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Journal articles on the topic 'Generating a set of criteria'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Guterman, Lydia, Sarah Wharton, and Mary Cate Gustafson-Quiett. "Generating Constructionist Criteria for AI Educational Technology." Constructionism Conference Proceedings 8 (June 24, 2025): 557–58. https://doi.org/10.21240/constr/2025/35.x.

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With so many artificial intelligence (AI) tools in the sphere of education, how do you choose the ones that enable constructionist learning for K-12 students? It is hard to stay apprised of every AI edtech tool that comes on the market, let alone take the time to critically evaluate its usefulness for constructionist learning environments. In this hands-on and highly collaborative workshop, participants will draw upon their personal experience with constructionist tools to collaboratively develop a set of criteria to define effective constructionist tools. This set of criteria will then be use

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Cüppers, Joscha, Adrien Schoen, Gregory Blanc, and Pierre-Francois Gimenez. "FlowChronicle: Synthetic Network Flow Generation through Pattern Set Mining." Proceedings of the ACM on Networking 2, CoNEXT4 (2024): 1–20. http://dx.doi.org/10.1145/3696407.

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Network traffic datasets are regularly criticized, notably for the lack of realism and diversity in their attack or benign traffic. Generating synthetic network traffic using generative machine learning techniques is a recent area of research that could complement experimental test beds and help assess the efficiency of network security tools such as network intrusion detection systems. Most methods generating synthetic network flows disregard the temporal dependencies between them, leading to unrealistic traffic. To address this issue, we introduce FlowChronicle , a novel synthetic network fl

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Ghosh, Debdas, and Debjani Chakraborty. "A new Pareto set generating method for multi-criteria optimization problems." Operations Research Letters 42, no. 8 (2014): 514–21. http://dx.doi.org/10.1016/j.orl.2014.08.011.

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Ginevičius, Romualdas. "Generating a Structured System of Criteria for Describing a Complicated Phenomenon." Business: Theory and Practice 8, no. (2) (2007): 68–72. https://doi.org/10.3846/btp.2007.11.

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When a phenomenon is getting complicated, acquiring more particular features or aspects, it is becoming more difficult to determine the relationships between the criteria describing it. In this case, it is hardly possible to determine the criteria weights based on expert evaluation. Moreover, the question arises if the statement that the criteria describing a complicated phenomenon are interrelated as the elements of a single system is true. A comprehensive analysis shows that only hierarchically structured system of criteria can adequately describe a complicated phenomenon (CP). This system a

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Kocherov, Anton Valerievich, Andrey Okunev, and Pavel Antonovich Anisimov. "Development of an algorithm for generating driving cycles based on Markov chains." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2025, no. 2 (2025): 60–68. https://doi.org/10.24143/2072-9502-2025-2-60-68.

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The driving cycle is a speed profile that reflects the characteristics of vehicle operation. They are used both at the design stage of the vehicle and for conducting field tests after the production of prototypes. The algorithm for obtaining a riding cycle based on Markov chains allows synthesizing a set of riding cycles that satisfy the required parameters. The synthesis process can be considered as lossy compression of information, which is not a disadvantage in such practical applications. In the synthesis process, one of the key tasks is to identify significant features or criteria for a s

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Tassaddiq, Asifa, Muhammad Tanveer, Muhammad Azhar, Muhammad Arshad, and Farha Lakhani. "Escape Criteria for Generating Fractals of Complex Functions Using DK-Iterative Scheme." Fractal and Fractional 7, no. 1 (2023): 76. http://dx.doi.org/10.3390/fractalfract7010076.

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Fractals are essential in representing the natural environment due to their important characteristic of self similarity. The dynamical behavior of fractals mostly depends on escape criteria using different iterative techniques. In this article, we establish an escape criteria using DK-iteration as well as complex sine function (sin(zm)+c;m≥2,c∈C) and complex exponential function (ezm+c;m≥2,c∈C). We use this to analyze the dynamical behavior of specific fractals namely Julia set and Mandelbrot set. This is achieved by generalizing the existing algorithms, which led to the visualization of beaut

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McLaughlin, Sally, and John S. Gero. "Acquiring expert knowledge from characterized designs." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 1, no. 2 (1987): 73–87. http://dx.doi.org/10.1017/s0890060400000172.

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The expertise of designers consists, primarily, of information about the relationship between goals or performance criteria and the attributes of the desired artifact that will result in performances that will satisfy these criteria. The designer like experts in other fields is typically better at applying the knowledge that constitutes his expertise than he is at articulating this knowledge. Generation and simulation models are discussed as a means of generating a set of designs for which the set of attributes defining these designs and the performance of these designs in terms of the criteri

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König, Jemma, Andreea S. Calude, and Averil Coxhead. "Using Character-Grams to Automatically Generate Pseudowords and How to Evaluate Them." Applied Linguistics 41, no. 6 (2019): 878–900. http://dx.doi.org/10.1093/applin/amz045.

