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Relevant bibliographies by topics / Data analysis and interpretation techniques

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Academic literature on the topic 'Data analysis and interpretation techniques'

Author: Grafiati

Published: 6 September 2023

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Journal articles on the topic "Data analysis and interpretation techniques"

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Wu, Yanping, and Md Habibur Rahman. "Analysis of Structured Data in Biomedicine Using Soft Computing Techniques and Computational Analysis." Computational Intelligence and Neuroscience 2022 (October 10, 2022): 1–11. http://dx.doi.org/10.1155/2022/4711244.

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In the field of biomedicine, enormous data are generated in a structured and unstructured form every day. Soft computing techniques play a major role in the interpretation and classification of the data to make appropriate decisions for making policies. The field of medical science and biomedicine needs efficient soft computing-based methods which can process all kind of data such as structured data, categorical data, and unstructured data to generate meaningful outcome for decision-making. The soft-computing methods allow clustering of similar data, classification of data, predictions from bi

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Fisher, M., and E. Hunter. "Digital imaging techniques in otolith data capture, analysis and interpretation." Marine Ecology Progress Series 598 (June 28, 2018): 213–31. http://dx.doi.org/10.3354/meps12531.

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Dobson, Scott, Jennifer Dabelstein, Anita Bagley, and Jon Davids. "Interpretation of kinematic data: Visual vs. computer-based analysis techniques." Gait & Posture 7, no. 2 (1998): 182–83. http://dx.doi.org/10.1016/s0966-6362(98)90277-6.

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Bornik, Alexander, and Wolfgang Neubauer. "3D Visualization Techniques for Analysis and Archaeological Interpretation of GPR Data." Remote Sensing 14, no. 7 (2022): 1709. http://dx.doi.org/10.3390/rs14071709.

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The non-invasive detection and digital documentation of buried archaeological heritage by means of geophysical prospection is increasingly gaining importance in modern field archaeology and archaeological heritage management. It frequently provides the detailed information required for heritage protection or targeted further archaeological research. High-resolution magnetometry and ground-penetrating radar (GPR) became invaluable tools for the efficient and comprehensive non-invasive exploration of complete archaeological sites and archaeological landscapes. The analysis and detailed archaeolo

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Thomas, Sabu K., and K. T. Thomachen. "Biodiversity Studies and Multicollinearity in Multivariate Data Analysis." Mapana - Journal of Sciences 6, no. 1 (2007): 27–35. http://dx.doi.org/10.12723/mjs.10.2.

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Multicollinearity of explanatory variables often threatens statistical interpretation of ecological data analysis in biodiversity studies. Using litter ants as an example,the impact of multicollinearity on ecological multiple regression and complications arsing from collinearity is explained.We list the various statistical techniques available for enhancing the reliability and interpretation of ecological multiple regressions in the presence of multicollinearity.

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Razminia, K., A. Hashemi, A. Razminia, and D. Baleanu. "Explicit Deconvolution of Well Test Data Dominated by Wellbore Storage." Abstract and Applied Analysis 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/912395.

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This paper addresses some methods for interpretation of oil and gas well test data distorted by wellbore storage effects. Using these techniques, we can deconvolve pressure and rate data from drawdown and buildup tests dominated by wellbore storage. Some of these methods have the advantage of deconvolving the pressure data without rate measurement. The two important methods that are applied in this study are an explicit deconvolution method and a modification of material balance deconvolution method. In cases with no rate measurements, we use a blind deconvolution method to restore the pressur

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Yamada, Ryo, Daigo Okada, Juan Wang, Tapati Basak, and Satoshi Koyama. "Interpretation of omics data analyses." Journal of Human Genetics 66, no. 1 (2020): 93–102. http://dx.doi.org/10.1038/s10038-020-0763-5.

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AbstractOmics studies attempt to extract meaningful messages from large-scale and high-dimensional data sets by treating the data sets as a whole. The concept of treating data sets as a whole is important in every step of the data-handling procedures: the pre-processing step of data records, the step of statistical analyses and machine learning, translation of the outputs into human natural perceptions, and acceptance of the messages with uncertainty. In the pre-processing, the method by which to control the data quality and batch effects are discussed. For the main analyses, the approaches ar

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Pavlopoulos, Sotiris, Trias Thireou, George Kontaxakis, and Andres Santos. "Analysis and interpretation of dynamic FDG PET oncological studies using data reduction techniques." BioMedical Engineering OnLine 6, no. 1 (2007): 36. http://dx.doi.org/10.1186/1475-925x-6-36.

