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Journal articles on the topic 'Model'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 July 2025

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1

Bieszk-Stolorz, Beata. "Hazard model versus logit model." Studia i Prace WNEiZ 45 (2016): 11–22. http://dx.doi.org/10.18276/sip.2016.45/2-01.

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2

Wierzbiński, Marcin. "Revenue Model in Designing Business Model." Zeszyty Naukowe Uniwersytetu Szczecińskiego Finanse Rynki Finansowe Ubezpieczenia 79 (2016): 851–68. http://dx.doi.org/10.18276/frfu.2016.79-67.

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3

Oh. "Low-Frequency Normal Mode Reverberation Model." Journal of the Acoustical Society of Korea 34, no. 3 (2015): 184. http://dx.doi.org/10.7776/ask.2015.34.3.184.

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

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Jabłoński, Marek. "Open data business model: innovative aspects of designing of business." Studia i Prace WNEiZ 52 (2018): 41–51. http://dx.doi.org/10.18276/sip.2018.52/2-03.

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Makhan'kov, V. G., Yu P. Rybakov, and Valerii I. Sanyuk. "The Skyrme model and strong interactions (On the 30th anniversary of the creation of the Skyrme model)." Uspekhi Fizicheskih Nauk 162, no. 2 (1992): 1. http://dx.doi.org/10.3367/ufnr.0162.199202a.0001.

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8

Lim, Hee-Jeong, Young-Hee Lee, and Hyo-Jung Kwon. "Evaluation of Community Land Model version 3.5-Dynamic Global Vegetation Model over Deciduous Forest in Gwangneung, Korea." Korean Journal of Agricultural and Forest Meteorology 12, no. 2 (June 30, 2010): 95–106. http://dx.doi.org/10.5532/kjafm.2010.12.2.095.

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9

Stanley, Tulis Missun, and Omar Zainudin. "FCACMs: An Appraisal of Four Management Models Among Educational Leaders in Malaysia." International Journal of Novel Research in Humanity and Social Sciences 11, no. 4 (July 31, 2024): 32–38. https://doi.org/10.5281/zenodo.13142453.

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<strong>Abstract:</strong><em> </em>Efficient and proactive leadership within educational institutions is paramount for enhancing employee satisfaction, productivity, and alignment with the educational objectives of Malaysian schools. This study delves into four foundational theoretical management models—formal, collegial, ambiguity, and cultural (FCACMs)—that significantly influence educational leadership. The formal model emphasises hierarchical structures and clearly defined performance indicators, fostering motivation and collaboration through explicit delineation of roles and responsibilities. Conversely, the collegial model emphasises collaborative decision-making and shared accountability, empowering educators and reinforcing their professional dedication. The ambiguity model advocates for adaptable leadership styles in educational environments to effectively navigate uncertainties with agility. Simultaneously, the cultural model underscores the importance of shared values and norms in harmonising staff behaviours with the institution's mission, thereby enhancing team performance. Educational leaders can adopt a holistic and adaptable approach by integrating FCACMs, harnessing the unique strengths of each model to tackle a diverse array of challenges. This integrated strategy cultivates a cohesive, forward-looking, and inclusive school environment, ultimately boosting employee motivation, team efficacy, and student success. <strong>Keywords:</strong> ambiguity model, collegial model, cultural model, formal model, FCACMs, leadership dynamics, management models. <strong>Title:</strong> FCACMs: An Appraisal of Four Management Models Among Educational Leaders in Malaysia <strong>Author:</strong> Stanley Tulis Missun, Zainudin Omar <strong>International Journal of Novel Research in Humanity and Social Sciences</strong> <strong>ISSN 2394-9694</strong> <strong>Vol. 11, Issue 4, July</strong><strong> 2024 - August 2024</strong> <strong>Page No: 32-38</strong> <strong>Novelty Journals</strong> <strong>Website: www.noveltyjournals.com</strong> <strong>Published Date: 31-July-2024</strong> <strong>DOI: </strong><strong>https://doi.org/10.5281/zenodo.13142453</strong> <strong>Paper Download Link (Source)</strong> <strong>https://www.noveltyjournals.com/upload/paper/FCACMs%20An%20Appraisal%20of%20Four%20Management-31072024-4.pdf</strong>

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10

Lei, Y., and S. Y Zhang. "Comparison and selection of growth models using the Schnute model." Journal of Forest Science 52, No. 4 (January 9, 2012): 188–96. http://dx.doi.org/10.17221/4501-jfs.