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Abstract This paper provides a practical solution to the problem of generating (good) pseudowords, which are commonly used in vocabulary testing and experimental research in applied linguistics, and introduces an empirically founded solution to evaluating the suitability of pseudowords for different tasks. In the first part of the paper, we propose a novel way of generating pseudowords—a character-gram chaining algorithm. A major advantage of the algorithm is that it does not require any knowledge of the language, thereby facilitating the generation of pseudowords in any language. Secondly, th

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Khruschak, S. V., O. М. Tkachenko, and I. S. Kolesnyk. "RAG efficiency improvement for building intellectual scientific knownledge databases." Optoelectronic Information-Power Technologies 49, no. 1 (2025): 89–97. https://doi.org/10.31649/1681-7893-2025-49-1-89-97.

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The article describes the development of an intellectual knowledge base based on scientific articles using large language models in the mode of generation by augmented search. Various methods of increasing the relevance of the sample of cited sources and generated answers of the language model and the choice of approaches to building language generative systems taking into account the specifics of scientific materials in Ukrainian and English are investigated. The use of different language models for generating answers is also considered. In the course of the study, a set of criteria for a com

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Karkour, Youssef, Chakir Tajani, and Idriss Khattabi. "Generating a Set of Consistent Pairwise Comparison Test Matrices in AHP using Particle Swarm Optimization." WSEAS TRANSACTIONS ON MATHEMATICS 23 (April 1, 2024): 206–15. http://dx.doi.org/10.37394/23206.2024.23.24.

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Pairwise Comparison Matrix (PCM) play a crucial role in multi-criteria decision-making, especially within the framework of the Analytic Hierarchy Process (AHP). It is essential for an expert to systematically assess and compare alternatives, considering various criteria as part of the decision-making process. The AHP relies on consistency to ensure the accuracy of pairwise comparisons made by decision makers, increasing the overall integrity of the decision-making process. The aim of this paper is to present an approach based on Particle Swarm Optimization (PSO) as a metaheuristic method to ge

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Parvaneh, Fatemeh, and Ahmed Hammad. "Application of Multi-Criteria Decision-Making (MCDM) to Select the Most Sustainable Power-Generating Technology." Sustainability 16, no. 8 (2024): 3287. http://dx.doi.org/10.3390/su16083287.

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In response to the growing importance of sustainability and regulatory pressures, companies are increasingly engaging in sustainable projects to mitigate environmental and social harm. Therefore, it is crucial to incorporate sustainability considerations during selecting construction projects in the feasibility phase. This study aims to identify a comprehensive set of sustainability criteria and sub-criteria to help the owners of power-generating plants to select the most sustainable technology for their new projects. Sixteen criteria are identified and categorized under the pillars of sustain

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Malczewski, J., and W. Ogryczak. "The Multiple Criteria Location Problem: 1. A Generalized Network Model and the Set of Efficient Solutions." Environment and Planning A: Economy and Space 27, no. 12 (1995): 1931–60. http://dx.doi.org/10.1068/a271931.

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This is the first of two papers in which multiple criteria location problems (MCLPs) are discussed. In this paper the main aim is to formalize a discrete MCLP and to develop a generalized network model. A critical overview of various techniques for generating efficient solutions to multiple criteria decision problems is offered. The three most commonly used methods for tackling MCLPs, namely the weighted method, the noninferior set estimation method, and the constraint method, are discussed. The main purpose of the generating techniques is to determine an exact representation of or an approxim

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Vlah, D., R. Žavbi, and N. Vukašinović. "EVALUATION OF TOPOLOGY OPTIMIZATION AND GENERATIVE DESIGN TOOLS AS SUPPORT FOR CONCEPTUAL DESIGN." Proceedings of the Design Society: DESIGN Conference 1 (May 2020): 451–60. http://dx.doi.org/10.1017/dsd.2020.165.

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AbstractNowadays, a large number of different tools that support early phases of design are available to engineers. In the past decade a specialized set of CAD-based tools were developed, that support the ideation process by generating different design alternatives according to the criteria given by the designer. Two types of tools are discussed in this paper: topology optimization and generative design tools. To investigate to what extent these tools are suitable for use in early design phases and what are the main differences between them, a study was conducted on an industrial case.

