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Articoli di riviste sul tema "Mathematical model"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Kumar, Jitender, and V. K. Kukreja. "Mathematical Model of Pulp Washing Using Mathematica." MATEC Web of Conferences 57 (2016): 05008. http://dx.doi.org/10.1051/matecconf/20165705008.

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2

Połowniak, Piotr, and Mariusz Sobolak. "Mathematical model of globoid worm for use of generating CAD model." Mechanik, no. 2 (February 2015): 145/31. http://dx.doi.org/10.17814/mechanik.2015.2.53.

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3

Stehney, Ann K., Sarah Flannery, and David Flannery. "Mathematical Model." Women's Review of Books 19, no. 1 (2001): 7. http://dx.doi.org/10.2307/4023851.

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4

Rifki Taufik, Muhammad, Dwi Lestari, and Tri Wijayanti Septiarini. "Mathematical Model for Vaccinated Tuberculosis Disease with VEIT Model." International Journal of Modeling and Optimization 5, no. 3 (2015): 192–97. http://dx.doi.org/10.7763/ijmo.2015.v5.460.

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5

ROTARU, Constantin, Oliver CIUICĂ, Eduard MIHAI, Ionică CÎRCIU, and Radu DINCĂ. "SIMPLIFIED MATHEMATICAL MODEL FOR AIRCRAFTSRESPONSE CHARACTERISTICS." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 18, no. 1 (2016): 55–60. http://dx.doi.org/10.19062/2247-3173.2016.18.1.7.

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6

Wan, Delong, and Huiping Zeng. "Water environment mathematical model mathematical algorithm." IOP Conference Series: Earth and Environmental Science 170 (July 2018): 032133. http://dx.doi.org/10.1088/1755-1315/170/3/032133.

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7

Bаzhanova, А. Yu, M. G. Suryaninov, and G. B. Shotadze. "Finite elements mathematical model of geometric nonlinearity." Odes’kyi Politechnichnyi Universytet. Pratsi, no. 2 (June 15, 2015): 138–44. http://dx.doi.org/10.15276/opu.2.46.2015.25.

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8

Rani, Shruti. "Mathematical Model on Reliability with Three Units." International Journal of Science and Research (IJSR) 10, no. 9 (2021): 1107–11. https://doi.org/10.21275/sr21916213532.

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9

TRIVEDI, PRATIK H. "An Appropriate Mathematical Model for A Product." Global Journal For Research Analysis 3, no. 5 (2012): 11–12. http://dx.doi.org/10.15373/22778160/may2014/5.

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10

Ambhore, Shubham A., and Navneet K. Lamba. "Lumpy Skin Disease: A Mathematical Model Application." Indian Journal Of Science And Technology 18, no. 9 (2025): 755–62. https://doi.org/10.17485/ijst/v18i9.2894.

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Abstract (sommario):

Objectives: The purpose of the study is to decrease the value of reproduction number under the value of 1 for the purpose of eradicating Lumpy Skin Disease (LSD). Method: We provide three cases giving the basic reproduction numbers of few of the original systems’ subsystems to calculate 𝑅0 and provide a clearer grasp of its structure. Finding: The value of basic reproduction number for the Susceptible-Infected (S-I) epidemiological model is determined to establish the fundamental reproduction number by comparing it to the basic reproduction numbers of simplified subsystems in existing S-I mode

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11

Bouizem, Nacera, Mohamed Helal, Bedr'Eddine Ainseba, and Abdelkader Lakmeche. "Leukemia mathematical model." ITM Web of Conferences 4 (2015): 01006. http://dx.doi.org/10.1051/itmconf/20150401006.

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12

Norsyela, Muhammad Noor Mathivanan, Ab Ghani Puzziawati, and Azura Md. Ghani Nor. "Tracing Mathematical Function of Age Specific Fertility Rate in Peninsular Malaysia." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 3 (2018): 637–42. https://doi.org/10.11591/ijeecs.v9.i3.pp637-642.

