Relevant bibliographies by topics / Algorithmic support

Contents

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

Academic literature on the topic 'Algorithmic support'

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

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Journal articles on the topic "Algorithmic support"

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Wolper, Pierre. "Where is the algorithmic support?" ACM Computing Surveys 28, no. 4es (1996): 58. http://dx.doi.org/10.1145/242224.242298.

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Pogorelov, V. A., and S. V. Sokolov. "Algorithmic support for integrated navigation systems." Journal of Computer and Systems Sciences International 47, no. 2 (2008): 308–20. http://dx.doi.org/10.1134/s1064230708020172.

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Ernsting, Steffen, and Herbert Kuchen. "Data Parallel Algorithmic Skeletons with Accelerator Support." International Journal of Parallel Programming 45, no. 2 (2016): 283–99. http://dx.doi.org/10.1007/s10766-016-0416-7.

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Dmitrieva, Olga, and Olga Polovinka. "Algorithmic support for parallel association rule search methods." Scientific papers of Donetsk National Technical University”. Series: “Computer engineering and automation 1, no. 31 (2018): 62–69. http://dx.doi.org/10.31474/2075-4272-2018-1-31-62-69.

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Rizvanov, D. A., and E. S. Chernyshev. "Information and Algorithmic Support of Production Capacity Planning." Intellekt. Sist. Proizv. 18, no. 4 (2020): 117. http://dx.doi.org/10.22213/2410-9304-2020-4-117-125.

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В настоящей статье рассматриваются вопросы применения интеллектуальных технологий для решения задачи планирования производственных мощностей при создании/модернизации производства. В силу того что расчет количества необходимого технологического оборудования ведется классическим способом – на основе станкоемкости на максимальную известную годовую программу, в которой различные простои предусмотрены на основе нормативов, задача эффективного планирования производственных мощностей остается актуальной. Расчет необходимого количества технологического оборудования предлагается проводить с помощью си
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Якимук, Алексей, Aleksey Yakimuk, Антон Конев, Anton Konev, Юрий Терещенко, and Yuriy Tereschenko. "ALGORITHMIC SUPPORT OF SYSTEM FOR WHISPERING SPEECH ANALYSIS." Bulletin of Bryansk state technical university 2018, no. 10 (2018): 62–71. http://dx.doi.org/10.30987/article_5bf3cb52dd99b5.52729401.

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Глебова, Е. А., and А. Г. Пимонов. "SOFTWARE AND ALGORITHMIC SUPPORT FOR MISSING DATA IMPUTATION." СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ, no. 2(88) (June 5, 2022): 52–55. http://dx.doi.org/10.36622/vstu.2022.88.2.010.

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В статье представлено разработанное программное обеспечение импутирования пропущенных данных. В составе ядра созданной информационной системы реализованы различные алгоритмы и методы восстановления пропущенных наблюдений. The article presents the developed software for imputation of missing data. As part of the core of the created information system, various algorithms and methods of missing observations recovery are implemented, the most promising of which is the evolutionary, which allows the complex use of neural network technology and a genetic algorithm.
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Tverskoy, Yu S., I. A. Kolesov, A. V. Golubev, I. K. Muravyov, and J. A. Gaidina. "Information and algorithmic support of streamlined control systems." Vestnik IGEU, no. 3 (June 30, 2022): 45–56. http://dx.doi.org/10.17588/2072-2672.2022.3.045-056.

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Modern production machinery is equipped with multifunctional automated process control systems (APCS) based on software and hardware complexes (SHC) of a network hierarchical structure. The experience of designing and operating multifunctional process control systems proves that the efficiency of the systems being developed significantly depends on the array of problems at different stages of the technology design and system modernization. It is to be developed, both at the fundamental level of local automatic control systems and at a higher level of hierarchical system structure. At the same
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Kniga, E. V., A. V. Gurjanov, A. V. Shukalov, and I. O. Zharinov. "Algorithmic support for graphic images rotation in avionics." Journal of Physics: Conference Series 1015 (May 2018): 032155. http://dx.doi.org/10.1088/1742-6596/1015/3/032155.

