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Littérature scientifique sur le sujet « Stack models »

Auteur : Grafiati

Publié le 10 mars 2023

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Stack models"

Zhou, Wei, Haoran Li, Shiya Wen, et al. "Simulation of Soil Organic Carbon Content Based on Laboratory Spectrum in the Three-Rivers Source Region of China." Remote Sensing 14, no. 6 (2022): 1521. http://dx.doi.org/10.3390/rs14061521.

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Soil organic carbon (SOC) changes affect the land carbon cycle and are also closely related to climate change. Visible-near infrared spectroscopy (Vis-NIRS) has proven to be an effective tool in predicting soil properties. Spectral transformations are necessary to reduce noise and ensemble learning methods can improve the estimation accuracy of SOC. Yet, it is still unclear which is the optimal ensemble learning method exploiting the results of spectral transformations to accurately simulate SOC content changes in the Three-Rivers Source Region of China. In this study, 272 soil samples were co

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Wu, Chien-Chang, and Tsung-Lin Chen. "Dynamic Modeling of a Parallel-Connected Solid Oxide Fuel Cell Stack System." Energies 13, no. 2 (2020): 501. http://dx.doi.org/10.3390/en13020501.

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This study proposes novel simulation methods to model the power delivery function of a parallel-connected solid-oxide-fuel-cell stack system. The proposed methods are then used to investigate the possible thermal runaway induced by the performance mismatch between the employed stacks. A challenge in this modeling study is to achieve the same output voltage but different output current for each employed stack. Conventional fuel-cell models cannot be used, because they employ fuel flow rates and stack currents as the input variables. These two variables are unknown in the parallel-connected stac

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Raju, S. M. Taslim Uddin, Amlan Sarker, Apurba Das, et al. "An Approach for Demand Forecasting in Steel Industries Using Ensemble Learning." Complexity 2022 (February 25, 2022): 1–19. http://dx.doi.org/10.1155/2022/9928836.

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This paper aims to introduce a robust framework for forecasting demand, including data preprocessing, data transformation and standardization, feature selection, cross-validation, and regression ensemble framework. Bagging (random forest regression (RFR)), boosting (gradient boosting regression (GBR) and extreme gradient boosting regression (XGBR)), and stacking (STACK) are employed as ensemble models. Different machine learning (ML) approaches, including support vector regression (SVR), extreme learning machine (ELM), and multilayer perceptron neural network (MLP), are adopted as reference mo

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Babaie Rizvandi, Omid, and Robert Braun. "Utilizing Neural Networks for Optimizing the Performance of Solid Oxide Cell Stacks." ECS Meeting Abstracts MA2024-02, no. 48 (2024): 3342. https://doi.org/10.1149/ma2024-02483342mtgabs.

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Solid oxide cells (SOCs) are one of the promising energy conversion devices due to their high efficiency and relevance to many commercial and industrial applications. Much development progress has been made in the last 10-years improving the scale-up, degradation, and commercialization outlook globally. Further commercialization of the SOCs necessitates a deeper understanding of their complex internal processes. Experimental methods, albeit valuable, are constrained by cost and time and often cannot capture intricate details like distributions of species, current density, and temperature. Ther

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Ma, Zhiwen, Ramki Venkataraman, and Mohammad Farooque. "Study of the Gas Flow Distribution and Heat Transfer for Externally Manifolded Fuel Cell Stack Module Using Computational Fluid Dynamics Method." Journal of Fuel Cell Science and Technology 1, no. 1 (2004): 49–55. http://dx.doi.org/10.1115/1.1794155.

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Uniform gas flow distribution in a fuel cell system is desired to attain maximum power operation potential. Two types of manifold systems are often used in fuel cell stacks; they are internal manifold system and external manifold system. This paper presents the modeling approach using the Computational Fluid Dynamics (CFD) method in analyzing fluid flow and heat transfer for the external manifold fuel cell stacks and stack module design. Computational models based on a Megawatt carbonate fuel cell stack module have been developed for investigating the fuel and oxidant flow distributions throug

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Akal, D., K. Kahveci, and A. Cihan. "Mathematical Modelling of Drying of Rough Rice in Stacks." Food Science and Technology International 13, no. 6 (2007): 437–45. http://dx.doi.org/10.1177/1082013207087814.

