Academic literature on the topic 'Morphological'

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Journal articles on the topic "Morphological"

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Sukying, Apisak, and Rangsawoot Matwangsaeng. "Exploring Primary School Students’ Morphological Awareness in Thailand." World Journal of English Language 12, no. 6 (September 6, 2022): 388. http://dx.doi.org/10.5430/wjel.v12n6p388.

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Understanding how words are formed is a crucial component of learning new words. A child’s ability to manipulate the morphological elements of words is related to their subsequent vocabulary development. Morphological awareness can also enhance learning new syntactic and semantic properties of morphologically complex words to meet the demands of language production. However, there is a dearth of research on how receptive-productive morphological awareness is acquired, especially in an EFL context. This study used a quantitative design to explore the nature of morphological awareness in 104 Thai primary school students and to investigate the relationships between receptive-productive morphological awareness and vocabulary knowledge. All participants were given six measures of morphological awareness and two vocabulary knowledge tasks. The results revealed the close relationship between the students’ morphological awareness and vocabulary knowledge, both receptively and productively. The results also indicated that Thai primary school students’ morphological awareness grows gradually along the receptive and productive continuum and that morphological knowledge is learned at varying rates and improves with learners’ increased education levels. Indeed, all aspects of morphological awareness contributed to receptive and productive vocabulary knowledge. Overall, the current study highlighted the importance of the word family construct for teaching and learning morphologically complex words. It was also shown that morphological awareness is a crucial mechanism for vocabulary acquisition and growth and a facilitative scaffold for forming morphologically complex words.
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Longtin, Catherine-Marie, Juan Segui, and Pierre A. Hallé. "Morphological priming without morphological relationship." Language and Cognitive Processes 18, no. 3 (June 2003): 313–34. http://dx.doi.org/10.1080/01690960244000036.

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JAFRI, SHAHZADA M. H., ANJUM ANWAR QADRI, KHUBAIB SHAHZAD, and Mulazim Hussain Bukhari. "MORPHOLOGY OF GRAFTED TENDON." Professional Medical Journal 18, no. 01 (March 10, 2011): 112–19. http://dx.doi.org/10.29309/tpmj/2011.18.01.1872.

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This is the first research done to explore the morphologic changes in two stage tendon grafting as compared to one stage tendon grafting. AIMS: To compare morphology of grafted tendons with and with out first stage silicon rubber rod implantation. STUDY DESIGN: Comparative experimental study. PERIOD: 1994-2007. MATERIAL AND METHODS: 30 patients were included in this study. They was divided into 3 groups. Group 1 underwent 2 stage tendon grafting group 3 was used as control morphological study of tendons. RESULTS: Group 1 (1-stage) tendon grafting showed degeneration and fibrous reaction as morphological changes. Group 2. (2 Stage) appeared as normal tendons morphologically. CONCLUSION: This study concludes that instead of direct tendon grafting, two stage tendon grafting is recommended.
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Cabral, A., T. H. D. Berger, J. H. F. F. Middag-Broekman, and M. E. Boon. "Unequivocal morphological diagnosis of fungi in morphologically abnormal nails." Histopathology 48, no. 7 (June 2006): 862–67. http://dx.doi.org/10.1111/j.1365-2559.2006.02415.x.

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JACOB, GUNNAR. "Morphological priming in bilingualism research." Bilingualism: Language and Cognition 21, no. 3 (October 11, 2017): 443–47. http://dx.doi.org/10.1017/s1366728917000451.

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The review describes how morphological priming can be utilised to study the processing of morphologically complex words in bilinguals. The article starts with an overview of established experimental paradigms based on morphological priming, discusses a number of basic methodological pitfalls with regard to experimental design and materials, then reviews previous L2 morphological priming studies, and concludes with a brief discussion of recent developments in the field as well as possible future directions.
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Feldman, Laurie Beth, Dana M. Basnight-Brown, and Matthew John Pastizzo. "Semantic influences on morphological facilitation." Mental Lexicon 1, no. 1 (May 5, 2006): 59–84. http://dx.doi.org/10.1075/ml.1.1.06fel.