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Forestmodellers have long faced the problem of selecting an appropriate mathematical model to describe tree ontogenetic or size-shape empirical relationships for tree species. A common practice is to develop many models (or a model pool) that include different functional forms, and then to select the most appropriate one for a given data set. However, this process may impose subjective restrictions on the functional form. In this process, little attention is paid to the features (e.g. asymptote and inflection point rather than asymptote and nonasymptote) of different functional forms, and to the intrinsic curve of a given data set. In order to find a better way of comparing and selecting the growth models, this paper describes and analyses the characteristics of the Schnute model. This model has both flexibility and versatility that have not been used in forestry. In this study, the Schnute model was applied to different data sets of selected forest species to determine their functional forms. The results indicate that the model shows some desirable properties for the examined data sets, and allows for discerning the different intrinsic curve shapes such as sigmoid, concave and other curve shapes. Since no suitable functional form for a given data set is usually known prior to the comparison of candidate models, it is recommended that the Schnute model be used as the first step to determine an appropriate functional form of the data set under investigation in order to avoid using a functional form a priori.

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11

Perrin, C., V. Andréassian, and C. Michel. "Simple benchmark models as a basis for model efficiency criteria." River Systems 17, no. 1-2 (July 28, 2006): 221–44. http://dx.doi.org/10.1127/lr/17/2006/221.

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12

Rothkopf, Ernst Z. "A Reader Model Models Model Readers." Contemporary Psychology: A Journal of Reviews 33, no. 6 (June 1988): 514–15. http://dx.doi.org/10.1037/025784.

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13

Stevanović-Čarapina, Hristina, Jasna Stepanov, and Dunja Prokić. "Model for evaluating municipal waste management system applying the LCA: Part II: Model verification." Reciklaza i odrzivi razvoj 12, no. 1 (2019): 53–60. http://dx.doi.org/10.5937/ror1901053c.

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14

Hunt, Robert W. G. "COLOUR APPEARANCE MODEL (HUNT MODEL)." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 78, Appendix (1994): 78–82. http://dx.doi.org/10.2150/jieij1980.78.appendix_78.

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15

Monday, Eze, and Okunbor Charles. "Analytical study of software development process model variants." Global Journal of Engineering and Technology Advances 8, no. 2 (August 30, 2021): 023–31. https://doi.org/10.5281/zenodo.5195424.

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Software Engineering is a branch of Computer Science that evolved as a result of urgent need to deal with decades of software crisis, characterized by low theoretical knowledge and practice of the construction of error-free and efficient software. The introduction of well-organized scientific, engineering and management strategies in the process of software development no doubt led to major breakthroughs, and solutions to software failures. One of the obvious game-changer in this regard is the evolution of Software Development Life Cycle, also known as Software Process Model for driving the different phases of software construction. A sound understanding of the process model is therefore inevitable, not just for software developers, but also to users and researchers. Such a theoretical cum practical understanding will enhance decisions on which process model is best for a particular job or perspective. This invariably, contributes immensely to the probability of success or failure of the project in question. Thus, the necessity for this research. This work presents an unambiguous expository of selected software development model variants. A total of four process model variants were studied, in a theoretical, visual and analytical manner. The variants were analyzed using strength versus weakness (SVW) tabular scenario. This work was concluded by presenting guides towards choice of these models. This research is expected to be a useful reference to software practitioners and researchers.

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16

Agarwal, Smita, S. Dixit, and Alok Aggarwal. "Model to Model Transformation for Declarative Models." International Journal of Computer Sciences and Engineering 6, no. 11 (November 30, 2018): 164–70. http://dx.doi.org/10.26438/ijcse/v6i11.164170.

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Ravi, Shankar Koppula. "Databricks MLflow." Journal of Scientific and Engineering Research 8, no. 11 (November 30, 2021): 134–45. https://doi.org/10.5281/zenodo.11232369.