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In this study, drying behaviour of rough rice stacks up to 30 cm is simulated with several models. The suitability of models is determined by the statistical analysis by examining the values of correlation coefficient, standard deviation and mean squared deviation. The results showed that the best model to explain the drying characteristics of rough rice stack is the Midilli et al. model and the coefficients and exponent in the Midilli et al. model could be expressed as functions of drying temperatures and stack height. Statistical analyses also showed that among the models with two coefficien

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Floerchinger, Gus, Chris Cadigan, Neal P. Sullivan, and Rob J. Braun. "Characterizing the Performance of kW-Scale Multi-Stack Solid Oxide Fuel Cell Modules through Modeling." ECS Meeting Abstracts MA2023-01, no. 54 (2023): 125. http://dx.doi.org/10.1149/ma2023-0154125mtgabs.

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Commercial-scale SOFC systems are comprised of power modules that contain multiple SOFC stacks. In the last decade, there has been much work on individual SOFC stack development and SOFC systems at the commercial scale (100-1000 kWe). Development of these commercial systems often utilizes models of a single representative SOFC stack to simulate the system’s prime mover. In practice, however, these representative single-stack SOFC models fail to consider the effects that arise due to the reality of multi-stack power modules used to construct commercial scale systems. Effects such as flow maldis

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FIORENZA, DOMENICO, CHRISTOPHER L. ROGERS та URS SCHREIBER. "A HIGHER CHERN–WEIL DERIVATION OF AKSZ σ-MODELS". International Journal of Geometric Methods in Modern Physics 10, № 01 (2012): 1250078. http://dx.doi.org/10.1142/s0219887812500788.

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Chern–Weil theory provides for each invariant polynomial on a Lie algebra 𝔤 a map from 𝔤-connections to differential cocycles whose volume holonomy is the corresponding Chern–Simons theory action functional. Kotov and Strobl have observed that this naturally generalizes from Lie algebras to dg-manifolds and to dg-bundles and that the Chern–Simons action functional associated this way to an n-symplectic manifold is the action functional of the AKSZ σ-model whose target space is the given n-symplectic manifold (examples of this are the Poisson σ-model or the Courant σ-model, including ordinary C

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Ibarra, Oscar H., and Ian McQuillan. "Generalizations of Checking Stack Automata: Characterizations and Hierarchies." International Journal of Foundations of Computer Science 32, no. 05 (2021): 481–508. http://dx.doi.org/10.1142/s0129054121410045.

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We examine different generalizations of checking stack automata by allowing multiple input heads and multiple stacks, and characterize their computing power in terms of two-way multi-head finite automata and space-bounded Turing machines. For various models, we obtain hierarchies in terms of their computing power. Our characterizations and hierarchies expand or tighten some previously known results. We also discuss some decidability questions and the space/time complexity of the models.

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Floerchinger, Gus, Chris Cadigan, Neal P. Sullivan, and Rob J. Braun. "Characterizing the Performance of kW-Scale Multi-Stack Solid Oxide Fuel Cell Modules through Modeling." ECS Transactions 111, no. 6 (2023): 803–8. http://dx.doi.org/10.1149/11106.0803ecst.

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The development of commercial SOFC systems often utilizes models of a single representative SOFC stack to simulate the system’s prime mover. In practice, however, these representative single-stack SOFC models fail to consider effects due to the reality of multi-stack power modules needed to construct commercial-scale systems. Effects such as flow maldistribution, inter-stack heat transfer, and area-specific resistance (ASR) variation between stack units within a single module will create deviations in performance from a single stack-based system simulation. The following outlines efforts to co

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Thèses sur le sujet "Stack models"

Coogle, John J. "Applying Hierarchical Tag-Topic Models to Stack Overflow." VCU Scholars Compass, 2019. https://scholarscompass.vcu.edu/etd/5713.

