Relevant bibliographies by topics / Black-box Analysis

Contents

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

Academic literature on the topic 'Black-box Analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 July 2025

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Journal articles on the topic "Black-box Analysis"

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NAILA, FIRDAUS, and MANISHA DAWRA Ms. "Requirement Analysis of Black Box Testing." International Journal of Advances in Engineering & Scientific Research 1, no. 5 (2014): 19–23. https://doi.org/10.5281/zenodo.10721079.

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<strong><em>Abstract</em></strong> <em>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </em><em>Black Box Testing is used when code of the module is not available. Black box testing treats the system as a &ldquo;black-box&rdquo;, so it doesn&rsquo;t explicitly use knowledge of the internal structure or code. Or in other words the Test engineer need not know the internal working of the &ldquo;Black box&rdquo; or application. In such situations appropriate priorities can be given to different test cases, s
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Resende, David Nunes, Xiaowen Yu, Sílvia Gaia, and David V. Gibson. "Inside the Black Box." International Journal of Information Systems and Social Change 8, no. 4 (2017): 1–22. http://dx.doi.org/10.4018/ijissc.2017100101.

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This article uses an original three-phase approach for empirical assessment and comparative evaluation of the efficiency of university technology transfer. It is based on analysis of inputs and outputs of a disclosure phase followed by a value-add phase and a final license phase, using a multidimensional framework. The objective is to find university Technology Transfer Office (TTO) efficiency and effectiveness patterns for each phase as well as overall TT processes. A network Data Envelopment Analysis (DEA) model was used to analyze and describe the complicated TT operational processes using
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Leshkevich, Tatiana G. "Metaphors of the digital age and the Black Box Problem." Philosophy of Science and Technology 27, no. 1 (2022): 34–48. http://dx.doi.org/10.21146/2413-9084-2022-27-1-34-48.

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The article discusses the effects of the digital era, the driver of which is AI. The main goal is to fo­cus on the Black Box Problem, “opacity of AI” and the possibility of Malicious Use of Artificial In­telligence. Three interconnected directions are interfaced. Firstly, in the context of the analysis of the digital age, the potential of metaphors is used, which makes it possible to describe digital trans­formations figuratively. Secondly, due to the growing demand for high technologies, the negative consequences of using AI are considered and a number of paradoxes of scientific and technolog
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Mickelborough, Jane. "Unpacking the black box." Reviews in Clinical Gerontology 7, no. 4 (1997): 287–88. http://dx.doi.org/10.1017/s0959259897007417.

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There are two black boxes. One is Pandora's, stuff of myth and legend, and remembered for releasing into the world all its cares and troubles, leaving only hope behind in the bottom of the box. The other, more recent and less mythical, is the in-flight recorder, used to monitor the events in an aircraft's flight, for later analysis in case of difficulty. Both these boxes have their analogy when we consider the role and current state of rehabilitation research in physiotherapy.
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Kim, Byol, and Rina Foygel Barber. "Black-box tests for algorithmic stability." Information and Inference: A Journal of the IMA 12, no. 4 (2023): 2690–719. http://dx.doi.org/10.1093/imaiai/iaad039.

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Abstract Algorithmic stability is a concept from learning theory that expresses the degree to which changes to the input data (e.g. removal of a single data point) may affect the outputs of a regression algorithm. Knowing an algorithm’s stability properties is often useful for many downstream applications—for example, stability is known to lead to desirable generalization properties and predictive inference guarantees. However, many modern algorithms currently used in practice are too complex for a theoretical analysis of their stability properties, and thus we can only attempt to establish th
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Lamb, Anthony R. "Computer analysis: avoiding the ‘black box’ syndrome." Proceedings of the Institution of Civil Engineers - Civil Engineering 157, no. 3 (2004): 134–39. http://dx.doi.org/10.1680/cien.2004.157.3.134.