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Kendrick, Sarah K., Qi Zheng, Nichola C. Garbett, and Guy N. Brock. "Application and interpretation of functional data analysis techniques to differential scanning calorimetry data from lupus patients." PLOS ONE 12, no. 11 (2017): e0186232. http://dx.doi.org/10.1371/journal.pone.0186232.

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Renqi, Jiang, John P. Castagna, and Wu Jian. "Applications of high-resolution seismic frequency and phase attribute analysis techniques." Earth sciences and subsoil use 45, no. 4 (2023): 324–44. http://dx.doi.org/10.21285/2686-9993-2022-45-4-324-344.

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Seismic prospecting for oil and gas exploration and development is limited by seismic data resolution. Improving the accuracy of quantitative interpretation of seismic data in thin layers, thereby identifying effective reservoirs and delineating favorable areas, can be a key factor for successful exploration and development. Historically, the limit of seismic resolution is usually assumed to be about 1/4 wavelength of the dominant frequency of the data in the formation of interest. Constrained seismic reflectivity inversion can resolve thinner layers than this assumed limit. This leads to a se

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Dissertations / Theses on the topic "Data analysis and interpretation techniques"

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Vitale, Raffaele. "Novel chemometric proposals for advanced multivariate data analysis, processing and interpretation." Doctoral thesis, Universitat Politècnica de València, 2017. http://hdl.handle.net/10251/90442.

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The present Ph.D. thesis, primarily conceived to support and reinforce the relation between academic and industrial worlds, was developed in collaboration with Shell Global Solutions (Amsterdam, The Netherlands) in the endeavour of applying and possibly extending well-established latent variable-based approaches (i.e. Principal Component Analysis - PCA - Partial Least Squares regression - PLS - or Partial Least Squares Discriminant Analysis - PLSDA) for complex problem solving not only in the fields of manufacturing troubleshooting and optimisation, but also in the wider environment of multiva

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Smith, Eugene Herbie. "An analytical framework for monitoring and optimizing bank branch network efficiency / E.H. Smith." Thesis, North-West University, 2009. http://hdl.handle.net/10394/5029.

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Financial institutions make use of a variety of delivery channels for servicing their customers. The primary channel utilised as a means of acquiring new customers and increasing market share is through the retail branch network. The 1990s saw the Internet explosion and with it a threat to branches. The relatively low cost associated with virtual delivery channels made it inevitable for financial institutions to direct their focus towards such new and more cost efficient technologies. By the beginning of the 21st century -and with increasing limitations identified in alternative virtual deliv

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Carter, Duane B. "Analysis of Multiresolution Data fusion Techniques." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/36609.

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In recent years, as the availability of remote sensing imagery of varying resolution has increased, merging images of differing spatial resolution has become a significant operation in the field of digital remote sensing. This practice, known as data fusion, is designed to enhance the spatial resolution of multispectral images by merging a relatively coarse-resolution image with a higher resolution panchromatic image of the same geographic area. This study examines properties of fused images and their ability to preserve the spectral integrity of the original image. It analyzes five current d

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Astbury, S. "Analysis and interpretation of full waveform sonic data." Thesis, University of Oxford, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.371535.

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Gimblett, Brian James. "The application of artificial intelligence techniques to data interpretation in analytical chemistry." Thesis, University of Salford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.395862.

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Lahouar, Samer. "Development of Data Analysis Algorithms for Interpretation of Ground Penetrating Radar Data." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/11051.

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According to a 1999 Federal Highway Administration statistic, the U.S. has around 8.2 million lane-miles of roadways that need to be maintained and rehabilitated periodically. Therefore, in order to reduce rehabilitation costs, pavement engineers need to optimize the rehabilitation procedure, which is achieved by accurately knowing the existing pavement layer thicknesses and localization of subsurface defects. Currently, the majority of departments of transportation (DOTs) rely on coring as a means to estimate pavement thicknesses, instead of using other nondestructive techniques, such as Gr

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Pinpart, Tanya. "Techniques for analysis and interpretation of UHF partial discharge signals." Thesis, University of Strathclyde, 2010. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=12830.

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Deng, Xinping. "Texture analysis and physical interpretation of polarimetric SAR data." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/396607.