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Almagro, Ronald E., Loyd C. Flores, and Mary Rose V. Amora. "Perceived Algorithmic Autonomy-Support and Computer Attitude on Learning Management Systems in Higher Education Institutions in Davao Region." International Journal of Research and Innovation in Social Science VII, no. XII (2024): 738–57. http://dx.doi.org/10.47772/ijriss.2023.7012057.

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This quantitative research study adopts a non-experimental, descriptive, and correlational design to investigate the influences of perceived algorithmic autonomy-support and computer attitude on Learning Management Systems (LMS) among higher education institutions. The study involves a 100 sample of participants from diverse educational settings, employing adapted questionnaires and statistical measures such as mean, Pearson correlation coefficient (Pearson r), standard deviation, and regression analysis. The research reveals positive perceptions of algorithmic autonomy-support and computer at
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Dissertations / Theses on the topic "Algorithmic support"

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Schleiermacher, Chris. "Algorithmic support for PCR and genome wide repeat analysis." [S.l.] : [s.n.], 2001. http://deposit.ddb.de/cgi-bin/dokserv?idn=963799495.

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Alexandre, Fernando Jorge Marques. "Multi-GPU support on the marrow algorithmic skeleton framework." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/10746.

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Dissertação para obtenção do Grau de Mestre em Engenharia Informática<br>With the proliferation of general purpose GPUs, workload parallelization and datatransfer optimization became an increasing concern. The natural evolution from using a single GPU, is multiplying the amount of available processors, presenting new challenges, as tuning the workload decompositions and load balancing, when dealing with heterogeneous systems. Higher-level programming is a very important asset in a multi-GPU environment, due to the complexity inherent to the currently used GPGPU APIs (OpenCL and CUDA), becaus
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Caimi, Gabrio Curzio. "Algorithmic decision support for train scheduling in a large and highly utilised railway network." Aachen Shaker, 2009. http://d-nb.info/998740608/04.

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Wang, Kaibo. "Algorithmic and Software System Support to Accelerate Data Processing in CPU-GPU Hybrid Computing Environments." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1447685368.

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Hück, Alexander [Verfasser], Christian [Akademischer Betreuer] Bischof, and Martin [Akademischer Betreuer] Bücker. "Compiler Support for Operator Overloading and Algorithmic Differentiation in C++ / Alexander Hück ; Christian Bischof, Martin Bücker." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2020. http://d-nb.info/1211726037/34.

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Caimi, Gabrio C. [Verfasser]. "Algorithmic decision support for train scheduling in a large and highly utilised railway network / Gabrio C Caimi." Aachen : Shaker, 2009. http://d-nb.info/1161301887/34.

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Меняйлов, Д. А., Наталія Анатоліївна Федотова, Наталия Анатольевна Федотова та ін. "Розроблення алгоритмічного та програмного забезпечення для економетричного моделювання монотонних процесів та прогнозування результатів". Thesis, Сумський державний університет, 2017. http://essuir.sumdu.edu.ua/handle/123456789/64957.

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Мета роботи – автоматизація процесу аналізу та прогнозування статистичних даних довільним користувачем. Об’єктом дослідження є процес розроблення всіх можливих конфігурацій при використанні статистичних даних певного економічного процесу для забезпечення ефективного отримання якісної оцінки на виході із системи. Предметом дослідження є модель процесу розроблення всіх можливих конфігурацій даних, що задаються.
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Filippoupolitis, Avgoustinos. "Emergency Simulation and Decision Support Algorithms." Thesis, Imperial College London, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.523743.

