Bibliografías temáticas / Moduli randomization

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Literatura académica sobre el tema "Moduli randomization"

Autor: Grafiati
Publicado: 25 de mayo de 2024

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Artículos de revistas sobre el tema "Moduli randomization"

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Csorgő, M., Z. Y. Lin та Q. M. Shao. "Randomization Moduli of Continuity for ℓ2-Norm Squared Ornstein-Uhlenbeck Processes". Canadian Journal of Mathematics 45, № 2 (1993): 269–83. http://dx.doi.org/10.4153/cjm-1993-013-3.

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Stankiewicz, Anna, and Sławomir Juściński. "How to Make the Stress Relaxation Experiment for Polymers More Informative." Polymers 15, no. 23 (2023): 4605. http://dx.doi.org/10.3390/polym15234605.

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Different viscoelastic models and characteristics are commonly used to describe, analyze, compare and improve the mechanical properties of polymers. A time-dependent linear relaxation modulus next to frequency-domain storage and loss moduli are the basic rheological material functions of polymers. The exponential Maxwell model and the exponential stretched Kohlrausch–Williams–Watts model are, probably, the most known linear rheological models of polymers. There are different identification methods for such models, some of which are dedicated to specific models, while others are general in natu
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Schwamb, Megan E., Jeremy Kubica, Mario Jurić, et al. "Controlling Randomization in Astronomy Simulations." Research Notes of the AAS 8, no. 1 (2024): 25. http://dx.doi.org/10.3847/2515-5172/ad1f6b.

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Abstract As the primary requirement, correctly implementing and controlling random number generation is vital for a range of scientific analyses and simulations across astronomy and planetary science. Beyond advice on how to set the seed, there is little guidance in the literature for how best to handle pseudo-random number generation in the current era of open-source astronomical software development. We present our methodology for implementing a pseudo-random number generation in astronomy simulations and software and share the short lines of python code that create the generator. Without sa
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Sun, Shi-Hai, and Lin-Mei Liang. "Experimental demonstration of an active phase randomization and monitor module for quantum key distribution." Applied Physics Letters 101, no. 7 (2012): 071107. http://dx.doi.org/10.1063/1.4746402.

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Wu, Jiayao, Chen He, Jiahui Xie, Xiaopeng Liu, and Minghui Zhang. "Twin-Field Quantum Digital Signature with Fully Discrete Phase Randomization." Entropy 24, no. 6 (2022): 839. http://dx.doi.org/10.3390/e24060839.

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Quantum digital signatures (QDS) are able to verify the authenticity and integrity of a message in modern communication. However, the current QDS protocols are restricted by the fundamental rate-loss bound and the secure signature distance cannot be further improved. We propose a twin-field quantum digital signature (TF-QDS) protocol with fully discrete phase randomization and investigate its performance under the two-intensity decoy-state setting. For better performance, we optimize intensities of the signal state and the decoy state for each given distance. Numerical simulation results show
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Zhao, Yizhou, and Hua Sun. "Expand-and-Randomize: An Algebraic Approach to Secure Computation." Entropy 23, no. 11 (2021): 1461. http://dx.doi.org/10.3390/e23111461.

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We consider the secure computation problem in a minimal model, where Alice and Bob each holds an input and wish to securely compute a function of their inputs at Carol without revealing any additional information about the inputs. For this minimal secure computation problem, we propose a novel coding scheme built from two steps. First, the function to be computed is expanded such that it can be recovered while additional information might be leaked. Second, a randomization step is applied to the expanded function such that the leaked information is protected. We implement this expand-and-rando
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Steffen, Alana D., Larisa A. Burke, Heather A. Pauls, et al. "Double-blinding of an acupuncture randomized controlled trial optimized with clinical translational science award resources." Clinical Trials 17, no. 5 (2020): 545–51. http://dx.doi.org/10.1177/1740774520934910.

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Background Clinical trial articles often lack detailed descriptions of the methods used to randomize participants, conceal allocation, and blind subjects and investigators to group assignment. We describe our systematic approach to implement and measure blinding success in a double-blind phase 2 randomized controlled trial testing the efficacy of acupuncture for the treatment of vulvodynia. Methods Randomization stratified by vulvodynia subtype is managed by Research Electronic Data Capture software’s randomization module adapted to achieve complete masking of group allocation. Subject and acu
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Didier, Gilles, Alberto Valdeolivas, and Anaïs Baudot. "Identifying communities from multiplex biological networks by randomized optimization of modularity." F1000Research 7 (July 10, 2018): 1042. http://dx.doi.org/10.12688/f1000research.15486.1.