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This paper examines MLflow, an open-source platform specifically designed to simplify the management of the machine learning lifecycle. It covers various aspects, such as experiment tracking, code packaging, and sharing and deployment of models. The paper focuses on the integration of MLflow with Databricks, emphasizing how this collaboration enhances automatic experiment tracking and provides easier access to data and models. This integration ultimately leads to more efficient and reproducible machine learning workflows. The paper thoroughly explores the four main components of MLflow: MLflow Tracking, MLflow Projects, MLflow Models, and MLflow Model Registry. It highlights the platform's ability to address common challenges in machine learning projects, including experiment management, reproducibility, and model deployment across different environments. Furthermore, it delves into the crucial roles of MLflow Models and MLflow Model Registry in enabling flexible deployment options, such as batch, streaming, real-time, and edge deployments. These components also ensure centralized model management, compliance through audit logs, and facilitate collaboration among team members. In conclusion, the paper states that MLflow greatly contributes to overcoming the complexities of deploying real-time machine learning systems. It achieves this by offering streamlined workflows, centralized management, and comprehensive model deployment strategies. As a result, MLflow is seen as an invaluable resource for data scientists, machine learning practitioners, and researchers who are eager to enhance the efficiency and reproducibility of their machine learning projects.

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18

Edier, Vicente Aristizábal-Giraldo, Ignacio Vélez-Upegui Jaime, and Eduardo Martínez-Carvajal Hernán. "A comparison of linear and nonlinear model performance of shia_landslide: a forecasting model for rainfall-induced landslides." Revista Facultad de Ingeniería –redin-, no. 80 (September 15, 2016): 74–88. https://doi.org/10.17533/udea.redin.n80a09.

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   Landslides are one of the main causes of global human and economic losses. Vulnerability to landslide hazards has increased due to expanded land urbanisation in areas with high landslide susceptibility. Therefore, landslide hazard assessment and the capacity to predict such phenomena have been a topic of great interest within the scientific community, with the goal of implementing early warning systems. SHIA_Landslide (Open and Distributed Hydrological Simulation & Landslides) is a conceptual and physically based model to analyse shallow landslide processes by incorporating a comprehensive distributed hydrological tank model that includes water storage in the soil coupled with a classical analysis of infinite-slope stability under saturated conditions. This paper compares the forecasting performance of linear and nonlinear SHIA_Landslide model. The results obtained for the La Arenosa Catchment during the September 21, 1990 rainstorm shows that the nonlinear SHIA_Landslide replicate more accurately landslides triggered by rainfall features.

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19

Y.P., Patil. "Discrete Adaptive Model Following Sliding Mode Control Design for Improved Performance." Journal of Advanced Research in Dynamical and Control Systems 12, SP3 (February 28, 2020): 557–69. http://dx.doi.org/10.5373/jardcs/v12sp3/20201293.

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20

Nayatani, Yoshinobu. "COLOR APPEARANCE MODEL (NAYATANT MODEL NEWLY REVISED)." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 78, Appendix (1994): 83–87. http://dx.doi.org/10.2150/jieij1980.78.appendix_83.

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21

Olaniyi, G.A., A.O. Adewale, and E.O. Oyeyemi. "Variability of hmF2 over San Vito: Comparison with International Reference Ionosphere (IRI) Model Predictions." Greener Journal of Physical Sciences 3, no. 2 (February 26, 2013): 58–65. https://doi.org/10.5281/zenodo.3441438.

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A mid-latitude station was selected for this study to investigate the variations in the diurnal and seasonal median values of the height of the peak electron density of the F2-layer of the ionospheric region. Namely, San Vito (SAN)(40.60N,17.80E). Data were arranged into seasons as follow: December Solstices (November, December and January), March Equinox (February, March and April), June Solstices (May, June and July) and September Equinox (August, September and October). The diurnal and seasonal mean values were calculated, recorded and used in the analysis and comparison, this is the basis of this study. Two distinct solar activity periods were considered: 2001-2002 and 2007-2008 which were high solar activity (HSA) and low solar activity (LSA) periods respectively. Observed values were analysed and compared with predicted values of the International Reference Ionosphere (IRI-2007) model, using the two options of CCIR and URSI. The diurnal and seasonal patterns of the observed values are predicted fairly well by the IRI-2007 model, though; there were overestimations and underestimations at different times of the day for both solar activity periods in all the seasons considered. The CCIR option of the IRI-2007 model performed better in the analysis of the predicted values, though, both the CCIR and URSI gave hmF2 values closed to the observed ones for the solar activity periods considered.