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Lamb, Anthony R. "Computer analysis: avoiding the ‘black box’ syndrome." Civil Engineering Innovation 1, no. 2 (2007): 93–99. http://dx.doi.org/10.1680/einn.2007.1.2.93.

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Lamb, Anthony R. "Computer analysis: avoiding the ‘black box’ syndrome." Civil Engineering Innovation 1, no. 2 (2007): 93–99. http://dx.doi.org/10.1680/jciei.2007.13258.

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Birkmeyer, John D., and Jean Y. Liu. "Decision analysis models: Opening the black box." Surgery 133, no. 1 (2003): 1–4. http://dx.doi.org/10.1067/msy.2003.21.

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Rossi, Dario, Elisa Sottile, and Paolo Veglia. "Black-box analysis of Internet P2P applications." Peer-to-Peer Networking and Applications 4, no. 2 (2010): 146–64. http://dx.doi.org/10.1007/s12083-010-0072-4.

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Dissertations / Theses on the topic "Black-box Analysis"

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Arlt, Stephan [Verfasser], and Andreas [Akademischer Betreuer] Podelski. "Program analysis and black-box GUI testing = Program Analysis und Black-box GUI Testing." Freiburg : Universität, 2014. http://d-nb.info/1123479232/34.

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Mohammadi, Hossein. "Kriging-based black-box global optimization : analysis and new algorithms." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEM005/document.

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L’«Efficient Global Optimization» (EGO) est une méthode de référence pour l’optimisation globale de fonctions «boites noires» coûteuses. Elle peut cependant rencontrer quelques difficultés, comme le mauvais conditionnement des matrices de covariance des processus Gaussiens (GP) qu’elle utilise, ou encore la lenteur de sa convergence vers l’optimum global. De plus, le choix des paramètres du GP, crucial car il contrôle la famille des fonctions d’approximation utilisées, mériterait une étude plus poussée que celle qui en a été faite jusqu’à présent. Enfin, on peut se demander si l’évaluation cla
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Atamna, Asma. "Analysis of Randomized Adaptive Algorithms for Black-Box Continuous Constrained Optimization." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS010/document.

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On s'intéresse à l'étude d'algorithmes stochastiques pour l'optimisation numérique boîte-noire. Dans la première partie de cette thèse, on présente une méthodologie pour évaluer efficacement des stratégies d'adaptation du step-size dans le cas de l'optimisation boîte-noire sans contraintes. Le step-size est un paramètre important dans les algorithmes évolutionnaires tels que les stratégies d'évolution; il contrôle la diversité de la population et, de ce fait, joue un rôle déterminant dans la convergence de l'algorithme. On présente aussi les résultats empiriques de la comparaison de trois méth
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ROSSIGNOLI, DOMENICO. "DEMOCRACY, INSTITUTIONS AND GROWTH: EXPLORING THE BLACK BOX." Doctoral thesis, Università Cattolica del Sacro Cuore, 2013. http://hdl.handle.net/10280/1870.

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La letteratura economica e politologica evidenzia un ampio consenso sull’esistenza di un effetto positivo sulla crescita di lungo periodo da parte di diritti di proprietà, stato di diritto e, in generale, istituzioni economiche. Contestualmente, il rapporto tra democrazia e crescita rimane teoricamente poco chiaro mentre l'evidenza empirica è in gran parte inconcludente. Questo studio cerca di riconciliare i fatti stilizzati su crescita e democrazia qui evidenziati, che dimostrano l'esistenza di un "successo sinergico" negli ultimi trent'anni, con la teoria esistente e l’evidenza empirica. Dop
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ROSSIGNOLI, DOMENICO. "DEMOCRACY, INSTITUTIONS AND GROWTH: EXPLORING THE BLACK BOX." Doctoral thesis, Università Cattolica del Sacro Cuore, 2013. http://hdl.handle.net/10280/1870.

