Relevant bibliographies by topics / Computer vision

Contents

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

Academic literature on the topic 'Computer vision'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Computer vision"

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Deshmukh, Omkar Madhukar. "Computer Vision." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 1237–39. http://dx.doi.org/10.22214/ijraset.2021.35926.

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Computer vision may be a field of computer science that trains computers to interpret and perceive the visual world. exploitation digital pictures from cameras and videos and deep learning models, machines will accurately determine and classify objects — and so react to what they "see.”. Computer vision is Associate in Nursing knowledge domain scientific field that deals with however computers will gain high-level understanding from digital pictures or videos. From the angle of engineering, it seeks to grasp and alter tasks that the human sensory system will do. Computer vision tasks embrace s
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Pandey, Mrs Arjoo. "Computer Vision." International Journal for Research in Applied Science and Engineering Technology 11, no. 7 (2023): 510–14. http://dx.doi.org/10.22214/ijraset.2023.54701.

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Abstract: Computer vision is a field of artificial intelligence that focuses on enabling computers to understand and interpret visual information from images or videos. It involves developing algorithms and techniques to extract meaningful insights, patterns, and knowledge from visual data, mimicking human visual perception capabilities. The abstract of computer vision encompasses a range of fundamental tasks and objectives, including: Image Classification: Classifying images into predefined categories or classes, such as distinguishing between different objects, animals, or scenes. Object Det
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Randolph, Susan A. "Computer Vision Syndrome." Workplace Health & Safety 65, no. 7 (2017): 328. http://dx.doi.org/10.1177/2165079917712727.

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With the increased use of electronic devices with visual displays, computer vision syndrome is becoming a major public health issue. Improving the visual status of workers using computers results in greater productivity in the workplace and improved visual comfort.
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S, Anusha, Nayana Shree A, Nithin R, Pavan Prabhu N, and Rahul D M. "Computer Vision Based Workout Application." International Journal of Research Publication and Reviews 4, no. 4 (2023): 4088–91. http://dx.doi.org/10.55248/gengpi.4.423.37565.

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Senarathne, Randitha, and Rusitha Thennakoon. "Fabric Inspection Using Computer Vision." International Journal of Media and Networks 3, no. 1 (2025): 01–07. https://doi.org/10.33140/ijmn.03.01.02.

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The textile industry is one of the basic parts of global manufacturing and is about to undergo a significant metamorphosis with the rise in technologies of artificial intelligence and computer vision. Traditionally, fabric inspection has been labor-intensive, requiring a lot of time and highly critical eyes for spotting defects, making it a process often blemished by human error. The advent of AI-enabled technology is allowing textile producers to implement automated inspection systems that enhance efficiency and raise quality benchmarks. This shift not only increases productivity but also gua
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Kaushik, C. S. S. Krishna, Prathit Panda, P. S. S. Asrith, M. Patrick Rozario, and Prof Ayain John. "Computer Vision Integrated Website." International Journal of Innovative Technology and Exploring Engineering 13, no. 2 (2024): 20–25. http://dx.doi.org/10.35940/ijitee.b9783.13020124.

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Computer vision is an integral part of artificial intelligence that empowers machines to perceive the world similar to human vision. Despite its extensive evolution, widespread awareness of its potential remains limited. The goal of the "Computer Vision Integrated Website" paper is to enhance awareness and exhibit the capabilities of computer vision. By creating an accessible platform featuring various computer vision models, authors aim to captivate audiences and drive growth in the field. The paper seeks to illustrate how computers interpret visual information by integrating user-friendly co
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Prof., Ayain John. "Computer Vision Integrated Website." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 13, no. 2 (2024): 20–25. https://doi.org/10.35940/ijitee.B9783.13020124.

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<strong>Abstract: </strong>Computer vision is an integral part of artificial intelligence that empowers machines to perceive the world similar to human vision. Despite its extensive evolution, widespread awareness of its potential remains limited. The goal of the "Computer Vision Integrated Website" paper is to enhance awareness and exhibit the capabilities of computer vision. By creating an accessible platform featuring various computer vision models, authors aim to captivate audiences and drive growth in the field. The paper seeks to illustrate how computers interpret visual information by i
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MATSUYAMA, TAKASHI. "Computer Vision." Journal of the Institute of Electrical Engineers of Japan 116, no. 5 (1996): 263–66. http://dx.doi.org/10.1541/ieejjournal.116.263.

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Aloimonos, Y., and A. Rosenfeld. "Computer vision." Science 253, no. 5025 (1991): 1249–54. http://dx.doi.org/10.1126/science.1891713.

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Marchant, J. A., and F. E. Sistler. "Computer vision." Computers and Electronics in Agriculture 9, no. 1 (1993): vii—viii. http://dx.doi.org/10.1016/0168-1699(93)90024-u.

