Relevant bibliographies by topics / Code trees

Contents

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

Academic literature on the topic 'Code trees'

Author: Grafiati
Published: 28 May 2022
Last updated: 30 July 2025

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Journal articles on the topic "Code trees"

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Muslih, A. M., N. E. Hidayat, T. Arlita, A. Farida, I. Dewiyanti, and A. Sugara. "Mapping the tree damage index: A case study on the green lane in the urban area of Banda Aceh City." IOP Conference Series: Earth and Environmental Science 1352, no. 1 (2024): 012046. http://dx.doi.org/10.1088/1755-1315/1352/1/012046.

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Abstract Climate change mitigation efforts implemented by the Government of Banda Aceh by building green lanes with trees. The level of the tree’s ability to absorb carbon is highly correlated with the vitality of the tree itself. The health status of a tree can be known by the tree’s damage level. The aim of the research is to provide information on how much damage to trees and the degree of severity. The research was carried out on green lanes on urban streets in Banda Aceh City as many as 8 lines. The object of research is vegetation with the tree growth phase category, and tree damage inde
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R.Nagajyothi, Dr. R. MurugalakshmiKumari, and V.G.Jyothimani. "IDENTIFICATION OF TREES USING QR CODE IN COLLEGE CAMPUS." international journal of engineering technology and management sciences 7, no. 5 (2023): 117–23. http://dx.doi.org/10.46647/ijetms.2023.v07i05.013.

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Trees are the foremost source for producing the oxygen in environment and ensure a healthy productive and sustainable environment. In our campus, we have number of trees with different species. Accurately identifying and managing a large number of trees can be a challenging task. So we have generated QR code for each distinct tree and mapped them with its description like tree id, botanical name, english name, tamil name, family and its medicinal uses. Students and visitor can get details about the tree by scanning the QR code with their smartphone camera which has QR code reader apps. The res
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Markenzon, Lilian, Oswaldo Vernet, and Paulo Renato da Costa Pereira. "A compact code for k-trees." Pesquisa Operacional 29, no. 3 (2009): 493–502. http://dx.doi.org/10.1590/s0101-74382009000300001.

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In this paper, we propose a new representation for k-trees - the compact code, which reduces the required memory space from O(nk) to O(n). The encoding and decoding algorithms, based on a simplification of a priority queue, are linear and very simple. As long as the k-tree is represented by its compact code, the exact vertex coloring problem can be solved in time O(n).
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Evans, Kate M., Lisa J. Brutcher, and Bonnie S. Konishi. "Implementation of Bar-code Technology in a Tree Fruit Breeding Program." HortScience 47, no. 1 (2012): 149. http://dx.doi.org/10.21273/hortsci.47.1.149.

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Inventory control of trees and fruit samples in the Washington State University apple breeding program has been simplified by the use of bar codes. Tree labels incorporate individual bar-coded identities that can be scanned in the field when taking measurements or collecting samples. Bar codes on fruit sample labels also simplify data recording as well as improve the efficiency of the program by greatly reducing the risk of errors. The interface of bar-code identities with data organization and statistical software makes data analysis more straightforward.
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Gergely, T., T. Gyimóthy, and F. Havasi. "Binary code compression based on decision trees." Proceedings of the Estonian Academy of Sciences. Engineering 11, no. 4 (2005): 269. http://dx.doi.org/10.3176/eng.2005.4.02.

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Raychev, Veselin, Pavol Bielik, and Martin Vechev. "Probabilistic model for code with decision trees." ACM SIGPLAN Notices 51, no. 10 (2016): 731–47. http://dx.doi.org/10.1145/3022671.2984041.

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Korsh, James, and Paul Lafollette. "A loopless Gray code for rooted trees." ACM Transactions on Algorithms 2, no. 2 (2006): 135–52. http://dx.doi.org/10.1145/1150334.1150335.

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Bahr, Patrick, and Graham Hutton. "Beyond Trees: Calculating Graph-Based Compilers (Functional Pearl)." Proceedings of the ACM on Programming Languages 8, ICFP (2024): 370–94. http://dx.doi.org/10.1145/3674638.