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This thesis is dedicated to the study of texture analysis and physical interpretation of PolSAR data. As the starting point, a complete survey of the statistical models for PolSAR data is conducted. All the models are classified into three categories: Gaussian distributions, texture models, and finite mixture models. The texture models, which assume that the randomness of the SAR data is due to two unrelated factors, texture and speckle, are the main subject of this study. The PDFs of the scattering vector and the sample covariance matrix in different models are reviewed. Since many models ha

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Fitzgerald, Tomas W. "Data analysis methods for copy number discovery and interpretation." Thesis, Cranfield University, 2014. http://dspace.lib.cranfield.ac.uk/handle/1826/10002.

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Copy number variation (CNV) is an important type of genetic variation that can give rise to a wide variety of phenotypic traits. Differences in copy number are thought to play major roles in processes that involve dosage sensitive genes, providing beneficial, deleterious or neutral modifications to individual phenotypes. Copy number analysis has long been a standard in clinical cytogenetic laboratories. Gene deletions and duplications can often be linked with genetic Syndromes such as: the 7q11.23 deletion of Williams-‐Bueren Syndrome, the 22q11 deletion of DiGeorge syndrome and the 17q11.2 d

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Venugopal, Niveditha. "Annotation-Enabled Interpretation and Analysis of Time-Series Data." PDXScholar, 2018. https://pdxscholar.library.pdx.edu/open_access_etds/4708.

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As we continue to produce large amounts of time-series data, the need for data analysis is growing rapidly to help gain insights from this data. These insights form the foundation of data-driven decisions in various aspects of life. Data annotations are information about the data such as comments, errors and provenance, which provide context to the underlying data and aid in meaningful data analysis in domains such as scientific research, genomics and ECG analysis. Storing such annotations in the database along with the data makes them available to help with analysis of the data. In this thesi

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Books on the topic "Data analysis and interpretation techniques"

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Taylor, John K. Statistical techniques for data analysis. Lewis Publishers, 1990.

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Cheryl, Cihon, ed. Statistical techniques for data analysis. 2nd ed. Chapman & Hall/CRC, 2004.

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S, Guy Christopher, Brown Michael L, and American Fisheries Society, eds. Analysis and Interpretation of freshwater fisheries data. American Fisheries Society, 2007.

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Matrix population models: Construction, analysis, and interpretation. Sinauer Associates, 1989.

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Digital analysis of remotely sensed imagery. McGraw-Hill, 2009.

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Dua, Sumeet. Computational analysis of the human eye with applications. World Scientific, 2011.

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Cressie, Noel A. C. Statistics for spatial data. Wiley, 1991.

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Cressie, Noel A. C. Statistics for spatial data. Wiley, 1993.

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Gideon, Keren, and Lewis Charles 1943-, eds. A Handbook for data analysis in the behavioral sciences: Methodological issues. L. Erlbaum Associates, 1993.

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Data analysis techniques. Pearson Education Limited, 2006.

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Book chapters on the topic "Data analysis and interpretation techniques"

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Ogiela, Lidia, and Marek R. Ogiela. "Understanding-based image analysis systems." In Cognitive Techniques in Visual Data Interpretation. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02693-5_6.

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Sucharita, V., P. Venkateswara Rao, and Pellakuri Vidyullatha. "Big Data Analysis, Interpretation, and Management for Secured Smart Health Care." In Big Data Analytics and Intelligent Techniques for Smart Cities. CRC Press, 2021. http://dx.doi.org/10.1201/9781003187356-4.

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Sreenivasarao, Vuda, and Venkata Subbareddy Pallamreddy. "Advanced Data Warehousing Techniques for Analysis, Interpretation and Decision Support of Scientific Data." In Advances in Computing and Information Technology. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22555-0_18.

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Rawi, Norkhairani Abdul, Norhasiza Mat Jusoh, Mohd Nordin Abdul Rahman, Abd Rasid Mamat, and Mokhairi Makhtar. "Image Segmentation Techniques to Support Manual Chest X-Ray Interpretation." In Digital Economy, Business Analytics, and Big Data Analytics Applications. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05258-3_2.

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Jenkins, L. M. "Data analysis." In Numerical Techniques. CRC Press, 2023. http://dx.doi.org/10.1201/9781003422013-4.

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Molinero-Parejo, Ramón. "Geographically Weighted Methods to Validate Land Use Cover Maps." In Land Use Cover Datasets and Validation Tools. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_13.

