Relevant bibliographies by topics / Research, Industrial – Mathematical models

Contents

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

Academic literature on the topic 'Research, Industrial – Mathematical models'

Author: Grafiati
Published: 10 March 2023
Last updated: 19 July 2025

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Journal articles on the topic "Research, Industrial – Mathematical models"

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Serhiienko, Olena, Oleksandr Bilotserkivskyi, and Ihor Sosnov. "INVESTMENT CLIMATE RESEARCH MODELS OF INDUSTRIAL PARKS OF UKRAINE." Ukrainian Journal of Applied Economics and Technology 8, no. 2 (2023): 59–68. http://dx.doi.org/10.36887/2415-8453-2023-2-8.

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The investment climate characterizes the object's attractiveness for a domestic or foreign investor. It is evaluated using various statistical analysis methods, but there has yet to be a universally accepted method of its evaluation now. Therefore, applying economic and mathematical modeling will allow for assessing the relationship between the economic development of regions and their investment climate. The purpose of this research is to apply economic and mathematical tools for the assessment and analysis of the investment climate of industrial parks of Ukraine within specific regions and i
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PUKHALSKA, I. "CHOICE OF ECONOMIC AND MATHEMATICAL MODELS FOR LOGISTIC ACTIVITY OF INDUSTRIAL ENTERPRISES." Herald of Khmelnytskyi National University. Economic sciences 282, no. 3 (2020): 114–17. https://doi.org/10.31891/2307-5740-2020-282-3-20.

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Constant changes in the situation on the industry market and the growth of information requires the leaders of the food industry to use modern advances in science and technology. The most important role is played by economic and mathematical models that ensure the adoption of modern and optimal management decisions. Every industrial enterprise is faced with the need to solve the problem of delivery of factors of production (resources and funds) or finished products simultaneously to several places or to several customers. Therefore, any modern enterprise is a complex dynamic logistics system w
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Turlakova, Svitlana. "Research of mathematical methods and models of long-term industrial development." Economy of Industry 4, no. 100 (2022): 53–77. http://dx.doi.org/10.15407/econindustry2022.04.053.

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The importance of the study of relevant mathematical methods and models of long-term development of the national industry is substantiated. It has been proven that causal econometric models of production are relatively simple and convenient to use in practice, as well as the most common tools for researching the long-term economic future. It was defined that the production functions, adapted to individual circumstances, proved their ability to solve the assigned tasks. However, the problem of more accurate adjustment to the features of the simulated object of research is particularly relevant
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Alieva, N. "Economic and Mathematical Modeling of the Innovation Process in the Agro-Industrial Sector." Economic Herald of the Donbas, no. 4 (66) (2021): 29–32. http://dx.doi.org/10.12958/1817-3772-2021-4(66)-29-32.

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Modern scientific research in the field of agriculture is increasingly based on various mathematical calculations. In practice, it is the economic and mathematical models that are of particular importance. These methods and approaches are particularly valuable and widespread in the production environment, but in the modern conditions of production and economic activity, more and more industrial economic entities are faced with the application of mathematical models in order to improve the efficiency of investment resource management.
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Rudoy, Dmitry, Anastasiya Olshevskaya, Egor Alentsov, et al. "Mathematical modeling in the agro-industrial complex: basic problems and models construction." E3S Web of Conferences 381 (2023): 01082. http://dx.doi.org/10.1051/e3sconf/202338101082.

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Currently, information technologies have been tightly integrated into agriculture. Since no computer calculations are possible without a powerful mathematical apparatus, the question arises about the possibility of modeling the processes occurring in agriculture with the help of modern achievements of science and technology. The present study is devoted to the existing methods of mathematical modeling in agriculture in relation to the applied aspects of agriculture. The aim of the research is to develop a critical approach to modern developments in the field of mathematical modeling and their
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Aliyeva, Nailya Rauf kyzy. "Economic and Mathematical Modeling of the Innovation Process in the Agro-Industrial Sector." Economic Herald of the Donbas, no. 2 (64) (2021): 118–22. http://dx.doi.org/10.12958/1817-3772-2021-2(64)-118-122.