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Nefedov, A. S., V. A. Shakirov, and S. M. Ignatieva. "Multi-criteria selection of the mix of generating plants in local energy systems based on a modified analytic hierarchy process." iPolytech Journal 26, no. 3 (2022): 451–64. http://dx.doi.org/10.21285/1814-3520-2022-3-451-464.

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This paper presents a modification of the analytic hierarchy process in order to increase its efficiency for a multi-criteria comparison of mixes of generating plants in local energy areas during their development. The multi-criteria problem of selecting the most effective ratio of rated capacities is considered for power plants representing a single mix of generating plants during the development of a local energy area in the Khabarovsk Krai. The energy sources are represented by thermal, solar, wind and diesel power plants. The following estimation criteria for alternative solutions were acc

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Widiyanto, Anugerah, Seizo Kato, and Naoki Maruyama. "Optimizing Selection of Appropriate Power Generation Systems in Indonesia By Using Distance Based Approach Method." Journal of Energy Resources Technology 126, no. 1 (2004): 63–71. http://dx.doi.org/10.1115/1.1649740.

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A deterministic quantitative model has been developed to compare the technical, economical and environmental feature of various electric power generating plants. The model, which is based on matrix operations, is used in evaluating the various aspects of energy sources available for electricity generation systems in a developing country. Several energy sources which could be considered for production of electricity to meet current and future electricity demands have been chosen. These will include fossil fuel fired, nuclear, and natural-renewable energy power plants. And, a set of criteria for

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Joshi, Bhagawati, Navneet Joshi, and Alexander Gegov. "TOPSIS based Renewable-Energy-Source-Selection using Moderator Intuitionistic Fuzzy Set." International Journal of Mathematical, Engineering and Management Sciences 8, no. 5 (2023): 979–90. http://dx.doi.org/10.33889/ijmems.2023.8.5.056.

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Many criteria must be taken into account while selecting the best renewable energy source (RES), which necessitates a sophisticated multi-criteria decision-making (MCDM) procedure. Conflicting norms, as well as insufficient and inaccurate information, make this endeavour challenging. The theory of moderator intuitionistic fuzzy set (MIFS), a generalization of intuitionistic fuzzy sets (IFSs) has been developed to handle these uncertainties. The MIFS also helps to get a higher degree of precision in the uncertain behaviours due to the moderator parameter. In this paper, first some distance meas

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Wang, Jun Xia, Ying Yu, and Xiao Hui Sun. "Fuzzy Analytic Hierarchy Process Based Reputation Evaluation for Generating Companies." Applied Mechanics and Materials 556-562 (May 2014): 6660–64. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.6660.

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It is not easy to evaluate the reputation of generating companies as the influence factors are multiple, complex, and partly subjective. A fuzzy Analytic Hierarchy Process method (AHP) with a set of power industry relevant criteria is applied in this paper. The fuzzy triangular number is introduced to characterize the subjective judgment of experts, and AHP is used to deal with the multiple evaluation factors, and to calculate the relevant weights with the aid of the arithmetic laws of fuzzy triangular number. Numerical examples illustrate the effectiveness of this model.

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18

Chebakov, S. V., and L. V. Serebryanaya. "Construction of Generating Feasible Subsets in the Knapsack Problem." Doklady BGUIR 23, no. 2 (2025): 84–91. https://doi.org/10.35596/1729-7648-2025-23-2-84-91.

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A method for constructing a group of generating feasible subsets in the knapsack problem under the condition that the non-dominance depth of a given Pareto layer is greater than zero is developed. The method is based on a multicriterial mathematical model for solving the knapsack problem with two quality criteria and partitioning the initial data set of the knapsack problem into separate Pareto layers. Various methods for constructing generating feasible subsets are proposed depending on the relationship between the coordinates of the elements of the given Pareto layers and the knapsack volume

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Arias, Edmundo Jalón, Luis Freire Lescano, Giovanny Pineda Silva, and Maha Ibrahim. "Choice Optimal Fuel Alternative in Thermal Power Station Using Neutrosophic Set and MCDM Methodology." International Journal of Neutrosophic Science 23, no. 1 (2024): 216–29. http://dx.doi.org/10.54216/ijns.230119.

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In a power plant, the fuel choice directly impacts the efficiency, cost, and ecological impact of generating electricity. For power plants to produce electricity effectively and affordably to fulfill the needs of consumers in homes, companies, and communities, they need a fuel supply that is constant, dependable, and inexpensive. In this study, we used the concept of multi-criteria decision-making (MCDM) to deal with the various criteria of fuel alternatives. We used the EDAS method as an MCDM methodology to rank the fuel alternatives and select the best one. The EDAS method is employed with t

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Pates, Alexander S. "Contract for Construction of Generating Facilities Operating on Renewable Energy Sources as an Investment Tool for the Development of Renewable Energy Generation." Energy Law Forum, no. 3 (2024) (2024): 69–77. https://doi.org/10.61525/s231243500032449-1.