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22

Zhang, X., and Y. Lei. "A linkage among whole-stand model, individual-tree model and diameter-distribution model." Journal of Forest Science 56, No. 12 (December 17, 2010): 600–608. http://dx.doi.org/10.17221/102/2009-jfs.

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Stand growth and yield models include whole-stand models, individual-tree models and diameter-distribution models. In this study, the three models were linked by forecast combination and parameter recovery methods one after another. Individual-tree models combine with whole-stand models through forecast combination. Forecast combination method combines information from different models, disperses errors generated from different models, and then improves forecast accuracy. And then the forecast combination model was linked to diameter-distribution models via parameter recovery methods. During the moment estimation, two methods were used, arithmetic mean diameter and quadratic mean diameter method (A-Q method), and arithmetic mean diameter and diameter variance method (A-V method). Results showed that the forecast combination for predicting stand variables outperformed over the stand-level and tree-level models respectively; A-V method was superior to A-Q method on estimating Weibull parameters; these three different models could be linked very well via forecast combination and parameter recovery.

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23

Szemethy, Tivadar, and Gabor Karsai. "Platform Modeling and Model Transformations for Analysis." JUCS - Journal of Universal Computer Science 10, no. (10) (October 28, 2004): 1383–407. https://doi.org/10.3217/jucs-010-10-1383.

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The model-based approach to the development of embedded systems relies on the use of explicit models in the design process. If these models faithfully represent the components of the system with respect to their properties as well as their interactions, then they can be used to predict the dynamic behavior of the system under construction. In this paper we argue for modeling the execution platform that facilitates the component interactions, and show how models of the application and the knowledge of the platform can be used to translate system configurations into another abstract formalism (timed automata, in our case) that allows system verification through model checking.

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24

Sreeramana, Aithal. "A Review on various E-business and M-business models & Research Opportunities." International Journal of Management, IT and Engineering (IJMIE) 6, no. 1 (January 5, 2016): 275–98. https://doi.org/10.5281/zenodo.161146.

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A business model is a set of process/activities that results in sustainable profit through desired revenue and customer value. The business model spells out how a company makes money by specifying its position in the value chain. A business model which uses electronic communication technology such as internet for exchanging information is called e-business model. The e-business model includes the roles and relationships among a firm's customers, allies, and suppliers; the major flows of product, services, information, and money; and the major benefits to the participants. This paper contains review on various business models used in e-business, m-business, and m banking. All the major E-commerce business models which fall under 3 main categories : B2B - Business to business, B2C - Business to consumer, C2C - Consumer to consumer are also discussed with their benefits and limitations. Based on business model framework, various research agenda and opportunities are identified and elaborated.

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25

Mammadova, (Sarabskaya) R. "SOME ISSUES OF MODE MODELS OF THE AZERBAIJANI FOLK MUSIC." Znanstvena misel journal, no. 87 (February 28, 2024): 3–5. https://doi.org/10.5281/zenodo.10724341.

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This article discusses some issues of modal models of the Azerbaijan folk music. The functioning of the extended second interval is analyzed essence.The article presents scientists’ ideas about the influence of the extended second interval in Eurasian cultural area.The expressive significance of the intonation “field” of this interval in musical culture is emphasized.

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26

Deepak, Prajapat, and Kulkarni Akanksha. "Database Management System: Data Model." Journal of Advances in Computational Intelligence Theory 5, no. 2 (May 8, 2023): 1–9. https://doi.org/10.5281/zenodo.7907613.