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Modern scientific research in the agro-industrial sphere is increasingly based on various mathematical calculations. In practice, it is economic and mathematical models that are of particular importance. These methods and approaches have gained particular value and distribution in the production environment, but in modern conditions of production and economic activity, more and more sectoral economic entities are faced with the application of mathematical models in order to improve the efficiency of investment resource management.
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Hrytsanchuk, Andrii, Valentyn Hrytsanchuk, Halyna Riabko, Oleksandra Semysiuk, and Andrii Stanetskyi. "Integrated approaches to corrosion risk management in industrial pipelines." Prospecting and Development of Oil and Gas Fields, no. 3 (July 18, 2023): 7–14. http://dx.doi.org/10.69628/pdogf/3.2023.07.

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Corrosive processes in technical systems are crucial for their longevity and reliability. The stability of engineering structures and the efficiency of technical systems depend on successful corrosion management. In this regard, manufacturers and researchers are actively working on the development of mathematical models for the prediction and control of corrosion processes. Mathematical models have become a key tool for accurately predicting corrosion activity and assessing associated risks. This opens up opportunities for the rational use of resources and preventing accidents, which can signi
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Zhao, Yu Qing, and Zhi Yong Li. "Evaporation Tower Heat and Mass Transfer Research in Saline Water Evaporation System." Advanced Materials Research 838-841 (November 2013): 1923–27. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.1923.

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In order to recycle the salt in industrial waste water, non-filler evaporation tower is used to evaporate and concentrate saline water. Based on the heat and mass transfer theory, developed a mathematical model of evaporation tower. Experiment results showed that difference of the export air dry bulb temperature values between models calculated and tested is within 5%. It is proves the correctness of the mathematical model.
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Mygushchenko, Ruslan, Olga Kropachek, Igor Korzhov, and Taras Baraniuk. "OBTAINING MATHEMATICAL MODELS OF MULTI-ZONE TECHNOLOGICAL UNITS THROUGH PRACTICAL IDENTIFICATION." Bulletin of the National Technical University "KhPI". Series: Hydraulic machines and hydraulic units, no. 1 (November 14, 2022): 8–14. http://dx.doi.org/10.20998/2411-3441.2022.1.02.

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Modern industrial equipment represents an extensive conjuncture of industrial and agricultural objects. Such objects require control of technical and technological processes during their operation and the ability to manage said processes in real time. The construction of control and management systems of industrial objects requires the study of such objects, and this is impossible without the presence of an appropriate mathematical model of the processes occurring in the equipment. It is known that any processes can be described by differential equations of the appropriate order. However, prac
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Мигущенко, Руслан Павлович, Ольга Юріївна Кропачек, Лілія Степанівна Шустік, and Катерина Русланівна Мигущенко. "LABORATORY STUDIES OF MATHEMATICAL MODELS THERMAL OBJECTS." Bulletin of the National Technical University "KhPI". Series: Hydraulic machines and hydraulic units, no. 2 (June 4, 2023): 4–11. http://dx.doi.org/10.20998/2411-3441.2022.2.01.

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Is devoted to the development and analysis of mathematical models of thermal objects. The extruder adopted as a thermal object is a vivid example of multi-zone pass-through technological units, the value of which is enormous for the domestic economy. In the article, the replacement of a real industrial object with a laboratory sample is carried out to work out the methodology of practical identification when obtaining a mathematical model with its subsequent analysis. A positive result is able to transfer the obtained results to a real technological unit. In the article, the object of research
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Dissertations / Theses on the topic "Research, Industrial – Mathematical models"

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Mitwasi, Mousa George. "Mathematical models for the deterministic, capacitated, single kanban system." Diss., The University of Arizona, 1991. http://hdl.handle.net/10150/185523.

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The kanban system is the most popular technique for implementing the Just-In-Time philosophy. In this dissertation we develop mathematical models for the deterministic, capacitated, single kanban system. Three different production structures are studied. The models are used to analyze the system, understand the need and behavior of kanbans, and compute good solutions for the number of kanbans to allocate for each part. The first model applies to the single-stage, single-item system. Optimal solutions for the number of kanbans for this system are developed. The second and third models are built
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Lin, Lebin. "Data Mining and Mathematical Models for Direct Market Campaign Optimization for Fred Meyer Jewelers." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1483558398637535.

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Wang, Shuai. "Data mining techniques and mathematical models for the optimal scholarship allocation problem for a state university." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1515618183686262.

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Malik, Shadan A. "Optimization model for product mix and capacity management with activity-based information." Thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-02022010-020435/.

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Abbas, Mustafa Sulaiman. "Consistency Analysis for Judgment Quantification in Hierarchical Decision Model." PDXScholar, 2016. https://pdxscholar.library.pdx.edu/open_access_etds/2699.

