Relevant bibliographies by topics / Methods coding

Contents

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

Academic literature on the topic 'Methods coding'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Methods coding"

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Choe, Jaeryun, Haechul Choi, Heeji Han, and Daehyeok Gwon. "Novel video coding methods for versatile video coding." International Journal of Computational Vision and Robotics 11, no. 5 (2021): 526. http://dx.doi.org/10.1504/ijcvr.2021.10040489.

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Han, Heeji, Daehyeok Gwon, Jaeryun Choe, and Haechul Choi. "Novel video coding methods for versatile video coding." International Journal of Computational Vision and Robotics 11, no. 5 (2021): 526. http://dx.doi.org/10.1504/ijcvr.2021.117582.

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Williams, David M., and Christopher J. Humphries. "Component Coding, Three-Item Coding, and Consensus Methods." Systematic Biology 52, no. 2 (2003): 255–59. http://dx.doi.org/10.1080/10635150390192753.

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Goulahsen, Abdelaziz, Julien Saadé, and Frédéric Pétrot. "Line coding methods for high speed serial links." International Symposium on Microelectronics 2015, no. 1 (2015): 000318–23. http://dx.doi.org/10.4071/isom-2015-wa63.

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A line coding for high speed serial transmission is defined by two major characteristics: the maximum guaranteed run length (RL) which is the number of consecutive identical bits, and the running disparity (RD or DC-Balance) which is the difference between the number of 'zeroes' and 'ones' in a frame. Both should be bounded to a certain limit, RL to ensure reliable clock recovery and RD to limit baseline wander. Another important parameter is the overhead predictability. This parameter may be critical for applications that need a regular synchronization but for other applications, especially i
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MATSUI, Hajime. "Algebraic Methods in Coding Theory." IEICE ESS Fundamentals Review 8, no. 3 (2015): 151–61. http://dx.doi.org/10.1587/essfr.8.151.

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Cox, Richard V. "Current Methods of Speech Coding." International Journal of High Speed Electronics and Systems 08, no. 01 (1997): 13–68. http://dx.doi.org/10.1142/s0129156497000032.

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Digital speech coding is used in a wide variety of every day applications that the ordinary person takes for granted, such as network wireline and cellular telephony and telephone answering machines. This article reviews some of the most currently used methods of speech coding. This includes reviewing the basic attributes of these coders, the methods used for coding and some of the most important speech coding standards. It also reviews the methods used to realize digital speech coders, especially those for implementing these coders in a cost effective manner.
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Shen, Tao. "Grounded Theory Coding Quality Assurance Methods." Methodology Insight 1, no. 1 (2025): 1–15. https://doi.org/10.71290/mi01010001.

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With the widespread application of qualitative research methods in social sciences, grounded theory, as one of the core methods, has coding quality that directly affects the validity and credibility of the theory. The article first elaborates on the connotations and evaluation dimensions of coding quality, pointing out that high-quality coding should meet the requirements of grounded theory in both the process and result dimensions. The main challenges faced in the coding process are the subjectivity of researchers, the complexity of qualitative data, and the lack of unified coding standards.
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V., Yaswanth Varma *. T. Nalini Prasad N. V. Phani Sai Kumar. "IMAGE COMPRESSION METHODS BASED ON TRANSFORM CODING AND FRACTAL CODING." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 10 (2017): 481–87. https://doi.org/10.5281/zenodo.1036337.

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Image compression is process to remove the redundant information from the image so that only essential information can be stored to reduce the storage size, transmission bandwidth and transmission time. The essential information is extracted by various transforms techniques such that it can be reconstructed without losing quality and information of the image. In this research comparative analysis of image compression is done by four transform method, which are Discrete Cosine Transform (DCT), Discrete Wavelet Transform( DWT) & Hybrid (DCT+DWT) Transform and fractal coding. MATLAB programs
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Urlacher, Brian R. "Opportunities and obstacles in distributed or crowdsourced coding." Qualitative & Multi-Method Research 15, no. 2 (2017): 15–21. https://doi.org/10.5281/zenodo.2563163.

