Relevant bibliographies by topics / Black-box Systems

Contents

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

Academic literature on the topic 'Black-box Systems'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Black-box Systems"

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Dendy, J. E. "Black box multigrid for systems." Applied Mathematics and Computation 19, no. 1-4 (1986): 57–74. http://dx.doi.org/10.1016/0096-3003(86)90096-2.

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Iezzoni, Lisa I. "'Black Box' Medical Information Systems." JAMA 265, no. 22 (1991): 3006. http://dx.doi.org/10.1001/jama.1991.03460220094040.

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Petrick, Elizabeth R. "Building the Black Box: Cyberneticians and Complex Systems." Science, Technology, & Human Values 45, no. 4 (2019): 575–95. http://dx.doi.org/10.1177/0162243919881212.

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In the 1950s and 1960s, cyberneticians defined and utilized a concept previously described by electronic engineers: the black box. They were interested in how it might aid them, as both a metaphor and as a physical or mathematical model, in their analysis of complex human-machine systems. The black box evolved as they applied it in new ways, across a range of scientific fields, from an unnamed concept involving inputs and outputs, to digital representations of the human brain, to white boxes that might be used to replicate black boxes. The diversity of understandings of the black box reflected
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Kasianiuk, Krzysztof. "White box, black box and self-organization." Kybernetes 45, no. 1 (2016): 126–40. http://dx.doi.org/10.1108/k-02-2015-0057.

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Purpose – The purpose of this paper is to present two system identification models – “white box” and “black box” – as useful tools that help understand self-organization processes within and outside the organizations facilitated by leaders. Every leader is presented as a “systems designer” who plays a fundamental role in the process of self-organization, both within and outside the organization under study. Design/methodology/approach – First, “white box” and “black box” system identification models are presented as a basis for an integrated model of the “system” and its “environment.” Next, t
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Maio, Ronald F. "EMS systems: Opening the ‘Black Box’." Annals of Emergency Medicine 22, no. 4 (1993): 730–31. http://dx.doi.org/10.1016/s0196-0644(05)81858-x.

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Zagceta Álvarez, María Teresa, José de Jesús Medel Juárez, and Rosaura Palma Orozco. "Black box systems identification with estimation." Revista Facultad de Ingeniería Universidad de Antioquia, no. 72 (February 12, 2014): 35–46. http://dx.doi.org/10.17533/udea.redin.14828.

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In a black box system the internal parameters are not observables between input-output relationships. An approach is made knowing as estimation, based on the second probability moment. These results with a functional error and the innovation process are needed into identification structure. This process is known as an adaptive filter. Achieving a good convergence level with respect to the reference signal illustratively exemplified into simulation. The DC motor dynamical behavior is described by an adaptive filter without knowing the internal operation. Results compared with a methodology cons
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Neves, Francisco, Ricardo Vilaça, and José Pereira. "Detailed black-box monitoring of distributed systems." ACM SIGAPP Applied Computing Review 21, no. 1 (2021): 24–36. http://dx.doi.org/10.1145/3477133.3477135.

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Modern containerized distributed systems, such as big data storage and processing stacks or micro-service based applications, are inherently hard to monitor and optimize, as resource usage does not directly match hardware resources due to multiple virtualization layers. For instance, interapplication traffic is an important factor in as it directly indicates how components interact, it has not been possible to accurately monitor it in an application independent way and without severe overhead, thus putting it out of reach of cloud platforms. In this paper we present an efficient black-box moni
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Karabacak, Kerim. "A Grey-Box Model of a DC/DC Boost Converter for PV Energy Systems." International Transactions on Electrical Energy Systems 2024 (March 20, 2024): 1–18. http://dx.doi.org/10.1155/2024/3559456.