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The identification of communities, or modules, is a common operation in the analysis of large biological networks. The Disease Module Identification DREAM challenge established a framework to evaluate clustering approaches in a biomedical context, by testing the association of communities with GWAS-derived common trait and disease genes. We implemented here several extensions of the MolTi software that detects communities by optimizing multiplex (and monoplex) network modularity. In particular, MolTi now runs a randomized version of the Louvain algorithm, can consider edge and layer weights, a
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Didier, Gilles, Alberto Valdeolivas, and Anaïs Baudot. "Identifying communities from multiplex biological networks by randomized optimization of modularity." F1000Research 7 (November 22, 2018): 1042. http://dx.doi.org/10.12688/f1000research.15486.2.

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The identification of communities, or modules, is a common operation in the analysis of large biological networks. The Disease Module Identification DREAM challenge established a framework to evaluate clustering approaches in a biomedical context, by testing the association of communities with GWAS-derived common trait and disease genes. We implemented here several extensions of the MolTi software that detects communities by optimizing multiplex (and monoplex) network modularity. In particular, MolTi now runs a randomized version of the Louvain algorithm, can consider edge and layer weights, a
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Baharsyah, Baharudin Adi, Endang Dian Setioningsih, Sari Luthfiyah, and Wahyu Caesarendra. "Analyzing the Relationship between Dialysate Flow Rate Stability and Hemodialysis Machine Efficiency." Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics 5, no. 2 (2023): 86–91. http://dx.doi.org/10.35882/ijeeemi.v5i2.276.

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Chronic kidney disease (CKD) is a condition characterized by impaired kidney function, leading to disruptions in metabolism, fluid balance, and electrolyte regulation. Hemodialysis serves as a supportive therapy for individuals with CKD, prolonging life but unable to fully restore kidney function. Factors influencing urea and creatinine levels in hemodialysis patients include blood flow velocity, dialysis duration, and dialyzer selection. This research aims to establish a standard for calculating the dialysate flow rate, thereby enhancing dialysis efficiency. The study employs a pre-experiment
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Tesis sobre el tema "Moduli randomization"

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Courtois, Jérôme. "Leak study of cryptosystem implementations in randomized RNS arithmetic." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS290.

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On parlera d'analyse forte pour une analyse qui permet de retrouver la clef d'un système cryptographique et d'une analyse faible dans le cas où on élimine des clefs candidates. Le but de cette thèse est essentiellement la compréhension du comportement de l'aléa des distances de Hamming produites par un système cryptographique de type ECC (Elliptic Curve for Cryptography) quand on utilise une représentation RNS (Residue Number System) avec la méthode des moduli aléatoires. Le Chapitre 2 introduit les différentes notions nécessaires à la compréhension de ce document. Il introduit brièvement l'al
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Nadeem, Muhammad Hassan. "Linux Kernel Module Continuous Address Space Re-Randomization." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/104685.

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Address space layout randomization (ASLR) is a technique employed to prevent exploitation of memory corruption vulnerabilities in user-space programs. While this technique is widely studied, its kernel space counterpart known as kernel address space layout randomization (KASLR) has received less attention in the research community. KASLR, as it is implemented today is limited in entropy of randomization. Specifically, the kernel image and its modules can only be randomized within a narrow 1GB range. Moreover, KASLR does not protect against memory disclosure vulnerabilities, the presence of whi
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Morris, David Dry. "Randomization analysis of experimental designs under non standard conditions." Diss., Virginia Polytechnic Institute and State University, 1987. http://hdl.handle.net/10919/53649.