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Two semantic variables, concreteness and morphological family size, were examined in a single word and a primed lexical decision task. Single word recognition latencies were faster for concrete relative to abstract targets only when morphological family size was small. The magnitude of morphological facilitation for primes related by inflection was greater than by derivation although both revealed a very similar interaction of concreteness and family size. In summary, concreteness influenced morphological processing so as to produce slower decision latencies for small family abstract than concrete words both in a single word and in a morphologically primed context. However, magnitudes of facilitation in isolation from baselines provided an incomplete account of morphological processing.
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Bick, Atira S., Ram Frost, and Gadi Goelman. "Imaging Implicit Morphological Processing: Evidence from Hebrew." Journal of Cognitive Neuroscience 22, no. 9 (September 2010): 1955–69. http://dx.doi.org/10.1162/jocn.2009.21357.

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Is morphology a discrete and independent element of lexical structure or does it simply reflect a fine-tuning of the system to the statistical correlation that exists among orthographic and semantic properties of words? Hebrew provides a unique opportunity to examine morphological processing in the brain because of its rich morphological system. In an fMRI masked priming experiment, we investigated the neural networks involved in implicit morphological processing in Hebrew. In the lMFG and lIFG, activation was found to be significantly reduced when the primes were morphologically related to the targets. This effect was not influenced by the semantic transparency of the morphological prime, and was not found in the semantic or orthographic condition. Additional morphologically related decrease in activation was found in the lIPL, where activation was significantly modulated by semantic transparency. Our findings regarding implicit morphological processing suggest that morphology is an automatic and distinct aspect of visually processing words. These results also coincide with the behavioral data previously obtained demonstrating the central role of morphological processing in reading Hebrew.
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Premjith, B., and K. P. Soman. "Deep Learning Approach for the Morphological Synthesis in Malayalam and Tamil at the Character Level." ACM Transactions on Asian and Low-Resource Language Information Processing 20, no. 6 (November 30, 2021): 1–17. http://dx.doi.org/10.1145/3457976.

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Morphological synthesis is one of the main components of Machine Translation (MT) frameworks, especially when any one or both of the source and target languages are morphologically rich. Morphological synthesis is the process of combining two words or two morphemes according to the Sandhi rules of the morphologically rich language. Malayalam and Tamil are two languages in India which are morphologically abundant as well as agglutinative. Morphological synthesis of a word in these two languages is challenging basically because of the following reasons: (1) Abundance in morphology; (2) Complex Sandhi rules; (3) The possibilty in Malayalam to form words by combining words that belong to different syntactic categories (for example, noun and verb); and (4) The construction of a sentence by combining multiple words. We formulated the task of the morphological generation of nouns and verbs of Malayalam and Tamil as a character-to-character sequence tagging problem. In this article, we used deep learning architectures like Recurrent Neural Network (RNN) , Long Short-Term Memory Networks (LSTM) , Gated Recurrent Unit (GRU) , and their stacked and bidirectional versions for the implementation of morphological synthesis at the character level. In addition to that, we investigated the performance of the combination of the aforementioned deep learning architectures and the Conditional Random Field (CRF) in the morphological synthesis of nouns and verbs in Malayalam and Tamil. We observed that the addition of CRF to the Bidirectional LSTM/GRU architecture achieved more than 99% accuracy in the morphological synthesis of Malayalam and Tamil nouns and verbs.
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ARIYANTI, YANTI, and ACHMAD FARAJALLAH. "Short Communication: Species confirmation of juvenile cloudy grouper, Epinephelus erythrurus (Valenciennes, 1828), based on a morphologic analysis and partial CO1 gene sequencing." Biodiversitas Journal of Biological Diversity 20, no. 3 (March 3, 2019): 914–21. http://dx.doi.org/10.13057/biodiv/d200341.