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The size, structure, and composition of a population are affected by the fertility rates at any point of time. Many researchers took the opportunity to exploit the fertility rates in obtaining better fertility patterns for their country. The curve for the age specific fertility rate is consistent, and this feature allows the curve to be matched with a mathematical model. This paper aimed to identify the best mathematical model that fits the recent age specific fertility rate in Peninsular Malaysia. This study fitted the fertility data of Peninsular Malaysia from 1996 to 2014 to the four mathem

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13

Shrivastava, Rajesh, Deepika Basedia, and Keerty Shrivastava. "Predictive Mathematical Model on Breast Cancer: A Study." international journal of mathematics and computer research 12, no. 03 (2024): 4107–13. http://dx.doi.org/10.47191/ijmcr/v12i3.05.

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In the present study, we have designed a mathematical model to analyze whether the cases of breast cancer are maximized or minimized in Madhya Pradesh. Especially to check the age range in which it’s more susceptible to the disease and its means of therapy. The important data collected from Jawaharlal Nehru Cancer Hospital, Bhopal (JLNCH) and Gandhi Medical College, Bhopal (GMC) is from over ten years of reviews of the cases. Actual documentary and analytical methods were used to collect and analyze the data. It is concluded from the results that the number of cancer cases is increasing in bot

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14

WILCZYNSKI, KRZYSZTOF. "A mathematical model of single-screw extrusion. Part X. Experimental verification of the model." Polimery 45, no. 03 (2000): 191–96. http://dx.doi.org/10.14314/polimery.2000.191.

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15

Vasileva, Natalia, Vladimir Grigorev-Golubev, and Irina Evgrafova. "Mathematical programming in Mathcad and Mathematica." E3S Web of Conferences 419 (2023): 02007. http://dx.doi.org/10.1051/e3sconf/202341902007.

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An article generalizes the long-term work of authors with packages of applied mathematical programs. It discusses and demonstrates the features and methods of solution of mathematical tasks in mathematical package Mathcad and Mathematica: from the simplest ones, included in the set of typical problems of mathematical disciplines for training specialists for shipbuilding, to complex computational tasks and applied problems of professional orientation, which require the construction of a mathematical model and analysis of the results obtained. The examples show the solution of mathematical probl

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16

Grigoriev-Golubev, Vladimir, Natalia Vasileva, and Margarita Volodicheva. "Using the Mathematica package in teaching mathematical disciplines." SHS Web of Conferences 141 (2022): 03001. http://dx.doi.org/10.1051/shsconf/202214103001.

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This article analyzes the capabilities of the Wolfram Mathematica computer system, examines the feasibility of using its tools in the study of mathematical disciplines. The authors propose and demonstrate by examples a methodology for building a training course based on the integration of the methods of the discipline being studied and their implementation in the Mathematica environment. The paper explores the practical significance of including the Mathematica toolkit in the training course, which makes it possible to mathematically model various processes in modern society, demonstrate the s

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17

Teresa Reginska. "REGULARIZATION METHODS FOR MATHEMATICAL MODEL OF LASER BEAMS." Eurasian Journal of Mathematical and Computer Applications 1, no. 1 (2013): 39–49. http://dx.doi.org/10.32523/2306-3172-2013-1-2-39-49.

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18

CORCAU, Jenica-Ileana, and Liviu DINCA. "MATHEMATICAL MODEL AND NUMERICAL SIMULATIONS FOR PHOTOVOLTAIC PANELS." Review of the Air Force Academy 15, no. 3 (2017): 47–56. http://dx.doi.org/10.19062/1842-9238.2017.15.3.5.

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19

ul Rahman, Jamshaid, Muhammad Raheel Mohyuddin, S. V. Satyanarayana, Syed Zahoor, and Amira Al-Ghareebi. "Mathematical and Simulink Model for Paint Industry Effluent." DJ Journal of Engineering Chemistry and Fuel 1, no. 2 (2016): 1–8. http://dx.doi.org/10.18831/djchem.org/2016021001.

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20

MARTYNYUK, V. V., G. I. RADELCHUK, and O. V. SHPAK. "IMPROVED IMPEDANCE MATHEMATICAL MODEL OF A SOLAR CELL." Measuring and computing devices in technological processes 63, no. 1 (2019): 5–9. http://dx.doi.org/10.31891/2219-9365-2019-63-1-5-9.