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This paper presents a grey-box model of a DC/DC boost converter for PV energy systems. The proposed model contains a white-box model part and a black-box model part together to prepare a better model for the PV boost converter. The white-box model part is used for knowledge of the circuit by mathematical equations since the black-box model part is used for unknown parameters such as temperature and electromagnetic interference. The black-box part of the proposed model is created by a nonlinear system identification of a real boost converter circuit with an artificial neural network. The precis
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Karadas, Georgiana, and Osman M. Karatepe. "Unraveling the black box." Employee Relations 41, no. 1 (2019): 67–83. http://dx.doi.org/10.1108/er-04-2017-0084.

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Purpose The purpose of this paper is to investigate the potential mediators that operate in the black box between high-performance work systems (HPWS) and employee outcomes. Design/methodology/approach The relationships the authors developed were assessed via data obtained from a time-lagged sample of customer-contact employees and their direct supervisors in the Romanian hotel industry. The study employed bias-corrected bootstrapping analysis to gauge the mediating effects. Findings The findings reveal that psychological capital mediates the impact of HPWS on work engagement. As hypothesized,
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Plimmer, Geoff, Jane Bryson, and Stephen T. T. Teo. "Opening the black box." Personnel Review 46, no. 7 (2017): 1434–51. http://dx.doi.org/10.1108/pr-10-2016-0275.

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Purpose The purpose of this paper is to explore how HIWS may shape organisational capabilities, in particular organisational ambidexterity (OA) – the ability to be both adaptable to the wider world, and internally aligned so that existing resources are used well. Given the demands on public agencies to manage conflicting objectives, and to do more with less in increasingly complex environments, this paper improves our understanding of how HIWS can contribute to public sector performance. The paper sheds light inside the black box of the HIWS/organisational performance link. Design/methodology/
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Dissertations / Theses on the topic "Black-box Systems"

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Mena, Roldán José. "Modelling Uncertainty in Black-box Classification Systems." Doctoral thesis, Universitat de Barcelona, 2020. http://hdl.handle.net/10803/670763.

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Currently, thanks to the Big Data boom, the excellent results obtained by deep learning models and the strong digital transformation experienced over the last years, many companies have decided to incorporate machine learning models into their systems. Some companies have detected this opportunity and are making a portfolio of artificial intelligence services available to third parties in the form of application programming interfaces (APIs). Subsequently, developers include calls to these APIs to incorporate AI functionalities in their products. Although it is an option that saves time and re
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Aydal, Emine Gokce. "Model Based Robustness Testing of Black box Systems." Thesis, University of York, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.507672.

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Estrada, Vargas Ana Paula, and Vargas Ana Paula Estrada. "Black-Box identification of automated discrete event systems." Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2013. http://tel.archives-ouvertes.fr/tel-00846194.

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This thesis deals with the identification of automated discrete event systems (DES) operating in an industrial context. In particular the work focuses on the systems composed by a plant and a programmable logic controller (PLC) operating in a closed loop- the identification consists in obtaining an approximate model expressed in interpreted Petri nets (IPN) from the observed behaviour given under the form of a single sequence of input-output vectors of the PLC. First, an overview of previous works on identification of DES is presented as well as a comparative study of the main recent approache
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Liem, Rhea Patricia. "Surrogate modeling for large-scale black-box systems." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/41559.

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Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2007.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Includes bibliographical references (p. 105-110).<br>This research introduces a systematic method to reduce the complexity of large-scale blackbox systems for which the governing equations are unavailable. For such systems, surrogate models are critical for many applications, such as Monte Carlo simulations; however, existing surrogate
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Estrada, Vargas Ana Paula. "Black-Box identification of automated discrete event systems." Thesis, Cachan, Ecole normale supérieure, 2013. http://www.theses.fr/2013DENS0006/document.

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Cette thèse traite de l'identification des systèmes à événements discrets (SED) automatisés dans un contexte industriel. En particulier, le travail aborde les systèmes formés par un processus et un automate programmable (AP) fonctionnant en boucle fermée - l'identification a pour but d’obtenir un modèle approximatif exprimé en réseaux de Petri interprétés (RPI) à partir du comportement externe observé sous la forme d'une seule séquence de vecteurs d’entrée-sortie de l’AP. Tout d'abord, une analyse des méthodes d'identification est présentée, ainsi qu’une étude comparative des méthodes récentes
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Hussain, Jabbar. "Deep Learning Black Box Problem." Thesis, Uppsala universitet, Institutionen för informatik och media, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-393479.

