Academic literature on the topic 'Mathematical modeling. eng'

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Journal articles on the topic "Mathematical modeling. eng"

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Pajic-Lijakovic, Ivana, Branko Bugarski, and Milenko Plavsic. "Mathematical Modeling of Hemoglobin Release under Hypotonic Conditions." Engineering 04, no. 10 (2012): 176–79. http://dx.doi.org/10.4236/eng.2012.410b046.

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Ascione, Brunella, Rino Apicella, and Vittorio Romano. "Mathematical Modeling of Sucrose Hydrolysis with Product and Substrate Inhibition." Engineering 12, no. 04 (2020): 280–89. http://dx.doi.org/10.4236/eng.2020.124023.

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Ismonovich, Karimov Abdusamat, and Ismanov Muhammadziyo. "Mathematical Modeling of Heat Flux Distribution in Raw Cotton Stored in Bunt." Engineering 12, no. 08 (2020): 591–99. http://dx.doi.org/10.4236/eng.2020.128041.

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Gutti, Babagana, Alfred A. Susu, and Olufemi A. Fasanmade. "Mathematical Modeling and Software Application of Blood Flow for Therapeutic Management of Stroke." Engineering 04, no. 04 (2012): 228–33. http://dx.doi.org/10.4236/eng.2012.44030.

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RADHWAN, A., M. ELSAYED, and H. GARI. "Mathematical Modeling of Solar Operated Liquid Desiccant, Evaporative Air Conditioning System." Journal of King Abdulaziz University-Engineering Sciences 11, no. 1 (1999): 119–41. http://dx.doi.org/10.4197/eng.11-1.9.

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Chung, Gui Yung, Dong Geun Hwang, and Sung Soo Hong. "Mathematical Modeling of the Actual Infiltration Process for the Preparation of C/C Composites." Engineering 04, no. 12 (2012): 921–27. http://dx.doi.org/10.4236/eng.2012.412a117.

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Ergashev, Jamoliddin, Khamid Akhmedhodjaev, Abdusamat Karimov, Juramirza Kayumov, and Rashida Ergasheva. "The Study of the Movement of Cotton Particles and Mathematical Modeling of the Impact of It at the Ginning Point." Engineering 11, no. 11 (2019): 768–76. http://dx.doi.org/10.4236/eng.2019.1111051.

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Du, Yan, Yong Fang Bao, and Yuan Wang. "Research of Epsilon-Negative Material and its Electromagnetic Shielding Effect." Advanced Materials Research 893 (February 2014): 781–89. http://dx.doi.org/10.4028/www.scientific.net/amr.893.781.

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This article discusses the physical theory and mathematical modeling of epsilon-negative (ENG) material. Numerical simulation results are also given in later part of this article, and they prove that this kind of material has a great shielding effect. We mainly focus on the modeling and simulation of one dimensional epsilon-negative (ENG) material. First we set up a Drude model to theoretically simulate ENG material, and then use the finite difference time-domain methods to analyze the electromagnetic wave propagation in our shielding material.
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Stopka, Ondrej. "Modeling the Delivery Routes Carried out by Automated Guided Vehicles when Using the Specific Mathematical Optimization Method." Open Engineering 10, no. 1 (2020): 166–74. http://dx.doi.org/10.1515/eng-2020-0027.

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AbstractDistribution tasks or transportation problems when using Operations Research methods are mostly addressed by vehicle routing problem methods dealing with an issue of supplying to several nodes, wherein the route begins in a point of origin and, after accomplishing deliveries to individual nodes, vehicle returns to an initial point. Each node can be operated only once, the order of nodes is not determined; however, the major objective is to find the shortest route possible. The aim of this research study is to formulate options to model delivery routes executed by automated guided vehic
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Jachowicz, Tomasz, Ivan Gajdos, and Volodymyr Krasinskiy. "Numerical Modeling of p-v-T Rheological Equation Coefficients for Polypropylene with Variable Chalk Content." Open Engineering 9, no. 1 (2019): 668–73. http://dx.doi.org/10.1515/eng-2019-0076.