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Stack Overflow is a question and answer site for programming questions. It has become one of the most widely used resources for programmers, with many programmers accessing the site multiple times per day. A threat to the continued success of Stack Overflow is the ability to efficiently search the site. Existing research suggests that the inability to find certain questions results inunanswered questions, long delays in answering questions, or questions which are unable to be found by future visitors to the site. Further research suggests that questions with poor tag quality are particularly v

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Øvstegård, Øyvind Aunan. "Global Optimization and Inital Models In Seismic Pre-Stack Inversion." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for petroleumsteknologi og anvendt geofysikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19300.

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Abstract Pre stack inversion of seismic data consists of numerous difficulties. Two of the problems of greatest concern are the problems of non-uniqueness and non-linearity of the inversion. There may exist several solutions to any given inversion problem, and to be able to choose the correct solution we are dependent on a priori information. This thesis will explain how a priori information can be implemented with the seismic data using Bayesian modeling and fractal based initial methods in order to obtain the most likely solution for the inversion. This thesis will also explain the theory be

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Pommellet, Adrien. "On model-checking pushdown systems models." Thesis, Sorbonne Paris Cité, 2018. http://www.theses.fr/2018USPCC207/document.

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Cette thèse introduit différentes méthodes de vérification (ou model-checking) sur des modèles de systèmes à pile. En effet, les systèmes à pile (pushdown systems) modélisent naturellement les programmes séquentiels grâce à une pile infinie qui peut simuler la pile d'appel du logiciel. La première partie de cette thèse se concentre sur la vérification sur des systèmes à pile de la logique HyperLTL, qui enrichit la logique temporelle LTL de quantificateurs universels et existentiels sur des variables de chemin. Il a été prouvé que le problème de la vérification de la logique HyperLTL sur des sy

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Nawaz, Usman Shah. "Acoustic and Elastic Impedance Models of Gullfaks Field by Post-Stack Seismic Inversion." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for petroleumsteknologi og anvendt geofysikk, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-23738.

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Gullfaks is one of the major hydrocarbon producing fields in the Norwegian continental shelf. This field has a quite complex geology which makes routine seismic interpretation a challenging task for understanding the reservoir properties such as lithology and fluid content. Post-stack seismic inversion has proven to be a reliable tool for detailed understanding of the reservoir especially for lithological identification. In this study, post-stack seismic inversion method was used on acoustic and elastic impedance models to build an inverted impedance model. For this purpose, three horizons

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Marra, Dario. "Development of solid oxide fuel cell stack models for monitoring, diagnosis and control applications." Doctoral thesis, Universita degli studi di Salerno, 2013. http://hdl.handle.net/10556/1014.

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2011 - 2012 In the present thesis different SOFC stack models have been presented. The results shown were obtained in the general framework of the GENIUS project (GEneric diagNosis Instrument for SOFC systems), funded by the European Union (grant agreement n° 245128). The objective of the project is to develop “generic” diagnostic tools and methodologies for SOFC systems. The “generic” term refers to the flexibility of diagnosis tools to be adapted to different SOFC systems. In order to achieve the target of the project and to develop stack models suitable for monitoring, control an

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Shi, Li, and 时莉. "Long-term commodity procurement risk management using futures contracts: a dynamic stack-and-rollapproach." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hub.hku.hk/bib/B49858749.

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The procurement of commodity materials for production is an important issue in supply chain management. Effective procurement should consider both uncertain customer demand and fluctuating commodity price which, when act together, give rise to the procurement risk. To protect the bottom line, a manufacturer has to plan its procurement activities with special attention given to such procurement risk. Existing research has studied the use of exchange market-traded commodities in mitigating procurement risk. This study addresses the case of a manufacturer with long-term procurement commitmen

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Rosich, Oliva Albert. "Sensor placement for fault diagnosis based on structural models: application to a fuel cell stak system." Doctoral thesis, Universitat Politècnica de Catalunya, 2011. http://hdl.handle.net/10803/53635.

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The present work aims to increase the diagnosis systems capabilities by choosing the location of sensors in the process. Therefore, appropriate sensor location will lead to better diagnosis performance and implementation easiness. The work is based on structural models ands some simplifications are considered in order to only focus on the sensor placement analysis. Several approaches are studied to solve the sensor placement problem. All of them find the optimal sensor configuration. The sensor placement techniques are applied to a fuel cell stack system. The model used to describe the b

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Pachentseva, Marina, and Anna Bronskaya. "On Stock Index Volatility With Respect to Capitalization." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-1189.