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<em>In this paper, we are talking about the modern application require database to catch and execute more in closure semantics than traditional application. In order to collect and analyse data, a database management system communicates with applications, end users, and the database itself. A database is a structured collection of data that is electronically accessible and stored. Large databases are housed on clusters of computers or cloud storage, whilst smaller ones can be maintained on a file system.           Data modelling, effective data representations and storage spaces. Languages, security and privacy of private information, and distributed computing concerns that permit concurrent access are all part of the design of databases. The primary tools offered to manage the database are also included in the DBMS software. A database system is the collective name for the database, the database management system, and any related applications. In this paper, we revisit the data models, in which such models play a role in the process. Analysis of the data objects and how they relate to other things is done through the process of data modelling. It is employed for the analysis of the data requirements needed for business processes. On the other hand we also talk on other essential part of data model and its types like relational, hierarchical, network and entity relational (ER) model.</em>

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27

Mengatova, Khurshida Toshmukhamatovna, and Otabek Bahodir o`g`li Uralov. "LOYIHALASH JARAYONLARINI AUTOCAD DASTURI ORQALI AVTOMATLASHTIRISH." Multidisciplinary Journal of Science and Technology 4, no. 12 (December 28, 2024): 1034–37. https://doi.org/10.5281/zenodo.14564905.

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AutoCAD is designed for representatives of the engineering sector in the field of IT technologies to implement automatic calculations in solving engineering problems, to reflect projects in graphics and drawings. The process of working with the AutoCAD program is shown.

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28

Mishra, Dr Teena. "Diamond shape model Advanced model of Service triangle." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 2445–48. http://dx.doi.org/10.31142/ijtsrd12707.

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29

Bijlsma, S. J. "From explicit to implicit normal mode initialization of a limited-area model." Meteorologische Zeitschrift 22, no. 1 (February 1, 2013): 69–74. http://dx.doi.org/10.1127/0941-2948/2013/0306.

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30

Basarić, Valentina, and Jadranka Jović. "TARGET MODAL SPLIT MODEL." TRANSPORT 26, no. 4 (January 9, 2012): 418–24. http://dx.doi.org/10.3846/16484142.2011.644044.

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The research presented in this paper is aimed at defining a model that enables the management of the relationship between private vehicles and public transport applying the available instruments of city transport policy such as parking policy and public transport policy measures. Statistical data used for modelling is sourced from the database in a wide range of EU cities. The target model was developed in the form of stepwise regression analysis. Very favourable statistical results were obtained, and the subsequent tests on the city of Novi Sad (250000 inhabitants) led to the conclusion that the obtained results were suitable for implementation in practice. The results of the implemented procedure are of great importance for the enhancement of the existing transport policies in cities, as they enable the development of strategies for finding combinations of instruments that would bring the transport system and urban environment into a desired-viable rather than consequential condition.

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31

Bredehoeft, John. "Models and Model Analysis." Ground Water 48, no. 3 (September 15, 2009): 328. http://dx.doi.org/10.1111/j.1745-6584.2009.00631.x.

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32

Chacón, José E. "Mixture model modal clustering." Advances in Data Analysis and Classification 13, no. 2 (January 13, 2018): 379–404. http://dx.doi.org/10.1007/s11634-018-0308-3.

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33

Rotgé, Wilfrid. "Model/Models in linguistics." ASp, no. 35-36 (December 1, 2002): 5–22. http://dx.doi.org/10.4000/asp.1574.

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Cho Young-Tae. "The Alternative Models for Tylerian Model of Curriculum Development:Walker's Model and Stenhouse's Model." Journal of Curriculum Studies 26, no. 1 (March 2008): 1–26. http://dx.doi.org/10.15708/kscs.26.1.200803.001.

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35

Meade, Nigel, and Towhidul Islam. "Technological Forecasting—Model Selection, Model Stability, and Combining Models." Management Science 44, no. 8 (August 1998): 1115–30. http://dx.doi.org/10.1287/mnsc.44.8.1115.

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36

Park, Jeong-Heum. "A Study on the Comparison of Simple Model and Zero-Hysteresis Model about Lithium-Ion Cell Simulation." Journal of the Korean Institute of Illuminating and Electrical Installation Engineers 38, no. 5 (October 31, 2024): 391–96. http://dx.doi.org/10.5207/jieie.2024.38.5.391.