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Wen, Tong 1970. "Support Vector Machine algorithms : analysis and applications." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/8404.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2002.<br>Includes bibliographical references (p. 89-97).<br>Support Vector Machines (SVMs) have attracted recent attention as a learning technique to attack classification problems. The goal of my thesis work is to improve computational algorithms as well as the mathematical understanding of SVMs, so that they can be easily applied to real problems. SVMs solve classification problems by learning from training examples. From the geometry, it is easy to formulate the finding of SVM classifiers as a linearly constrained
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Wang, Wenjuan. "Optimization algorithms for SVM classification : Applications to geometrical chromosome analysis." Thesis, Toulouse 3, 2016. http://www.theses.fr/2016TOU30111/document.

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Le génome est très organisé au sein du noyau cellulaire. Cette organisation et plus spécifiquement la localisation et la dynamique des gènes et chromosomes contribuent à l'expression génétique et la différenciation des cellules que ce soit dans le cas de pathologies ou non. L'exploration de cette organisation pourrait dans le futur aider à diagnostiquer et identifier de nouvelles cibles thérapeutiques. La conformation des chromosomes peut être analysée grâce au marquage ADN sur plusieurs sites et aux mesures de distances entre ces différents marquages fluorescents. Dans ce contexte, l'organisa
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Books on the topic "Algorithmic support"

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Collins, R. Douglas. Algorithmic selection and interpretation of diagnostic tests. Williams & Wilkins, 1998.

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Doellgast, Virginia, Shruti Appalla, Dina Ginzburg, Jeonghun Kim, and Wen Li Thian. Global case studies of social dialogue on AI and algorithmic management. ILO, 2025. https://doi.org/10.54394/voqe4924.

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Employers are adopting and refining artificial intelligence (AI) and algorithm-based tools in the workplace, with wide-ranging implications for work and employment. This working paper examines case studies of social dialogue on AI at national, regional, sectoral, company, and workplace levels in Europe, North America, Asia, South America and the Caribbean, and Africa. Findings are organized around three distinct ‘action fields’ in which worker representatives have sought to influence strategies and outcomes associated with the growing use of AI and algorithms in the workplace. These include th
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Munerman, Viktor, Vadim Borisov, and Aleksandra Kononova. Mass data processing. Algebraic models and methods. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1906037.

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The monograph is devoted to mathematical and algorithmic support of mass data processing based on algebraic models. One of the most common classes of mass processing is considered - processing of highly active structured data. The construction of algebraic models of data and calculations and methods of proving their correspondence are analyzed. Three algebraic systems are studied, which can be used both as data models and as models of calculations. The algebraic and axiomatic methods of proving the correspondence of these models are investigated. A proof of their correspondence is given: homom
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Boyle, Brandon H. Support vector machines: Data analysis, machine learning, and applications. Nova Science Publishers, 2011.

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Diamadopoulos. Lane support algorithms for autonomous vehicle navigation. UMIST, 1996.

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Schmidt, Günter. CAM: Algorithmen und Decision Support für die Fertigungssteuerung. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-46668-7.

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AMS-IMS-SIAM Joint Summer Research Conference in the Mathematical Sciences on Graphs and Algorithms (1987 University of Colorado). Graphs and algorithms: Proceedings of the AMS-IMS-SIAM joint summer research conference held June 28-July 4, 1987 with support from the National Science Foundation. Edited by Richter R. Bruce, American Mathematical Society, Institute of Mathematical Statistics, and Society for Industrial and Applied Mathematics. American Mathematical Society, 1989.

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Szapiro, Tomasz, and Janusz Kacprzyk, eds. Collective Decisions: Theory, Algorithms And Decision Support Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84997-9.

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Stoean, Catalin, and Ruxandra Stoean. Support Vector Machines and Evolutionary Algorithms for Classification. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06941-8.

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Ertekin, Şeyda. Algorithms for efficient learning systems: Online and active learning approaches. VDM Verlag Dr. Müller, 2009.

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Book chapters on the topic "Algorithmic support"

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Gebotys, Catherine H., and Mohamed I. Elmasry. "Support for Algorithmic Constructs." In The Kluwer International Series in Engineering and Computer Science. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-4018-2_8.