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AbstractOne of the most commonly used techniques for validating Land Use Cover (LUC) maps are the accuracy assessment statistics derived from the cross-tabulation matrix. However, although these accuracy metrics are applied to spatial data, this does not mean that they produce spatial results. The overall, user’s and producer’s accuracy metrics provide global information for the entire area analysed, but shed no light on possible variations in accuracy at different points within this area, a shortcoming that has been widely criticized. To address this issue, a series of techniques have been developed to integrate a spatial component into these accuracy assessment statistics for the analysis and validation of LUC maps. Geographically Weighted Regression (GWR) is a local technique for estimating the relationship between a dependent variable with respect to one or more independent variables or explanatory factors. However, unlike traditional regression techniques, it considers the distance between data points when estimating the coefficients of the regression points using a moving window. Hence, it assumes that geographic data are non-stationary i.e., they vary over space. Geographically weighted methods provide a non-stationary analysis, which can reveal the spatial relationships between reference data obtained from a LUC map and classified data. Specifically, logistic GWR is used in this chapter to estimate the accuracy of each LUC data point, so allowing us to observe the spatial variation in overall, user’s and producer’s accuracies. A specific tool (Local accuracy assessment statistics) was specially developed for this practical exercise, aimed at validating a Land Use Cover map. The Marqués de Comillas region was selected as the study area for implementing this tool and demonstrating its applicability. For the calculation of the user’s and producer’s accuracy metrics, we selected the tropical rain forest category [50] as an example. Furthermore, a series of maps were obtained by interpolating the results of the tool, so enabling a visual interpretation and a description of the spatial distribution of error and accuracy.

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Owen, Gwilym, Yu Chen, Gwilym Pryce, Tim Birabi, Hui Song, and Bifeng Wang. "Deprivation Indices in China: Establishing Principles for Application and Interpretation." In The Urban Book Series. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74544-8_14.

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AbstractIndicesofMultiple Deprivation(IMDs) aim to measure living standards at the small area level. These indices were originally developed in the United Kingdom, but there is a growing interest in adapting them for use in China. However, due to data limitations, Chinese deprivation indices sometimes diverge considerably in approaches and are not always connected with the underlying concepts within UK analysis. In this paper, we seek to bring direction and conceptual rigour to this nascent literature by establishing a set of core principles for IMD estimation that are relevant and feasible in the Chinese context. These principles are based on specifying deprivation domains from theory, selecting the most appropriate measurements for these domains, and then applying rigorous statistical techniques to combine them into an IMD. We apply these principles to create an IMD for Shijiazhuang, the capital city of Hebei Province. We use this to investigate the spatial patterns of deprivation in Shijiazhuang, focussing on clusteringand centralisationof deprivation as well as exploring different deprivation typologies. We highlight two distinct types of deprived areas. One is clustered in industrial areas on the edge of the city, while the second is found more centrally and contains high proportions of low-skilled service workers.

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Akram, Jubran. "Microseismic Data Interpretation." In Understanding Downhole Microseismic Data Analysis. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34017-9_5.

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Amjath-Babu, T. S., Santiago Lopez Riadura, and Timothy J. Krupnik. "Agriculture, Food and Nutrition Security: Concept, Datasets and Opportunities for Computational Social Science Applications." In Handbook of Computational Social Science for Policy. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16624-2_11.

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AbstractEnsuring food and nutritional security requires effective policy actions that consider the multitude of direct and indirect drivers. The limitations of data and tools to unravel complex impact pathways to nutritional outcomes have constrained efficient policy actions in both developed and developing countries. Novel digital data sources and innovations in computational social science have resulted in new opportunities for understanding complex challenges and deriving policy outcomes. The current chapter discusses the major issues in the agriculture and nutrition data interface and provides a conceptual overview of analytical possibilities for deriving policy insights. The chapter also discusses emerging digital data sources, modelling approaches, machine learning and deep learning techniques that can potentially revolutionize the analysis and interpretation of nutritional outcomes in relation to food production, supply chains, food environment, individual behaviour and external drivers. An integrated data platform for digital diet data and nutritional information is required for realizing the presented possibilities.

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Raal, J. David, and Andreas L. Mühlbauer. "Techniques for Hpvle Data Interpretation." In Phase Equilibria. Routledge, 2023. http://dx.doi.org/10.1201/9780203743621-18.

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Conference papers on the topic "Data analysis and interpretation techniques"

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Loiselet, M. "SAR images interpretation using data analysis techniques." In IEE Colloquium on Polarisation in Radar. IEE, 1996. http://dx.doi.org/10.1049/ic:19960434.

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Rajendran, Shobana. "Image Retrieval Techniques, Analysis and Interpretation for Leukemia Data Sets." In Distributed Computing. IEEE, 2011. http://dx.doi.org/10.1109/snpd.2011.46.

