Relevant bibliographies by topics / Embedded computing

Contents

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

Academic literature on the topic 'Embedded computing'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Embedded computing"

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Sadiku, Matthew N. O., Yonghui Wang, Suxia Cui, and Sarhan M. Musa. "Embedded Computing Systems." International Journal of Scientific Engineering and Technology 6, no. 12 (2017): 361. http://dx.doi.org/10.5958/2277-1581.2017.00059.6.

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Teodorovici, Vasile G. "Modern embedded computing." ACM SIGSOFT Software Engineering Notes 38, no. 1 (2013): 59–60. http://dx.doi.org/10.1145/2413038.2413059.

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Dally, William J., James Balfour, David Black-Shaffer, et al. "Efficient Embedded Computing." Computer 41, no. 7 (2008): 27–32. http://dx.doi.org/10.1109/mc.2008.224.

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Johnson, S. D. "Embedded computing - Formal methods in embedded design." Computer 36, no. 11 (2003): 104–6. http://dx.doi.org/10.1109/mc.2003.1244539.

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Wolf, W. "What is embedded computing?" Computer 35, no. 1 (2002): 136–37. http://dx.doi.org/10.1109/2.976929.

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Li, Keqiu. "Advanced Topics on Embedded Computing." Journal of Embedded Computing 4, no. 1 (2011): 1–2. https://doi.org/10.3233/jec-2009-0101.

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Jensen, David, and Arun Rodrigues. "Embedded Systems and Exascale Computing." Computing in Science & Engineering 12, no. 6 (2010): 20–29. http://dx.doi.org/10.1109/mcse.2010.95.

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Yu, Huiqun, and Yongqiang Sun. "Hybridity in embedded computing systems." Journal of Computer Science and Technology 11, no. 1 (1996): 90–96. http://dx.doi.org/10.1007/bf02943525.

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Wolf, W. "Whither Warhol's law? [embedded computing]." Computer 35, no. 9 (2002): 96–97. http://dx.doi.org/10.1109/mc.2002.1033036.

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Dutt, N., and Kiyoung Choi. "Configurable processors for embedded computing." Computer 36, no. 1 (2003): 120–23. http://dx.doi.org/10.1109/mc.2003.1160063.

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Dissertations / Theses on the topic "Embedded computing"

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Yang, Xuecan. "Approximate computing for embedded machine learning." Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAT005.

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Les réseaux de neurones convolutifs (CNN) ont été largement utilisés dans de nombreux domaines tels que la reconnaissance d’image, le traitement vidéo et le traitement du langage naturel. Cependant, les CNN sont toujours gourmands en calculs et en ressources. Ils sont souvent limités par les performances et la mémoire limitées lorsqu’ils sont déployés sur des systèmes embarqués. Ce projet de recherche doctorale vise à proposer des CNNs à faibles besoins en ressources informatiques et en mémoire, qui sont plus adaptés aux systèmes embarqués. En plus de la revue de la littérature, trois méthodes
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Legband, Neil (Neil Robert). "Domestically dextrous : embedded computing for senior housing." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/79178.

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Thesis (M. Arch.)--Massachusetts Institute of Technology, Dept. of Architecture, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 122-123).<br>This thesis proposes a new home for the aging baby boomers. The US is about to see a massive influx in the elderly population, and the current model of housing the elderly is woefully unprepared. The boomer generation has lived in single family homes for decades, and will want to continue living in one. Current strategies for retrofitting homes for seniors, things like wheelchair ramps, stair lifts, grab bars, ar
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Lerner, Lee Wilmoth. "Trustworthy Embedded Computing for Cyber-Physical Control." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/51545.