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Bahr and Hutton recently developed an approach to compiler calculation that allows a wide range of compilers to be derived from specifications of their correctness. However, a limitation of the approach is that it results in compilers that produce tree-structured code. By contrast, realistic compilers produce code that is essentially graph-structured, where the edges in the graph represent jumps that transfer the flow of control to other locations in the code. In this article, we show how their approach can naturally be adapted to calculate compilers that produce graph-structured code, without
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Wang, Yanlin, and Hui Li. "Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 16 (2021): 14015–23. http://dx.doi.org/10.1609/aaai.v35i16.17650.

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Code completion has become an essential component of integrated development environments. Contemporary code completion methods rely on the abstract syntax tree (AST) to generate syntactically correct code. However, they cannot fully capture the sequential and repetitive patterns of writing code and the structural information of the AST. To alleviate these problems, we propose a new code completion approach named CCAG, which models the flattened sequence of a partial AST as an AST graph. CCAG uses our proposed AST Graph Attention Block to capture different dependencies in the AST graph for repr
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Wendt, Alan L. "Fast code generation using automatically-generated decision trees." ACM SIGPLAN Notices 25, no. 6 (1990): 9–15. http://dx.doi.org/10.1145/93548.93549.

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Dissertations / Theses on the topic "Code trees"

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Shippey, Thomas Joshua. "Exploiting abstract syntax trees to locate software defects." Thesis, University of Hertfordshire, 2015. http://hdl.handle.net/2299/16365.

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Context. Software defect prediction aims to reduce the large costs involved with faults in a software system. A wide range of traditional software metrics have been evaluated as potential defect indicators. These traditional metrics are derived from the source code or from the software development process. Studies have shown that no metric clearly out performs another and identifying defect-prone code using traditional metrics has reached a performance ceiling. Less traditional metrics have been studied, with these metrics being derived from the natural language of the source code. These newer
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David, Åström. "Implementation and Evaluation of an Emulated Permission System for VS Code Extensions using Abstract Syntax Trees." Thesis, Linköpings universitet, Programvara och system, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177474.

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Permission systems are a common security feature in browser extensions and mobile applications to limit their access to resources outside their own process. IDEs such as Visual Studio Code, however, have no such features implemented, and therefore leave extensions with full user permissions. This thesis explores how VS Code extensions access external resources and presents a proof-of-concept tool that emulates a permission system for extensions. This is done through static analysis of extension source code using abstract syntax trees, scanning for usage of Extension API methods and Node.js dep
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Петров, Володимир Вікторович, Владимир Викторович Петров та Volodymyr Viktorovych Petrov. "Исследование множеств неравномерных биномиальных чисел при постоянном параметре n". Thesis, Издательство СумГУ, 2006. http://essuir.sumdu.edu.ua/handle/123456789/17722.

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Buonomo, Umberto. "Tree-SPH code EvoL: profiling and optimization." Doctoral thesis, Università degli studi di Padova, 2012. http://hdl.handle.net/11577/3422492.

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This thesis is part of a larger project devoted to modeling galaxies via numerical hydrodynamical simulations, from their formation within their cosmological background throughout their evolutionary history. The thesis has two primary objectives, strictly linked with one another. The first one, of astrophysical nature, is to develop a purely theoretical scenario for the formation and evolution of galaxies in the cosmological context. Given the complexity of the targeted physical systems, it is necessary to rely upon on numerical simulations which in turn require an appropriate numerical cod
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Nagnibeda, Tatiana, Wolfgang Woess, and Andreas Cap@esi ac at. "Random Walks on Trees with Finitely Many Cone Types." ESI preprints, 2001. ftp://ftp.esi.ac.at/pub/Preprints/esi1009.ps.

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Ordonio, Robert Romero. "An automated tool to facilitate code translation for software fault tree analysis." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA273205.

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Dick, Janet McPherson. "Influence of reproductive structures on the morphology and physiology of Pinus contorta trees." Thesis, University of Edinburgh, 1989. http://hdl.handle.net/1842/13648.

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Zaidan, Mahdi Yahya. "Trellis coded modulation with σ-tree signal constellations". Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/14984.

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Siwik, Eden Isabel Helen. "Spatial, temporal and dendrochronological comparisons of mercury in Ontario deciduous trees." Thesis, Kingston, Ont. : [s.n.], 2007. http://hdl.handle.net/1974/950.