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Cooper, Gordon R. J. "A new semiautomatic interpretation technique for aeromagnetic data." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2014 (ICNAAM-2014). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4913063.

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El Amine Senoussaoui, Mohammed, Issouf Fofana, and Mostefa Brahami. "Influence of Oil Quality on the Interpretation of Dissolved Gas Analysis Data." In 2021 IEEE 5th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON). IEEE, 2021. http://dx.doi.org/10.1109/catcon52335.2021.9670513.

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Michael, Nikolaos A., Christian Scheibe, and Neil W. Craigie. "Automations in Chemostratigraphy: Toward Robust Chemical Data Analysis and Interpretation." In SPE Middle East Oil & Gas Show and Conference. SPE, 2021. http://dx.doi.org/10.2118/204892-ms.

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Abstract Elemental chemostratigraphy has become an established stratigraphic correlation technique over the last 15 years. Geochemical data are generated from rock samples (e.g., ditch cuttings, cores or hand specimens) for up to c. 50 elements in the range Na-U in the periodic table using various analytical techniques. The data are commonly displayed and interpreted as ratios, indices and proxy values in profile form against depth. The large number of possible combinations between the determined elements (more than a thousand combinations), makes it a time-consuming effort to identify meaning

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Ore, Tobi, Davud Davudov, Anton Malkov, et al. "A Comprehensive Analysis of Data Driven Techniques to Quantify Injector Producer Relationships." In Gas & Oil Technology Showcase and Conference. SPE, 2023. http://dx.doi.org/10.2118/214199-ms.

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Abstract Water flooding is an established method of secondary recovery to increase oil production in conventional reservoirs. Analytical models such as capacitance resistance models (CRM) have been used to understand the connectivity between injectors and producers to drive optimization. However, these methods are not applicable to waterflood fields at the initial stage of life with limited data (less than 2 years of injection history). In this work, a novel approach is presented that combines analytics and machine learning to process data and hence quantify connectivity for optimization strat

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Urazov, Ruslan Rubikovich, Alfred Yadgarovich Davletbaev, Alexey Igorevich Sinitskiy, et al. "The Interpretation Technique of Rate Transient Analysis Data in Fractured Horizontal Wells." In SPE Russian Petroleum Technology Conference. SPE, 2021. http://dx.doi.org/10.2118/206484-ms.

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Abstract This research presents a modified approach to the data interpretation of Rate Transient Analysis (RTA) in hydraulically fractured horizontal well. The results of testing of data interpretation technique taking account of the flow allocation in the borehole according to the well logging and to the injection tests outcomes while carrying out hydraulic fracturing are given. In the course of the interpretation of the field data the parameters of each fracture of hydraulic fracturing were selected with control for results of well logging (WL) by defining the fluid influx in the borehole.

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Li, R., T. H. Hyde, W. Sun, and B. Dogan. "Modelling and Data Interpretation of Small Punch Creep Testing." In ASME 2011 Pressure Vessels and Piping Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/pvp2011-57204.

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The small punch testing (SPT) technique has been proposed for use in determining the creep properties of materials for which only a very small volume of material is available. A draft code of practice on SPT has been produced. However it is not, as yet, generally accepted that the data obtained from small punch tests can be directly related to those which would be obtained from conventional uniaxial creep tests. For this reason, the development of techniques suitable for the interpretation of SPT data has become very important. In this paper, a set of uniaxial creep test data has been characte

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Silva, Bruno, and Marjory Da Costa-Abreu. "An empirical analysis of Brazilian courts law documents using learning techniques." In VIII Workshop de Forense Computacional. Sociedade Brasileira de Computação, 2019. http://dx.doi.org/10.5753/wfc.2019.14019.

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This paper describes a survey on investigating judicial data to ﬁnd patterns and relations between crime attributes and corresponding decisions made by courts, aiming to ﬁnd import directions that interpretation of the law might be taking. We have developed an initial methodology and experimentation to look for behaviour patterns to build judicial sentences in the scope of Brazilian criminal courts and achieved results related to important trends in decision making. Neural networks-based techniques were applied for classiﬁcation and pattern recognition, based on Multi-Layer Perceptron and Radi

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Johnson, W., Gary B. Gustafson, Jeanne M. Sparrow, et al. "Effect of data-compression techniques on a meteorological satellite image test suite Douglas." In OSA Annual Meeting. Optica Publishing Group, 1990. http://dx.doi.org/10.1364/oam.1990.mi8.