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AbstractThe paper reports the experimental results of a study investigating the effect of different contents of a mineral filler on the rheological properties, p-v-T, of polypropylene. Using the pvT100 apparatus, we measured specific volume under isobaric cooling at different pressures for pure polypropylene and chalk-filled polypropylene (10 wt%, 20 wt% and 30 wt%). Next, we employed computer methods to determine the coefficients of a mathematical model describing the variations in specific volume in a function of temperature and pressure. The model was used in the numerical simulations of in
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Dissertations / Theses on the topic "Mathematical modeling. eng"

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Campos, Celso Ribeiro. "A educação estatística : uma investigação acerca dos aspectos relevantes à didática da estatística em cursos de graduação /." Rio Claro : [s.n.], 2007. http://hdl.handle.net/11449/102161.

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Orientador: Maria Lúcia Lorenzetti Wodewotzki<br>Banca: Sandra Maria Pinto Magina<br>Banca: Cileda de Queiroz e Silva Coutinho<br>Banca: Antonio Carlos Simões Pião<br>Banca: Otávio Roberto Jacobini<br>Resumo: Os objetivos desse trabalho são o estudo teórico sobre os fundamentos da didática da Educação Estatística e sua integração com a Educação Crítica e com a Modelagem Matemática e aplicação dessa integração no microcosmo da sala de aula, com o desenvolvimento e a execução de projetos pedagógicos voltados para esse fim. Sobre os fundamentos teóricos da didática da Estatística, observamos que
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Herminio, Maria Helena Garcia Barbosa. "O processo de escolha dos temas dos projetos de modelagem matemática /." Rio Claro : [s.n.], 2009. http://hdl.handle.net/11449/91074.

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Orientador: Marcelo de Carvalho Borba<br>Banca: Otávio Roberto Jacobini<br>Banca: Arlete de Jesus Brito<br>Resumo: Esta pesquisa buscou compreender quais são as dimensões envolvidas no processo de escolha dos temas dos projetos de Modelagem Matemática, quando os alunos são os responsáveis por essa tomada de decisão. O estudo foi desenvolvido com alunos do primeiro ano do curso de Ciências Biológicas da Unesp, campus de Rio Claro, na disciplina Matemática Aplicada, onde uma das vertentes da disciplina era a Modelagem Matemática. Fizemos uso da metodologia de pesquisa qualitativa utilizando proc
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Diniz, Leandro do Nascimento. "O papel das tecnologias da informação e comunicação nos projetos de modelagem matemática /." Rio Claro : [s.n.], 2007. http://hdl.handle.net/11449/91079.

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Orientador: Marcelo de Carvalho Borba<br>Banca: Jonei Cerqueira Barbosa<br>Banca: Otávio Roberto Jacobini<br>Resumo: Nesta pesquisa, investiguei como os alunos utilizam as Tecnologias da Informação e Comunicação (TIC) nos Projetos de Modelagem Matemática. A pesquisa foi desenvolvida com alunos do primeiro ano do curso de Ciências Biológicas da Unesp, campus de Rio Claro, na disciplina Matemática Aplicada. O professor convidou os alunos para que, reunidos em grupos, investigassem um tema qualquer do cotidiano, escolhido por eles. Os dados foram coletados por meio da observação de aulas da disci
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Sanches, Rosângela Peregrina. "Epidemiologia de doenças infecciosas : cólera e doença do caranguejo letárgico /." Botucatu : [s.n.], 2010. http://hdl.handle.net/11449/87915.

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Orientador: Cláudia Pio Ferreira<br>Banca: Eduardo Massad<br>Banca: Helenice de Oliveira Florentino Silva<br>Resumo: Os modelos epidemiológicos tem por objetivo reproduzir a dinâmica espacial e/ou temporal de doenças infecciosas, e propor possíveis estratégias de controle. Estes modelos auxiliam a compreensão do comportamento das doenças em relação à vários aspectos, como mecanismos de transmissão, sazonalidade (dependência dos parâmetros do modelo em relação a temperatura, umidade, etc.) e disseminação da doença (Yang, 2001). Para isso são levantadas hipóteses matemáticas, baseadas em conheci
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Sartori, Junior Sergio. "Modelagem matemática e análise dinâmica da torre de um pulverizador de pomares /." Bauru : [s.n.], 2008. http://hdl.handle.net/11449/97035.

