Arne Nordmann, Rakshith Amarnath, Markus Schweizer, and Simon Burton. "Semi-automatic safety analysis and optimization." In DAC '18: The 55th Annual Design Automation Conference 2018. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3195970.3199857.

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Santos, Jose Eduardo Bastos dos. "Automatic Content Extraction on Semi-structured Documents." In 2011 International Conference on Document Analysis and Recognition (ICDAR). IEEE, 2011. http://dx.doi.org/10.1109/icdar.2011.249.

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Szalay, Richard, and Zoltan Porkolab. "Semi-Automatic Refactoring to C++20 Modules: A Semi-Success Story." In 2022 IEEE 22nd International Working Conference on Source Code Analysis and Manipulation (SCAM). IEEE, 2022. http://dx.doi.org/10.1109/scam55253.2022.00011.

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Munk, Peter, Andreas Abele, Eike Thaden, Arne Nordmann, Rakshith Amarnath, Markus Schweizer, and Simon Burton. "INVITED: Semi-Automatic Safety Analysis and Optimization." In 2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC). IEEE, 2018. http://dx.doi.org/10.1109/dac.2018.8465805.

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"Semi-Automatic Content Analysis of Qualitative Data." In iConference 2014 Proceedings: Breaking Down Walls. Culture - Context - Computing. iSchools, 2014. http://dx.doi.org/10.9776/14399.

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De Smet, Patrick. "Semi-automatic Forensic Reconstruction of Ripped-up Documents." In 2009 10th International Conference on Document Analysis and Recognition (ICDAR). IEEE, 2009. http://dx.doi.org/10.1109/icdar.2009.7.

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Cappelli, R., D. Maio, and D. Maltoni. "Semi-automatic enhancement of very low quality fingerprints." In 2009 6th International Symposium on Image and Signal Processing and Analysis. IEEE, 2009. http://dx.doi.org/10.1109/ispa.2009.5297669.

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