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A cyber-physical controller (CPC) uses computing to control a physical process. Example CPCs can be found in self-driving automobiles, unmanned aerial vehicles, and other autonomous systems. They are also used in large-scale industrial control systems (ICSs) manufacturing and utility infrastructure. CPC operations rely on embedded systems having real-time, high-assurance interactions with physical processes. However, recent attacks like Stuxnet have demonstrated that CPC malware is not restricted to networks and general-purpose computers, rather embedded components are targeted as well. G
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Alessi, Marco. "Spatial computing per dispositivi mobile ed embedded." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8618/.

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Questa tesi si focalizza sulle possibili tecnologie per realizzare comunicazioni opportunistiche fra dispositivi mobile ed embedded, con l'obiettivo di integrarle nel contesto di sistemi a larga scala situati, e con particolare riferimento al prototipo denominato "Magic Carpet". Vengono considerate in particolare le tecnologie WiFi ad-hoc e Bluetooth Low Energy su Android e Raspberry Pi.
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Colin, Alexei. "System Support for Intermittent Computing." Research Showcase @ CMU, 2018. http://repository.cmu.edu/dissertations/1156.

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Smart things, spaces, and structures are created by embedding computation into them. Embedded computers sense, compute, and communicate at the edge, closer to the physical rather than the cyber world. Not any computer can be embedded, because many deployment settings demand small size, long lifetime, and robustness to a harsh environment. .
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Lee, Dongwon. "High-performance computer system architectures for embedded computing." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42766.

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The main objective of this thesis is to propose new methods for designing high-performance embedded computer system architectures. To achieve the goal, three major components - multi-core processing elements (PEs), DRAM main memory systems, and on/off-chip interconnection networks - in multi-processor embedded systems are examined in each section respectively. The first section of this thesis presents architectural enhancements to graphics processing units (GPUs), one of the multi- or many-core PEs, for improving performance of embedded applications. An embedded application is first mapped ont
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Suslowicz, Charles Eugene. "Secure Intermittent Computing: Precomputation and Implementation." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83376.

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This thesis explores the security of intermittent devices, embedded systems designed to retain their state across periods of power loss, for cases both when the device has an excess of available energy and when power loss is unavoidable. Existing work with intermittent systems has focused on the problems inherent to the intermittent paradigm and ignored the security implications of persistent state across periods of power loss. The security of these devices is closely linked to their unique operational characteristics and are addressed here in two studies. First, the presence of an energy harv
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Say, Fatih. "A Reconfigurable Computing Platform For Real Time Embedded Applications." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613628/index.pdf.

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Today&rsquo<br>s reconfigurable devices successfully combine &lsquo<br>reconfigurable computing machine&rsquo<br>paradigm and &lsquo<br>high degree of parallelism&rsquo<br>and hence reconfigurable computing emerged as a promising alternative for computing-intensive applications. Despite its superior performance and lower power consumption compared to general purpose computing using microprocessors, reconfigurable computing comes with a cost of design complexity. This thesis aims to reduce this complexity by providing a flexible and user friendly development environment to application programme
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Sun, Eugene Yu-Ting. "A many-core software framework for embedded space computing." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/85507.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 66-67).<br>Space computing has long called for powerful yet power-efficient hardware for on-board computation. The emergence of many-core CPUs on a single die provides one potential solution. The development of processors like Maestro strives for the balance between computational power and energy efficiency. However, development in software has not kept up. Not a single dominant programmin
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Ghosh, Anandaroop. "Energy Efficient Computing in FPGA Through Embedded RAM Blocks." Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1365198486.

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Books on the topic "Embedded computing"

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Sha, Edwin, Sung-Kook Han, Cheng-Zhong Xu, Moon-Hae Kim, Laurence T. Yang, and Bin Xiao, eds. Embedded and Ubiquitous Computing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11802167.

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Yang, Laurence T., Minyi Guo, Guang R. Gao, and Niraj K. Jha, eds. Embedded and Ubiquitous Computing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b100039.

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Kuo, Tei-Wei, Edwin Sha, Minyi Guo, Laurence T. Yang, and Zili Shao, eds. Embedded and Ubiquitous Computing. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-77092-3.