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The objective of this research is to establish consistency thresholds linked to alpha (α) levels for HDM’s (Hierarchical Decision Model) judgment quantification method. Measuring consistency in order to control it is a crucial and inseparable part of any AHP/HDM experiment. The researchers on the subject recommend establishing thresholds that are statistically based on hypothesis testing, and are linked to the number of decision variables and (α) level. Such thresholds provide the means with which to evaluate the soundness and validity of an AHP/HDM decision. The linkage of thresholds to (α) l
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Athawale, Samita. "Chemotherapy Appointment Scheduling and Operations Planning." University of Akron / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1428951061.

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Fatollahzadeh, Kianoush. "A laboratory vehicle mock-up research work on truck driver’s selected seat position and posture : A mathematical model approach with respect to anthropometry, body landmark locations and discomfort." Doctoral thesis, KTH, Industriell ekonomi och organisation (Inst.), 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4028.

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Professional truck drivers are highly exposed to fatigue and work related injuries. Truck drivers are common victims of musculoskeletal disorders, frequently suffering from pain symptoms particularly in the neck, shoulder and lower back. This situation is believed to be a contributor to the high absenteeism in this job category. A high percentage of this problem is due to the adoption of an unhealthy driving posture resulting from inappropriate seat design. This incorrect and poor design is owing to the insufficient and obsolete anthropometrical data which has been used for decades for arrangi
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Vijayakumar, Bharathwaj. "SCHEDULING SURGICAL CASES IN A CONSTRAINED ENVIRONMENT." Wright State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=wright1303093820.

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Roychowdhury, Sayak. "Investigation of Flash-free Die Casting by Overflow Design Optimization." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1406121850.

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Lim, Dong-Joon. "Technological Forecasting Based on Segmented Rate of Change." PDXScholar, 2015. https://pdxscholar.library.pdx.edu/open_access_etds/2220.

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Consider the following questions in the early stage of new product development. What should be the target market for proposed design concepts? Who will be the competitors and how fast are they moving forward in terms of performance improvements? Ultimately, is the current design concept and targeted launch date feasible and competitive? To answer these questions, there is a need to integrate the product benchmarking with the assessment of performance improvement so that analysts can have a risk measure for their R&D target setting practices. Consequently, this study presents how time series be
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Books on the topic "Research, Industrial – Mathematical models"

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Cassady, C. Richard. Probability models in operations research. Taylor & Francis, 2008.

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Lach, Saul. R&D, investment and industry dynamics. National Bureau of Economic Research, 1992.

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A, Ottjes Jaap, and Lodewijks Gabriël, eds. The Delft systems approach: Analysis and design of industrial systems. Springer, 2008.

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Kropachev, S. V. Programmno-t͡s︡elevoe upravlenie resheniem nauchno-tekhnicheskikh problem. "Nauka," Sibirskoe otd-nie, 1989.

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Levin, Richard C. Cost-reducing and demand-creating R&D with spillovers. National Bureau of Economic Research, 1989.

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Kropachev, S. V. Programmno-tselevoe upravlenie resheniem nauchno-tekhnicheskikh problem. Nauka, Sibirskoe otd-nie, 1989.

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Dutta, Prajit K. Better late than early: Vertical differentiation in the adoption of a new technology. National Bureau of Economic Research, 1993.

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J, Barro Robert. Quality improvements in models of growth. National Bureau of Economic Research, 1994.

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Radzikowski, Władysław. Badania operacyjne w organizacji i zarządzaniu. Wydawnictwa Uniwersytetu Warszawskiego, 1985.

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Kortum, Samuel. A model of research, patenting, and productivity growth. National Bureau of Economic Research, 1994.

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Book chapters on the topic "Research, Industrial – Mathematical models"

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Shkaberina, Guzel Sh, Viktor I. Orlov, Elena M. Tovbis, and Lev A. Kazakovtsev. "On the Optimization Models for Automatic Grouping of Industrial Products by Homogeneous Production Batches." In Mathematical Optimization Theory and Operations Research. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58657-7_33.

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Bermúdez, Alfredo. "Some Case Studies in Environmental and Industrial Mathematics." In SEMA SIMAI Springer Series. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86236-7_2.