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Application of neural networks in deep learning is rapidly growing due to their ability to outperform other machine learning algorithms in different kinds of problems. But one big disadvantage of deep neural networks is its internal logic to achieve the desired output or result that is un-understandable and unexplainable. This behavior of the deep neural network is known as “black box”. This leads to the following questions: how prevalent is the black box problem in the research literature during a specific period of time? The black box problems are usually addressed by socalled rule extractio
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Grosfils, Aline. "First principles and black box modelling of biological systems." Doctoral thesis, Universite Libre de Bruxelles, 2007. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210677.

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Living cells and their components play a key role within biotechnology industry. Cell cultures and their products of interest are used for the design of vaccines as well as in the agro-alimentary field. In order to ensure optimal working of such bioprocesses, the understanding of the complex mechanisms which rule them is fundamental. Mathematical models may be helpful to grasp the biological phenomena which intervene in a bioprocess. Moreover, they allow prediction of system behaviour and are frequently used within engineering tools to ensure, for instance, product quality and reproducibility.
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Yates, James W. T. "Black box and mechanistic modelling of electronic nose systems." Thesis, University of Warwick, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.413428.

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Zielinski, Jacob Jonathan. "Adapting Response Surface Methods for the Optimization of Black-Box Systems." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/39295.

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Complex mathematical models are often built to describe a physical process that would otherwise be extremely difficult, too costly or sometimes impossible to analyze. Generally, these models require solutions to many partial differential equations. As a result, the computer codes may take a considerable amount of time to complete a single evaluation. A time tested method of analysis for such models is Monte Carlo simulation. These simulations, however, often require many model evaluations, making this approach too computationally expensive. To limit the number of experimental runs, it is commo
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Datta, Amit. "Fairness and Privacy Violations in Black-Box Personalization Systems: Detection and Defenses." Research Showcase @ CMU, 2018. http://repository.cmu.edu/dissertations/1137.

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Black box personalization systems have become ubiquitous in our daily lives. They utilize collected data about us to make critical decisions such as those related to credit approval and insurance premiums. This leads to concerns about whether these systems respect expectations of fairness and privacy. Given the black box nature of these systems, it is challenging to test whether they satisfy certain fundamental fairness and privacy properties. For the same reason, while many black box privacy enhancing technologies offer consumers the ability to defend themselves from data collection, it is un
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Books on the topic "Black-box Systems"

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Suykens, Johan A. K. Nonlinear Modeling: Advanced Black-Box Techniques. Springer US, 1998.

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Russell, David W. The BOXES Methodology: Black Box Dynamic Control. Springer London, 2012.

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Beizer, Boris. Black-box testing: Techniques for functional testing of software and systems. Wiley, 1995.

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Rosenbluth, William. Investigation and interpretation of black box data in automobiles: A guide to the concepts and formats of computer data in vehicle safety and control systems. ASTM Co. published with SAE, 2001.

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Rosenbluth, W., ed. Monograph 4 Investigation and Interpretation of Black Box Data in Automobiles: A Guide to the Concepts and Formats of Computer Data in Vehicle Safety and Control Systems. ASTM International, 2001. http://dx.doi.org/10.1520/mono4-eb.

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K, Iyer Ravishankar, and United States. National Aeronautics and Space Administration., eds. Analysis of large system black box verification test data. Coordinated Science Laboratory, College of Engineering, University of Illnois at Urbana-Champaign, 1993.

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Office, General Accounting. Internal controls: System problems affecting GSA's financial reporting : report to the administrator, General Services Administration. The Office, 1988.

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Office, General Accounting. Internal controls: Air Force can improve controls over contractor access to DOD supply system : report to congressional requesters. The Office, 1988.

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Office, General Accounting. Internal controls: Status of Army efforts to control contractor access to the DOD supply system : report to congressional requesters. The Office, 1988.

