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Proposed algorithm
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This study proposes an algorithm that includes both PNC frequency and sequence information to identify the predominant provider and estimates the percentage of identified predominant providers. Additionally, differences in travel distances to the predominant and nearest provider are compared.
9p
vishanshan
27-06-2024
1
1
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The paper proposes a type of block cipher algorithm based on cryptographic hash function and public key cryptography. The algorithm proposed here is capable of verifying the origin and integrity of the encrypted message. On the other hand, establishing a shared secret key between the sender/encryptor and the receiver/decryptor can be done for each message separately.
11p
visergeyne
18-06-2024
3
0
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This article proposes an approach to solve that equilibrium problem based on analyzing population distribution during the evolutionary process to identify empty regions in which no solutions are selected. After that, information about empty regions with the most significant area will be combined with the current reference point to create a new reference point to prioritize choosing solutions in those regions.
12p
visergeyne
18-06-2024
0
0
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The paper presents an overview of underwater traffic management systems utilizing sonar principles. Based on the evaluation of the current situation both domestically and internationally, the research team has proposed the development of a underwater signal processing algorithm based on an adaptive threshold in the Ultra-short Baseline System (USBL).
9p
visergeyne
18-06-2024
0
0
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This paper addresses the challenges of translating pivotal military symbols like double arrows onto 2D digital maps, particularly when automation is essential. It proposes a comprehensive method integrating data structure, user workflow, and algorithms to generate tactically aligned, balanced, and visually appealing double arrows for military 2D digital maps.
10p
viambani
18-06-2024
2
1
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Positron emission tomography (PET) is a type of nuclear medicine procedure that measures the metabolic activity of cells in body tissues that is well suited for detecting, staging and monitoring malignant tumours. In this paper, the authors have successfully developed the application based on the algorithm that they proposed.
10p
viambani
18-06-2024
2
1
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This article presents an efficient hybrid approach based on Brotli and LZ4 compression algorithms to compress terrain data for deployment on resource-limited devices. Experimental results show that the proposed method significantly reduces the volume of terrain data compared to using each component algorithm independently while still ensuring quality.
9p
viambani
18-06-2024
2
1
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A deep learning approach combining autoencoder with supervised classifiers for IoT anomaly detection
Anomaly detection for Internet of things (IoT) networks is a challenging issue due to the huge number of devices that connect to each other and generate huge amounts of data. In this study, we propose a model combining Autoencoder (AE) with classification algorithms to build an endto-end architecture for processing, feature extraction and data classification.
13p
viambani
18-06-2024
6
1
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The paper proposes an enhanced solution for improving the accuracy of underwater object positioning based on the Ultra-Short Baseline (USBL) sonar principle. In shallow water regions, complex hydrological phenomena affect the quality of underwater acoustic signal transmission and reception, making it essential to enhance the processing of these signal groups.
9p
viambani
18-06-2024
2
1
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The present paper considers the composite plate resting on an elastic pinned subjected to harmonic loads. The plate element model with high-order shear deformation theory and finite element algorithm is proposed in order to buckling analysis of the plate. As a result, the buckling domain is determined. Moreover, the effect of geometric parameters, elastic pins, and materials on the buckling of the plate is comprehensively investigated.
10p
dathienlang1012
03-05-2024
1
0
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The authors propose a novel BCMO-DNN algorithm for vibration optimization of functionally graded porous microplates. The theory is based on a unified framework of higher-order shear deformation theory and modified strain gradient theory. A hybrid combination of deep learning neural network and balancing composite motion optimization is developed to solve the optimization problems and predict stochastic vibration behaviors of functionally graded porous microplates with uncertainties of material properties.
12p
dathienlang1012
03-05-2024
3
0
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The article "Static behavior of FGP half-annular nanoplates resting on elastic foundation using nonlocal elasticity theory" presents an algorithm finite element for static bending analysis of the functionally graded porous (FGP) half-annular nanoplate resting on the elastic foundation (EF) using nonlocal elasticity theory. The FGP materials with two-parameter are the volume fraction index (k) and the porosity volume fraction (5) in two cases of even and uneven porosity. The EF includes Winkler-stiffness (k₁) and Pasternak- stiffness (k₂).
9p
dathienlang1012
03-05-2024
4
0
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This paper proposes an efficient method to determine entire reducts of incomplete decision tables according to the relational database approach. In the complex case, this algorithm has exponential computational complexity. However, this algorithm has polynomial computational complexity in the different cases of databases.
9p
dianmotminh02
03-05-2024
3
1
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As part of the research related to the improvement of the portfolio theory of H. Markowitz, J. Tobin, and W. Sharpe for use in established as well as developing modern stock markets, the authors proposed a concept and a numerical algorithm to choose the priority sequence of financial portfolios of non-institutional investors, taking into account their preferences and projected changes in the parameters included in financial portfolios assets.
8p
longtimenosee10
26-04-2024
3
1
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In this research, the problems were divided into three small, medium and large groups, and for each of the solving methods the evaluation criteria was calculated. The results of this comparison indicated that non-dominated optimization algorithm outperforms the exact solving method. Therefore, it was concluded that this algorithm should be used to solve the model of real data.
22p
longtimenosee10
26-04-2024
3
1
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Supply chain management in the food industry: A comprehensive hierarchical decision-making structure
The purpose of our research is to study the existing problems in the food supply chain management and to propose a decision-making algorithm for efficient and competitive business development. The study and generalization of theoretical studies in the field of food supply chain management allowed us to identify and formulate the specifics of this industry with the help of the following research methods: selection of logistics intermediaries, forecasting (indicators, flows, etc.), arrangement of nomenclature groups, optimization under risk conditions, statistical methods in data processing.
10p
longtimenosee10
26-04-2024
4
1
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Ebook "Introduction to computational molecular biology" brings together major results in the field, in coherent and readable format. Setubal and Meidanis present a representative sample of problems in molecular biology, focusing on the algorithms that have been proposed to solve them. Readers will find background material on molecular biology, definitions of key terms, descriptions of models, and a full sample of algorithmic results.
308p
tracanhphuonghoa1007
22-04-2024
2
2
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In this study an optimal weather routing model (OWR) considers the meteorological and oceanographic information, ship’s characteristics combined with adaptive Bacterial Foraging Optimization Algorithm will be proposed and applied for ship’ navigation. The simulation results will be presented to show the effectiveness as well as the reliability of this model. The OWR will make it possible for safe navigation, effective operation, energy efficiency and reduce emission from vessel.
4p
visergey
02-04-2024
1
0
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In this paper, we introduce a novel simulation-based optimization method, CMAESEP, which couples the Covariance Matrix Adaptation Evolution Strategy Optimization Algorithm and the Epanet hydraulic simulator for optimal designing water distribution networks. The proposed method is applied to the published benchmark water network of Hanoi.
10p
vilarry
01-04-2024
2
1
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In this research, an algorithm has been developed to predict traffic density on the delayed Lighthill - Whitham - Richards (LWR) model, in which a regularization difference method has been proposed as the basis for the algorithm. This article mainly focus on building an algorithm and performing experimental calculations to verify the correctness of the algorithm on a mathematical model.
7p
gaupanda024
04-04-2024
6
1
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