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Orientador: José Manoel Balthazar<br>Banca: Bento Rodrigues de Ponte Junior<br>Banca: Hans Ingo Weber<br>Resumo: Na área agrícola, um tipo de equipamento utilizado para a pulverização de pomares, consiste essencialmente de uma estrutura vertical com ventiladores dotados de bicos de pulverização, montados sobre um veículo que trafega entre as plantas. Em uma construção mais simples esta estrutura vertical é montada na parte traseira de um trator agrícola. Em uma construção mais complexa, esta estrutura vertical é montada sobre uma carreta ou trailer, que pode ter ou não suspensão. Em algumas si
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Guelfi, Rangel. "Análise da relação entre o faturamento do consumo de energia elétrica e demanda de potência ativa e reativa utilizando hiperbolóides de carga e potência /." Ilha Solteira : [s.n.], 2007. http://hdl.handle.net/11449/87214.

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Resumo: No presente trabalho é apresentado um método para o cálculo de volumes determinados por K-Hiperbolóides de Carga e Potência, de modo a reduzir os gastos de empresas consideradas, em relação ao fator de potência. A redução de gastos é obtida alterando-se o valor máximo do fator potência que se pretende chegar, do fator de potência ideal "1", para o fator de potência de referência "0,92", ou mantendo-o quando já estiver acima de 0,92. Quando o fator de potência é maior ou igual a 0,92 ele já está eficiente, assim, não há necessidade de se chegar ao fator de potência ideal. É realizada um
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Sampaio, Luana Oliveira. "Educação estatística crítica : uma possibilidade? /." Rio Claro : [s.n.], 2010. http://hdl.handle.net/11449/91123.

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Orientador: Maria Lucia Lorenzetti Wodewotzki<br>Banca: Ole Skovsmose<br>Banca: Denise Helena Lombardo Ferreira<br>Resumo: Este trabalho discorre sobre uma experiência com alunos de uma disciplina de Estatística para Administração. Com os quais realizamos, extraclasse, trabalhos via Modelagem Matemática a distância: um ambiente virtual de aprendizagem, onde os alunos foram convidados a investigar a realidade por meio da Estatística. Deste ambiente emergiu o termo ciberespaço de interação: todo encontro online com o objetivo de discutir e encaminhar atividades de Modelagem. Nesta pesquisa, o ob
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Jacobini, Otávio Roberto. "A Modelagem matemática como instrumento de ação política na sala de aula /." Rio Claro : [s.n.], 2004. http://hdl.handle.net/11449/102078.

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Orientador: Maria Lúcia Lorenzetti Wodewotzki<br>Banca: Marcelo de Carvalho Borba<br>Banca: Marcus Vinicius Maltempi<br>Banca: Ole Skovsmose<br>Banca: Alexandrina Monteiro<br>Resumo: Com esta pesquisa busquei analisar as possibilidades de crescimento político dos estudantes, quando a modelagem matemática é adotada como estratégia de ensino-aprendizagem. Considero essas possibilidades como reflexões que se identificam com questionamentos, críticas, ações e transformações. Ao inserir este estudo no contexto da Educação Matemática Crítica baseei minha pesquisa bibliográfica em autores que se iden
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Muthukumaran, Arun. "Foam-mat freeze drying of egg white and mathematical modeling." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=18301.

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Eggs are a rich source of high-quality proteins as they contain all amino acids necessary for the human body. They also contain all vitamins (except for vitamin C) and many essential minerals. Eggs mainly consist of egg white (albumen) and egg yolk. Egg white is mainly made up of proteins and has excellent foaming properties; it is widely used in the baking and confectionary industries (e.g., cake mixtures, meringue). Dehydration is widely used for the preservation of egg. Dehydrated egg products usually have a shelf life of one year under refrigeration. Spray drying and pan drying are widely
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Pritchard, Adaleigh Elizabeth. "Modeling End-to-End Annealing of Intermediate Filaments." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397743583.

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Books on the topic "Mathematical modeling. eng"

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Østerbø, Olav. Mathematical modelling and analysis of communication networks: Transient characteristics of traffic processes and models for end-to-end delay and delay-jitter. NTNU, 2003.

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Improving the capacity of U.S. climate modeling for decision-makers and end-users: Hearing before the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Tenth Congress, second session, May 8, 2008. U.S. G.P.O., 2012.