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Cohen, Randi L. "Giant impacts during planet formation : parallel tree code simulations using smooth particle hydrodynamics /." Diss., Digital Dissertations Database. Restricted to UC campuses, 2006. http://uclibs.org/PID/11984.

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Books on the topic "Code trees"

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Harris, Esmond. Coed. Gwasg Gomer, 1998.

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Office, Great Britain Welsh. Gorchmynion cadw coed. Welsh Office, 1997.

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Great Britain. National Assembly for Wales., ed. Coed wedi'u gwarchod: Canllaw i'r drefn cadw coed = Protected trees : a guide to tree preservation procedures. Cynulliad Cenedlaethol Cymru, 1999.

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New Zealand. Dept. of Labour. Approved code of practice for safety and health in tree work. Occupational Safety and Health Service, Dept. of Labour, 1994.

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Tyernovaya, Lyudmila. Ecosemantics of the geopolitical space. INFRA-M Academic Publishing LLC., 2017. http://dx.doi.org/10.12737/24216.

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2017 was declared the year of ecology in the Russian Federation. Its purpose is to attract public attention to the issues of environmental development of the country, conservation of biological diversity and environmental safety. This can be achieved by restoring not only the connection of man with nature, but also the knowledge of its language — codes of trees, flowers, and animals, which form one of the foundations of the world picture, lost over a long period of industrial development. The monograph reveals the content of these codes, which allows us to better understand the processes that
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T, Feagin, Overland D, University of Houston--Clear Lake. Research Institute for Computing and Information Systems., and Lyndon B. Johnson Space Center., eds. Communications and tracking expert systems study. Research Institute for Computing and Information Systems, University of Houston--Clear Lake, 1987.

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National Steering Committee for Management of Seed, Cone, and Regeneration Insects (U.S.). Meeting. Fo[u]rth report: National Steering Committee for Management of Seed, Cone, and Regeneration Insects. USDA Forest Service, Forest Pest Management, 1991.

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United States. President (1989-1993 : Bush). Proposed legislation: "Savings and Economic Growth Act of 1990" : message from the President of the United States transmitting a draft of proposed legislation to amend the Internal Revenue Code of 1986 to provide incentives for savings and investment in order to stimulate economic growth. U.S. G.P.O., 1990.

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Valiente, Gabriel. Algorithms on Trees and Graphs: With Python Code. Springer International Publishing AG, 2021.

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Valiente, Gabriel. Algorithms on Trees and Graphs: With Python Code. Springer International Publishing AG, 2022.

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Book chapters on the topic "Code trees"

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Riazanov, Alexandre, and Andrei Voronkov. "Partially Adaptive Code Trees." In Logics in Artificial Intelligence. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-40006-0_15.

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Chambers, Falcon. "Trees and vegetation." In The Electronic Communications Code and Property Law. Routledge, 2018. http://dx.doi.org/10.1201/9781351007283-29.

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Cuntz, Hermann. "TREES Toolbox: Code for Neuronal Branching." In Encyclopedia of Computational Neuroscience. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-6675-8_793.

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Nakano, Shin-ichi. "A Gray Code of Ordered Trees." In Lecture Notes in Computer Science. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2340-9_3.

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Cuntz, Hermann. "The TREES Toolbox – Code for Neuronal Branching." In Encyclopedia of Computational Neuroscience. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7320-6_793-2.

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Sperduti, Alessandro, and Antonina Starita. "An Example of Neural Code: Neural Trees Implemented by LRAAMs." In Artificial Neural Nets and Genetic Algorithms. Springer Vienna, 1993. http://dx.doi.org/10.1007/978-3-7091-7533-0_6.

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Guo, Xin, Ruyun Zhang, Lu Zhou, and Xiaozhen Lu. "Precise Code Clone Detection with Architecture of Abstract Syntax Trees." In Wireless Algorithms, Systems, and Applications. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19211-1_10.

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Kropp, Holger, and Carsten Reuter. "A Mapping Methodology for Code Trees onto LUT-Based FPGAs." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44614-1_25.

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Chang, Yu-Hsuan, Ro-Yu Wu, Cheng-Kuan Lin, and Jou-Ming Chang. "A Loopless Algorithm for Generating (k, m)-ary Trees in Gray-Code Order." In Frontiers in Algorithmics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59901-0_11.