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Condfidence in the future is a signicant factor for business development. However frequently, accurate and specific purposes are spread over the market environment influence.Thus,it is necessary to make an appropriate consideration of instability, which is peculiar to the dynamic development. Volatility, variance and standard deviation are used tocharacterize the deviation of the investigated quantity from mean value.Volatility is one of the main instruments to measure the risk of the asset.The increasing availability of financial market data has enlarged volatility res

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Němec, Pavel. "Finanční analýza STOCK Plzeň a.s." Master's thesis, Vysoká škola ekonomická v Praze, 2007. http://www.nusl.cz/ntk/nusl-8797.

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The subject is financial analysis of STOCK Plzeň a.s. The aim of the thesis is propose the analysisi of ekonomical and financial situation of the company. The analysis refers to stage ang progress of the company between the years 2002 - 2006. Especially due to accounting reports.

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Kowalczyk, Piotr Jozef. "Validation and application of advanced soil constitutive models in numerical modelling of soil and soil-structure interaction under seismic loading." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/275675.

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This thesis presents validation and application of advanced soil constitutive models in cases of seismic loading conditions. Firstly, results of three advanced soil constitutive models are compared with examples of shear stack experimental data for free field response in dry sand for shear and compression wave propagation. Higher harmonic generation in acceleration records, observed in experimental works, is shown to be possibly the result of soil nonlinearity and fast elastic unloading waves. This finding is shown to have high importance on structural response, real earthquake records and r

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Livres sur le sujet "Stack models"

Lee, Myung W. Applications of velocity-stack methods to seismic data processing. U.S. G.P.O., 1994.

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Goldfarb, Michael. Modeling piezoelectric stack actuators for control of micromanipulation. National Aeronautics and Space Administration, 1997.

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American Bar Association. Committee on Mergers and Acquisitions, ed. Model stock purchase agreement. 2nd ed. American Bar Association, 2010.

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Gulisashvili, Archil. Analytically Tractable Stochastic Stock Price Models. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31214-4.

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service), SpringerLink (Online, ed. Analytically Tractable Stochastic Stock Price Models. Springer Berlin Heidelberg, 2012.

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Pagan, Adrian R. Alternative models for conditional stock volatility. National Bureau of Economic Research, 1989.

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Ahmed, Ayaz. Stock market interlinkages in emerging markets. Pakistan Institute of Development Economics, 1998.

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Schwert, G. William. Heteroskedasticity in stock returns. National Bureau of Economic Research, 1989.

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Corrigan, Eoin. New models of market behaviour. Universitry College Dublin, 1995.

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Guo, Hui. Does stock market volatility forecast returns: The international evidence. Federal Reserve Bank of St. Louis, 2003.

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Chapitres de livres sur le sujet "Stack models"

Thakur, Kutub, Helen G. Barker, and Al-Sakib Khan Pathan. "ChatGPT Technology Stack." In Artificial Intelligence and Large Language Models. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003474173-3.

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Meduna, Alexander, and Ondřej Soukup. "Deep Pushdown Automata and New Stack Structures." In Modern Language Models and Computation. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63100-4_9.

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Ibarra, Oscar H., Jozef Jirásek, Ian McQuillan, and Luca Prigioniero. "Space Complexity of Stack Automata Models." In Developments in Language Theory. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48516-0_11.

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Roy, Debjit, and René de Koster. "Optimal Stack Layout Configurations at Automated Container Terminals Using Queuing Network Models." In Operations Research/Computer Science Interfaces Series. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39990-0_19.

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Braun, Tobias, Dennis Christmann, Reinhard Gotzhein, and Alexander Mater. "SDL Implementations for Wireless Sensor Networks – Incorporation of PragmaDev’s RTDS into the Deterministic Protocol Stack BiPS." In System Analysis and Modeling: Models and Reusability. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11743-0_19.

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Nicolau, Andréa Puzzi, Karen Dyson, Biplov Bhandari, David Saah, and Nicholas Clinton. "Fitting Functions to Time Series." In Cloud-Based Remote Sensing with Google Earth Engine. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26588-4_18.