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Basic Electrocardiology Cardiac Electrophysiology Ecg Systems And Mathematical Modeling. Springer, 2011.

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Busemeyer, Jerome R., Zheng Wang, James T. Townsend, and Ami Eidels, eds. The Oxford Handbook of Computational and Mathematical Psychology. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.001.0001.

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A comprehensive and authoritative review on most important developments in computational and mathematical psychology that have impacted many other fields in past decades. Written in tutorial style by leading scientists in each topic area, with an emphasis on examples and applications. Each chapter is self-contained and aims to engage readers with various levels of modeling experience. The Handbook covers the key developments in elementary cognitive mechanisms (e.g., signal detection, information processing, reinforcement learning), basic cognitive skills (e.g., perceptual judgment, categorizat
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Morris, Alan R. Musculoskeletal modelling and EMG driven simulation of the human lower body. 2006.

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Ferrari, Matthew. Using disease dynamics and modeling to inform control strategies in low-income countries. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789833.003.0008.

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The incidence infectious disease is inherently dynamic in time and space. Mathematical models that account for the dynamic processes that give rise to fluctuations in disease incidence are powerful tools in disease management and control. We describe the use of dynamic models for surveillance, evaluation and prediction of disease control efforts in low-income countries. Dynamic models can help to anticipate trends owing to intrinsic (e.g., herd immunity) or extrinsic (e.g., seasonality) forces that may confound efforts to isolate the impact of specific interventions. Infectious disease dynamic
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Algom, Daniel, Ami Eidels, Robert X. D. Hawkins, Brett Jefferson, and James T. Townsend. Features of Response Times. Edited by Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.4.

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Psychology is one of the most recent sciences to issue from the mother-tree of philosophy. One of the greatest challenges is that of formulating theories and methodologies that move the field toward theoretical structures that are not only sufficient to explain and predict phenomena but, in some vital sense, necessary for those purposes. Mathematical modeling is perhaps the most promising general strategy, but even under that aegis, the physical sciences have labored toward that end. The present chapter begins by outlining the roots of our approach in 19th century physics, physiology, and psyc
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Modeling of thermal lensing in side and end-pumped finite solid-state laser rods. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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C, Chamis C., and Lewis Research Center, eds. Interlaminar fracture toughness: Three-dimensional finite-element modeling for end-notch and mixed-mode flexure. National Aeronautics and Space Administration, Lewis Research Center, 1985.

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Barlow, John S. The Cerebellum and Adaptive Control. Cambridge University Press, 2002.

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Book chapters on the topic "Mathematical modeling. eng"

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Wess, Raphael, Heiner Klock, Hans-Stefan Siller, and Gilbert Greefrath. "Professional Competence for Teaching Mathematical Modelling." In International Perspectives on the Teaching and Learning of Mathematical Modelling. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78071-5_2.

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AbstractProfessional competence is a widely discussed topic (see, e.g. Cochran-Smith &amp; Fries, 2001; Darling-Hammond &amp; Bransford, 2005) and was measured globally in various large-scale studies (see, e.g. Blömeke et al., 2014; Kunter et al., 2013). The dimensions for the subject of mathematics range from knowledge to mathematical content to pedagogical and didactic knowledge of teachers with the aim of bringing them together.
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Javed, Shazia, and Noor Atinah Ahmad. "Mathematical Modeling of Real Time ECG Waveform." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01174-1_46.

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Sorrentino, Alberto, and Michele Piana. "Inverse Modeling for MEG/EEG Data." In Mathematical and Theoretical Neuroscience. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68297-6_15.

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Hillier, Jon, Mohammed Abdalla, Jessica Bellarby, et al. "Mathematical Modeling of Greenhouse Gas Emissions from Agriculture for Different End Users." In Synthesis and Modeling of Greenhouse Gas Emissions and Carbon Storage in Agricultural and Forest Systems to Guide Mitigation and Adaptation. American Society of Agronomy and Soil Science Society of America, 2015. http://dx.doi.org/10.2134/advagricsystmodel6.2013.0038.