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Cameron, Ben, Aaron Grubb, and Joe Sawada. "A Pivot Gray Code Listing for the Spanning Trees of the Fan Graph." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89543-3_5.

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Conference papers on the topic "Code trees"

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Sharma, Nakul, Siddharth Shinde, Swarup Bhosale, and Suyog Patil. "SourcePlag - Source Code Plagiarism Detection Based on Abstract Syntax Trees." In 2024 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS). IEEE, 2024. https://doi.org/10.1109/icbds61829.2024.10837209.

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Akathya, Ve Ram, Yadukul Suresh, Sahen Shivadutt, and Kavitha C.R. "Interactive Code Parsing and Expression Tree Visualization." In 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63760.2024.10910649.

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Beger, Claas, and Saikat Dutta. "CoCoNUT: Structural Code Understanding does not fall out of a tree." In 2025 IEEE/ACM International Workshop on Large Language Models for Code (LLM4Code). IEEE, 2025. https://doi.org/10.1109/llm4code66737.2025.00021.

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Sumigawa, Kentaro, and Hirosuke Yamamoto. "Coding of binary AIFV code trees." In 2017 IEEE International Symposium on Information Theory (ISIT). IEEE, 2017. http://dx.doi.org/10.1109/isit.2017.8006709.

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Hashimoto, Kengo, and Ken-ichi Iwata. "On the Optimality of Binary AIFV Codes with Two Code Trees." In 2021 IEEE International Symposium on Information Theory (ISIT). IEEE, 2021. http://dx.doi.org/10.1109/isit45174.2021.9518105.

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Hashimoto, Kengo, Ken-ichi Iwata, and Hirosuke Yamamoto. "Enumeration and Coding of Compact Code Trees for Binary AIFV Codes." In 2019 IEEE International Symposium on Information Theory (ISIT). IEEE, 2019. http://dx.doi.org/10.1109/isit.2019.8849775.

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Raychev, Veselin, Pavol Bielik, and Martin Vechev. "Probabilistic model for code with decision trees." In SPLASH '16: Conference on Systems, Programming, Languages, and Applications: Software for Humanity. ACM, 2016. http://dx.doi.org/10.1145/2983990.2984041.

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Kim, Seohyun, Jinman Zhao, Yuchi Tian, and Satish Chandra. "Code Prediction by Feeding Trees to Transformers." In 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE). IEEE, 2021. http://dx.doi.org/10.1109/icse43902.2021.00026.

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Heymann, R., T. G. Swart, and H. C. Ferreira. "Correcting adjacent errors using permutation code trees." In AFRICON 2011. IEEE, 2011. http://dx.doi.org/10.1109/afrcon.2011.6072122.

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Schaeckeler, Stefan, and Weijia Shang. "Procedural Abstraction with Reverse Prefix Trees." In 2009 7th Annual IEEE/ACM International Symposium on Code Generation and Optimization (CGO). IEEE, 2009. http://dx.doi.org/10.1109/cgo.2009.25.

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Reports on the topic "Code trees"

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Shanahan, Erin, Rob Daley, Lydia Druin, et al. Status of whitebark pine in the Greater Yellowstone ecosystem: A step-trend analysis with comparisons from 2004 to 2019. National Park Service, 2025. https://doi.org/10.36967/2306875.

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Whitebark pine (Pinus albicaulis) is a high-elevation conifer of western North America. Its nutritious cones are forage for the federally threatened grizzly bear (Ursus arctos), Clark?s nutcracker (Nucifraga columbiana), red squirrel (Tamiasciurus hudsonicus), and numerous other subalpine species. It is a pioneer species in harsh, exposed subalpine zones, creating microclimates that help other conifers establish, such as subalpine fir (Abies lasiocarpa). However, substantial damage from a nonnative pathogen, white pine blister rust (Cronartium ribicola), unprecedented mountain pine beetle (Den
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Shanahan, Erin, Rob Daley, Lydia Druin, Kristin Legg, and Sonya Daw. Status of whitebark pine in the Greater Yellowstone Ecosystem: A step-trend analysis with comparisons from 2004 to 2023. National Park Service, 2025. https://doi.org/10.36967/2313989.