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La letteratura economica e politologica evidenzia un ampio consenso sull’esistenza di un effetto positivo sulla crescita di lungo periodo da parte di diritti di proprietà, stato di diritto e, in generale, istituzioni economiche. Contestualmente, il rapporto tra democrazia e crescita rimane teoricamente poco chiaro mentre l'evidenza empirica è in gran parte inconcludente. Questo studio cerca di riconciliare i fatti stilizzati su crescita e democrazia qui evidenziati, che dimostrano l'esistenza di un "successo sinergico" negli ultimi trent'anni, con la teoria esistente e l’evidenza empirica. Dop
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Karcher, Cody Jacob. "A heuristic for including black box analysis tools into a geometric programming formulation." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112465.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 79-82).<br>Recently, geometric programming has been proposed as a powerful tool for enhancing aircraft conceptual design. While geometric programming has shown promise in early studies, current formulations preclude the designer from using black box analysis codes which are prolific in the aircraft design community. Previous work has shown the ability to fit data from these black box codes prior to the opti
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Eskandari, Aram, and Benjamin Tellström. "Analysis of the Performance Impact of Black-box Randomization for 7 Sorting Algorithms." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231089.

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Can black-box randomization change the performance of algorithms? The problem of worst-case behaviour in algorithms is difficult to handle, black-box randomization is one method that has not been rigorously tested. If it could be used to mitigate worst-case behaviour for our chosen algorithms, black-box randomization should be seriously considered for active usage in more algorithms. We have found variables that can be put through a black-box randomizer while our algorithm still gives correct output. These variables have been disturbed and a qualitative manual analysis has been done to observe
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Brown, Morgan Lorene. "Of Mice and Men: The Development and Analysis of a Black Box Production." Kent State University Honors College / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1575839244848729.

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Menguy, Grégoire. "Black-box code analysis for reverse engineering through constraint acquisition and program synthesis." Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG023.

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Les logiciels sont de plus en plus grands et complexes. Ainsi, certaines tâches comme le test et la vérification de code, ou la compréhension de code, sont de plus en plus difficiles à réaliser pour un humain. D'où la nécessité de développer des méthodes d'analyse automatique. Celles-ci sont usuellement en boîte blanche, utilisant la syntaxe du code pour déduire ses propriétés. Elles sont très efficaces mais présentent certaines limitations: le code source est nécessaire, la taille et la complexité syntaxique du code (accentuée par des optimisations et de l'obfuscation) impactent leur efficaci
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Jankovic, Anja. "Towards Online Landscape-Aware Algorithm Selection in Numerical Black-Box Optimization." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS302.

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Les algorithmes d'optimisation de boîte noire (BBOA) sont conçus pour des scénarios où les formulations exactes de problèmes sont inexistantes, inaccessibles, ou trop complexes pour la résolution analytique. Les BBOA sont le seul moyen de trouver une bonne solution à un tel problème. En raison de leur applicabilité générale, les BBOA présentent des comportements différents lors de l'optimisation de différents types de problèmes. Cela donne un problème de méta-optimisation consistant à choisir l'algorithme le mieux adapté à un problème particulier, appelé problème de sélection d'algorithmes (AS
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Books on the topic "Black-box Analysis"

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Narang, Rishi K. Inside the Black Box. John Wiley & Sons, Ltd., 2009.

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Thomas, Phelps. Black Box Pop: Analysen populärer Musik. Transcript, 2012.

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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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Kleinbaum, Adam M. Inside the black box of the corporate staff: An exploratory analysis through the lens of e-mail networks. Harvard Business School, 2011.

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Bibel, G. D. Beyond the black box: The forensics of airplane crashes. Johns Hopkins University Press, 2008.

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Inside the Fft Black Box. Chapman & Hall/CRC, 2001.

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Helms, Dietrich, and Thomas Phleps (verst ). Black Box Pop: Analysen Populärer Musik. Transcript Verlag, 2014.

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Black Box Pop: Analysen Popularer Musik. transcript Verlag, 2014.

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Martynenko, Sergey I. Robust Multigrid Technique: For Black-Box Software. de Gruyter GmbH, Walter, 2017.