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Scholars interested in translating large quantities of qualitative information into structured datasets have an expanding range of options, each with different strengths and weaknesses to be balanced. Whether a researcher opts for an inductive or deductive strategy for creating conceptual frameworks, in the end, the task of merging concepts with actual data is an “interpretive exercise.” For qualitative data—be it transcripts, field notes, or texts—this exercise has traditionally been carried out by researchers, working alone or in small teams. Yet, relyi
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Martyniuk, T. B., and O. Yu Voinalovych. "Classification model of digital coding methods." Optoelectronic Information-Power Technologies 47, no. 1 (2024): 42–49. http://dx.doi.org/10.31649/1681-7893-2024-47-1-42-49.

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In modern computer applications, efficient processing of digital information requires optimal coding of digital data, especially considering the speed and immunity of processing and transmission of coded information. This work is devoted to the classification analysis of known coding methods with an emphasis on their immunity. Jam-resistant codes play a key role in ensuring the reliability and efficiency of information transmission, as well as ensuring its integrity in critical object processing, analysis and recognition systems. An extended version of the classification model of coding method
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Dissertations / Theses on the topic "Methods coding"

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Toivonen, T. (Tuukka). "Efficient methods for video coding and processing." Doctoral thesis, University of Oulu, 2008. http://urn.fi/urn:isbn:9789514286957.

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Abstract This thesis presents several novel improvements to video coding algorithms, including block-based motion estimation, quantization selection, and video filtering. Most of the presented improvements are fully compatible with the standards in general use, including MPEG-1, MPEG-2, MPEG-4, H.261, H.263, and H.264. For quantization selection, new methods are developed based on the rate-distortion theory. The first method obtains locally optimal frame-level quantization parameter considering frame-wise dependencies. The method is applicable to generic optimization problems, including also
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Hong, Zhihong. "Robust Coding Methods For Space-Time Wireless Communications." NCSU, 2002. http://www.lib.ncsu.edu/theses/available/etd-20020117-144929.

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<p>HONG, ZHIHONG. Robust Coding Methods For Space-Time Wireless Communications. (Under the direction of Dr. Brian L. Hughes.)Space-time coding can exploit the presence of multiple transmit and receive antennasto increase diversity, spectral efficiency, and received power, to improvethe performance in wireless communication systems. Thus far, most work on space-time coding has assumed highly idealized channel fading conditions (e.g., quasi-static or ideal fast fading)as well as perfect channel state information at the receiver. Both of these assumptionsare often questionable in practice. In thi
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Maucho, Geoffrey Sunday. "Weighted distortion methods for error resilient video coding." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=110392.

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Wireless and Internet video applications are hampered by bit errors and packet errors, respectively. In addition, packet losses in best effort Internet applications limit video communication applications. Because video compression uses temporal prediction, compressed video is especially susceptible to the problem of transmission errors in one frame propagating into subsequent frames. It is therefore necessary to develop methods to improve the performance of compressed video in the face of channel impairments. Recent work in this area has focused on estimating the end-to-end distortion, which i
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Naghdinezhad, Amir. "Error resilient methods in scalable video coding (SVC)." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=121379.

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With the rapid development of multimedia technology, video transmission over unreliable channels like Internet and wireless networks, is widely used. Channel errors can result in a mismatch between the encoder and the decoder, and because of the predictive structures used in video coding, the errors will propagate both temporally and spatially. Consequently, the quality of the received video at the decoder may degrade significantly. In order to improve the quality of the received video, several error resilient methods have been proposed. Furthermore, in addition to compression efficiency and e
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Re', M. "Development of machine learning methods for the discrimination between coding and non-coding conserved sequences." Doctoral thesis, Università degli Studi di Milano, 2007. http://hdl.handle.net/2434/148316.

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In the last ten years, numerous complete and almost complete genome sequences have been made available to the research community but the completion of the inventory of coding genes of eukaryotic genomes at least has proved an elusive goal. Classical ab-initio gene prediction methods have been invaluable in the annotation of genome sequences, but show notable weaknesses with respect to genes with unusual structural features, while annotation on the basis of similarity to known genes does not allow the detection of genuinely novel genes. The identification of sequences under evolutionary constr
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Guillen, Jorge Alejandro Butron. "Applying Multiscale Morphology Methods to Image Coding and Compression." Thesis, University of East Anglia, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.502558.