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Bartsch, Katharina. "Demonstration of algorithmic support structures." In Digitalization of design for support structures in laser powder bed fusion of metals. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-22956-5_8.

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Zhang, Lei, Fengchun Tian, and David Zhang. "Discriminative Support Vector Machine-Based Odor Classification." In Electronic Nose: Algorithmic Challenges. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2167-2_6.

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Kroon, Leo, and Dennis Huisman. "Algorithmic Support for Railway Disruption Management." In Transitions Towards Sustainable Mobility. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21192-8_11.

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Auzel, Alexandre, and Vorapong Suppakitpaisarn. "Bridging Algorithmic Foundations with Information Security and Privacy: Set-k-Multicover Problem and Homomorphic Secret Sharing." In Algorithmic Foundations for Social Advancement. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-0668-9_15.

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Abstract We explore the connections between two fields of study—the algorithmic foundations and the domains of information security and privacy. The principles of algorithmic foundations are instrumental in enhancing the efficiency of cryptographic systems. This is particularly relevant for post-quantum cryptography systems like isogeny-based cryptography, which benefit from efficient implementations. Conversely, methods from information privacy can be applied to ensure the trustability of several combinatorial algorithms, including linear integer programming and triangle counting. In this cha
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Manna, Zohar, Nikolaj S. Bjørner, Anca Browne, et al. "An Update on STeP: Deductive-Algorithmic Verification of Reactive Systems." In Tool Support for System Specification, Development and Verification. Springer Vienna, 1999. http://dx.doi.org/10.1007/978-3-7091-6355-9_13.

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Zhong, Wei, and Jieyue He. "Protein-Related Drug Activity Comparison Using Support Vector Machines." In Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118567869.ch23.

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Zinn, Claus. "Algorithmic Debugging to Support Cognitive Diagnosis in Tutoring Systems." In KI 2011: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24455-1_35.

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Abo-Khamis, Mahmoud, Sungjin Im, Benjamin Moseley, Kirk Pruhs, and Alireza Samadian. "A Relational Gradient Descent Algorithm For Support Vector Machine Training." In Symposium on Algorithmic Principles of Computer Systems (APOCS). Society for Industrial and Applied Mathematics, 2021. http://dx.doi.org/10.1137/1.9781611976489.8.

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Thomas, Jakita O. "Designing Learning Environments That Support Developing Computational Algorithmic Thinking Capabilities." In Fostering Computational Thinking among Underrepresented Students in STEM. Routledge, 2021. http://dx.doi.org/10.4324/9781003024552-2.

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Conference papers on the topic "Algorithmic support"

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Liandres, V. Z., and V. M. Maistrenko. "Algorithmic Support and Software of Large Dimension Frequency Planning Tasks." In EMC_1990_Wroclaw. IEEE, 1990. https://doi.org/10.23919/emc.1990.10833101.

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O’Connor, Michael. "Building an Ethics Assurance Case for an Algorithmic Deprescribing Decision Support System." In 2025 IEEE 13th International Conference on Healthcare Informatics (ICHI). IEEE, 2025. https://doi.org/10.1109/ichi64645.2025.00096.

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John, V. Y., Arvind Kumar Pandey, and Harshita Kaushik. "Accurately Allocating Resources to Support Strategic Decision Making in MNCs Using Algorithmic Solutions." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724962.

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Zhang, Tongze, Tammy Chung, Anind Dey, and Sang Won Bae. "Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults." In 2024 International Conference on Activity and Behavior Computing (ABC). IEEE, 2024. http://dx.doi.org/10.1109/abc61795.2024.10652070.

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Dhivani Gusmi, Adibah, and Achmad Nurmandi. "Algorithmic Government Framework to Support Government Data Disclosure." In 8th International Conference on Human Interaction and Emerging Technologies. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002779.