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Pinho, Luis Miguel, Marko Bertogna, and Eduardo Quinones. High Performance Embedded Computing. River Publishers, 2022. http://dx.doi.org/10.1201/9781003338413.

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Candaele, Bernard, Dimitrios Soudris, and Iraklis Anagnostopoulos, eds. Trusted Computing for Embedded Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09420-5.

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Yang, Laurence T., Makoto Amamiya, Zhen Liu, Minyi Guo, and Franz J. Rammig, eds. Embedded and Ubiquitous Computing – EUC 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11596356.

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Park, James J., Young-Sik Jeong, Sang Oh Park, and Hsing-Chung Chen, eds. Embedded and Multimedia Computing Technology and Service. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5076-0.

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Zhou, Xiaobo, Oleg Sokolsky, Lu Yan, et al., eds. Emerging Directions in Embedded and Ubiquitous Computing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11807964.

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Denko, Mieso K., Chi-sheng Shih, Kuan-Ching Li, et al., eds. Emerging Directions in Embedded and Ubiquitous Computing. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-77090-9.

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Enokido, Tomoya, Lu Yan, Bin Xiao, Daeyoung Kim, Yuanshun Dai, and Laurence T. Yang, eds. Embedded and Ubiquitous Computing – EUC 2005 Workshops. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11596042.

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Book chapters on the topic "Embedded computing"

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N. Makarov, Sergey, Reinhold Ludwig, and Stephen J. Bitar. "Embedded Computing." In Practical Electrical Engineering. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21173-2_15.

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Bouyssounouse, Bruno, and Joseph Sifakis. "Computing Platforms." In Embedded Systems Design. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31973-3_29.

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Broenink, Jan F. "Embedded Robotic Computing." In Encyclopedia of Robotics. Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-642-41610-1_7-1.

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Hansmann, Uwe, Lothar Merk, Martin S. Nicklous, and Thomas Stober. "Embedded Controls." In Pervasive Computing Handbook. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04318-9_4.

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Shannon, Lesley. "Embedded Computing Systems on FPGAs." In Embedded Systems. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118468654.ch5.

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Hartenstein, Reiner, and Tu Kaiserslautern. "Basics of Reconfigurable Computing." In Designing Embedded Processors. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5869-1_20.

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Davis, Al. "Correct Embedded Computing Futures." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30142-4_6.

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Moons, Bert, Daniel Bankman, and Marian Verhelst. "Circuit Techniques for Approximate Computing." In Embedded Deep Learning. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99223-5_4.

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Wong, Stephan, Luigi Carro, Mateus Rutzig, et al. "ERA – Embedded Reconfigurable Architectures." In Reconfigurable Computing. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0061-5_10.

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Yamakami, Toshihiko. "Ubiquitous Computing Literacy: A New Challenge for Social Computing." In Embedded and Ubiquitous Computing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30121-9_68.

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Conference papers on the topic "Embedded computing"

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Fisher, Joseph A. "Moving from embedded systems to embedded computing." In the international conference. ACM Press, 2003. http://dx.doi.org/10.1145/951710.951711.

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Lachney, Michael, Aman Yadav, Matt Drazin, and Briana Green. "Community Embedded Computing Education." In SIGCSE 2023: The 54th ACM Technical Symposium on Computer Science Education. ACM, 2023. http://dx.doi.org/10.1145/3545945.3569780.

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Rau, B. Ramakrishna. "The era of embedded computing." In the international conference. ACM Press, 2000. http://dx.doi.org/10.1145/354880.354897.

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Rellermeyer, Jan S., Seong-Won Lee, and Michael Kistler. "Cloud platforms and embedded computing." In the 50th Annual Design Automation Conference. ACM Press, 2013. http://dx.doi.org/10.1145/2463209.2488826.

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Ul-Abdin, Zain, and Bertil Svensson. "Towards teaching embedded parallel computing." In ISCA '15: The 42nd Annual International Symposium on Computer Architecture. ACM, 2015. http://dx.doi.org/10.1145/2795122.2795130.