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Often the basic assumptions of the ANOVA for an experimental design are not met or the statistical model is incorrectly specified. Randomization of treatments to experimental units is expected to protect against such shortcomings. This paper uses randomization theory to examine the impact on the expectations of mean squares, treatment means, and treatment differences for two model mis·specifications: Systematic response shifts and correlated experimental units. Systematic response shifts are presented in the context of the randomized complete block design (RCBD). In particular fixed shifts a
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MARTELOTTE, MARCELA COHEN. "USING LINEAR MIXED MODELS ON DATA FROM EXPERIMENTS WITH RESTRICTION IN RANDOMIZATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2010. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=16422@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>Esta dissertação trata da aplicação de modelos lineares mistos em dados provenientes de experimentos com restrição na aleatorização. O experimento utilizado neste trabalho teve como finalidade verificar quais eram os fatores de controle do processo de laminação a frio que mais afetavam a espessura do material utilizado na fabricação das latas para bebidas carbonatadas. A partir do experimento, foram obtidos dados para modelar a média e a variância da espessura do material. O objetivo da modelagem era identificar quais fatores faziam com que
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Hossain, Mohammad Zakir. "A small-sample randomization-based approach to semi-parametric estimation and misspecification in generalized linear mixed models." Thesis, Queen Mary, University of London, 2017. http://qmro.qmul.ac.uk/xmlui/handle/123456789/24641.

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In a generalized linear mixed model (GLMM), the random effects are typically uncorrelated and assumed to follow a normal distribution. However, findings from recent studies on how the misspecification of the random effects distribution affects the estimated model parameters are inconclusive. In the thesis, we extend the randomization approach for deriving linear models to the GLMM framework. Based on this approach, we develop an algorithm for estimating the model parameters of the randomization-based GLMM (RBGLMM) for the completely randomized design (CRD) which does not require normally distr
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Di, Pace Brian S. "Site- and Location-Adjusted Approaches to Adaptive Allocation Clinical Trial Designs." VCU Scholars Compass, 2019. https://scholarscompass.vcu.edu/etd/5706.

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Response-Adaptive (RA) designs are used to adaptively allocate patients in clinical trials. These methods have been generalized to include Covariate-Adjusted Response-Adaptive (CARA) designs, which adjust treatment assignments for a set of covariates while maintaining features of the RA designs. Challenges may arise in multi-center trials if differential treatment responses and/or effects among sites exist. We propose Site-Adjusted Response-Adaptive (SARA) approaches to account for inter-center variability in treatment response and/or effectiveness, including either a fixed site effect or both
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Jamal, Aygul. "A parallel iterative solver for large sparse linear systems enhanced with randomization and GPU accelerator, and its resilience to soft errors." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS269/document.

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Dans cette thèse de doctorat, nous abordons trois défis auxquels sont confrontés les solveurs d'algèbres linéaires dans la perspective des futurs systèmes exascale: accélérer la convergence en utilisant des techniques innovantes au niveau algorithmique, en profitant des accélérateurs GPU (Graphics Processing Units) pour améliorer le calcul sur plusieurs systèmes, en évaluant l'impact des erreurs due à l'augmentation du parallélisme dans les superordinateurs. Nous nous intéressons à l'étude des méthodes permettant d'accélérer la convergence et le temps d'exécution des solveurs itératifs pour le
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Pokhilko, Victoria V. "Statistical Designs for Network A/B Testing." VCU Scholars Compass, 2019. https://scholarscompass.vcu.edu/etd/6101.

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A/B testing refers to the statistical procedure of experimental design and analysis to compare two treatments, A and B, applied to different testing subjects. It is widely used by technology companies such as Facebook, LinkedIn, and Netflix, to compare different algorithms, web-designs, and other online products and services. The subjects participating in these online A/B testing experiments are users who are connected in different scales of social networks. Two connected subjects are similar in terms of their social behaviors, education and financial background, and other demographic aspects.
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Han, Baoguang. "Statistical analysis of clinical trial data using Monte Carlo methods." Thesis, 2014. http://hdl.handle.net/1805/4650.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>In medical research, data analysis often requires complex statistical methods where no closed-form solutions are available. Under such circumstances, Monte Carlo (MC) methods have found many applications. In this dissertation, we proposed several novel statistical models where MC methods are utilized. For the first part, we focused on semicompeting risks data in which a non-terminal event was subject to dependent censoring by a terminal event. Based on an illness-death multistate survival model, we proposed flexible random effects mo
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Libros sobre el tema "Moduli randomization"

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Nelson, Trisalyn. Using conditional spatial randomization to identify insect infestation hot spots. Pacific Forestry Centre, 2007.

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Bianconi, Ginestra. Multilayer Network Models. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.003.0010.