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21

Sivanpheng, Ounla. "A Mathematical Model for Estimating Varied Irrigation Efficiency." International Journal of Science and Research (IJSR) 11, no. 7 (2022): 717–21. http://dx.doi.org/10.21275/sr22709145853.

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22

PEDYASH, Volodymyr. "INVESTIGATION OF THE MATHEMATICAL MODEL OF OPTICAL FIBER." Herald of Khmelnytskyi National University. Technical sciences 317, no. 1 (2023): 167–73. http://dx.doi.org/10.31891/2307-5732-2023-317-1-167-173.

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Fiber optic transmission systems are the main type of systems for building telecommunication networks. The transponders of modern optical transmission systems implement efficient modulation and coding methods, which can significantly increase the receiver sensitivity and increase the length of the regeneration area. The task to define the quality characteristics of optical channels occurs during the design of such systems. To solve this problem, it is necessary to develop a mathematical model of the transmission system and perform a simulation using it. One of the main blocks of the system is

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23

Kruszewski, Robert. "Equilibrium and business cycle. Mathematical model." Studia i Prace WNEiZ 51 (2018): 197–211. http://dx.doi.org/10.18276/sip.2018.51/3-16.

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24

Щетинина, Ирина Владимировна, Екатерина Алексеевна Москалева, Марина Евгеньевна Волкова, and Валерий Константинович Власов. "COVID-INFODEMY MATHEMATICAL MODEL." ИНФОРМАЦИЯ И БЕЗОПАСНОСТЬ, no. 4(-) (December 15, 2021): 521–30. http://dx.doi.org/10.36622/vstu.2021.24.4.004.

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Инфодемия представляет собой стремительное и неконтролируемое распространение в медиа необоснованной и ложной информации о кризисных событиях. Во время пандемии коронавируса возникла новая разновидность сетевой дезинформации, связанная с распространением различных слухов о заболевании, вакцинации и т. п., которая стремительно развиваясь, охватила все страны, став таким образом ковид-инфодемией. Инфодемия наносит большой вред работе систем здравохранения, правительств стран, существенно снижая уровень доверия к ним граждан. В статье представлена математическая модель инфодемии, основанная на да

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25

Brumercik, Frantisek, Michal Lukac, and Aleksander Nieoczym. "Mechanical Differential Mathematical Model." Communications - Scientific letters of the University of Zilina 17, no. 3 (2015): 88–91. http://dx.doi.org/10.26552/com.c.2015.3.88-91.

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26

Khoroshaylo, Yurii, Vladyslav Shlyakhov, Sergii Yefymenko, Svetlana Sotnik, and Aleksandr Kagramanyan. "MATHEMATICAL MODEL OF COLORIMETRY." Bulletin of Kyiv Polytechnic Institute. Series Instrument Making, no. 54(2) (December 25, 2017): 27–32. http://dx.doi.org/10.20535/1970.54(2).2017.119512.

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27

Ivanov, Konstantin. "Mathematical Model of Adaptation." Journal of Modern Mathematics Frontier 5 (2016): 1. http://dx.doi.org/10.14355/jmmf.2016.05.001.

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28

Toumasis, C. "A mathematical diet model." Teaching Mathematics and its Applications 23, no. 4 (2004): 165–71. http://dx.doi.org/10.1093/teamat/23.4.165.

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29

Krakhmalev, O. N. "MATHEMATICAL MODEL MANIPULATOR ROBOTS." International Journal of Advanced Studies 5, no. 4 (2015): 31. http://dx.doi.org/10.12731/2227-930x-2015-4-4.

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30

Polyakov, S., and M. Borodin. "MATHEMATICAL MODEL DISPENSING MATERIALS." Актуальные направления научных исследований XXI века: теория и практика 2, no. 5 (2014): 134–40. http://dx.doi.org/10.12737/6364.

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31

Koenders, M. A., and J. B. Sellmeijer. "Mathematical Model for Piping." Journal of Geotechnical Engineering 118, no. 6 (1992): 943–46. http://dx.doi.org/10.1061/(asce)0733-9410(1992)118:6(943).