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This article examines three main conceptual approaches to the legal nature of contracts for the construction of generating facilities running on renewable energy sources. The author's primary focus is on the relationship between sectoral legal rules that define the specifics of forming obligations for the creation and commissioning of power plants and electrical installations, as well as the set of actions aimed at achieving the contractual result. The study finds that the three theoretical approaches under analysis (civil, complex, and investment and legal) differ in their legal regulation me

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Warmuth, Jonas, Pierluigi D'Acunto, and Corentin Fivet. "Computational Conceptual Design – Typological Exploration Of Spatial Truss Systems Through Optimization." Journal of the International Association for Shell and Spatial Structures 64, no. 4 (2023): 289–97. http://dx.doi.org/10.20898/j.iass.2023.026.

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Exploring a wide range of relevant design options from the outset is crucial for every sound conceptual design process. Optimization techniques are generally employed to generate well-performing structural design options. However, focusing only on performative criteria may narrow the design brief too early and neglect essential aspects beyond pure performance. In response, this paper introduces a new method for generating structural forms that emphasizes both performance and structural diversity. Applying mixed integer linear programming onto strut- and-tie models, the method employs layout op

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Misho, Matsankov, and Ivanova Mihaela. "Selection of Optimal Variant of Hybrid System under Conditions of Uncertainty." E3S Web of Conferences 115 (2019): 01007. http://dx.doi.org/10.1051/e3sconf/201911501007.

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The aim of the study is to select an optimal variant of a hybrid system under conditions of uncertainty according to selected criteria. The problems of the study are the different options for building the hybrid system and choosing an adequate criterion for choosing the optimal variant. The study covers analysis of three variants of building up a hybrid system for supplying of autonomous electric load. The three variants are: introduction of an active user for equalizing the load schedule; introduction of additional generating source for covering the peak portion of the load schedule; covering

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Komarov Ivan Igorevich, Oparin Maxim Vitalievich, Vegera Andrey Nikolaevich, Milyukov Igor Alexandrovich, and Muhmmad Maaz Shaikh. "Development of Models for Estimating the Cost of Power Equipment Based on Supercritical Carbon Dioxide." Journal of Environmental & Earth Sciences 7, no. 1 (2024): 251–60. https://doi.org/10.30564/jees.v7i1.7324.

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Power consumption increases annually, wherefore the air emissions during its production occasionally increase. One of the most promising trends of environmentally safe generation of electricity is the transition to oxygen-fuel power complexes operating on a carbon dioxide working medium, with a share of its capture up to 99%. It is worth noting that the breadth of application of power technologies is determined not only on the basis of criteria of thermal efficiency and environmental safety. The most important criterion is the indicator of economic accessibility, the failure of which does not

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Tong, Shih-Hsi, and Daniel C. H. Yang. "Generation of Identical Noncircular Pitch Curves." Journal of Mechanical Design 120, no. 2 (1998): 337–41. http://dx.doi.org/10.1115/1.2826978.

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In this paper the theory and algorithm for generating pairs of identical noncircular conjugate pitch curves are presented. A set of criteria for two identical rigid bodies engaging in conjugate rolling motion is established. Based on these criteria, an algorithm is developed, which can be used to design this type of rolling pairs with almost unlimited profile varieties and any number of lobes. Geometrical conditions for having C1 (or slope) continuity at the intersections of tips and roots of lobe profiles are also established. A family of similar profiles can be designed at the same time by u

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Kyrylovych, Valerii, Petro Melnychuk, Lubomir Dimitrov, and Ilona Kryzanivska. "Automated planning of the optimal movement trajectories of mobile mechatronic devices." Scientific journal of the Ternopil national technical university 102, no. 2 (2021): 64–77. http://dx.doi.org/10.33108/visnyk_tntu2021.02.064.

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The compatible work is considered and the obtained results of the known algorithms generating unobstructed trajectories of different length and smoothness are investigated. Their operation is performed within the framework of the developed software product LSTr. The use of the analyzed set of these algorithms on the set of considered sections of the generated trajectories according to the obtained results allows a differentiated approach to the use of different algorithms on different sections of trajectories, determined by the accepted criteria of length and / or smoothness. The scientific no

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Sörensen, Kenneth, and Johan Springael. "Progressive Multi-Objective Optimization." International Journal of Information Technology & Decision Making 13, no. 05 (2014): 917–36. http://dx.doi.org/10.1142/s0219622014500308.