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AbstractThe purpose of this chapter is to establish a foundation for time-series analysis of remotely sensed data, which is typically arranged as an ordered stack of images. You will be introduced to the concepts of graphing time series, using linear modeling to detrend time series, and fitting harmonic models to time-series data. At the completion of this chapter, you will be able to perform analysis of multi-temporal data for determining trend and seasonality on a per-pixel basis.

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Aspen, Dina Margrethe. "A Transportation Planning Decision Support System." In Business Transitions: A Path to Sustainability. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22245-0_19.

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AbstractIn this chapter, the CapSEM toolbox is explored, applied, and evaluated in the context of transportation planning and policy-making. Transportation system elements are analyzed across all four CapSEM levels to identify relevant tools to utilize in decision support systems to address sustainability in the sector. The toolbox is applied to a strategic transportation planning case study. The application demonstrates how the framework may be used to structure and stack models across system and performance levels to handle transportation modeling and stakeholder complexity.

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Schirmeier, Horst, Christoph Borchert, Martin Hoffmann, et al. "Dependability Aspects in Configurable Embedded Operating Systems." In Dependable Embedded Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52017-5_4.

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AbstractAs all conceptual layers in the software stack depend on the operating system (OS) to reliably provide resource-management services and isolation, it can be considered the “reliable computing base” that must be hardened for correct operation under fault models such as transient hardware faults in the memory hierarchy. In this chapter, we approach the problem of system-software hardening in three complementary scenarios. (1) We address the following research question: Where do the general reliability limits of static system-software stacks lie, if designed from scratch with reliability

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Perugini, Leonardo, Alessandro Pino, Alberto Solavagione, Davide Margaria, and Andrea Vesco. "Integrating the Self-sovereign Identity in the TCP/IP Stack While Preserving Interoperability with Existing Identity Models." In Engineering Cyber-Physical Systems and Critical Infrastructures. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83149-2_5.

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Rosilius, Maximilian, Markus Wilhelm, Ingo von Eitzen, Steffen Decker, Sebastian Damek, and Volker Braeutigam. "Sustainable Solutions by the Use of Immersive Technologies for Repurposing Buildings." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28839-5_62.

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AbstractIn the context of urban production and sustainable reuse of existing buildings, a detailed planning of the later usage is indispensable. One approach is to enable large-scale AR simulation on site with a sufficient Level of Detail (LoD) and stability. To determine performance metrics, a technology-stack is created and presented that enables a realistic field experiment in an industrial environment (area of 1,314 m2) using Microsoft HoloLens 2. For the experiment, a 3D model was instantiated as often as possible up to the limit of system stability and in different LoDs (100% down to 10%

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Actes de conférences sur le sujet "Stack models"

Minh, Truong Thanh, Doan Nguyen Tran Hoan, and Khanh-Duy Nguyen. "Attacking Forgery Detection Models Using a Stack of Multiple Strategies." In 2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR). IEEE, 2024. http://dx.doi.org/10.1109/mapr63514.2024.10660784.

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Dorszewski, Teresa, Albert Kjøller Jacobsen, Lenka Tětková, and Lars Kai Hansen. "How Redundant Is the Transformer Stack in Speech Representation Models?" In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10887866.

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Yun, Hyung Sup, and Il Yong Chun. "Improving Light Field Reconstruction from Limited Focal Stack Using Diffusion Models." In 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2024. http://dx.doi.org/10.1109/mlsp58920.2024.10734835.

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Jahanshahi, Mahmoud, and Audris Mockus. "Cracks in The Stack: Hidden Vulnerabilities and Licensing Risks in LLM Pre-Training Datasets." In 2025 IEEE/ACM International Workshop on Large Language Models for Code (LLM4Code). IEEE, 2025. https://doi.org/10.1109/llm4code66737.2025.00018.

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Pinto, Allan, Gustavo Leite, Marcio Pereira, Hervé Yviquel, Sandro Rigo, and Guido Araujo. "DeepWave: A Software Stack for Parallelizing Deep Learning Models Used in Geophysics." In 2024 IEEE 36th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD). IEEE, 2024. http://dx.doi.org/10.1109/sbac-pad63648.2024.00013.