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Abstract. Ariyanti Y, Farajallah A. 2019. Species confirmation of juvenile cloudy grouper, Epinephelus erythrurus (Valenciennes, 1828), based on a morphologic analysis and partial CO1 gene sequencing. Biodiversitas 20: 914-921. The genus Epinephelus is the most species among the genera within the subfamily Epinephelinae. Species identification techniques for groupers, especially in the Epinephelus, are commonly based on color patterns and a suite of morphological characters, including body shape and the size and number of fins, scales and gill rakers. In some species, juveniles are morphologically distinct from adults of the same species, making morphological identification highly problematic. This present work will provide some morphological description or variations of juveniles that have been identified as Epinephelus erythrurus based on CO1 sequences. Further, the present study demonstrates that a molecular genetic technique, based on partial sequencing of the mitochondrial CO1 gene, may be used for the rapid species confirmation of every developmental stage and phase of an organism (juvenile E. erythrurus). Two DNA sequences of E. erythrurus from the Pangandaran District (7o43’8.31”S 108o30’11.59”E) have been submitted to GenBank under accession numbers KP998441 and KP998442.
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Hanken, James, and W. Arthur. "Morphological Evolution." Evolution 40, no. 2 (March 1986): 443. http://dx.doi.org/10.2307/2408828.

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Dissertations / Theses on the topic "Morphological"

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Yusupujiang, Zulipiye. "Using Unsupervised Morphological Segmentation to Improve Dependency Parsing for Morphologically Rich Languages." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-354459.

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In this thesis, we mainly investigate the influence of using unsupervised morphological segmentation as features on the dependency parsing of morphologically rich languages such as Finnish, Estonian, Hungarian, Turkish, Uyghur, and Kazakh. Studying the morphology of these languages is of great importance for the dependency parsing of morphologically rich languages since dependency relations in a sentence of these languages mostly rely on morphemes rather than word order. In order to investigate our research questions, we have conducted a large number of parsing experiments both on MaltParser and UDPipe. We have generated the supervised morphology and the predicted POS tags from UDPipe, and obtained the unsupervised morphological segmentation from Morfessor, and have converted the unsupervised morphological segmentation into features and added them to the UD treebanks of each language. We have also investigated the different ways of converting the unsupervised segmentation into features and studied the result of each method. We have reported the Labeled Attachment Score (LAS) for all of our experimental results. The main finding of this study is that dependency parsing of some languages can be improved simply by providing unsupervised morphology during parsing if there is no manually annotated or supervised morphology available for such languages. After adding unsupervised morphological information with predicted POS tags, we get improvement of 4.9%, 6.0%, 8.7%, 3.3%, 3.7%, and 12.0% on the test set of Turkish, Uyghur, Kazakh, Finnish, Estonian, and Hungarian respectively on MaltParser, and the parsing accuracies have been improved by 2.7%, 4.1%, 8.2%, 2.4%, 1.6%, and 2.6% on the test set of Turkish, Uyghur, Kazakh, Finnish, Estonian, and Hungarian respectively on UDPipe when comparing the results from the models which do not use any morphological information during parsing.
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Swarnakar, Vivek. "Optimal morphological filters /." Online version of thesis, 1993. http://hdl.handle.net/1850/11703.

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Sourla, Antigone. "Morphological aspects of intracrinology." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq25461.pdf.

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Lindgren, Lars. "dkrMorph : A Syriac Morphological Analyzer." Thesis, Uppsala universitet, Institutionen för informatik och media, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-154515.

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This thesis proposes a method for automatic morphological analysis of Syriac - an under-resourced language for which there are no natural language processing tools such as morphological analyzers readily available. The proposed method uses a data-driven approach with automatically generated and weighted regular expression rules and patterns to cater for morphological attribute tagging and root- and lexeme derivation for dictionary linkage. The method is compared against a baseline, which it outperforms on all tests, and significantly outperforms for unknown words. When trained on all available training data, the analyzer achieves an accuracy of 95.53%.
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Stoimenof, Lara. "A morphological study of chocolate." Thesis, University of Cambridge, 1997. https://www.repository.cam.ac.uk/handle/1810/251617.

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Hereford, James McCracken. "Optical implementation of morphological transformations." Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/14891.

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Ozdemir, Metin. "Morphological kinetics of facetted crystals." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/27898.

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Walsh, Linda. "The nature of morphological representations /." Thesis, McGill University, 1985. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=73987.

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Xu, Chun. "Morphological subtypes of Alzheimer's disease." Thesis, McGill University, 1992. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=61223.