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This paper introduces progressive multi-objective optimization (PMOO), a novel technique to include the decision maker's preferences into the multi-objective optimization process. PMOO integrates a well-known method for multi-criteria decision making (PROMETHEE) into a simple multi-objective metaheuristic by maintaining and updating a small reference archive of nondominated solutions throughout the search. By applying this novel technique to a set of instances of the multi-objective knapsack problem, the superiority of PMOO over the commonly accepted sequential approach of generating a Pareto

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Ruchit Parekh, Charles Smith, and Nathan Brown. "Deep reinforcement learning for multi-criteria optimization in BIM-supported sustainable building design." International Journal of Science and Research Archive 13, no. 1 (2024): 1030–48. http://dx.doi.org/10.30574/ijsra.2024.13.1.1775.

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This paper introduces a multi-criteria optimization (MCO) framework tailored for sustainable building design, leveraging a deep reinforcement learning (DRL) methodology to adjust design parameters. The framework integrates three key components: developing an assessment index system, training a deep neural network (DNN) model, and generating an optimal solution set using the deep deterministic policy gradient (DDPG) model. The DRL approach was tested on a three-story educational building in Shanghai, where it demonstrated superiority over traditional genetic algorithms by optimizing building en

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Sheveleva, Galina. "Transformation of corporate governance in the face of modern challenges." E3S Web of Conferences 461 (2023): 01021. http://dx.doi.org/10.1051/e3sconf/202346101021.

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Russian generating companies in the power industry require a certain transformation of corporate governance to reduce the investment risks associated with today’s challenges in order to increase investment attractiveness. For this purpose, the paper examines the rotation of ownership in these companies, the updated methodology of the Bank of Russia for assessing corporate governance, including in the context of the ESG agenda, HR strategy and growing digitalization. The results of a general assessment of the corporate governance of generating companies are presented; an additional analysis of

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Adeleke, A. K., and J. L. Smit. "WEB-BASED DECISION SUPPORT TOOL FOR BUILDING-INTEGRATED SOLAR PHOTOVOLTAIC SYSTEMS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2020 (August 3, 2020): 109–14. http://dx.doi.org/10.5194/isprs-annals-v-4-2020-109-2020.

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Abstract. A web-based multi-criteria decision support tool is designed to support the planning, control and deployment of building-integrated photovoltaic (BIPV) in the City of Cape Town, South Africa. Solar energy is one of the renewable sources for generating electricity by means of photovoltaic systems, and it offers a viable and expedient means of generating electricity within a short period of time. Nevertheless, there are some impediments to the extensive deployment of solar photovoltaic systems. The most prominent among these are generation potential and the high capital cost of initial

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Burks, Lynne S., Reid B. Zimmerman, and Jack W. Baker. "Evaluation of Hybrid Broadband Ground Motion Simulations for Response History Analysis and Design." Earthquake Spectra 31, no. 3 (2015): 1691–710. http://dx.doi.org/10.1193/091113eqs248m.

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Chapter 16 of ASCE 7 governs the selection of ground motions for analysis of new buildings and requires recordings that meet specified criteria. If a sufficient number of recordings cannot be found, it allows the use of “appropriate simulated ground motions,” but does not provide further guidance. This paper outlines a procedure for generating and selecting a set of “appropriate” hybrid broadband simulations and a comparable set of recordings. Both ground motion sets are used to analyze a building in Berkeley, California, and the predicted structural performance is compared. The structural beh

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Polikanova, I. V. "A Criterion for Mapping Homogeneity." Izvestiya of Altai State University, no. 1(129) (March 28, 2023): 135–40. http://dx.doi.org/10.14258/izvasu(2023)1-22.

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The paper proposes a definition of a homogeneous mapping based on the concept of a group action. This definition can be used to describe generalizations of the concept of "homogeneous function," including positive, absolute, limited homogeneity, lambda-homogeneity, and homogeneous distributions. The main result is as follows: if a group acts on the set of assignments and values of the mapping, and acts commutatively on the set of values, then the mapping is homogeneous with respect to these actions if and only if the homogeneity condition is satisfied for the generating set of this group.&#x0D

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Camarrone, Flavio, Michel van Speybroeck, Linda Little, Hugh Scott, and Raymond Powles. "An Honeur Framework for Generating Computer Understandable Cohort Definitions from Clinical Trial Protocols in Multiple Myeloma through Generative AI for Comparing with Real-World Data." Blood 142, Supplement 1 (2023): 7176. http://dx.doi.org/10.1182/blood-2023-181644.