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Martynenko, Sergey I. Robust Multigrid Technique: For Black-Box Software. de Gruyter GmbH, Walter, 2017.

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Book chapters on the topic "Black-box Analysis"

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Laski, Janusz, and William Stanley. "Prepare Test for Any Implementation: Black-Box Testing." In Software Verification and Analysis. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-240-5_4.

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Vinokurov, Dmitry, and Maxim Buzdalov. "Towards Fixed-Target Black-Box Complexity Analysis." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14721-0_42.

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Bornot, Sebastien, Remi Morin, Peter Niebert, and Sarah Zennou. "Black Box Unfolding with Local First Search." In Tools and Algorithms for the Construction and Analysis of Systems. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46002-0_27.

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Jager, Tibor. "Analysis of Cryptographic Assumptions in the Generic Ring Model." In Black-Box Models of Computation in Cryptology. Vieweg+Teubner Verlag, 2012. http://dx.doi.org/10.1007/978-3-8348-1990-1_4.

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Waga, Masaki, Ezequiel Castellano, Sasinee Pruekprasert, Stefan Klikovits, Toru Takisaka, and Ichiro Hasuo. "Dynamic Shielding for Reinforcement Learning in Black-Box Environments." In Automated Technology for Verification and Analysis. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-19992-9_2.

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Movin, Maria, Guilherme Dinis Junior, Jaakko Hollmén, and Panagiotis Papapetrou. "Explaining Black Box Reinforcement Learning Agents Through Counterfactual Policies." In Advances in Intelligent Data Analysis XXI. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30047-9_25.

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Fukuyama, Hirofumi, and William L. Weber. "Measuring Bank Performance: From Static Black Box to Dynamic Network Models." In Handbook of Operations Analytics Using Data Envelopment Analysis. Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7705-2_10.

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Shalileh, Soroosh. "Classification Using Marginalized Maximum Likelihood Estimation and Black-Box Variational Inference." In Data Analysis and Optimization. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-31654-8_21.

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Zhao, Mingyi, and Peng Liu. "Empirical Analysis and Modeling of Black-Box Mutational Fuzzing." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30806-7_11.

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Stuckey, Jordan, Atef Shalan, Lei Chen, and Yiming Ji. "Comparative Analysis of Black Box Attacks in Information Security." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-86637-1_32.

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Conference papers on the topic "Black-box Analysis"

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Fygenson, Racquel, Kazi Jawad, Isabel Li, et al. "Opening the Black Box of 3D Reconstruction Error Analysis with VECTOR." In 2024 IEEE Visualization and Visual Analytics (VIS). IEEE, 2024. https://doi.org/10.1109/vis55277.2024.00065.

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Cholke, Puja, Parth Kalani, Saniya Patil, and Parth Petkar. "Employing Black Box Mechanism for Investigation and Analysis of Road Accidents." In 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE, 2024. http://dx.doi.org/10.1109/icesc60852.2024.10690022.

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Siebenkotten, Dario, Manuel Marschall, Arne Hoehl, Bernd Kästner, and Shuhei Amakawa. "Nanoscale Permittivity Analysis in s-SNOM using a Black-Box Calibration Method." In 2024 49th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz). IEEE, 2024. http://dx.doi.org/10.1109/irmmw-thz60956.2024.10697669.

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Rodríguez-Lois, Elena, and Fernando Pérez-González. "Collusion-resistant Black-box Watermarking in Federated Learning through Weight Relevance Analysis." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10888286.

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Zhao, Zhengnan, Xiao Chen, Wenjuan Du, Bei Zhao, and Hao Chen. "Black-Box Based Grid-Connected Stability Analysis Method for Grid-Following Inverters." In 2024 3rd Asian Conference on Frontiers of Power and Energy (ACFPE). IEEE, 2024. https://doi.org/10.1109/acfpe63443.2024.10801056.