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32

Bonsu, Bema K., and Marvin B. Harper. "Explanation of Mathematical Model." Pediatric Infectious Disease Journal 23, no. 9 (2004): 893. http://dx.doi.org/10.1097/01.inf.0000137586.42248.00.

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33

Hao, Wenrui, Elliott D. Crouser, and Avner Friedman. "Mathematical model of sarcoidosis." Proceedings of the National Academy of Sciences 111, no. 45 (2014): 16065–70. http://dx.doi.org/10.1073/pnas.1417789111.

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34

Jafarov, M. A., V. O. Yevdokymenko, D. S. Kamenskyh, K. A. Rustamov, and Z. A. Jafarov. "Mathematical Model Desublimation Conditions." Asian Journal of Chemical Sciences 13, no. 2 (2023): 1–6. http://dx.doi.org/10.9734/ajocs/2023/v13i2234.

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The developed and software-implemented simplified three-dimensional mathematical model of the unsteady-state process of HFS desublimation is described. The study of regularities in the HFS desublimation process is performed by numerical modeling.

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35

Алимов, Х. Т., Ф. Х. Дзамихова, and Р. И. Паровик. "Fractional Mathematical Model McSherry." Вестник КРАУНЦ. Физико-математические науки, no. 1 (April 17, 2023): 164–79. http://dx.doi.org/10.26117/2079-6641-2023-42-1-164-179.

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В статье предложено обобщение математической модели Макшерри для моделирования искусственной электрокардиограммы — изменяющегося во времени сигнала, отражающий ионный ток, который заставляет сердечные волокна сокращаться, а затем расслабляться. Обобщение математической модели Макшерри заключается в учете свойства наследственности (памяти) динамического процесса, которое можно описать с помощью дробных производных в смысле Герасимова-Капуто. Эффект памяти динамической системы определяет возможность зависимости ее состояний от предыстории и может указывает на диссипативный характер, рассматривае

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36

Jus, Milan, and Lenka Bartošová. "Mathematical Model of Friction." Key Engineering Materials 1017 (June 18, 2025): 11–17. https://doi.org/10.4028/p-5cehr1.

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The article deals with the creation of a mathematical model that can be applied in the testing of various materials. These are testing cases where the measurement and subsequent evaluation of the value of the coefficient of friction in various tribological measurements is considered. The mathematical model considers the static and dynamic coefficient of friction. It started with the creation of a simpler mathematical model, which was subsequently modified to a more sophisticated one, considering the real situation, which is closer to the real case. With the mathematical model created in this w

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37

Kézi, Csaba. "Teaching the Analysis of Newton’s Cooling Model to Engineering Students." International Journal of Engineering and Management Sciences 8, no. 2 (2023): 63–68. http://dx.doi.org/10.21791/ijems.2023.2.7.

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To apply mathematical methods to physical or other real life problem, we have to formulate the problem in mathematical terms. It means that, we have to construct the mathematical model for the problem. Many physical problems shows the relationships between changing quantities. The rates of change are represented mathematically by derivatives. In this case the mathematical models involve equations relating an unknown function and one or more of its derivatives. These equations are the differential equations. In this article, teaching the analysis of Newton's cooling model to engineering student

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38

Jabar, H. Yousif, and k. Saini Dinesh. "Fuzzy and Mathematical Effort Estimation Models for Web Applications Development." Applied Computing Journal 1, no. 1 (2021): 10–24. https://doi.org/10.5281/zenodo.4477174.

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This paper proposed an Effort Estimation Model for optimizing the deployment of Web Applications Based Fuzzy and Practical Models. This paper presented the effort estimation model that involves two levels—the first level estimates by Project Managers, and the second level estimates by Project Leaders or Developers. The model considers the classification of each task as either Low or Medium or High complexity. Efforts are estimated to design, code, and test tasks and take a new requirement as a case study, compared with the practical efforts model using historical data for the existing fu

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39

Rajić, Dušan. "Mathematical-physical model of solving inventive problems." FME Transactions 49, no. 3 (2021): 726–33. http://dx.doi.org/10.5937/fme2103726r.