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This study aims to analyze the working concept of government algorithms in supporting government data openness. The focus of this research was on the United States, United Kingdom, the Netherlands, and Spain. In the digital era, the government is guided to be active in providing information to the public. This study focuses on implementing data disclosure in the United States, England, the Netherlands, and Spain. This study uses qualitative methods, and the tools used for statistical and bibliometric analysis are VOSviewer and NVivo Plus 12. The data sources for this research are 363 articles
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Morrow, Tyler, Sahra Sedigh Sarvestani, and Ali R. Hurson. "Algorithmic Decision Support for Personalized Education (Invited Paper)." In 2016 IEEE 17th International Conference on Information Reuse and Integration (IRI). IEEE, 2016. http://dx.doi.org/10.1109/iri.2016.32.

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Morrow, Tyler, Ali R. Hurson, and Sahra Sedigh Sarvestani. "Algorithmic Support for Personalized Course Selection and Scheduling." In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2020. http://dx.doi.org/10.1109/compsac48688.2020.00027.

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Kayama, Mizue, Makoto Satoh, Hisayoshi Kunimune, Masaaki Niimura, Hasami Hashimoto, and Makoto Otani. "Algorithmic Thinking Learning Support System with eAssessment Function." In 2014 IEEE 14th International Conference on Advanced Learning Technologies (ICALT). IEEE, 2014. http://dx.doi.org/10.1109/icalt.2014.96.

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Antonyuk, Evgeniy M., Ilyas E. Varshavskiy, Natalya V. Orlova, and Petr E. Antonyuk. "Algorithmic Support for an Adaptive Automatic Monitoring System." In 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). IEEE, 2020. http://dx.doi.org/10.1109/eiconrus49466.2020.9039192.

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Todosijevic, Milos, Radmilo Todosijevic, and Snezana Todosijevic Lazovic. "Development of Capacity Through Digital Transformation." In 27th International Scientific Conference Strategic Management and Decision Support Systems in Strategic Management. University of Novi Sad, Faculty of Economics in Subotica, 2022. http://dx.doi.org/10.46541/978-86-7233-406-7_178.

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Projected or installed capital serves as a foundation for defining business process' Managing process develop per set laws, where single and total process' of the system have their own algorithms. Management as a generic sum of knowledge is an algorithmic process that ends with a solution - command. Through output, enterprise adapts to its changing environment in which it exists. Mutual connection of process' and actions makes composition in cybernetic array. Algorithm theory has occurred before our findings of cybernetics and it is an introduction in development of digitalization and IT. Digi
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Reports on the topic "Algorithmic support"

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Leung, Vitus Joseph, Michael A. Bender, David P. Bunde, and Cynthia Ann Phillips. Algorithmic support for commodity-based parallel computing systems. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/918344.

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Neuts, Marcel F. Request for Equipment in Support of Research on Algorithmic Probability. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada222125.

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McKinley, Catherine, Prem Sylvester, Benjamin Faveri, et al. Recommendations for a Global AI Auditing Framework: Summary of Standards and Features. Edited by Saiph Savage, Mona Sloam, Luis Adrián Castro-Quiroa, et al. International Panel on the Information Environment (IPIE), 2024. https://doi.org/10.61452/guyx7442.

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This Summary for Policymakers provides a high-level précis of the Synthesis Report Towards A Global AI Auditing Framework: Assessment and Recommendations. The growing integration of artificial intelligence (AI) into critical sectors of society, from healthcare to education, has the potential to support widespread social transformation and progress. However, AI systems also have the power to perpetuate biases, deepen inequalities, and cause environmental harm. Accurately evaluating the risks and benefits of an AI system requires a careful audit. Current approaches to auditing, however, rarely i
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Faveri, Benjamin, Maureen Johnson-León, Prem Sylvester, et al. Towards A Global AI Auditing Framework: Assessment and Recommendations. Edited by Luis Adrián Castro-Quiroa, Eloísa Gacía-Canseco, Joan Hassan, et al. International Panel on the Information Environment (IPIE), 2025. https://doi.org/10.61452/zwed1485.