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Background Study protocols define the population(s) of interest through a set of inclusion and exclusion criteria -often in the form of a textual description. In haematology, these criteria can become very complex and are difficult to translate into consistent and robust computer interpretable cohort definitions. Addressing this interoperability challenge has the potential to vastly accelerate the evaluation of populations of interest from a trial to a real world setting or to replicate studies. Generative AI (GenAI) and its potential to extract valuable information from textual data such as m

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Pihnastyi, Oleh, Georgii Kozhevnikov, and Anna Burduk. "METHOD FOR GENERATING A DATA SET FOR TRAINING A NEURAL NETWORK IN A TRANSPORT CONVEYOR MODEL." Advanced Information Systems 8, no. 2 (2024): 79–88. http://dx.doi.org/10.20998/2522-9052.2024.2.09.

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The object of research is a stochastic input flow of material coming in the input of a conveyor-type transport system. Subject of research is the development of a method for generating values of the stochastic input material flow of transport conveyor to form a training data set for neural network models of the transport conveyor. The goal of the research is to develop a method for generating random values to construct implementations of the input material flow of a transport conveyor that have specified statistical characteristics calculated based on the results of previously performed experi

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Nasiri, Samia, Amina Adadi, and Mohammed Lahmer. "Automatic generation of business process models from user stories." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 1 (2023): 809. http://dx.doi.org/10.11591/ijece.v13i1.pp809-822.

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In this paper, we propose an automated approach to extract business process models from requirements, which are presented as user stories. In agile software development, the user story is a simple description of the functionality of the software. It is presented from the user's point of view and is written in natural language. Acceptance criteria are a list of specifications on how a new software feature is expected to operate. Our approach analyzes a set of acceptance criteria accompanying the user story, in order, first, to automatically generate the components of the business model, and the

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Samia, Nasiri, Adadi Amina, and Lahmer Mohammed. "Automatic generation of business process models from user stories." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 1 (2023): 809–22. https://doi.org/10.11591/ijece.v13i1.pp809-822.

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In this paper, we propose an automated approach to extract business process models from requirements, which are presented as user stories. In agile software development, the user story is a simple description of the functionality of the software. It is presented from the user's point of view and is written in natural language. Acceptance criteria are a list of specifications on how a new software feature is expected to operate. Our approach analyzes a set of acceptance criteria accompanying the user story, in order, first, to automatically generate the components of the business model, and

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Schmidt, Mikołaj, Paweł Zmuda-Trzebiatowski, Marcin Kiciński, Piotr Sawicki, and Konrad Lasak. "Multiple-Criteria-Based Electric Vehicle Charging Infrastructure Design Problem." Energies 14, no. 11 (2021): 3214. http://dx.doi.org/10.3390/en14113214.

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The article presents the issue of designing a network of electric vehicle charging stations (EVCSs) for servicing passenger and commercial vehicles and taking into account the already existing locations. The authors propose a five-stage multicriteria- and GIS-based EVCS location methodology (5MAGISEV) for designing the EVCS network that includes defining potential EVCS locations (stage 1), constructing a family of evaluation criteria (stage 2), generating alternatives (stage 3), selecting an appropriate multiple criteria decision aid method (stage 4) and conducting a multicriteria evaluation o

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Rehman, S., M. A. Baseer, and L. M. Alhems. "GIS-based multi-criteria wind farm site selection methodology." FME Transactions 48, no. 4 (2020): 855–67. http://dx.doi.org/10.5937/fme2004855r.

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It is prevalent that by 2050, the global energy demand would increase by 50% to the current demand. The projected demand for electricity in Saudi Arabia is expected to exceed 120 GW/year by 2032. The Saudi government has set a goal of generating 9.5 GW of wind energy by 2023. In this study, firstly, a spatial interpolation technique is used to build a first accurate wind map of the entire country, then a GIS-based multicriteria decision-making model is developed to select suitable wind farm sites considering various ecological, environmental and socio-economic criteria. All the identified crit

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Manusov, V.Z., and N. Khasanzoda. "The Construction of Holonic Infrastructure of Intelligent Networks in the Smart Grid Concept with a Two-Way Flow of Energy." Problemele Energeticii Regionale 3(35) (December 15, 2017): 84–93. https://doi.org/10.5281/zenodo.1188801.