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undifferentiated, Young. Windows 95 Black Box. Prentice Hall PTR, 1997.

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Book chapters on the topic "Black-box Systems"

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Bhagavatula, Anuhya, Shrusti Ghela, and B. K. Tripathy. "Demystifying the Black Box." In Explainable, Interpretable, and Transparent AI Systems. CRC Press, 2024. http://dx.doi.org/10.1201/9781003442509-12.

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De Mulder, Wim. "Explainable Black Box Models." In Lecture Notes in Networks and Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16072-1_42.

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Fournier-Viger, Philippe, Mehdi Najjar, André Mayers, and Roger Nkambou. "From Black-Box Learning Objects to Glass-Box Learning Objects." In Intelligent Tutoring Systems. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11774303_26.

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Younes, Håkan L. S. "Probabilistic Verification for “Black-Box” Systems." In Computer Aided Verification. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11513988_25.

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Bošnački, Dragan. "Black Box Checking for Biochemical Networks." In Computational Methods in Systems Biology. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-25974-9_18.

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Dahiya, Manjeet, and Sorav Bansal. "Black-Box Equivalence Checking Across Compiler Optimizations." In Programming Languages and Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71237-6_7.

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Winfield, Alan F. T., and Marina Jirotka. "The Case for an Ethical Black Box." In Towards Autonomous Robotic Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64107-2_21.

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Major, Samuel, and Adam R. Fisher. "Black Box Concept in Family Systems Theory." In Encyclopedia of Couple and Family Therapy. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-49425-8_245.

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Major, Samuel, and Adam Fisher. "Black Box Concept in Family Systems Theory." In Encyclopedia of Couple and Family Therapy. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-15877-8_245-1.

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Liu, Xinghan, and Emiliano Lorini. "A Logic of “Black Box” Classifier Systems." In Logic, Language, Information, and Computation. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15298-6_10.

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Conference papers on the topic "Black-box Systems"

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M.E, Vasumathi A., Senthilkumar N, Subhiksha Poorani P, Santhosh Kumar A S, and Jeyasuryaprabaharan A. "Vehicle Black Box System using IoT." In 2025 International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2025. https://doi.org/10.1109/iciccs65191.2025.10985273.

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Alvey, Brendan J., Derek T. Anderson, and James M. Keller. "Linguistic Comparisons of Black Box Models." In 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2024. http://dx.doi.org/10.1109/fuzz-ieee60900.2024.10612004.

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Suryawanshi, Ranjeetsingh, Kunal Dhumal, Tanisha Patil, Mayur Borole, Rajvardhan Patil, and Prathamesh Pardeshi. "Revolutionizing Vehicle Safety and Alerting Black Box." In 2024 3rd International Conference on Automation, Computing and Renewable Systems (ICACRS). IEEE, 2024. https://doi.org/10.1109/icacrs62842.2024.10841605.

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Goi, Yue-Tian, Shu-Min Leong, Raphaël C. W. Phan, Shangqi Lai, and Ana Sălăgean. "Unveiling the Black Box: Neural Cryptanalysis with XAI." In 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2024. https://doi.org/10.1109/smc54092.2024.10831564.

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Zou, Yiwen, Wing W. Y. Ng, Xueli Zhang, Brick Loo, Xingfu Yan, and Ran Wang. "MCD: Defense Against Query-Based Black-Box Surrogate Attacks." In 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2024. https://doi.org/10.1109/smc54092.2024.10832063.

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Yuan, Xuejing, Jiangshan Zhang, Feng Guo, et al. "EvilHarmony: Stealthy Adversarial Attacks Against Black-Box Speech Recognition Systems." In 2025 IEEE Symposium on Security and Privacy (SP). IEEE, 2025. https://doi.org/10.1109/sp61157.2025.00259.

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Chathoth, Ajesh Koyatan, and Stephen Lee. "Dynamic Black-box Backdoor Attacks on IoT Sensory Data." In 2024 IEEE 6th International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS-ISA). IEEE, 2024. https://doi.org/10.1109/tps-isa62245.2024.00030.