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This thesis examins the problem of efficient compression using graph-morphology operations and answers the question, 'can a lossless image compressor be developed using the information contained in the nodes of the sieve tree?' It shows how humans are sensible to the small scale contained in images and a new way of measuring image quality is introduced, showing that this method can be normalised for comparing the results of different image coders. It provides a review of the scale-space decomposition algorithm denominated sieve and the hierarchical structure that is obtained from applying this
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Chung, How James T. H. "Robust video coding methods for next generation communication networks." Thesis, University of Bristol, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364957.

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Leis, John W. "Spectral coding methods for speech compression and speaker identification." Thesis, Queensland University of Technology, 1998. https://eprints.qut.edu.au/36062/7/36062_Digitised_Thesis.pdf.

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This thesis investigates aspects of encoding the speech spectrum at low bit rates, with extensions to the effect of such coding on automatic speaker identification. Vector quantization (VQ) is a technique for jointly quantizing a block of samples at once, in order to reduce the bit rate of a coding system. The major drawback in using VQ is the complexity of the encoder. Recent research has indicated the potential applicability of the VQ method to speech when product code vector quantization (PCVQ) techniques are utilized. The focus of this research is the efficient representation, calcu
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Blasi, Saverio G. "High efficiency prediction methods for current and next generation video coding." Thesis, Queen Mary, University of London, 2014. http://qmro.qmul.ac.uk/xmlui/handle/123456789/26263.

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Consumption and production of video signals drastically changed in recent years. Due to the advances in digital consumer technology and the growing availability of fast and reliable internet connections, an increasing amount of digital video sequences are being produced, stored and shared every day in different parts of the world. Video signals are inherently larger in size than other types of multimedia signals. For this reason in order to allow transmission and storage of such data, more efficient compression technology is needed. In this thesis novel methods for enhancing the efficiency of
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Eddins, Steven L. "Subband analysis-synthesis and edge modeling methods for image coding." Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/15697.

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Books on the topic "Methods coding"

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Rederstorff, Mathieu. Small non-coding RNAs: Methods and protocols. Humana Press, 2015.

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Blahut, Richard E. Algebraic Methods for Signal Processing and Communications Coding. Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2826-4.

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Blahut, Richard E. Algebraic methods for signal processing and communications coding. Springer-Verlag, 1992.

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Blahut, Richard E. Algebraic Methods for Signal Processing and Communications Coding. Springer New York, 1992.

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H, Liew T., and Yeap B. L, eds. Turbo coding, turbo equalisation, and space-time coding: For transmission over fading channels. J. Wiley, 2002.

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Hanzo, Lajos. Turbo coding, turbo equalisation, and space-time coding for transmission over fading channels. J. Wiley, 2002.

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Buck, Carol J. Step-by-step medical coding. 5th ed. Saunders, 2004.

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Gassiat, Élisabeth. Universal Coding and Order Identification by Model Selection Methods. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96262-7.

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Buck, Carol J. The next step: Advanced medical coding. 2nd ed. Elsevier/Saunders, 2012.

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Association, American Medical, ed. Principles Of ICD-9-CM Coding. 4th ed. AMA Press, 2008.

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Book chapters on the topic "Methods coding"

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Vankov, Emilian R., Rob M. Sylvester, and Christfried H. Focke. "Coding Basics." In Statistical Methods in Epilepsy. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003254515-1.

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Brémaud, Pierre. "Coding Trees." In Discrete Probability Models and Methods. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43476-6_11.

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Ahlswede, Rudolf. "Network Coding." In Probabilistic Methods and Distributed Information. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00312-8_16.

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Engler, Steven, Tanya Marie Luhrmann, Emily Winter, and Andy Alaszewski. "Coding." In The Routledge Handbook of Research Methods in the Study of Religion, 2nd ed. Routledge, 2021. http://dx.doi.org/10.4324/9781003222491-36.

