檢索結果 - optimization algorithm

In the shift toward sustainable and resource-efficient manufacturing, Artificial Intelligence (AI) is playing a transformative role in overcoming the limitations of traditional production scheduling methods. This study, based on a Systematic Literature Review (SLR), explores how AI techniques enhanc...

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The article is devoted to the strategic block of corporate finance – the formation of the mechanism of dividend policy in the company and its role in the processes of accumulation and distribution of property. Since financial markets are characterized by high mobility and volatility, the dividend po...

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To address the high cost of implementing long-bits RSA encryption algorithms in hardware, improvements have been made to the traditional radix-4 Montgomery algorithm. Firstly, a Carry-Save Adder (CSA) is introduced to efficiently complete large numbers of addition computations. Optimization is then...

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The weighed and unweighted minimal set-cover problem, its applicability for the solution of the major optimization practical tasks, such as arrangement of service points, assignment of crews in transport, as well as the integrated-circuit and conveyer lines designing is considered. The paper objecti...

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A new approach to analyze the nuclear gamma resonance (NGR) spectra is presented and justified in the paper. The algorithm successively spots the Lorentz lines in the experimental spectrum by a certain optimization procedures. In Mössbauer spectroscopy, the primary analysis is based on the represent...

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Introduction. Multicriteria optimization, taking into account contradicting criteria, is used to improve production efficiency, reduce costs, improve product quality and environmental safety of processes. The literature describes the application of multicriteria optimization for production purposes,...

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Trajectory tracking is a crucial task for autonomous mobile robots, requiring smooth and safe execution in dynamic environments. This study uses a nonlinear model predictive controller (MPC) to ensure accurate trajectory tracking of a four-wheel drive, four-wheel steer (4WD-4WS) mobile robot. Howeve...

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The K-Means algorithm is a popular unsupervised learning method used for data clustering. However, its performance heavily depends on centroid initialization and the distribution shape of the data, making it less effective for datasets with complex or non-linear cluster structures. This study evalua...

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The article presents an approach to the topology optimization of a cargo gripper design for handling steel sheet products, employing the minimum effort principle. The primary goal of the research is to enhance the stiffness and reliability of the structure while reducing its mass. The left gripper a...

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This paper presents a cost-optimal sizing framework for Battery Energy Storage Systems (BESS) in grid-connected microgrids using the Artificial Rabbits Optimization (ARO) algorithm. The main objective is to minimize the total operational cost of the microgrid by optimally determining the size of the...

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We consider a formal method to create individual learning paths on the model of educational space in the ontological bases of educational resources presented in the form of AND / OR graph model. It is proposed swarm learning algorithm for constructing an optimal route based on models of adaptive beh...

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Depression is a rapidly increasing mental disorder that can interfere with a person’s ability and negatively affect functions in various aspects of life. Fortunately, machine learning and deep learning techniques have demonstrated excellent results in the early detection of depression using social m...

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Algorithms of solving the “minimax” weighted graph coloring problem are considered and compared. The mathematical formulation of the problem is presented; the solution optimality criteria are stated. The exact algorithm that always finds the minimum count of colors through Maghout method and then fi...

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Laminated glass combines two remarkable materials: glass and a polymer ply. While glass is stiff and brittle, the polymer ply is a rate-dependent compliant material. Together, they form a material which keeps the aesthetic value of glass, and due to the polymer, no fragile collapse appears. The poly...

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The problem of evaluating the information which is present in random signals from various sources-meters is considered. It is assumed that the random process which is evaluated and the meter output according mathematical description of the problem are vector random processes. In this case, the dimen...

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Due to the existing issues in current human pose estimation algorithms, which struggle with accurately detecting small and large-sized human keypoints as well as having lower precision, this paper proposes a scale invariant convolution neural network to estimate human pose. First, resizing network i...

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Objective – to optimize imaging algorithms of preoperative evaluation and postoperative changes and complications in patients with occlusive carotid disease.Material and methods. Results of pre- and postoperative imaging of patients with occlusive carotid disease during 2012–2016 years were analyzed...

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The work is devoted to the development of an algorithm for selection dust and gas purification equipment in order to reduce the anthropogenic impact on the environment from emissions of the heat, power and chemical industries, which are sources of complex environmental pollution. The need for the re...

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Outlier mining constitutes an essential aspect of modern data analytics, focusing on the identification and interpretation of anomalous observations. Conventional density-based local outlier detection methodologies frequently exhibit limitations due to their inherent lack of data preprocessing capab...

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Introduction. Wireless sensor networks can be used to solve various economic problems, including detection of objects (phenomena) of interest. Most of the well-known information processing algorithms in such networks are built according to a radial architecture. Such an approach assumes each sensor...

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