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Initiating a computerized population-based registry of Alzheimer's disease (AD), the IMAGE Project has developed a multimatrix model to investigate the disease. Part of the IMAGE Project 1, the neuropathological study, is designed to correlate clinical, neuropsychological and neuropathological features of AD for characterization of subtypes. This thesis reports mainly the morphometrical studies associated with project 1.
The study, based on (a) brain autopsy, (b) standardized histopathology, and (c) quantitative morphometry, shows heterogeneity in pathophenotypes of AD. Four morphological subgroups have been presently recognizes, by their characteristic histological abnormalities, and the densities, the distribution, and progression patterns of their lesions. The heterogeneity in pathophenotypes indicates that AD is not a disease with a single cause, but rather a syndrome with multiple elements involved in etiology and pathogenesis. These lead to different pathological features, and correspondingly, similar, but distinguishable clinical expressions.
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Loste, Madoz Eva. "Morphological control of calcium carbonate." Thesis, Queen Mary, University of London, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398861.

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Books on the topic "Morphological"

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Don, Jan. Morphological conversion. Utrecht: Utrecht University, Research Institute for Languageand Speech, 1993.

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Morphological productivity. Cambridge [England]: Cambridge University Press, 2001.

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Siddiqi, Daniel, and Heidi Harley, eds. Morphological Metatheory. Amsterdam: John Benjamins Publishing Company, 2016. http://dx.doi.org/10.1075/la.229.

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Morphological naturalness. Ann Arbor, MI, USA: Karoma Publishers, 1988.

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Dammel, Antje, and Oliver Schallert, eds. Morphological Variation. Amsterdam: John Benjamins Publishing Company, 2019. http://dx.doi.org/10.1075/slcs.207.

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Flin, P., and H. W. Duerbeck, eds. Morphological Cosmology. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/3-540-51223-3.

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Ghazi-Zahedi, Keyan. Morphological Intelligence. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20621-5.

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Henk J. A. M. Heijmans. Morphological image operators. Boston: Academic Press, 1994.

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Seifer, Gerhard, ed. Morphological Tumor Markers. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-71356-9.

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Manova, Stela. Understanding Morphological Rules. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-9547-3.

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Book chapters on the topic "Morphological"

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Ghazi-Zahedi, Keyan. "From Morphological Computation to Morphological Intelligence." In Morphological Intelligence, 1–28. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20621-5_1.

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Ghazi-Zahedi, Keyan. "Information Theory—A Primer." In Morphological Intelligence, 29–56. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20621-5_2.

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Ghazi-Zahedi, Keyan. "A Theory of Morphological Intelligence." In Morphological Intelligence, 57–107. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20621-5_3.

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Ghazi-Zahedi, Keyan. "Numerical Analysis of the Morphological Intelligence Quantifications." In Morphological Intelligence, 109–31. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20621-5_4.

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Ghazi-Zahedi, Keyan. "Applications." In Morphological Intelligence, 133–54. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20621-5_5.

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Ghazi-Zahedi, Keyan. "Conclusions." In Morphological Intelligence, 155–56. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20621-5_6.

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Libben, Gary. "Morphological Parsing and Morphological Structure." In Reading Complex Words, 221–39. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4757-3720-2_10.

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Adam, Galit, and Outi Bat-El. "Morphological knowledge without morphological structure." In Linguistik Aktuell/Linguistics Today, 197–222. Amsterdam: John Benjamins Publishing Company, 2008. http://dx.doi.org/10.1075/la.134.08mor.

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Comer, Mary L., and Edward J. Delp. "Morphological operations." In The Colour Image Processing Handbook, 210–27. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5779-1_11.

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Błędzki, Leszek A., and Jan Igor Rybak. "Morphological Abbreviations." In Freshwater Crustacean Zooplankton of Europe, 441–42. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29871-9_12.

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Conference papers on the topic "Morphological"

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Wei Li. "Composite morphological filters in multiresolution morphological decomposition." In Fifth International Conference on Image Processing and its Applications. IEE, 1995. http://dx.doi.org/10.1049/cp:19950760.

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Movsesyan, A. A. "Russian neural morphological tagging: do not merge tagsets." In Dialogue. RSUH, 2022. http://dx.doi.org/10.28995/2075-7182-2022-21-402-411.