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Brémaud, Pierre. "Universal Source Coding." In Discrete Probability Models and Methods. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43476-6_14.

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Ahlswede, Rudolf. "Random Network Coding." In Probabilistic Methods and Distributed Information. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00312-8_17.

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Conway, Richard, Teun Duynstee, Ben Hyrman, Roger Rowland, and James Speer. "Methods." In C# Class Design Handbook: Coding Effective Classes. Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-1124-2_4.

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Baralt, Melissa. "Coding Qualitative Data." In Research Methods in Second Language Acquisition. John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781444347340.ch12.

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Akramullah, Shahriar. "Video Coding Standards." In Digital Video Concepts, Methods, and Metrics. Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6713-3_3.

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Akramullah, Shahriar. "Video Coding Performance." In Digital Video Concepts, Methods, and Metrics. Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6713-3_5.

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Conference papers on the topic "Methods coding"

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Krishnan, Madhu, Xin Zhao, and Shan Liu. "Advanced transform coding methods for next-generation video coding beyond AV1." In Applications of Digital Image Processing XLVII, edited by Andrew G. Tescher and Touradj Ebrahimi. SPIE, 2024. http://dx.doi.org/10.1117/12.3033114.

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Hobson, Tanner, and Jian Huang. "Visualizing Medical Coding Practices Using Transformer Models." In 14th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013257800003905.

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Krieg, Felix, Jannis Clausius, Marvin Rübenacke, and Stephan ten Brink. "A Comparative Study of Ensemble Decoding Methods for Short Length LDPC Codes." In 2025 14th International ITG Conference on Systems, Communications and Coding (SCC). IEEE, 2025. https://doi.org/10.1109/ieeeconf62907.2025.10949101.

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Preetham, K., Charu Wadhwa, and Abhinav. "Analysis of Network Coding Methods in Wireless Mesh Networks Performance." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10725560.

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Gu, Yuzhe, and Enmao Diao. "ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.562.

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Meilin Yang, M. L. Comer, and E. J. Delp. "Macroblock-level adaptive error concealment methods for MDC." In 2012 Picture Coding Symposium (PCS). IEEE, 2012. http://dx.doi.org/10.1109/pcs.2012.6213260.

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Doshkov, Dimitar, Patrick Ndjiki-Nya, Haricharan Lakshman, Martin Koppel, and Thomas Wiegand. "Towards efficient intra prediction based on image inpainting methods." In 2010 Picture Coding Symposium (PCS). IEEE, 2010. http://dx.doi.org/10.1109/pcs.2010.5702539.

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Kudo, Shinobu, Masaki Kitahara, and Atsushi Shimizu. "Motion vector prediction methods considering prediction continuity in HEVC." In 2016 Picture Coding Symposium (PCS). IEEE, 2016. http://dx.doi.org/10.1109/pcs.2016.7906336.

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Carreira, J., L. Pinto, N. Rodrigues, S. Faria, and P. Assuncao. "Subjective assessment of frame loss concealment methods in 3D video." In 2010 Picture Coding Symposium (PCS). IEEE, 2010. http://dx.doi.org/10.1109/pcs.2010.5702455.

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Zhou, Z., and A. N. Venetsanopoulos. "Morphological methods in image coding." In [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1992. http://dx.doi.org/10.1109/icassp.1992.226171.

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Reports on the topic "Methods coding"

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Rackovsky, Shalom R. Structure and Sequence Coding in Proteins: Methods and Applications. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada303676.

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Weiner, Andrew M. Spectral Methods for High-Speed Optical Transmultiplexing and Coding. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada346411.

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Silver, Christina. Harnessing Dedoose for Qualitative and Mixed-Methods Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/ub9kx30m0ga6o469.