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AbstractThis presentation deals with four case studies in environmental and industrial mathematics developed by the mathematical engineering research group (mat+i) from the University of Santiago de Compostela and the Technological Institute for Industrial Mathematics (ITMATI). The first case involves environmental fluid mechanics: optimizing the location of submarine outfalls on the coast. This work, related to shallow water equations with variable depth, led us to develop a theory for numerical treatment of source terms in nonlinear first order hyperbolic balance laws. More recently, these techniques have been applied to solve Euler equations with source terms arising from numerical simulation of gas transportation networks when topography via gravity force is considered in the model. The last two problems concerns electromagnetism. One of them is related to nondestructive testing of car parts by using magnetic nanoparticles (the so-called magnetic particle inspection, MPI): mathematical modelling of magnetic hysteresis to simulate demagnetization. Finally, we present a mathematical procedure to reduce the computing time needed to achieve the stationary state of an induction electric machine when using transient numerical simulation.
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Biesinger, Andreas, Ruben Pesch, Mariela Cotrado, and Dirk Pietruschka. "Increased Efficiency Through Intelligent Networking of Producers and Consumers in Commercial Areas Using the Example of Robert Bosch GmbH." In iCity. Transformative Research for the Livable, Intelligent, and Sustainable City. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92096-8_9.

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AbstractEnergy-efficient heating and cooling systems as well as intelligent systems for energy distribution are urgently required in order to be able to meet the ambitious goals of the European Union to reduce greenhouse gas emissions. The present article is intended to show that intelligent system extensions for the area of heating, cooling and electricity production for the industrial sector can lead to significant increase in efficiency. For this purpose, a simulation study for the expansion of a combined heat and power (CHP) plant with 2 MW thermal output using a 1.4 MW absorption chiller has been carried out. This shows that a heat-controlled CHP unit can significantly increase its running time. A system model was created for the initial situation and validated with existing measurement data. In the second step, this model was expanded to include the ACM module. The simulation was able to prove that in the event of a system expansion, the run time of the CHP unit can be increased by 35%. In addition to then increase of energy efficiency in the supply system, the analysis also focuses on the efficiency of the energy distribution via thermal networks in an industrial environment. The presented paper therefore also highlights the optimization potentials in the operation of thermal supply networks for industrial applications. For this purpose, a mathematical model has been developed which in addition to the components of the thermal network itself also comprises the producers and consumers. The specific construction of thermal networks for the supply of industrial properties requires adapted solutions for the simulation of such systems. Therefore, amongst other things, in the paper, solutions are shown for the modelling of direct flow local heating networks as well as for the operation of a cascade-controlled pump group.
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Wu, Bowei, Yanyan Jiang, and Hanzhi Liu. "Research on the Impact of China's Artificial Intelligence on the Transformation and Upgrading of Industrial Structure Based on Dynamic Panel Data Model." In Proceedings of the 2022 International Conference on Mathematical Statistics and Economic Analysis (MSEA 2022). Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-042-8_54.

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Yazdi, Mohammad. "Mathematical Models for Industrial System Reliability." In Springer Series in Reliability Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53514-7_2.

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Zemitis, Aivars. "Mathematical Models for Impinging Jets." In Progress in Industrial Mathematics at ECMI 2002. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-09510-2_55.

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Wacker, Hj, T. Kronberger, A. Ortner, and L. Peer. "Mathematical Models in Chemical Engineering." In Operations Research Proceedings. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77254-2_66.

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Terzopoulos, Demetri. "On Deformable Models." In Mathematical Sciences Research Institute Publications. Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4613-9711-3_20.

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Langenberg, H. "Mathematical Models in Environmental Research." In GKSS School of Environmental Research. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-59563-9_5.

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Göttlich, S., and A. Klar. "Minisymposium Mathematical Models for Supply Chains." In Progress in Industrial Mathematics at ECMI 2008. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12110-4_80.

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Conference papers on the topic "Research, Industrial – Mathematical models"

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Li, Zhilin, Desong Liu, Yang Liu, and Yilin Wang. "Research on Multi-Beam Swath Surveying Based on Geometric Mathematical Models and Objective Optimization Algorithms." In 2024 2nd International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII). IEEE, 2024. http://dx.doi.org/10.1109/icmiii62623.2024.00164.

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Liu, Yanwu. "Research on Computer Network Information System Security Model and Mathematical Evaluation." In 2024 2nd International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII). IEEE, 2024. http://dx.doi.org/10.1109/icmiii62623.2024.00090.