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This chapter presents the existing modelling frameworks for multiplex and multilayer networks. Multiplex network models are divided into growing multiplex network models and null models of multiplex networks. Growing multiplex networks are here shown to explain the main dynamical rules responsible to the emergent properties of multiplex networks, including the scale-free degree distribution, interlayer degree correlations and multilayer communities. Null models of multiplex networks are described in the context of maximum-entropy multiplex network ensembles. Randomization algorithms to test th
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Puranam, Phanish. Methodologies for Microstructures. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199672363.003.0009.

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I review developments in theory and methodology that may allow us to begin creating innovative forms of organizing, rather than rest content with studying them after they have emerged. We now have the conceptual and technical apparatus to prototype organization designs at small scale, cheaply and fast. The process of organization re-design can be seen in terms of multiple stages. It begins with careful observation of phenomena. Qualitative or indeed quantitative induction (i.e. data mining) can play a critical role here. Once we have some understanding or at least conjectures about underlying
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Capítulos de libros sobre el tema "Moduli randomization"

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Ahlswede, Rudolf. "Identification Without Randomization." In Identification and Other Probabilistic Models. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65072-8_4.

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Popkov, Yuri S., Alexey Yu Popkov, Yuri A. Dubnov, and Alexander Yu Mazurov. "Randomized Parametric Models." In Entropy Randomization in Machine Learning. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003306566-4.

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Popkov, Yuri S., Alexey Yu Popkov, Yuri A. Dubnov, and Alexander Yu Mazurov. "Data Sources and Models." In Entropy Randomization in Machine Learning. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003306566-2.

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Popkov, Yuri S., Alexey Yu Popkov, Yuri A. Dubnov, and Alexander Yu Mazurov. "Entropy-Robust Estimation Procedures for Randomized Models and Measurement Noises." In Entropy Randomization in Machine Learning. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003306566-5.

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McArdle, John J., and John R. Nesselroade. "Notes on the inclusion of randomization in longitudinal studies." In Longitudinal data analysis using structural equation models. American Psychological Association, 2014. http://dx.doi.org/10.1037/14440-030.

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Dvir, Zeev, and Guangda Hu. "Matching-Vector Families and LDCs over Large Modulo." In Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40328-6_36.

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Friedrich, Tobias, and Lionel Levine. "Fast Simulation of Large-Scale Growth Models." In Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22935-0_47.

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Lindemann, Christoph. "Employing The Randomization Technique for Solving Stochastic Petri Net Models." In Informatik-Fachberichte. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76934-4_21.

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Mathews, Ky L., and José Crossa. "Experimental Design for Plant Improvement." In Wheat Improvement. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90673-3_13.

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AbstractSound experimental design underpins successful plant improvement research. Robust experimental designs respect fundamental principles including replication, randomization and blocking, and avoid bias and pseudo-replication. Classical experimental designs seek to mitigate the effects of spatial variability with resolvable block plot structures. Recent developments in experimental design theory and software enable optimal model-based designs tailored to the experimental purpose. Optimal model-based designs anticipate the analytical model and incorporate information previously used only in the analysis. New technologies, such as genomics, rapid cycle breeding and high-throughput phenotyping, require flexible designs solutions which optimize resources whilst upholding fundamental design principles. This chapter describes experimental design principles in the context of classical designs and introduces the burgeoning field of model-based design in the context of plant improvement science.
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von Eckardstein, Arnold. "High Density Lipoproteins: Is There a Comeback as a Therapeutic Target?" In Prevention and Treatment of Atherosclerosis. Springer International Publishing, 2021. http://dx.doi.org/10.1007/164_2021_536.