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We report the results of a comparative study of the effect of several lossy compression techniques on satellite-based meteorological imagery. Three algorithms, implemented by participants in this effort, were tested on a variety of satellite data products, at several compression, ratios ranging to as much as a factor of 20. The compression techniques included a scene-adaptive discrete-co-sine-transform technique, an adaptive differential pulse-code-modulation technique, and a vector quantization algorithm. A variety of quantitative measures were applied in the evaluation of these lossy image-c

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Reports on the topic "Data analysis and interpretation techniques"

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McKean, Adam P., Zachary W. Anderson, Donald L. Clark, et al. Detrital Zircon U-Pb Geochronology Results for the Bountiful Peak, Coalville, James Peak, Mount Pisgah, Paradise, and Payson Lakes 7.5' Quadrangles, Utah. Utah Geological Survey, 2022. http://dx.doi.org/10.34191/ofr-743.

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This Open-File Report makes available raw analytical data from laboratory analysis of U-Pb ages of zircon grains from samples collected during geologic mapping funded by the U.S. Geological Survey (USGS) National Cooperative Geologic Mapping Program (STATEMAP) and the Utah Geological Survey (UGS). The references listed in table 1 provide additional information such as sample location, geologic setting, and interpretation of the samples in the context of the area where they were collected. The data were prepared by the University of Utah Earth Core Facility (Diego Fernandez, Director), under co

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Tarko, Andrew P., Mario A. Romero, Vamsi Krishna Bandaru, and Cristhian Lizarazo. TScan–Stationary LiDAR for Traffic and Safety Applications: Vehicle Interpretation and Tracking. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317402.

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To improve traffic performance and safety, the ability to measure traffic accurately and effectively, including motorists and other vulnerable road users, at road intersections is needed. A past study conducted by the Center for Road Safety has demonstrated that it is feasible to detect and track various types of road users using a LiDAR-based system called TScan. This project aimed to progress towards a real-world implementation of TScan by building two trailer-based prototypes with full end-user documentation. The previously developed detection and tracking algorithms have been modified and

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Worcester, Peter F., James A. Mercer, and Robert C. Spindel. Ocean Acoustic Observatories: Data Analysis and Interpretation. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada628417.

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Worcester, Peter F., James A. Mercer, and Robert C. Spindel. Ocean Acoustic Observatories: Data Analysis and Interpretation. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada629597.

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WANG, MIN, Sheng Chen, Changqing Zhong, et al. Diagnosis using artificial intelligence based on the endocytoscopic observation of the gastrointestinal tumours: a systematic review and meta-analysis. InPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.2.0096.

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Review question / Objective: With the development of endoscopic techniques, several diagnostic endoscopy methods are available for the diagnosis of malignant lesions, including magnified pigmented endoscopy and narrow band imaging (NBI).The main goal of endoscopy is to achieve the real-time diagnostic evaluation of the tissue, allowing an accurate assessment comparable to histopathological diagnosis based on structural and cellular heterogeneity to significantly improve the diagnostic rate for cancerous tissues. Endocytoscopy (ECS) is based on ultrahigh magnification endoscopy and has been app

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Kiefner, J. F., J. M. Tuten, and T. A. Wall. L51516 Preventing Pipeline Failure in Areas of Soil Movement - Part 1. Pipeline Research Council International, Inc. (PRCI), 1987. http://dx.doi.org/10.55274/r0010303.

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Ordinarily, buried pipelines undergo little or no movement in service. In a stable soil environment the longitudinal stress in a pipeline seldom approaches the limiting design value set by applicable codes and regulations. Pipeline serviceability under such conditions is seldom, if ever, threatened by the degree of longitudinal stress. In contrast, localized areas may exist along a pipeline where soils and/or slopes are unstable or where subsidence or differential settlement can occur. In these areas, longitudinal stresses may become severe enough to cause a failure. Over the years various tec

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Hoaglin, David C., and Frederick Mosteller. Robust/Resistant Techniques of Data Analysis. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada163972.

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Beam, Craig A., Emily F. Conant, Harold L. Kundel, Ji-Hyun Lee, Patricia A. Romily, and Edward A. Sickles. Time-Series Analysis of Human Interpretation Data in Mammography. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada434583.

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Kraus, Nicholas C., and Julie D. Rosati. Interpretation of Shoreline-Position Data for Coastal Engineering Analysis. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada591274.

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Venugopal, Niveditha. Annotation-Enabled Interpretation and Analysis of Time-Series Data. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.6592.

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