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37

Ladzani, Watson. "Benchmarking the South African Excellence Model against worldclass best practice business Excellence Models." Environmental Economics 7, no. 4 (December 9, 2016): 8–19. http://dx.doi.org/10.21511/ee.07(4).2016.01.

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This study benchmarks South African Excellence Model (SAEM) against selected similar models in developed economies. The primary research question is: Why are South African small and medium enterprises (SMEs) not performing well in comparison to similar businesses in developed economies? The objectives of the study are to compare SAEM against worldclass best practice business excellence models, measure and rate SMEs management performance criteria. Random sampling was used to select SMEs in the construction industry. The findings revealed SAEM as equally a good model as worldclass best practice models. Empirical results revealed low management performance scores in comparison with those of worldclass best practice. Recommendations included aggressive marketing of SAEM and introducing continuous performance management improvement strategies on poorly rated criteria. Keywords: benchmarking, business excellence models, developed economies, management performance, small and medium enterprises. JEL Classification: L26, O1, L25

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Li, Jiyun, Chenxi Jia, and Chen Qian. "Progressive Breast Cancer Diagnosis Model Based on Multi-classifier and Multi-modal Fusion." International Journal of Machine Learning and Computing 11, no. 6 (November 2021): 387–92. http://dx.doi.org/10.18178/ijmlc.2021.11.6.1066.

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Moraes, Marcelo Botelho da Costa, and Marcelo Seido Nagano. "Cash Management Policies By Evolutionary Models: A Comparison Using The MILLER-ORR Model." Journal of Information Systems and Technology Management 10, no. 3 (December 30, 2013): 561–76. http://dx.doi.org/10.4301/s1807-17752013000300006.

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Putri, Ayu Setiyo, Bambang Riadi, and Iswanti Wahyuni. "PENGEMBANGAN MODUL PEMBELAJARAN TEKS PROSEDUR BERBASIS MODEL DISCOVERY LEARNING DI SMP KELAS VII." Jurnal Kata : Bahasa, Sastra, dan Pembelajarannya 10, no. 1 (2022): 21–32. http://dx.doi.org/10.23960/kata.v10.i1.202203.

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This research was This research aims to produce, develop, and describe the feasibility of teaching material product in the form of discovery learning-based procedure text learning module in SMP class VII. This research used the Research and Development (R&D) method by Borg and Gall. The product research results in the form of modules which consists of four modules containing learning materials, learning activities, practice questions, summaries, and formative tests. Each module has learning activities by implementing the steps in the discovery learning model, namely providing stimulation, identifying problems, collecting data, processing data, verifying data, and drawing conclusions. The module feasibility test was carried out by material expert and educator of Indonesian subject. The results of the validation test by material expert obtained an average percentage of 81.25% in very feasible category. The results of validation by Indonesian language educator obtained an average percentage of 82.5% in very feasible category.

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Mishra, Binayaka. "Weiner Model." International Journal of Science and Research (IJSR) 11, no. 4 (April 5, 2022): 201–29. http://dx.doi.org/10.21275/sr22401092446.

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42

Jung, Do-sub. "Black-Scholes 옵션 모형의 Model Risk에 관한 시뮬레이션 분석". Journal of CEO and Management Studies 25, № 3 (31 жовтня 2022): 113–30. http://dx.doi.org/10.37674/ceoms.25.3.6.

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43

Milya, Sari, and Asmendri. "Analisis Model-model Blended Learning di Lembaga Pendidikan." Natural Science: Jurnal Penelitian Bidang IPA Dan Pendidikan IPA 5, no. 2 (September 26, 2019): 835–47. https://doi.org/10.5281/zenodo.4399932.

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The purpose of the study was to analyze the blended learning models used in various educational institutions. These blended models become references for educators who want to apply this model in their learning. The research method uses library research. The results of this research can be seen from many blended learning models used by various educational institutions. There are four MBL developed in US educational institutions, namely: rotation, flex, Self-blend and enriched-virtual models. There are also three possibilities for the development of MBL learning in education, namely web courses, web centric courses, and web enhanced courses. In addition, there are also five levels of ICT use in learning. Each model and type has advantages and disadvantages. Educators can combine or modify these models according to the conditions of their respective educational institutions.