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Jambigi, Neetha, Bartosz Bogacz, Moritz Mueller, Thomas Bach, and Michael Felderer. "Fault Localization via Fine-Tuning Large Language Models with Mutation Generated Stack Traces." In 2025 IEEE Conference on Software Testing, Verification and Validation (ICST). IEEE, 2025. https://doi.org/10.1109/icst62969.2025.10988982.

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Ayodele, Believe, and Victor Buttigieg. "A Multi-Level Network Traffic Classification in Combating Cyberattacks Using Stack Deep Learning Models." In 2024 8th Cyber Security in Networking Conference (CSNet). IEEE, 2024. https://doi.org/10.1109/csnet64211.2024.10851735.

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Sudhan Reddy, D. Madhu, and N. Usha Rani. "Smart Agriculture: A Web-Based Framework for Effective Crop Recommendation Using Stack Ensemble Models." In 2024 2nd International Conference on Cyber Physical Systems, Power Electronics and Electric Vehicles (ICPEEV). IEEE, 2024. https://doi.org/10.1109/icpeev63032.2024.10932115.

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Viedt, Isabell, Michel Gro�e (n� Mock), and Leon Urbas. "Development of a hybrid, semi-parametric Simulation Model of an AEM Electrolysis Stack Unit for large-scale System Simulations." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.129325.

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A key technology for integrating fluctuating renewable energy into the process industry is the production of green hydrogen through water electrolysis plants. Scaling up electrolysis plant capacity remains a significant challenge for the renewable energy transition. System simulation of large-scale electrolysis plants can support process design, monitoring, optimization, and maintenance scheduling. Hybrid modeling methods are promising for improving simulation reliability by combining process knowledge with process data, addressing gaps in understanding of the underlying processes. These hybri

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Headings, Leon M., and Gregory N. Washington. "Stiffness Controlled Piezoelectric Stick-Slip Actuator for Rapid Positioning Applications." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-80916.

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Rotary screw-type stick-slip actuators driven by smart materials offer the attractive characteristics of large stroke, fine resolution, high power-off holding force, and relative simplicity to manufacture. However, the actuation speed of current rotary stick-slip actuators limits their applications. The research presented in this study focuses on rapid positioning applications and involves the development of two mechanism designs. Both designs utilize piezoelectric stacks driven by sawtooth waves to provide stick-slip contact between two partially threaded jaws and a 1/4-80 screw. The first me

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Rapports d'organisations sur le sujet "Stack models"

Wilcox, Trevor, Ian Fleming, Kyle Dickert, Brian Key, Beverly Duran-Cash, and James Koster. Material and Stack Up Models. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1772380.

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Hermansen, Anna, and Cailean Osborne. The Economic and Workforce Impacts of Open Source AI: Insights from Industry, Academia, and Open Source Research Publications. The Linux Foundation, 2025. https://doi.org/10.70828/itvq4899.

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In a literature review commissioned by Meta, LF Research found that open source AI (OSAI) is widely adopted, cost effective, highly performing, and leads to faster and higher-quality development of tools and models. The study included a comprehensive analysis of academic and industry literature as well as empirical data from previous LF Research surveys to determine existing evidence of the economic and workforce impacts of OSAI. The study assessed these impacts in four areas: Adoption rates: a significant majority (89%) of organizations are using some form of open source in their AI stack and

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Panek. PR-312-12208-R01 Plume Volume Molar Ratio Method Assumptions and Conservative Model Over-Predictions. Pipeline Research Council International, Inc. (PRCI), 2013. http://dx.doi.org/10.55274/r0010806.

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With the introduction of the more stringent short-term 1-hour air quality NO2 standard, the use of redundant, overly conservative assumptions (e.g. use of permit allowable emissions � hourly rate based on maximum annual tons per year) is no longer appropriate and potentially misinforms and obfuscates modeling compliance demonstrations. One of the challenges of modeling oxides of nitrogen (NOx) emissions is determining the amount of total NOx that will exist in the form of nitrogen dioxide (NO2) at a receptor. Combustion source emissions usually contain mostly nitric oxide (NO), which is not a

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Panek and Young. PR-312-12208-R02 Limitations and Costs Associated with Raising Existing RICE Stack Heights. Pipeline Research Council International, Inc. (PRCI), 2014. http://dx.doi.org/10.55274/r0010556.