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AbstractLow plasma levels of High Density Lipoprotein (HDL) cholesterol (HDL-C) are associated with increased risks of atherosclerotic cardiovascular disease (ASCVD). In cell culture and animal models, HDL particles exert multiple potentially anti-atherogenic effects. However, drugs increasing HDL-C have failed to prevent cardiovascular endpoints. Mendelian Randomization studies neither found any genetic causality for the associations of HDL-C levels with differences in cardiovascular risk. Therefore, the causal role and, hence, utility as a therapeutic target of HDL has been questioned. However, the biomarker “HDL-C” as well as the interpretation of previous data has several important limitations: First, the inverse relationship of HDL-C with risk of ASCVD is neither linear nor continuous. Hence, neither the-higher-the-better strategies of previous drug developments nor previous linear cause-effect relationships assuming Mendelian randomization approaches appear appropriate. Second, most of the drugs previously tested do not target HDL metabolism specifically so that the futile trials question the clinical utility of the investigated drugs rather than the causal role of HDL in ASCVD. Third, the cholesterol of HDL measured as HDL-C neither exerts nor reports any HDL function. Comprehensive knowledge of structure-function-disease relationships of HDL particles and associated molecules will be a pre-requisite, to test them for their physiological and pathogenic relevance and exploit them for the diagnostic and therapeutic management of individuals at HDL-associated risk of ASCVD but also other diseases, for example diabetes, chronic kidney disease, infections, autoimmune and neurodegenerative diseases.
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Actas de conferencias sobre el tema "Moduli randomization"

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Tobin, Josh, Lukas Biewald, Rocky Duan, et al. "Domain Randomization and Generative Models for Robotic Grasping." In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2018. http://dx.doi.org/10.1109/iros.2018.8593933.

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Shamsuddin, Abdul Fathaah, Abhijith P, Krupasankari Ragunathan, Deepak Raja Sekar P. M, and Praveen Sankaran. "Domain Randomization on Deep Learning Models for Image Dehazing." In 2021 National Conference on Communications (NCC). IEEE, 2021. http://dx.doi.org/10.1109/ncc52529.2021.9530031.

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Deiab, Ibrahim M., and Mohamed A. Elbestawi. "Tribological Aspects of Workpiece/Fixture Contact in Machining Processes." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-39092.

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This work presents an experimental investigation of the effect of different factors including normal load, workpiece surface roughness, and fixture roughness, on the coefficient of friction along the workpiece/fixture contact for machining processes. A full factorial design of experiment was used. Randomization, blocking, and averaging schemes were utilized to reduce the experimental error and variability. The data was statistically analyzed and explanations for the observed trends were given. This investigation is part of an ongoing research project to develop an integrated modular dynamic mo
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Feklisov, Egor, Mihail Zinderenko, and Vladimir Frolov. "Procedural interior generation for artificial intelligence training and computer graphics." In International Conference "Computing for Physics and Technology - CPT2020". Bryansk State Technical University, 2020. http://dx.doi.org/10.30987/conferencearticle_5fce2771c14fa7.77481925.

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Since the creation of computers, there has been a lingering problem of data storing and creation for various tasks. In terms of computer graphics and video games, there has been a constant need in assets. Although nowadays the issue of space is not one of the developers' prime concerns, the need in being able to automate asset creation is still relevant. The graphical fidelity, that the modern audiences and applications demand requires a lot of work on the artists' and designers' front, which costs a lot. The automatic generation of 3D scenes is of critical importance in the tasks of Artificia
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Sanzharov, Vadim, Vladimir Frolov, and Alexey Voloboy. "Variable photorealistic image synthesis for training dataset generation." In International Conference "Computing for Physics and Technology - CPT2020". Bryansk State Technical University, 2020. http://dx.doi.org/10.30987/conferencearticle_5fce27723872e5.04814843.

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Photorealistic rendering systems have recently found new applications in artificial intelligence, specifically in computer vision for the purpose of generation of image and video sequence datasets. The problem associated with this application is producing large number of photorealistic images with high variability of 3d models and their appearance. In this work, we propose an approach based on combining existing procedural texture generation techniques and domain randomization to generate large number of highly variative digital assets during the rendering process. This eliminates the need for
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SINGH, NAND KISHORE, KAZI ZAHIR UDDIN, RATNESHWAR JHA, and BEHRAD KOOHBOR. "ANALYZING MICRO-MACRO TRANSITIONAL LENGTH SCALE IN UNIDIRECTIONAL COMPOSITES." In Thirty-sixth Technical Conference. Destech Publications, Inc., 2021. http://dx.doi.org/10.12783/asc36/35927.

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Understanding the hierarchy in the mechanical behavior of heterogeneous materials requires a systematic characterization of the material response at different length scales, as well as the nature and characteristics of the transitional scales. Characterization of such transitional length scales has been carried out in the past by analytical models that calculate and compare stiffness values at micro and macro scales. The convergence of the material stiffness at the two scales has been used as the criterion for quantification of the so-called transitional length scales. These stiffness calculat
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Zhang, Wentai, Quan Chen, Can Koz, et al. "Data Augmentation of Engineering Drawings for Data-Driven Component Segmentation." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-91043.