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Dissertations / Theses on the topic "Computer vision"

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Revell, James Duncan. "Computer vision elastography." Thesis, University of Bristol, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.412361.

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Chiu, Kevin (Kevin Geeyoung). "Vision on tap : an online computer vision toolkit." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/67714.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2011.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student submitted PDF version of thesis.<br>Includes bibliographical references (p. 60-64).<br>In this thesis, we present an online toolkit, based on a combination of a Scratch-based programming environment and computer vision libraries, manifested as blocks within the environment, integrated with
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Rihan, Jonathan. "Computer vision based interfaces for computer games." Thesis, Oxford Brookes University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.579554.

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Interacting with a computer game using only a simple web camera has seen a great deal of success in the computer games industry, as demonstrated by the numerous computer vision based games available for the Sony PlayStation 2 and PlayStation 3 game consoles. Computational efficiency is important for these human computer inter- action applications, so for simple interactions a fast background subtraction approach is used that incorporates a new local descriptor which uses a novel temporal coding scheme that is much more robust to noise than the standard formulations. Results are presented that
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Klomark, Marcus. "Occupant Detection using Computer Vision." Thesis, Linköping University, Linköping University, Computer Vision, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54363.

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<p>The purpose of this master’s thesis was to study the possibility to use computer vision methods to detect and classify objects in the front passenger seat in a car. This work presents different approaches to solve this problem and evaluates the usefulness of each technique. The classification information should later be used to modulate the speed and the force of the airbag, to be able to provide each occupant with optimal protection and safety.</p><p>This work shows that computer vision has a great potential in order to provide data, which may be used to perform reliable occupant classific
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Purdy, Eric. "Grammatical methods in computer vision." Thesis, The University of Chicago, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3557428.

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<p> In computer vision, grammatical models are models that represent objects hierarchically as compositions of sub-objects. This allows us to specify rich object models in a standard Bayesian probabilistic framework. In this thesis, we formulate shape grammars, a probabilistic model of curve formation that allows for both continuous variation and structural variation. We derive an EM-based training algorithm for shape grammars. We demonstrate the effectiveness of shape grammars for modeling human silhouettes, and also demonstrate their effectiveness in classifying curves by shape. We also give
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Newman, Rhys A. "Automatic learning in computer vision." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390526.

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Crossley, Simon. "Robust temporal stereo computer vision." Thesis, University of Sheffield, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327614.

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Fletcher, Gordon James. "Geometrical problems in computer vision." Thesis, University of Liverpool, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337166.

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Mirmehdi, Majid. "Transputer configurations for computer vision." Thesis, City University London, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292339.

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Hovhannisyan, Vahan. "Multilevel optimisation for computer vision." Thesis, Imperial College London, 2017. http://hdl.handle.net/10044/1/55874.

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The recent spark in machine learning and computer vision methods requiring increasingly larger datasets has motivated the introduction of optimisation algorithms specifically tailored to solve very large problems within practical time constraints. This demand in algorithms challenges the practicability of state of the art methods requiring new approaches that can take advantage of not only the problem’s mathematical structure, but also its data structure. Fortunately, such structure is present in many computer vision applications, where the problems can be modelled with varying degrees of fide
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Books on the topic "Computer vision"

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Szeliski, Richard. Computer Vision. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-34372-9.

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Zha, Honbin, Xilin Chen, Liang Wang, and Qiguang Miao, eds. Computer Vision. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48558-3.

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Zha, Hongbin, Xilin Chen, Liang Wang, and Qiguang Miao, eds. Computer Vision. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48570-5.

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Cipolla, Roberto, Sebastiano Battiato, and Giovanni Maria Farinella, eds. Computer Vision. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12848-6.

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Yang, Jinfeng, Qinghua Hu, Ming-Ming Cheng, et al., eds. Computer Vision. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7299-4.

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Yang, Jinfeng, Qinghua Hu, Ming-Ming Cheng, et al., eds. Computer Vision. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7302-1.

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Yang, Jinfeng, Qinghua Hu, Ming-Ming Cheng, et al., eds. Computer Vision. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7305-2.

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Klette, Reinhard, Andreas Koschan, and Karsten Schlüns. Computer Vision. Vieweg+Teubner Verlag, 1996. http://dx.doi.org/10.1007/978-3-663-11999-9.

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Szeliski, Richard. Computer Vision. Springer London, 2011. http://dx.doi.org/10.1007/978-1-84882-935-0.

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Priese, Lutz. Computer Vision. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45129-8.

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Book chapters on the topic "Computer vision"

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Breiding, Paul, Kathlén Kohn, and Bernd Sturmfels. "Computer Vision." In Oberwolfach Seminars. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51462-3_13.