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A, Anix Mary Javitha, and Mary Livinsa Z. "Black Box to Trust Box: Building Confidence in AI-Powered Diagnosis Through Explainable Models for COVID-19." In 2025 7th International Conference on Intelligent Sustainable Systems (ICISS). IEEE, 2025. https://doi.org/10.1109/iciss63372.2025.11076338.

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Huang, Zi-Xuan, Jia-Wei Chen, Zhi-Peng Zhang, and Chia-Mu Yu. "Prompting the Unseen: Detecting Hidden Backdoors in Black-Box Models." In 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN). IEEE, 2025. https://doi.org/10.1109/dsn64029.2025.00058.

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Kassem, Abdallah, Rabih Jabr, Ghady Salamouni, and Ziad Khairallah Maalouf. "Vehicle Black Box System." In 2008 2nd Annual IEEE Systems Conference. IEEE, 2008. http://dx.doi.org/10.1109/systems.2008.4519050.

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Reports on the topic "Black-box Systems"

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Vézina, Elizabeth J., Regina A. Asmutis-Silvia, Erica A. Fuller, et al. Report of the 6th Annual Ropeless Consortium Meeting: continued development and policy impact of on-demand fishing to prevent large whale entanglements. Woods Hole Oceanographic Institution, 2025. https://doi.org/10.1575/1912/71965.

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Seasonally closed trap fishery areas mitigate large whale entanglement risk. Acoustic retrieval of bottom traps without persistent vertical lines can restore fishery access. Concerns include functionality, cost and operational constraints of acoustically triggered ‘on-demand’ buoyant bottom-stowed line or an inflatable lift bags. Without surface gear attached to a vertical line from the trap(s), virtual gear marking and on-demand gear interoperability remain concerns. U.S.A. east coast lobster and west coast crab, as well as Canadian snow crab have been harvested using on-demand gear in areas
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Cabral, Lídia, Ronald Ranta, Suleyman Demi, et al. Grass-roots Innovation for Justice in Urban Food Provisioning. Institute of Development Studies, 2025. https://doi.org/10.19088/ids.2025.015.

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This paper draws on an international research collaboration to examine grass-roots innovations in food provisioning in five urban locations. These include affordable food projects, comprising social supermarkets and a vegetable box delivery scheme, in Brighton &amp; Hove, UK; an affordable food project targeting black communities in Toronto, Canada; a food fund piloted in Montpellier, France; Solidarity Kitchens in São Paulo, Brazil; and primary school gardens in Cape Town, South Africa. The paper examines the innovative features of these experiences, their comparison to conventional food bank
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Urban, Nathan. Black-Box Neural System Identificationand Differentiable Programming to Improve Earth System Model PredictionsFebruary. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769681.

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Kuhn, Alexander, and Stefan Hartmann. Das “Black-Box-Phänomen” in der KI-Entwicklung - Methodische Ansätze zur Schaffung von Transparenz und der Verbesserung des Zusammenspiels von Mensch, Technik und Organisation. Kompetenzzentrum Arbeitswelt.Plus, 2023. http://dx.doi.org/10.55594/sfah4426.

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Dieser Artikel untersucht methodische Ansätze zur Schaffung von Transparenz bei der Umsetzung von Künstlicher Intelligenz (KI) mit dem Schwerpunkt auf der Verbesserung der Interaktion zwischen Menschen, Technologie und Organisationen auf operativer Ebene. Ein initaler Praxisexkurs, der sich auf die Entwicklung und Anwendung von Machine Learning (ML) und statistischen Methoden zur Vorhersage im Bestandsmanagement konzentriert, dient dabei als praktisches Beispiel. Bei der Anwendung dieser Methoden auf einen realen Bestandsmanagement-Datensatz wurden die Unterschiede verglichen und dabei festges
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Anderson, Dylan, Annika O'Dea, Jessamin Straub, et al. Evaluation of the Version 1 Advanced Tactical Awareness Kit–Expeditionary Radar (ATAK-ER) for accuracy and reliability in surf-zone characterization in a range of environmental conditions. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48760.