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The paper deals with the intelligent network modes based on the Smart Grid concept with the function of two-way energy flow, both from the power system and from its sources of distributed generation. The expanded interpretation and the meaning of the intellectual network concept - Smart Grid - is proposed, based on its abbreviation, which determines the system criteria for its purpose. A new concept is introduced and new definition - Holonic Approach - Smart Grid concept. A new term has been introduced: - "Generating Consumer-Holon" (GC-Holon), which means the ability of an electric

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Ajjipura Shankar, Harshitha Urs, Udaya Kumara Kodipalya Nanjappa, M. D. Alsulami, and Ballajja C. Prasannakumara. "A Fuzzy AHP-Fuzzy TOPSIS Urged Baseline Aid for Execution Amendment of an Online Food Delivery Affability." Mathematics 10, no. 16 (2022): 2930. http://dx.doi.org/10.3390/math10162930.

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The increased demand for this form of food delivery has been expected to drastically alter restaurant patrons’ dining habits. As people have been forced to stay indoors to prevent the virus from spreading, food delivery services over the internet are in high demand. As established in this study, the planned ideal is a good executive implementation for online meal delivery services. Food delivery services are rapidly growing in India, opening up several opportunities for a wide range of online food delivery (OFD) platforms while also generating a competitive commercial sector. Following that, t

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Bauer, Johannes, Rainer Herges, Eric Fontain, and Ivar Ugi. "IGOR and Computer Assisted Innovation in Chemistry." CHIMIA 39, no. 2-3 (1985): 43. https://doi.org/10.2533/chimia.1985.43.

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IGOR (Interactive Generation of Organic Reactions) is the first general-purpose, artificialintelligence-type computer program for generating graphic representations of unprecedented chemistry. The unique capabilities of IGOR are based on a global mathematical model of the logical structure of chemistry and an analysis of the complete combinatorial set of conceivable solutions to a problem by means of a converging interactive hierarchic classification procedure that avoids heuristic selection rules, because of their arbitrary nature and lack of general validity. The potential role of artificial

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Carlsson, Mattias. "A method for integrated planning of timber production and biodiversity: a case study." Canadian Journal of Forest Research 29, no. 8 (1999): 1183–91. http://dx.doi.org/10.1139/x99-058.

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A stepwise planning method is presented that supports decision making on a long-term basis by forest managers with both timber production and biodiversity objectives. An information set was generated that provides a range of solutions, which were illustrated by production possibility frontiers and future landscape development. Steps involved in generating such an information set included clarification of objectives, derivation of indicators related to the objectives, formulation of a linear program, construction of a stand projection model, generation of alternatives, and repeated generation o

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Li, Yutong, Pedro Henrique da Costa Avelar, Xinyue Chen, Li Zhang, Min Wu, and Sophia Tsoka. "CLigOpt: controllable ligand design through target-specific optimization." Bioinformatics 40, Supplement_2 (2024): ii62—ii69. http://dx.doi.org/10.1093/bioinformatics/btae396.

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Abstract Motivation A key challenge in deep generative models for molecular design is to navigate random sampling of the vast molecular space, and produce promising molecules that strike a balance across multiple chemical criteria. Fragment-based drug design (FBDD), using fragments as starting points, is an effective way to constrain chemical space and improve generation of biologically active molecules. Furthermore, optimization approaches are often implemented with generative models to search through chemical space, and identify promising samples which satisfy specific properties. Controllab

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ARGYROS, GUS, MICHAEL ARGYROS, IOANNIS K. ARGYROS, and GEORGE SANTHOSH. "A comparison between two competing sixth convergence order algorithms under the same set of conditions." Creative Mathematics and Informatics 30, no. 1 (2021): 19–28. http://dx.doi.org/10.37193/cmi.2021.01.03.

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There is a plethora of algorithms of the same convergence order for generating a sequence approximating a solution of an equation involving Banach space operators. But the set of convergence criteria is not the same in general. This makes the comparison between them hard and only numerically. Moreover, the convergence is established using Taylor series and by assuming the existence of high order derivatives not even appearing on these algorithms. Furthermore, no computable error estimates, uniqueness for the solution results or a ball of convergence is given. We address all these problems by u

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Kumar, Garimi Tirumala Jyothesh, B. S. A. Andrews, and V. D. N. Kumar Abbaraju. "The Significance of System Suitability in High-Performance Liquid Chromatography (HPLC) Analysis: Ensuring Accurate and Reliable Results." International Journal for Research in Applied Science and Engineering Technology 11, no. 10 (2023): 29–35. http://dx.doi.org/10.22214/ijraset.2023.56435.

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High-Performance Liquid Chromatography (HPLC) has emerged as a fundamental technique in modern analytical chemistry, serving as a powerful tool for the separation, identification, and quantification of [1] diverse compounds. One critical aspect that ensures the validity and credibility of HPLC results is the concept of system suitability. This abstract highlights the importance of system suitability in HPLC analysis, emphasizing its role in ensuring accurate and reliable results. System suitability is a set of pre-defined criteria that evaluate the performance of the HPLCsystem, encompassing f

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Birbrair, Lev, Marlon Gomes, and Wanderley Pereira. "Resonance sequences and recoverability." International Journal of Number Theory 11, no. 02 (2015): 495–506. http://dx.doi.org/10.1142/s1793042115500256.