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The spatial-temporal LT-contradiction matrix is an inventology tool that enables exact calculations of certain parameters in an engineering system through mathematical-physical modeling. It objectifies the decision-making process and creates the preconditions to finding an adequate resource (X-element) with a higher probability, and thus to reach a higher degree of ideality solution (HDIS) of an inventive problem as well. Any engineering system that generates an inventive problem can be described using the LT-contradiction matrix. By crossing the appropriate parameters in the LT-contradiction

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40

Klyachin, Alеksеy. "Mathematical Model for Reconstructing a Damaged Bitmap." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 1. Mathematica. Physica, no. 1 (March 2016): 45–56. http://dx.doi.org/10.15688/jvolsu1.2016.1.5.

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41

Neetu, Sharma, Kumar Saurabh, and Mani Naveen. "Analysis on Present Mathematical Model for Predicting the Crop Production." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 9, no. 12 (2020): 168–70. https://doi.org/10.35940/ijitee.L7946.1091220.

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India is a worldwide agriculture business powerhouse. Future of agriculture-based products depends on the crop production. A mathematical model might be characterized as a lot of equations that speak to the conduct of a framework. By using mathematical model in agriculture field, we can predict the production of crop in particular area. There are various factors affecting crops such as Rainfall, GHG Emissions, Temperature, Urbanization, climate, humidity etc. A mathematical model is a simplified representation of a real-world system. It forms the system using mathematical principles in the for

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42

Khanna, Aditya, and Andrei Kotousov. "A Mathematical Model for Interfacial Defects in Snow Layers." International Journal of Materials, Mechanics and Manufacturing 4, no. 3 (2015): 200–203. http://dx.doi.org/10.7763/ijmmm.2016.v4.256.

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43

Kumar, Deepak. "A Mathematical Model of Chemotherapeutic Drug for Tumor Treatment." Indian Journal of Applied Research 4, no. 2 (2011): 7–10. http://dx.doi.org/10.15373/2249555x/feb2014/101.

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44

Grytsay, V. I. "A mathematical model of the metabolic process of atherosclerosis." Ukrainian Biochemical Journal 88, no. 4 (2016): 75–84. http://dx.doi.org/10.15407/ubj88.04.075.

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45

Kanchanarat, Siwaphorn, and Settapat Chinviriyasit. "A Mathematical Study of an Influenza Model with Vaccination." International Journal of Applied Physics and Mathematics 4, no. 1 (2014): 22–26. http://dx.doi.org/10.7763/ijapm.2014.v4.248.

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46

Vsevolod Horyachko, Vsevolod, Oksana Hoholyuk, Taras Ryzhyi, and Serhiy Rendzinyak. "Mathematical model of electrical activity of biological network areas." Computational Problems of Electrical Engineering 9, no. 2 (2019): 8–12. http://dx.doi.org/10.23939/jcpee2019.02.008.

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In the paper, the mathematical model describing the generation of action potential and propagation of an impulse in the neuron's filaments on the basis of the analysis of parametric electriс circuits with distributed parameters and the mathematical model of synaptic interneuron connections are proposed. Developed models allow taking into account the influence of such factors as geometric, physical and chemical parameters of the neuron's filaments and the presence of different neurotransmitters in chemical synapses on transmitting a neural impulse. Further, such models can be used for investiga

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47

LIU, Yusheng. "A mathematical model of symmetry based on mathematical definition." Journal of Zhejiang University SCIENCE 3, no. 1 (2002): 24. http://dx.doi.org/10.1631/jzus.2002.0024.

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Abdullah, Saeed Ahmad, Saud Owyed, et al. "Mathematical analysis of COVID-19 via new mathematical model." Chaos, Solitons & Fractals 143 (February 2021): 110585. http://dx.doi.org/10.1016/j.chaos.2020.110585.

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Yusheng, Liu, Yang Jiangxin, Wu Zhaotong, and Gao Shuming. "A mathematical model of symmetry based on mathematical definition." Journal of Zhejiang University-SCIENCE A 3, no. 1 (2002): 24–29. http://dx.doi.org/10.1631/bf02881837.

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50

Tlustý, T., and P. Tlustý. "Ryder cup, history and strategy - mathematical model." Studia Kinanthropologica 19, no. 3 (2018): 287–90. http://dx.doi.org/10.32725/sk.2018.057.

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