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This Coastal and Hydraulics Engineering Technical Note (CHETN) presents the evaluation of a rapidly deployable radar and associated software for characterizing surf-zone waves, currents, and bathymetries at the US Army Engineer Research and Development Center (ERDC), Coastal and Hydraulics Laboratory (CHL), Field Research Facility (FRF), in Duck, North Carolina. This project was conducted at the request of the US Marine Corps (USMC) Warfighting Laboratory. The Version 1 Advanced Tactical Awareness Kit–Radar Expeditionary (ATAK-ER V1) system was deployed 15 times between July and August 2023 to
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Schaffer, Arthur A., and Jocelyn Rose. Understanding Cuticle Development in Tomato through the Study of Novel Germplasm with Malformed Cuticles. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7593401.bard.

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Plant cuticle development and metabolism are still poorly understood, partly due to the chemical complexity of the cuticular layer. The overall research objective was to broaden and deepen our understanding of tomato fruit cuticle development by analyzing novel germplasm with cuticular malformations and by studying the transcriptome and proteome of the fruit epidermal tissues, as strategies to overcome the challenges posed by the recalcitrance of the biological system. During the project we succeeded in identifying two genes with major impact on cuticle development. One of these encoded the fi
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Kleber, Emily J., Greg M. McDonald, W. Adolph Yonkee, and Elizabegth Balgord Balgord. Interim Geologic Map of the Plain City Southwest 7.5' Quadrangle, Weber and Box Elder Counties, Utah. Utah Geological Survey, 2024. http://dx.doi.org/10.34191/ofr-765.

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The Plain City Southwest (SW) and Ogden Bay 7.5′ quadrangles are in Weber, Box Elder, and Davis Counties. The quadrangles include parts of the communities of Hooper, Warren, and Reese, the Harold Crane Waterfowl Management Area, several waterfowl wetlands, as well as the southwestern corner of Willard Bay Reservoir. The North Fork and South Fork of the Weber River f low south into the Ogden Bay Wildlife Management Area at the edge of Great Salt Lake. The northwestern part of the Ogden Bay quadrangle and the southwestern part of the Plain City SW quadrangle contain most of Little Mountain, a sm
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Kleber, Emily J., Greg M. McDonald, W. Adolph Yonkee, and Elizabegth Balgord. Interim Geologic Map of the Ogden Bay 7.5' Quadrangle, Weber and Davis Counties, Utah. Utah Geological Survey, 2024. http://dx.doi.org/10.34191/ofr-766.

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The Plain City Southwest (SW) and Ogden Bay 7.5′ quadrangles are in Weber, Box Elder, and Davis Counties. The quadrangles include parts of the communities of Hooper, Warren, and Reese, the Harold Crane Waterfowl Management Area, several waterfowl wetlands, as well as the southwestern corner of Willard Bay Reservoir. The North Fork and South Fork of the Weber River f low south into the Ogden Bay Wildlife Management Area at the edge of Great Salt Lake. The northwestern part of the Ogden Bay quadrangle and the southwestern part of the Plain City SW quadrangle contain most of Little Mountain, a sm
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9

Sanders, Suzanne, and Jessica Kirschbaum. Forest health monitoring at Mississippi National River and Recreation Area: 2022 field season. National Park Service, 2023. http://dx.doi.org/10.36967/2301407.

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Abstract:
The Mississippi National River and Recreation area (MISS), situated along a 116 km stretch of the Mississippi River through the Minneapolis and St. Paul urban corridor, encompasses ~21,800 ha of public and private land. In 2022, the Great Lakes Inventory and Monitoring Network (GLKN) resampled permanent forest monitoring sites in the park, marking the second assessment of these sites, which were established and initially sampled in 2011. The goal of this long-term monitoring project is to provides managers with routine updates on which to base management decisions; these data can also be used
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