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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 (June 2015): 192–97. http://dx.doi.org/10.7763/ijmo.2015.v5.460.

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Srivastava, Rishika. "Research of Contrast between Waterfall Model and Prototype Model." International Journal of Science and Research (IJSR) 12, no. 5 (May 5, 2023): 601–5. http://dx.doi.org/10.21275/sr23505215516.

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Tomohara, Akinori, and Akihiko Ohno. "What are Relevant Work Incentive Models? Shirking Model, Gift Exchange Model, or Reciprocity Model." Journal of Labor Research 34, no. 2 (April 9, 2013): 241–52. http://dx.doi.org/10.1007/s12122-013-9159-z.

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Ma, Kun, Bo Yang, and Ajith Abraham. "A Relational Approach to Model Transformation with QVT Relations Supporting Model Synchronization." JUCS - Journal of Universal Computer Science 17, no. (13) (September 1, 2011): 1863–83. https://doi.org/10.3217/jucs-017-13-1863.

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Abstract:

With the help of model transformation, it is possible to generate target models from source models. A possible way to face iterative development process with frequent modifications is to use not only a single transformation but also frequent model synchronization. In this paper, we propose a relational approach to model transformation using Query/View/Transformations (QVT) Relations language that also provides model synchronization mechanism based on the version of the models. The proposed framework uses a Platform-Independent Business Model (PIM-BM) and a Platform-Specific Business Component Model (PSM-BC) via the extension of the UML metamodel and MOF at different levels of abstraction, which sufficiently describe both the structural and behavioral properties of generic Web applications. Also we present the typical model mapping rules between PIM-BMs and PSM-BCs using QVT Relations. Finally the model synchronization based on the version of models is provided for the above model transformation approach.

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Wagner, Gerd. "Information and Process Modeling for Simulation – Part I: Objects and Events." Journal of Simulation Engineering 1 (June 28, 2018): 1:1–1:26. https://doi.org/10.5281/zenodo.11110129.

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In simulation engineering, a system model mainly consists of an <em>information model </em>describing a system's state structure and a <em>process model</em> describing its dynamics. In the fields of <em>Information Systems</em> and <em>Software Engineering</em>, there are widely used standards such as the <em>Class Diagrams</em> of the <em>Unified Modeling Language (UML)</em> for making information models, and the <em>Business Process Modeling Notation (BPMN)</em> for making process models. This tutorial presents a general <em>Object Event Modeling</em><em> (OEM)</em> approach for Discrete Event Simulation modeling using UML class diagrams and BPMN-based process diagrams at all three levels of <em>model-driven simulation engineering</em>: for making conceptual domain models, for making platform-independent simulation design models, and for making platform-specific, executable simulation models. In this approach, object and event types are modeled as special categories of UML classes, random variables are modeled as a special category of UML operations constrained to comply with a specific probability distribution, and queues are modeled as ordered association ends, while <em>event rules</em> are modeled both as BPMN-based process diagrams and pseudo-code. In Part II, we discuss the more advanced OEM concepts of <em>activities</em> and GPSS/SIMAN/Arena-style <em>Processing Networks</em>. Finally, in Part III, we further extend the OEM paradigm towards agent-based modeling and simulation by adding the concepts of <em>agents</em> with <em>perceptions</em>, <em>actions</em> and <em>beliefs</em>.

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Ikushima, Kazuki, Takahiro Yano, Ryohei Natsume, Masakazu Shibahara, and Mitsuru Ohata. "Study on fracture mode of spot weld joint using continuum damage mechanics model." QUARTERLY JOURNAL OF THE JAPAN WELDING SOCIETY 35, no. 2 (2017): 28s—32s. http://dx.doi.org/10.2207/qjjws.35.28s.

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Wyckaert, Katrien, Fülöp Augusztinovicz, and Paul Sas. "Vibro‐acoustical modal analysis: Reciprocity, model symmetry, and model validity." Journal of the Acoustical Society of America 100, no. 5 (November 1996): 3172–81. http://dx.doi.org/10.1121/1.417127.

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