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Paul, Robi, and Michael Zuzak. "Michscan: Black-Box Neural Network Integrity Checking at Runtime Through Power Analysis." In 2025 IEEE International Symposium on Hardware Oriented Security and Trust (HOST). IEEE, 2025. https://doi.org/10.1109/host64725.2025.11050062.

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Li, Shaofei, Ziqi Zhang, Haomin Jia, Yao Guo, Xiangqun Chen, and Ding Li. "Query Provenance Analysis: Efficient and Robust Defense Against Query-Based Black-Box Attacks." In 2025 IEEE Symposium on Security and Privacy (SP). IEEE, 2025. https://doi.org/10.1109/sp61157.2025.00072.

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Mohammed, Nabil, Weihua Zhou, Behrooz Bahrani, David Hill, and Frede Blaabjerg. "PRBS-Based Impedance Measurement Tool for Stability Analysis of Black-Box EMT Models in PSCAD." In 2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA). IEEE, 2024. http://dx.doi.org/10.1109/esmarta62850.2024.10638870.

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Rashid, Kashif, William Bailey, and Benoı̂t Couët. "Large-scale expensive black-box function optimization." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics. AIP, 2012. http://dx.doi.org/10.1063/1.4756351.

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Mery, Domingo. "True Black-Box Explanation in Facial Analysis." In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2022. http://dx.doi.org/10.1109/cvprw56347.2022.00166.

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Reports on the topic "Black-box Analysis"

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Canto, Patricia, ed. From Plan to Process: Exploring the Leadership Implications of RIS3. Universidad de Deusto, 2015. http://dx.doi.org/10.18543/yxzh8997.

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Regional innovation strategies for smart specialisation (RIS3) are currently receiving much attention in the face of the European Commission’s requirement that all regions develop smart specialisation strategies in order to receive structural funds linked to innovation. Yet the entrepreneurial discovery process that is at the core of the smart specialisation concept remains a black box. The paper looks inside this black box through an exploration of leadership requirements. A review of literature on place leadership and territorial strategy identifies three key considerations for leadership if
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Haney, Richard H., Eric Darve, Mohammad P. Ansari, Rohit Pataki, AmirHossein AminFar, and Dale Shires. Analysis and Implementation of Particle-to-Particle (P2P) Graphics Processor Unit (GPU) Kernel for Black-Box Adaptive Fast Multipole Method. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada625090.

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Chronopoulos, Ilias, Katerina Chrysikou, George Kapetanios, James Mitchell, and Aristeidis Raftapostolos. Deep Neural Network Estimation in Panel Data Models. Federal Reserve Bank of Cleveland, 2023. http://dx.doi.org/10.26509/frbc-wp-202315.

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In this paper we study neural networks and their approximating power in panel data models. We provide asymptotic guarantees on deep feed-forward neural network estimation of the conditional mean, building on the work of Farrell et al. (2021), and explore latent patterns in the cross-section. We use the proposed estimators to forecast the progression of new COVID-19 cases across the G7 countries during the pandemic. We find significant forecasting gains over both linear panel and nonlinear time-series models. Containment or lockdown policies, as instigated at the national level by governments,
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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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Gerberding, Seth. Black Box Equations of State: Creating Semi-analytic Solutions to the Noh Problem and Verifying Equation of State Interfaces. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2433996.

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Or, Etti, Tai-Ping Sun, Amnon Lichter, and Avichai Perl. Characterization and Manipulation of the Primary Components in Gibberellin Signaling in the Grape Berry. United States Department of Agriculture, 2010. http://dx.doi.org/10.32747/2010.7592649.bard.

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Seedless cultivars dominate the table grape industry. In these cultivars it is mandatory to apply gibberellin (GA) to stimulate berry development to a commercially acceptable size. These cultivars differ in their sensitivity to GA application, and it frequently results in adverse effects such as decreased bud fertility and increased fruit drop. Our long term goals are to (1) understand the molecular basis for the differential sensitivity and identify markers for selection of sensitive cultivars (2) to develop new strategies for targeted manipulation of the grape berry response to GA that will
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