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Metwaly, Aly, Jorge Peña Queralta, Victor Kathan Sarker, Tuan Nguyen Gia, Omar Nasir, and Tomi Westerlund. "Edge Computing with Embedded AI." In INTESA2019: INTelligent Embedded Systems Architectures and Applications Workshop 2019. ACM, 2019. http://dx.doi.org/10.1145/3372394.3372397.

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"Real time and embedded computing." In 2015 IEEE 13th International Conference on Industrial Informatics (INDIN). IEEE, 2015. http://dx.doi.org/10.1109/indin.2015.7281735.

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"Real-time and embedded computing." In 2016 IEEE 14th International Conference on Industrial Informatics (INDIN). IEEE, 2016. http://dx.doi.org/10.1109/indin.2016.7819139.

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Samie, Farzad, Lars Bauer, and Jörg Henkel. "IoT technologies for embedded computing." In ESWEEK'16: TWELFTH EMBEDDED SYSTEM WEEK. ACM, 2016. http://dx.doi.org/10.1145/2968456.2974004.

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Hoe, James. "Session details: Embedded multicore computing." In ESWeek '11: Seventh Embedded Systems Week. ACM, 2011. http://dx.doi.org/10.1145/3256244.

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Reports on the topic "Embedded computing"

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Donohoe, Gregory W. Magnetic Random Access Memory for Embedded Computing. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada474855.

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Games, Richard A., Arkady Kanevsky, Peter C. Krupp, and Leonard G. Monk. Real-Time Embedded High Performance Computing: Communications Scheduling. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada302888.

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Hendry, Gilbert, Eric Robinson, Vitaliy Gleyzer, et al. Circuit-Switched Memory Access in Photonic Interconnection Networks for High-Performance Embedded Computing. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada532933.

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Campbell, Daniel P. High Performance Embedded Computing Software Initiative (HPEC-SI) Program Facilitation of VSIPL++ Standardization. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada481005.

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Teng, Henry, and Khalid Mosalam. Long-Term Monitoring of Bridge Settlements using Vision-Based Embedded System. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2020. http://dx.doi.org/10.55461/apri8198.

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The State of California is highly seismic, capable of generating large-magnitude earthquakes that could cripple the infrastructure of several large cities. Yet the annual maintenance of the State’s bridges, such as highway overpasses, is not robust due to budget and staff constraints. Over 1000 bridges were not inspected according to the California Department of Transportation’s (Caltrans) 2015 Maintenance Plan. To help engineers monitor infrastructure conditions, presented within is a device recently developed that employs modern sensing, computing, and communication technologies to autonomou
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Taiber, Joachim. Unsettled Topics Concerning the Impact of Quantum Technologies on Automotive Cybersecurity. SAE International, 2020. http://dx.doi.org/10.4271/epr2020026.

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Quantum computing is considered the “next big thing” when it comes to solving computational problems impossible to tackle using conventional computers. However, a major concern is that quantum computers could be used to crack current cryptographic schemes designed to withstand traditional cyberattacks. This threat also impacts future automated vehicles as they become embedded in a vehicle-to-everything (V2X) ecosystem. In this scenario, encrypted data is transmitted between a complex network of cloud-based data servers, vehicle-based data servers, and vehicle sensors and controllers. While the
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Semerikov, Serhiy O., Illia O. Teplytskyi, Yuliia V. Yechkalo, and Arnold E. Kiv. Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2648.

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The article substantiates the necessity to develop training methods of computer simulation of neural networks in the spreadsheet environment. The systematic review of their application to simulating artificial neural networks is performed. The authors distinguish basic approaches to solving the problem of network computer simulation training in the spreadsheet environment, joint application of spreadsheets and tools of neural network simulation, application of third-party add-ins to spreadsheets, development of macros using the embedded languages of spreadsheets; use of standard spreadsheet ad
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