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There are multiple morphologically annotated corpora of Russian available. They have different tagsets and annotation guidelines, which makes them difficult to use together. We proposed a neural morphological tagger for Russian based on multitask learning technique which is able to predict morphological tags of words for different tagsets. We evaluated our model on various corpora and showed that utilising multiple corpora without merging them not only improves tagging performance but allows for scalable indirect conversion between multiple tagsets in all directions. Furthermore, we also showed that treating each corpus separately is more efficient than merging the corpora even if they share the same tagset.
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Reshetov, Alexander. "Morphological antialiasing." In the 1st ACM conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1572769.1572787.

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Wilson, Stephen S. "Morphological Networks." In 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, edited by William A. Pearlman. SPIE, 1989. http://dx.doi.org/10.1117/12.970058.

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Quan, Shuxue. "Morphological demosaicking." In IS&T/SPIE Electronic Imaging, edited by Jaakko T. Astola, Karen O. Egiazarian, Nasser M. Nasrabadi, and Syed A. Rizvi. SPIE, 2009. http://dx.doi.org/10.1117/12.806297.

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Leigh, Sang-won, and Pattie Maes. "Morphological Interfaces." In CHI '17: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3027063.3052758.

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Rivest, Jean-Francois, Pierre Soille, and Serge Beucher. "Morphological gradients." In SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, edited by Edward R. Dougherty, Jaakko T. Astola, and Charles G. Boncelet, Jr. SPIE, 1992. http://dx.doi.org/10.1117/12.58373.

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Alvarez, Luis, Luis Baumela, Pedro Henriquez, and Pablo Marquez-Neila. "Morphological snakes." In 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2010. http://dx.doi.org/10.1109/cvpr.2010.5539900.

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Bongard, Josh C. "Morphological scaffolding." In the 12th annual conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1830483.1830600.

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Kim, Woonkyung M. "Morphological approach to smoothing: stochastic morphological sampling theorem." In Photonics West '98 Electronic Imaging, edited by Edward R. Dougherty and Jaakko T. Astola. SPIE, 1998. http://dx.doi.org/10.1117/12.304591.

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Reports on the topic "Morphological"

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White, J. M. Morphological aspects of surface reactions. Office of Scientific and Technical Information (OSTI), August 1992. http://dx.doi.org/10.2172/7202690.

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White, J. M. Morphological aspects of surface reactions. Office of Scientific and Technical Information (OSTI), September 1991. http://dx.doi.org/10.2172/6215662.

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McGuire, Dennis W. The Morphological Processing of Binary Images. Fort Belvoir, VA: Defense Technical Information Center, October 1993. http://dx.doi.org/10.21236/ada274310.

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Lee, Young-Suk. Morphological Analysis for Statistical Machine Translation. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada460276.

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Vaerenbergh, S. Van, S. R. Coriell, and G. B. McFadden. Morphological stability of a binary alloy:. Gaithersburg, MD: National Institute of Standards and Technology, 2000. http://dx.doi.org/10.6028/nist.ir.6586.

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Schwartz, Daniel S. Quantification and Uncertainty in Particle Morphological Analysis. Office of Scientific and Technical Information (OSTI), June 2014. http://dx.doi.org/10.2172/1133753.

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Taylor, R. B. Morphological changes at the dune restoration sites. Natural Resources Canada/CMSS/Information Management, 1989. http://dx.doi.org/10.4095/329111.

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Neustroev, M. P., E. I. Elbiadova, S. G. Petrova, N. P. Tarabukina, and A. A. Popov. MORPHOLOGICAL AND CULTURAL-BIOCHEMICAL PROPERTIES OF THE AMPLIFIER. Издательский дом «Среда», 2018. http://dx.doi.org/10.18411/21950-110-113.

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Anderson, Sandra. Eutamias minimus and E. amoenus : morphological cluster analysis. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2262.

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Coriell, S. R. Morphological instability in phase-field models of solidification. Gaithersburg, MD: National Institute of Standards and Technology, 1993. http://dx.doi.org/10.6028/nist.ir.5279.

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