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Yarkina, Natalia, Natalia Popovskaya, Viktoriya Khalina, Anna Gaidamaka, and Konstantin Samouylov. "Modeling End-to-End Business Processes of a Telecom Company with a BCMP Queueing Network." In Information Technologies and Mathematical Modelling. Queueing Theory and Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68069-9_23.

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Vinay, A., Ankur Singh, Nikhil Anand, et al. "Facial Image Classification Using Rotation, Illumination, Scale and Expression Invariant Dense Features and ENN." In Mathematical Modelling and Scientific Computing with Applications. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1338-1_30.

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Broy, Manfred, Wolfgang Böhm, and Bernhard Rumpe. "Advanced Systems Engineering." In Model-Based Engineering of Collaborative Embedded Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62136-0_19.

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AbstractAdvanced systems engineering (ASE) is a new paradigm for agile, efficient, evolutionary, and quality-aware development of complex cyber-physical systems using modern digital technologies and tools. ASE is essentially enabled by smart digital modeling tools for specifying, modeling, testing, simulating, and analyzing the system under development embedded in a coherent and consistent methodology.The German Federal Ministry of Education and Research (BMBF) projects SPES2020, SPES_XT, and CrESt offer such a methodology and framework for model-based systems engineering (MBSE). The framework provides a comprehensive methodology for MBSE that is independent of tools and modeling languages. The framework also offers a comprehensive set of concrete modeling techniques and activities that build on a formal, mathematical foundation. The SPES framework is based on four principles that are of paramount importance: (1) Functional as well as non-functional requirements fully modeled and understood at system level. (2) Consistent consideration of interfaces at each system level. (3) Decomposition of systems into subsystems and their interfaces. (4) Models for a variety of cross-sectional topics (e.g., variability, safety, dynamics).
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Nishiura, Hiroshi. "Methods to Determine the End of an Infectious Disease Epidemic: A Short Review." In Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40413-4_17.

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Wess, Raphael, Heiner Klock, Hans-Stefan Siller, and Gilbert Greefrath. "Test Quality." In International Perspectives on the Teaching and Learning of Mathematical Modelling. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78071-5_4.

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AbstractGeneral standards in the form of quality criteria can be used in order to assess the quality of an instrument and/or to construct a high-quality test. Three main indicators, the so-called “core quality criteria,” have emerged: objectivity, reliability and validity (e.g. Bühner, 2011; Ebel &amp; Frisbie, 1991; Linn, 2011; Miller, Linn &amp; Grolund, 2009; Rost, 2004). These primary and selected secondary quality criteria (fairness and usability) are examined in more detail in the following using a data set of 349 pre-service teachers for secondary education at several German universities.
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Bergem, Ole Kristian, Trude Nilsen, Oleksandra Mittal, and Henrik Galligani Ræder. "Can Teachers’ Instruction Increase Low-SES Students’ Motivation to Learn Mathematics?" In Equity, Equality and Diversity in the Nordic Model of Education. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61648-9_10.

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AbstractStudents’ motivation in mathematics has been shown to predict their achievement and whether they pursue a later career in STEM (science, technology, engineering, and mathematics). To sustain equity in education, it is important that students are motivated for the STEM fields, independent of their background characteristics (e.g., gender and SES). Previous research has revealed that students’ motivation declines from primary to secondary school. The present study investigates whether this unwanted development may be related to students’ SES, and more importantly, what aspects of teachers’ instruction are related to student motivation for low, medium, and high-SES student groups in grade 5 and 9. We use data from students in grades 5 and 9 and their teachers who participated in TIMSS 2015 in Norway. Multilevel (students and classes), multi-group structural equation modelling is used to answer the research questions. In line with previous research from Germany and the USA, the results showed that SES is more important to student motivation in secondary than primary school, that low SES students’ motivation depends more on their teachers’ instructional quality than high SES students and that this dependency is stronger in secondary school than in primary school. The implications and contributions of the study are discussed.
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Conference papers on the topic "Mathematical modeling. eng"

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Alexey, Maystrov I., Alekhin D. Maksim, Bogomolov V. Alexey, and Zaretskiy P. Alexey. "Mathematical Modeling of Rhytmocardiografic Signals Spectrum." In 2015 2nd International Conference on Engineering and Telecommunication (EnT). IEEE, 2015. http://dx.doi.org/10.1109/ent.2015.27.