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Let a = {a1,…, ak} be a finite multiset of positive integers. Consider the sequence of all positive integer multiples of all ais, and note the multiplicity of each term in this sequence. This sequence of multiplicities is called the resonance sequence generated by {a1,…, ak}. Two multisets are called combinatorially equivalent if they generate the same resonance sequence. Sometimes the initial set can be recovered from the resonance sequence, if we assume some additional information. These sets are called recoverable. The paper gives some criteria of recoverability for a rather generic class o

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Szepesi, Nóra Judit. "Are sustainable investments crisis resistant?" Economy & finance 7, no. 4 (2020): 489–508. http://dx.doi.org/10.33908/ef.2020.4.8.

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An argument often voiced to support ESG investments is they are means to finance less risky industries and companies engaged in long-term sustainable operations. According to the author’s research hypothesis, investors in crisis periods turn their attention to stocks rated high from an ESG aspect, and as a result of increased demand, portfolios set up from ESG stocks overperform the market to generate significant positive alpha. To test her hypothesis, the author analysed the alpha-generating performance of six different stock portfolios set up meeting different ESG screening criteria in crisi

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Gavrilova, Anna, Lyajsan Sagitova, Maksim Shemetov, and Angelina Antonova. "MULTICRITERIA ASSESSMENT OF TURBINE OPERATION EFFICIENCY." Energy Systems 9, no. 1 (2024): 16–21. http://dx.doi.org/10.34031/es.2024.1.002.

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The article provides a systematic analysis of the operating efficiency of the main technological equipment of a combined heat and power plant (CHP) based on a study of real statistical data obtained during testing. A set of partial efficiency indicators, collapsing into a global criterion, has been determined. An integral assessment of the potential of generating equipment of energy enterprises was carried out. The criterion of comparative efficiency makes it possible to determine the optimal characteristics and operating modes of power plants of various energy facilities. Based on the Data En

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Gargantini, Angelo, and Elvinia Riccobene. "ASM-Based Testing: Coverage Criteria and Automatic Test Sequence." JUCS - Journal of Universal Computer Science 7, no. (11) (2001): 1050–67. https://doi.org/10.3217/jucs-007-11-1050.

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This paper tackles some aspects concerning the exploitation of Abstract State Machines (ASMs) for testing purposes. We define for ASM specifications a set of adequacy criteria measuring the coverage achieved by a test suite, and determining whether sufficient testing has been performed. We introduce a method to automatically generate from ASM specifications test sequences which accomplish a desired coverage. This method exploits the counter example generation of the model checker SMV. We use ASMs as test oracles to predict the expected outputs of units under test.

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Riza, Lala Septem, Rendi Adistya Rosdiyana, Alejandro Rosales Pérez, and Asep Wahyudin. "The K-Means Algorithm for Generating Sets of Items in Educational Assessment." Indonesian Journal of Science and Technology 6, no. 1 (2021): 93–100. http://dx.doi.org/10.17509/ijost.v6i1.31523.

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In a national-scale educational assessment system, such as the National Examination, the need for several sets of questions that have the same level of difficulty is very required to avoid cheating by students. Therefore, the objective, which is to make a set of questions with the same level of difficulty automatically, is done in this research. It used a machine learning approach, namely K-Means. To achieve this goal, several following procedures need to be implemented. Firstly, we need to create banks of questions to be assigned to students. Then, we build training data by determining the va

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DANG-NGUYEN, STEPHANE, JEAN-MARC LE CAILLEC, and ALAIN HILLION. "CALIBRATION OF THE UNI-VARIATE COX–INGERSOLL–ROSS MODEL AND PARAMETERS SELECTION THROUGH THE KULLBACK–LEIBLER DIVERGENCE." International Journal of Theoretical and Applied Finance 17, no. 06 (2014): 1450038. http://dx.doi.org/10.1142/s0219024914500381.

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This paper proposes a new estimation algorithm for the uni-variate Cox–Ingersoll–Ross (CIR) model in the state-space framework. The selection criterion among parameters is the likelihood but some parameters may have the same value; thus the initialization of the optimization routine is important especially if deterministic solvers are used. The algorithm aims at combining likelihood and two additional criteria based on the Kullback–Leibler divergence in order to find initial values in a grid search. The likelihood is then optimized in a restricted parameter set. A numerical experiment consists

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