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Whitebark pine (Pinus albicaulis) is a high-elevation conifer of the northern Rocky Mountains and the Pacific Northwest. This slow-growing, long-lived conifer influences critical ecosystem functions in subalpine environments, including snow capture, landscape stability, soil amelioration, and overall forest health and resilience. Moreover, its nutritious seeds feed the federally threatened grizzly bear (Ursus arctos), Clark’s nutcracker (Nucifraga columbiana), red squirrel (Tamiasciurus hudsonicus), and other species. However, whitebark pine is declining in high-elevation forests due to severa
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Ballardie, A. Core Based Trees (CBT) Multicast Routing Architecture. RFC Editor, 1997. http://dx.doi.org/10.17487/rfc2201.

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Ward, Kimiora. Sierra Nevada Network white pine monitoring: 2022 annual report. National Park Service, 2023. http://dx.doi.org/10.36967/2301003.

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Five-needle white pines (Family Pinaceae, Genus Pinus, Subgenus Strobus), and in particular whitebark pine (Pinus albicaulis), limber pine (P. flexilis), and foxtail pine (P. balfouriana) are foundation species in upper subalpine and treeline forests of several National Park Service Pacific West Region parks, including Sequoia and Kings Canyon National Parks (SEKI) and Yosemite National Park (YOSE). The Sierra Nevada Network Inventory & Monitoring Program, in collaboration with the Klamath Network, Upper Columbia Basin Network, and Mojave Desert Network have implemented a joint long-term m
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Ballardie, A. Core Based Trees (CBT version 2) Multicast Routing -- Protocol Specification --. RFC Editor, 1997. http://dx.doi.org/10.17487/rfc2189.

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Ward, Kimiora. Sierra Nevada Network high elevation white pine monitoring: 2021 annual report. National Park Service, 2024. http://dx.doi.org/10.36967/2302327.

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Five-needle white pines (Family Pinaceae, Genus Pinus, Subgenus Strobus), and in particular whitebark pine (Pinus albicaulis), limber pine (P. flexilis), and foxtail pine (P. balfouriana) are foundation species in upper subalpine and treeline forests of several National Park Service Pacific West Region parks, including Sequoia and Kings Canyon National Parks (SEKI) and Yosemite National Park (YOSE). The Sierra Nevada Network Inventory & Monitoring Program, in collaboration with the Klamath Network, Upper Columbia Basin Network, and Mojave Desert Network have implemented a joint long-term m
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Cooper, Talya, Greg Janée, Kay P. Maye, Nick Ruhs, and Seth Erickson. Code Curation Curriculum. University of Minnesota Libraries, 2024. http://dx.doi.org/10.24926/2024.265764.

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A collection of materials used to instruct individuals how to curate code data generated as part of the Data Curation Network Institute of Museum and Library Science (IMLS) grant “Developing Specialized Data Curation Training to Address Needed Expertise in Focused Areas" and taught at a pilot workshop in October 2023. This is primarily targeted towards data stewards, but can be used by any and all when instructing on code data curation concerns. Copies of files are also available in GitHub [https://github.com/DataCurationNetwork/curation-curriculum/tree/main/Specialized%20Data%20Types], which
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Jankovsky, Zachary Kyle, and Matthew R. Denman. Modification of the SAS4A Safety Analysis Code for Integration with the ADAPT Discrete Dynamic Event Tree Framework. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1367404.

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Storm, Servaas. The Art of Paradigm Maintenance: How the ‘Science of Monetary Policy’ tries to deal with the inflation of 2021-2023. Institute for New Economic Thinking Working Paper Series, 2023. http://dx.doi.org/10.36687/inetwp214.

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The macroeconomic models used by major institutions including the Federal Reserve and the International Monetary Fund (IMF) failed to predict the inflation surge during 2021-2023. The output gap, the unemployment gap, the New Keynesian Phillips curve and inflation expectations did not give timely and relevant signals. The re-emergence of inflation thus threw the ‘science of monetary policy’ off the rails. Faced with the choice between changing their paradigm and proving that there is no need to do so, the ‘scientists of monetary policy’ got busy on the proof. As a result, a number of ad-hoc ep
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Copes, D. L. Effects of leader topping and branch pruning on efficiency of Douglas-fir cone harvesting with a tree shaker. U.S. Department of Agriculture, Forest Service, Pacific Northwest Forest and Range Experiment Station, 1985. http://dx.doi.org/10.2737/pnw-rn-431.

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