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Gubaidullin, Irek M., Elizaveta E. Peskova, and Olga A. Stadnichenko. "Mathematical modeling of ethane pyrolysis using ENO schemes." In International Conference Information Technology and Nanotechnology 2016. Samara State Aerospace University, Image Processing Systems Institute, Russian Academy of Sciences, 2016. http://dx.doi.org/10.18287/1613-0073-2016-1638-578-587.

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Chutchavong, Vanvisa. "Mathematical Modeling ECG Waveform Using Abel’s Bernstein Polynomials." In 2019 4th International Conference on Communication and Information Systems (ICCIS). IEEE, 2019. http://dx.doi.org/10.1109/iccis49662.2019.00032.

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Bankov, S., M. Duplenkova, and V. Kaloshin. "Numerical modeling and design of EBG waveguides and componets." In 2010 International Conference on Mathematical Methods in Electromagnetic Theory (MMET). IEEE, 2010. http://dx.doi.org/10.1109/mmet.2010.5611359.

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Bankov, S., V. Kaloshin, L. Pangonis, and E. Frolova. "Numerical modeling and design of EBG devices and antennas." In 2010 International Conference on Mathematical Methods in Electromagnetic Theory (MMET). IEEE, 2010. http://dx.doi.org/10.1109/mmet.2010.5611363.

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Vasilevskiy, M. "MODELLING OF ENVIRONMENT SENSORS BASED ON THE SURFACE PLASMON RESONANCE EFFECT." In Mathematical modeling in materials science of electronic component. LLC MAKS Press, 2020. http://dx.doi.org/10.29003/m1516.mmmsec-2020/50-51.

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Surface plasmons (SPs) are collective excitations of free electrons in a conducting medium bounded by a surface or interface with a dielectric. They can originate surface plasmon-polaritons (SPPs), which are evanescent waves involving electron density oscillations and the associated electromagnetic (EM) field whose amplitude decays exponentially with distance from the surface. SPPs are characterised by a dispersion curve (frequency vs wavevector along the interface) that lies outside of the light cone, so they cannot be excited directly by propagating light; however, it is possible to excite t
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Nurain, Novia, Moin Mostakim, and A. B. M. Alim Al Islam. "Towards empirical study based mathematical modeling for energy consumption and end-to-end delay of MANETs." In 2014 17th International Conference on Computer and Information Technology (ICCIT). IEEE, 2014. http://dx.doi.org/10.1109/iccitechn.2014.7073155.

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Sudirman, R., A. K. Chee, and W. B. Daud. "Modeling of EEG Signal Sound Frequency Characteristic Using Time Frequency Analysis." In 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation. IEEE, 2010. http://dx.doi.org/10.1109/ams.2010.52.

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Ali, Zalila, Farzaana Adam, and Adam Baharum. "Modeling quality of life of end stage renal disease patients in Kelantan using binary logistic regression." In PROCEEDING OF THE 25TH NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES (SKSM25): Mathematical Sciences as the Core of Intellectual Excellence. Author(s), 2018. http://dx.doi.org/10.1063/1.5041561.

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Tlili, Mariam, Asma Maalej, Manel Ben Romdhane, Francois Rivet, Dominique Dallet, and Chiheb Rebai. "Mathematical modeling of clean and noisy ECG signals in a level-crossing sampling context." In 2016 International Symposium on Signal, Image, Video and Communications (ISIVC). IEEE, 2016. http://dx.doi.org/10.1109/isivc.2016.7894015.

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Reports on the topic "Mathematical modeling. eng"

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Perdigão, Rui A. P., and Julia Hall. Spatiotemporal Causality and Predictability Beyond Recurrence Collapse in Complex Coevolutionary Systems. Meteoceanics, 2020. http://dx.doi.org/10.46337/201111.

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Abstract:
Causality and Predictability of Complex Systems pose fundamental challenges even under well-defined structural stochastic-dynamic conditions where the laws of motion and system symmetries are known. However, the edifice of complexity can be profoundly transformed by structural-functional coevolution and non-recurrent elusive mechanisms changing the very same invariants of motion that had been taken for granted. This leads to recurrence collapse and memory loss, precluding the ability of traditional stochastic-dynamic and information-theoretic metrics to provide reliable information about the n
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