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Modeling of actual and hypothetical compressor station facilities concluded increasing reciprocating engine stack height as one potential mitigation measure to reduce modeled impacts below the primary 1-hour NO2 National Ambient Air Quality Standards (NAAQS). Increasing stack heights to between 50-75 feet appears to offer considerable relief based on typical facility configurations (e.g., compressor house height, stack parameters). This white paper discusses potential stack design criteria to be considered when increasing existing exhaust stack heights or planning considerations for new units.

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Yang, Yu, Hen-Geul Yeh, and Bryan Aguirre. Fuel Cell System Development for Heavy Duty Vehicles. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2025.2441.

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As California advances its ambitious goals for transportation electrification to combat climate change, hydrogen-powered fuel cells are emerging as a viable solution for overcoming the challenges of heavy-duty vehicles, offering an efficient alternative to lithium-ion batteries because they produce minimal chemical, thermal, and carbon emissions. One type of hydrogen fuel cell technology called proton exchange membrane fuel cells (PEMFCs) has garnered the most attention due to its distinct advantages, including relatively low operating temperatures (60–80 °C) and reliable performance at high c

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Pagan, Adrian, and G. William Schwert. Alternative Models For Conditional Stock Volatility. National Bureau of Economic Research, 1989. http://dx.doi.org/10.3386/w2955.

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Dassanayake, Wajira, Chandimal Jayawardena, Iman Ardekani, and Hamid Sharifzadeh. Models Applied in Stock Market Prediction: A Literature Survey. Unitec ePress, 2019. http://dx.doi.org/10.34074/ocds.12019.

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Stock market prices are intrinsically dynamic, volatile, highly sensitive, nonparametric, nonlinear, and chaotic in nature, as they are influenced by a myriad of interrelated factors. As such, stock market time series prediction is complex and challenging. Many researchers have been attempting to predict stock market price movements using various techniques and different methodological approaches. Recent literature confirms that hybrid models, integrating linear and non-linear functions or statistical and learning models, are better suited for training, prediction, and generalisation performan

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Sones, David. Psychological Models and the Stock of Knowledge. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.6627.

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Panek, McCarthy, and Drayton. PR-312-12208-R04 NO2-NOx Ratio Data Compilation and Assessment. Pipeline Research Council International, Inc. (PRCI), 2016. http://dx.doi.org/10.55274/r0011012.

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When modeling NO2 impacts from combustion sources, justification is required to receive approval of a representative in-stack NO2/NOx ratio, which is a key model input when using advanced modeling tiers that consider plume chemistry. A September 30, 2014 EPA memorandum requires approval by the Regional Office on a case-by-case basis regarding the selection and application of the in-stack NO2/NOx ratio. The EPA Tier 2 Ambient Ratio Method (ARM2) and Tier 3 Ozone Limiting Method (OLM) and Plume Volume Molar Ratio Method (PVMRM) NO2 methods require an in-stack NO2/NOx ratio (ISR) as an input to A

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Panek, Jeffrey, Adrian Huth, Alan Krol, and James McCarthy. PR-312-18208-R03 AERMOD Performance Assessments, Implementation Issues and Recommended Improvements. Pipeline Research Council International, Inc. (PRCI), 2022. http://dx.doi.org/10.55274/r0012232.

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In 2010, the U.S. Environmental Protection Agency (EPA) adopted a 1-hour nitrogen dioxide (NO2) National Ambient Air Quality Standard (NAAQS) of 100 parts per billion (ppb) or approximately 188 micrograms per cubic meter (�g/m3) that is considerably more stringent than the longstanding annual standard of 53 ppb (100 �g/m3). New or modified compressor units may be encumbered by federal or state regulatory requirements to demonstrate compliance with the NO2 NAAQS using AERMOD, EPA's dispersion model, because the new NAAQS greatly reduces the compliance margin. Compressor stations have been incre

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