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Abstract We present a new data generation method to facilitate an automatic machine interpretation of 2D engineering part drawings. While such drawings are a common medium for clients to encode design and manufacturing requirements, a lack of computer support to automatically interpret these drawings necessitates part manufacturers to resort to laborious manual approaches for interpretation which, in turn, severely limits processing capacity. Although recent advances in trainable computer vision methods may enable automatic machine interpretation, it remains challenging to apply such methods t
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Tsai, Cheng-Han (Lance), and Jen-Yuan (James) Chang. "A New Approach to Enhance Artificial Intelligence for Robot Picking System Using Auto Picking Point Annotation." In ASME 2021 30th Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/isps2021-65218.

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Abstract Artificial Intelligence (AI) has been widely used in different domains such as self-driving, automated optical inspection, and detection of object locations for the robotic pick and place operations. Although the current results of using AI in the mentioned fields are good, the biggest bottleneck for AI is the need for a vast amount of data and labeling of the corresponding answers for a sufficient training. Evidentially, these efforts still require significant manpower. If the quality of the labelling is unstable, the trained AI model becomes unstable and as consequence, so do the re
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Murthy, Raghavendra, Marc P. Mignolet, and Aly El-Shafei. "Nonparametric Stochastic Modeling of Uncertainty in Rotordynamics." In ASME Turbo Expo 2009: Power for Land, Sea, and Air. ASMEDC, 2009. http://dx.doi.org/10.1115/gt2009-59700.

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A systematic and rational approach is presented for the consideration of uncertainty in rotordynamics systems, i.e. in rotor mass and gyroscopic matrices, stiffness matrix, and bearing coefficients. The approach is based on the nonparametric stochastic modeling technique which permits the consideration of both data and modeling uncertainty. The former is induced by a lack of exact knowledge of properties such as density, Young’s modulus, etc. The latter occurs in the generation of the computational model from the physical structure as some of its features are invariably ignored, e.g. small ani
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Pecci, Filippo, Ivan Stoianov, and Avi Ostfeld. "Optimal Design-for-Control of Water Distribution Networks via Convex Relaxation." In 2nd WDSA/CCWI Joint Conference. Editorial Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/wdsa-ccwi2022.2022.14267.

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This paper considers joint design-for-control problems in water distribution networks (WDNs), where locations and operational settings of control actuators are simultaneously optimized. We study two classes of optimal design-for-control problems, with the objectives of controlling pressure and managing drinking-water quality. First, we formulate the problem of optimal placement and operation of valves in water networks with the objective of minimizing average zone pressure, while satisfying minimum service requirements. The resulting mixed-integer non-linear optimization problem includes binar
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Informes sobre el tema "Moduli randomization"

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Hauer, Klaus, Ilona Dutzi, Christian Werner, Jürgen M. Bauer, and Phoebe Ullrich. Implementation of intervention programs specifically tailored for patients with CI in early rehabilitation during acute hospitalization: a scoping review protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.10.0067.

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Review question / Objective: What is the current status of implementation of interventional programs on early functional rehabilitation during acute, hospital-based medical care, specifically tailored for older patients with CI and what are the most appropriate programs or program components to support early rehab in this specific population? This study combines a systematic umbrella review with a scoping review. While an umbrella review synthesizes knowledge by summarizing existing review papers, a scoping review aims to provide an overview of an emerging area, extracting concepts and identif
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Reimer, David, Astrid Olsen, Bent Sortkær, and Rie Thomsen. Reducing inequality in access to Higher Education in Denmark: Technical report for Nextstep 1.0 intervention and data collection. Aarhus University, 2024. http://dx.doi.org/10.7146/aul.511.

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The aim of the project Reducing Inequality in Access to Higher Education1 was to raise the university application rate for upper secondary students whose parents did not them-selves have a university degree. The project implemented an information intervention, and his technical report outlines the procedures involved in designing that the interven-tion called NextStep 1.0. It includes the selection and recruitment of schools, as well as the development of a survey for both students and counsellors and the creation of role model videos which was implemented in the intervention. The project Redu
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