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Ahn, Janice, Rishu Verma, Renze Lou, Di Liu, Rui Zhang, and Wenpeng Yin. "Large Language Models for Mathematical Reasoning: Progresses and Challenges." In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop. Association for Computational Linguistics, 2024. https://doi.org/10.18653/v1/2024.eacl-srw.17.

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Suhartana, Martin, and Emny Harna Yossy. "An Evaluation: RSA Factorization Acquired Euler Totient Through Mathematical Formulas." In 2024 9th International Conference on Business and Industrial Research (ICBIR). IEEE, 2024. https://doi.org/10.1109/icbir61386.2024.10875948.

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Milfont, Leonardo Duarte, Gabriela Torllone de Carvalho Ferreira, and Mateus Giesbrecht. "Fault Diagnosis in PMSM Motors: A Review of Techniques Based on Mathematical Models." In IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2024. https://doi.org/10.1109/iecon55916.2024.10905762.

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Jin, Ying-Lei, Ai-Hong Tang, Yong Huang, Xu Zheng, and Qiu-Shi Xu. "Research for Equivalent Mathematical Model of MMC-DPFC." In 2017 International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII). IEEE, 2017. http://dx.doi.org/10.1109/iciicii.2017.46.

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Long, Hua, and Baoan Li. "Research on Document Content Classification on Mathematical Regression Model." In 2015 3rd International Conference on Mechatronics and Industrial Informatics. Atlantis Press, 2015. http://dx.doi.org/10.2991/icmii-15.2015.120.

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Benedikt, Ondřej, Přemysl Šůcha, and Zdeněk Hanzálek. "On Idle Energy Consumption Minimization in Production: Industrial Example and Mathematical Model." In 9th International Conference on Operations Research and Enterprise Systems. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0008877400350046.

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Afshari, Hamid, Romain Farel, Jean-Paul Gourlia, and Qingjin Peng. "Energy Symbioses in Eco-Industrial Parks: Models and Perspectives." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59965.

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Design and implementation of Eco-Industrial Parks (EIPs) is a practical and scientific solution to achieve sustainable industries. Specifically, energy exchange networks can significantly contribute to the pollution reduction by recovering and sharing wasted heat generated in industrial processes. Despite this perceived fact, the existing research seems mainly looking for one to one relation and lacks in methods for modeling and optimizing multi-synergy symbioses that is essential for EIPs. This paper reviews main concepts in designing industrial symbioses and proposes an optimization model to
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Chimmalee, Benjamas, and Anuchit Anupan. "Simulation of Network Model on Cloud Technology based on Mathematical Framework." In 2021 6th International Conference on Business and Industrial Research (ICBIR). IEEE, 2021. http://dx.doi.org/10.1109/icbir52339.2021.9465875.

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Reports on the topic "Research, Industrial – Mathematical models"

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Pasupuleti, Murali Krishna. Neural Computation and Learning Theory: Expressivity, Dynamics, and Biologically Inspired AI. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv425.

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Abstract: Neural computation and learning theory provide the foundational principles for understanding how artificial and biological neural networks encode, process, and learn from data. This research explores expressivity, computational dynamics, and biologically inspired AI, focusing on theoretical expressivity limits, infinite-width neural networks, recurrent and spiking neural networks, attractor models, and synaptic plasticity. The study investigates mathematical models of function approximation, kernel methods, dynamical systems, and stability properties to assess the generalization capa
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Olsen and Willson. L51916 Pressure Based Parametric Emission Monitoring Systems (PEMS). Pipeline Research Council International, Inc. (PRCI), 2002. http://dx.doi.org/10.55274/r0010181.

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The natural gas industry operates over 8000 stationary large bore (bore greater than 14 in) natural gas engines for natural gas compression on pipelines and power generation. As emissions regulations become increasingly more stringent, the need for low cost methods for compliance demonstration arises. A PEMS model is one such approach. Research in this area has increased significantly during the last decade. PEMS models for this application utilize parameters commonly measured on industrial engines in the field to predict engine-out emissions. Monitoring emissions in this manner represents a s
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Głąb, Tomasz, Jarosław Knaga, Tomasz Zaleski, Paweł Dziwisz, Jan Gluza, and Dariusz Glanas. Determination of soil particle size distribution using computer analysis of microscopic images. Publishing House of the University of Agriculture in Krakow, 2025. https://doi.org/10.15576/repourk/2025.1.3.