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AbstractThe field of computer vision studies how computers can gain understanding from images and videos, similar to human cognitive abilities. One of the classical challenges is to reconstruct a 3D object from images taken by several unknown cameras. While the resulting questions in multiview geometry [80] have a long history in computer vision, recent years have seen a confluence with ideas and algorithms from algebraic geometry.
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Huang, T. S. "Computer Vision." In Advances in Computer Graphics. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76286-4_4.

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Bhattacharjee, Joydeep. "Computer Vision." In Practical Machine Learning with Rust. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5121-8_6.

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Lee, Raymond S. T. "Computer Vision." In Artificial Intelligence in Daily Life. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7695-9_5.

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Nath, Vishnu, and Stephen E. Levinson. "Computer Vision." In Autonomous Robotics and Deep Learning. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05603-6_5.

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Nath, Vishnu, and Stephen E. Levinson. "Computer Vision." In SpringerBriefs in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05606-7_5.

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Du, Cheng-Jin, and Qiaofen Cheng. "Computer Vision." In Food Engineering Series. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0311-5_7.

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Poggio, Tomaso. "Computer Vision." In Biological and Artificial Intelligence Systems. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3117-6_21.

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Ng, Tian Seng. "Computer Vision." In Real Time Control Engineering. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1509-0_10.

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Škrlj, Blaž. "Computer Vision." In From Unimodal to Multimodal Machine Learning. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57016-2_5.

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Conference papers on the topic "Computer vision"

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Wang, Yuanbo, Osama Sakhi, Ala Eddine Ayadi, Matthew Hagen, and Estelle Afshar. "Computer Vision." In KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 2020. http://dx.doi.org/10.1145/3394486.3406710.

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Poggio, Tomaso. "Computer Vision." In OE LASE'87 and EO Imaging Symp (January 1987, Los Angeles), edited by Francis J. Corbett. SPIE, 1987. http://dx.doi.org/10.1117/12.940005.

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"Computer vision." In 2016 9th International Conference on Human System Interactions (HSI). IEEE, 2016. http://dx.doi.org/10.1109/hsi.2016.7529647.

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"Computer vision." In 2017 10th International Conference on Human System Interactions (HSI). IEEE, 2017. http://dx.doi.org/10.1109/hsi.2017.8005033.

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"Computer vision." In 2017 13th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP). IEEE, 2017. http://dx.doi.org/10.1109/iccp.2017.8117013.

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"Computer vision." In 2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP). IEEE, 2016. http://dx.doi.org/10.1109/iccp.2016.7737143.

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"Computer vision." In 2011 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP). IEEE, 2011. http://dx.doi.org/10.1109/iccp.2011.6047868.

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"Computer vision." In 2010 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP). IEEE, 2010. http://dx.doi.org/10.1109/iccp.2010.5606451.

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"Computer vision." In 2012 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP). IEEE, 2012. http://dx.doi.org/10.1109/iccp.2012.6356171.

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"Computer vision." In 2013 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP). IEEE, 2013. http://dx.doi.org/10.1109/iccp.2013.6646083.

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Reports on the topic "Computer vision"

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Michalski, R. S., A. Rosenfeld, Y. Aloimonos, Z. Duric, and M. Maloof. Computer Vision through Learning. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada341212.

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Jones, J. (Computer vision and robotics). Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/6860370.

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Poggio, Tomaso, and James Little. Parallel Algorithms for Computer Vision. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada203947.

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Rosenfeld, Azriel. Qualitative Methods in Computer Vision. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada264335.

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Waggett, Michael L. Night Vision Goggles Computer Based Training. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada398875.

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Fujiwara, Yoshimasa, Shree Nayer, and Katsushi Ikeuchi. Appearance Simulator for Computer Vision Research. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada240506.

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Shannahan, Logan, and Phillip Jannotti. Computer Vision Quantification of Complex Fracture. DEVCOM Army Research Laboratory, 2022. http://dx.doi.org/10.21236/ad1183623.

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Berry, Nina M., and Teresa H. Ko. On computer vision in wireless sensor networks. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/919195.

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Rodriguez, Simon, Autumn Toney, and Melissa Flagg. Patent Landscape for Computer Vision: United States and China. Center for Security and Emerging Technology, 2020. http://dx.doi.org/10.51593/20200054.

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China’s surge in artificial intelligence development has been fueled, in large part, by advances in computer vision, the AI subdomain that makes powerful facial recognition technologies possible. This data brief compares U.S. and Chinese computer vision patent data to illustrate the different approaches each country takes to AI development.
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Campbell, Nancy, Glenn Osga, David Kellmeyer, Daniel Lulue, and Earl Williams. A Human-Computer Interface Vision for Naval Transformation. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada427415.

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