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This seminar, 'Harnessing Dedoose for Qualitative and Mixed-Methods Data Analysis', is a one-day workshop aimed at equipping researchers with the skills to effectively use Dedoose in their research. Led by Christina Silver, an expert in the field, the workshop covers a range of topics including preparing and importing data, coding strategies, data visualization, and troubleshooting common issues in Dedoose. The seminar, which will be taught via Zoom, is a valuable opportunity for researchers to enhance their qualitative and mixed-methods data analysis skills, with all materials available onlin
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Silver, Christina. Harnessing Dedoose for Qualitative and Mixed-Methods Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/sh7jrxebsmx3i469.

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This seminar, 'Harnessing Dedoose for Qualitative and Mixed-Methods Data Analysis', is a one-day workshop aimed at equipping researchers with the skills to effectively use Dedoose in their research. Led by Christina Silver, an expert in the field, the workshop covers a range of topics including preparing and importing data, coding strategies, data visualization, and troubleshooting common issues in Dedoose. The seminar, which will be taught via Zoom, is a valuable opportunity for researchers to enhance their qualitative and mixed-methods data analysis skills, with all materials available onlin
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Meloncelli, Daniel. Foundations of Statistical Analysis in R. Instats Inc., 2025. https://doi.org/10.61700/90jrgibx52lka1460.

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This seminar introduces researchers to analysing relational and correlational research questions in R, covering key methods for hypothesis testing, t-tests, ANOVA, and non-parametric alternatives. Participants will learn to choose the right test, check assumptions, perform analyses, interpret results, and visualise findings using R. The seminar will include live coding demonstrations and practical examples to help participants apply statistical methods to real-world datasets.
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Müller, Andreas. Introduction to MAXQDA (Free Seminar). Instats Inc., 2025. https://doi.org/10.61700/joie6ecpea0x91888.

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This workshop provides a comprehensive introduction to MAXQDA, a leading software for qualitative and mixed methods research, designed to enhance the analytical capabilities of researchers across the social and health sciences. Participants will gain essential skills in data exploration, coding, and analysis, enabling them to effectively manage qualitative research projects and produce insightful findings.
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Kanicki, Jerzy. Optimization of the Flat Panel Display Color and Color Coding Methods for Improved Diagnostic Performance of Soft-Copy Digital Mammography. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada402397.

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Walker, Alex, Brian MacKenna, Peter Inglesby, et al. Clinical coding of long COVID in English primary care: a federated analysis of 58 million patient records in situ using OpenSAFELY. OpenSAFELY, 2021. http://dx.doi.org/10.53764/rpt.3917ab5ac5.

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This OpenSAFELY report is a routine update of our peer-review paper published in the British Journal of General Practice on the Clinical coding of long COVID in English primary care: a federated analysis of 58 million patient records in situ using OpenSAFELY. It is a routine update of the analysis described in the paper. The data requires careful interpretation and there are a number of caveats. Please read the full detail about our methods and discussionis and the full analytical methods on this routine report are available on GitHub. OpenSAFELY is a new secure analytics platform for electron
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Niles, Kenneth, Emily Leathers, Joe Tom, et al. Leveraging artificial intelligence and machine learning (AI/ML) for levee culvert Inspections in USACE Flood Control Systems (FCS). Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49210.

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Levee inspections are essential in preventing flooding within populated regions. Risk assessments of structures are performed to identify potential failure modes to maintain the safety and health of the structure. The data collection and defect coding parts of the inspection process can be labor-intensive and time-consuming. The integration of machine learning (ML) and artificial intelligence (AI) techniques may increase accuracy of assessments and reduce time and cost. To develop a foundation for a fully autonomous inspection process, this research investigates methods to gather information f
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Kim, Ann Y., Tyler Reeb, Jaylee Jordan, and Youngjin Song. Curriculum Evaluation of the Academy of Global Logistics Program: Connections to STEM Education. Mineta Transportation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2246.

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The Academy of Global Logistics (AGL) is a career technical education program developed in collaboration with the Port of Long Beach and the Long Beach Unified School District and with support from the Center for International Trade and Transportation. Students enrolled in the program, implemented at a high school in Long Beach, CA, learn global logistics and supply chain management over the course of their high school career. The program culminates in a capstone project that is evaluated by industry leaders. This research project applies qualitative coding methods to find connections between
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