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The project aims to develop a prototype device for determining the texture of soils and mineral deposits. The innovation of the designed solution consists in a significant reduction in the time of composition analysis with the possibility of any division into granulometric groups and the complete automation of the measurement from the moment the sample is introduced into the apparatus until the result is obtained. As part of the project, industrial research and experimental development are planned to be divided into the following stages: 1. Development of the measuring system. 2. Development o
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Xie, Haiyan, and Mangolika Bhattacharya. MATH-DT: Development of Mathematical Models for Large-Scale Nonlinear Optimization for Digital Twins Nomenclature Table. Illinois State University, 2025. https://doi.org/10.30707/1741890724.245225.

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The nomenclature table for the Mathematical Digital Twin project description systematically defines key variables, parameters, and mathematical symbols used throughout the research. The table is deposited for open access, allowing other researchers to reference and build upon the work to enhance transparency and reproducibility.
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Iisa, Kristiina. Development of Kinetics and Mathematical Models for High-Pressure Gasification of Lignite-Switchgrass Blends: Cooperative Research and Development Final Report, CRADA Number CRD-11-447. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1247124.

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Markova, Oksana M., Serhiy O. Semerikov, Andrii M. Striuk, Hanna M. Shalatska, Pavlo P. Nechypurenko, and Vitaliy V. Tron. Implementation of cloud service models in training of future information technology specialists. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3270.

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Leading research directions are defined on the basis of self-analysis of the study results on the use of cloud technologies in training by employees of joint research laboratory “Сloud technologies in education” of Kryvyi Rih National University and Institute of Information Technology and Learning Aids of the NAES of Ukraine in 2009-2018: cloud learning technologies, cloud technologies of blended learning, cloud-oriented learning environments, cloud-oriented methodological systems of training, the provision of cloud-based educational services. The ways of implementation SaaS, PaaS, IaaS cloud
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Shokaliuk, Svitlana V., Yelyzaveta Yu Bohunenko, Iryna V. Lovianova, and Mariya P. Shyshkina. Technologies of distance learning for programming basics lessons on the principles of integrated development of key competences. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3888.

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In the era of the fourth industrial revolution – Industry 4.0 – developing key competences (digital, multilingual and mathematical competences in particular) is of paramount importance. The purpose of this work is to investigate the content of key competences of a secondary school student and to develop a method of teaching for the integrated development of multilingual and mathematical competences in the process of teaching Programming Basics with the help of distant technologies. The objectives of the research include generalizing and systematizing theoretical data on the structure and the c
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Rivera-Casillas, Peter, and Ian Dettwiller. Neural Ordinary Differential Equations for rotorcraft aerodynamics. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48420.

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High-fidelity computational simulations of aerodynamics and structural dynamics on rotorcraft are essential for helicopter design, testing, and evaluation. These simulations usually entail a high computational cost even with modern high-performance computing resources. Reduced order models can significantly reduce the computational cost of simulating rotor revolutions. However, reduced order models are less accurate than traditional numerical modeling approaches, making them unsuitable for research and design purposes. This study explores the use of a new modified Neural Ordinary Differential
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Pasupuleti, Murali Krishna. Quantum Cognition: Modeling Decision-Making with Quantum Theory. National Education Services, 2025. https://doi.org/10.62311/nesx/rrvi225.

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Abstract Quantum cognition applies quantum probability theory and mathematical principles from quantum mechanics to model human decision-making, reasoning, and cognitive processes beyond the constraints of classical probability models. Traditional decision theories, such as expected utility theory and Bayesian inference, struggle to explain context-dependent reasoning, preference reversals, order effects, and cognitive biases observed in human behavior. By incorporating superposition, interference, and entanglement, quantum cognitive models offer a probabilistic framework that better accounts
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Sum, Sreymom, and Pirom Khiev. Contract Farming in Cambodia: Different Models, Policy and Practice. Cambodia Development Resource Institute, 2015. https://doi.org/10.64202/wp.104.201508.

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Contract farming (CF) is increasingly seen as an effective mechanism to maximise the inclusion of and benefits for small-scale farmers, while giving some control over production to agribusinesses without requiring land ownership. In Cambodia, CF takes many forms and involves food and industrial crops, yet the different CF models and contract types have not been identified. Farmers and contractors have encountered many problems in obtaining reliable benefits from and sustaining CF schemes. The research objectives were to identify and evaluate the various models of CF practiced in Cambodia, expl
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