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A high-level précis of the Synthesis Report can be found in the Summary for Policymakers Recommendations for a Global AI Auditing Framework: Summary of Standards and Features. The growing integration of artificial intelligence (AI) into critical sectors of society, from healthcare to education, has the potential to support widespread social transformation and progress. However, AI systems also have the power to perpetuate biases, deepen inequalities, and cause environmental harm. Accurately evaluating the risks and benefits of an AI system requires a careful audit. Current approaches to auditi
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Tran, Martin, Samuel Kreinberg, Eric Specking, et al. Smart installation weather warning decision support. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49734.

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Army installation commanders need timely weather information to make installation closure decisions before or during adverse weather events (e.g., hail, thunderstorms, snow, and floods). We worked with the military installation in Fort Carson, CO, and used their Weather Warning, Watch, and Advisory (WWA) criteria list to establish the foundation for our algorithm. We divided the Colorado Springs area into 2300 grids (2.5 square kilometers areas) and grouped the grids into ten microclimates, geographically and meteorologically unique regions, per pre-defined microclimate regions provided by the
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Lewis, Dustin, ed. A Compilation of Materials Apparently Reflective of States’ Views on International Legal Issues pertaining to the Use of Algorithmic and Data-reliant Socio-technical Systems in Armed Conflict. Harvard Law School Program on International Law and Armed Conflict, 2020. http://dx.doi.org/10.54813/cawz3627.

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This document is a compilation of materials that at least appear to be reflective of one or more states’ views on international legal issues pertaining to the actual or possible use of algorithmic and data-reliant socio-technical systems in armed conflict. In September of 2018, the Harvard Law School Program on International Law and Armed Conflict (HLS PILAC) commenced a project titled “International Legal and Policy Dimensions of War Algorithms: Enduring and Emerging Concerns.”[1] The project builds on the program’s earlier research and policy initiative on war-algorithm accountability. A goa
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Striuk, Andrii, Olena Rybalchenko, and Svitlana Bilashenko. Development and Using of a Virtual Laboratory to Study the Graph Algorithms for Bachelors of Software Engineering. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4462.

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The paper presents an analysis of the importance of studying graph algorithms, the reasons for the need to implement this project and its subsequent use. The existing analogues analysis is carried out, due to which a list of advantages and disadvantages is formed and taken into account in developing the virtual laboratory. A web application is created that clearly illustrates the work of graph algorithms, such as Depth-First Search, Dijkstra’s Shortest Path, Floyd- Warshall, Kruskal Minimum Cost Spanning Tree Algorithm. A simple and user- friendly interface is developed and it is supported by
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Bagnulo, M., and J. Arkko. Support for Multiple Hash Algorithms in Cryptographically Generated Addresses (CGAs). RFC Editor, 2007. http://dx.doi.org/10.17487/rfc4982.

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Iyer, Ananth V., Samuel Labi, Steven R. Dunlop, et al. Heavy Fleet and Facilities Optimization. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317365.

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The Indiana Department of Transportation (INDOT) is responsible for timely clearance of snow on state-maintained highways in Indiana as part of its wintertime operations. For this and other maintenance purposes, the state’s subdistricts maintain 101 administrative units spread throughout the state. These units are staffed by personnel, including snow truck drivers and house snow removal trucks and other equipment. INDOT indicated a need to carry out value engineering analysis of the replacement timing of the truck fleet. To address these questions, this study carried out analysis to ascertain
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Guy, Hannah V., and Ozge Ozduzen. Mainstreaming, Gender and Communication in the UK. Glasgow Caledonian University, 2025. https://doi.org/10.59019/b47sx620.

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The DRad 5.2 UK country report studies the online agents of far-right extremism and the ways in which citizens and members of civil society attempt to tackle social and political problems related to radicalisation in the UK. By looking at the patterns of visual political communication on social media platforms, the report showcases everyday expressions of sexism, misogyny, transphobia, and racialisation in the UK. In doing so, it aims to provide a scholarly discussion on the textual and visual affordances pertinent to social media platforms that help reproduce existing power structures and soc
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