Results 1 to 10 of about 90,620 (120)

Leveraging Graph-Based Representations to Enhance Machine Learning Performance in IIoT Network Security and Attack Detection

Applied Sciences, 2023
In the dynamic and ever-evolving realm of network security, the ability to accurately identify and classify portscan attacks both inside and outside networks is of paramount importance.
Bader Alwasel, Abdulaziz Aldribi, Mohammed Alreshoodi, Ibrahim S. Alsukayti, Mohammed Alsuhaibani   +4 more
doaj   +1 more source

Graph models for evaluating production capacities of enterprises [PDF]

Journal of New Economy, 2021
The known methods for evaluating production capacities of industrial enterprises mostly submit approximate estimates and are typical of the planned economy. Currently, their practical application is limited, because the product range of companies is no
Natalya V. Kireeva , Evgenia S. Zambrzhitskaya, Elena A. Makarova   +2 more
doaj   +1 more source

On Decision-Making Algorithms in Discrete Optimization Problems

Современные информационные технологии и IT-образование, 2023
The article provides a comparative analysis of the efficiency of using several predictor functions, i.e. special auxiliary functions a priori evaluating the feasibility of choosing a separating element for a certain iterative algorithm. Cases of one, two
Yulia Terentyeva
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Cycles in Bayesian Networks [PDF]

International Journal of Electronics and Telecommunications, 2021
The article is devoted to some critical problems of using Bayesian networks for solving practical problems, in which graph models contain directed cycles.
Assem Shayakhmetova, Natalya Litvinenko, Orken Mamyrbayev, Waldemar Wójcik, Dusmat Zhamangarin   +4 more
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On a graph model for reflectometry problems and some algorithms for their solution. Part 3. An approach to test data generation and some results of computational experiments

Известия высших учебных заведений. Поволжский регион: Физико-математические науки, 2022
Background. The relevance of the subject area under consideration is primarily due to the need to minimize the cost of so-called reflectometers, with the existing restriction on the condition of total monitoring of fiber-optic cables.
B.F. Mel'nikov, Yu.Yu. Terent'eva
doaj   +1 more source

On a graph model for reflectometry issues and some algorithms for their solution. Part 1. Issue statement and approaches to algorithmics

Известия высших учебных заведений. Поволжский регион: Физико-математические науки, 2022
Background. The relevance of the subject area under consideration is primarily due to the need to minimize the cost of so-called reflectometers, with the existing restriction on the condition of total monitoring of fiber-optic cables.
B.F. Mel'nikov, Yu.Yu. Terent'eva
doaj   +1 more source

Part-scale thermal simulation of laser powder bed fusion using graph theory: Effect of thermal history on porosity, microstructure evolution, and recoater crash

Materials & Design, 2021
Flaw formation in laser powder bed fusion (LPBF) is influenced by the spatiotemporal temperature distribution – thermal history – of the part during the process.
Reza Yavari, Ziyad Smoqi, Alex Riensche, Ben Bevans, Humaun Kobir, Heimdall Mendoza, Hyeyun Song, Kevin Cole, Prahalada Rao   +8 more
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On a graph model for reflectometry issues and some algorithms for their solution. Part 2. An approach to software implementation

Известия высших учебных заведений. Поволжский регион: Физико-математические науки, 2022
Backgrond. The relevance of the subject area under consideration is primarily due to the need to minimize the cost of so-called reflectometers, with the existing restriction on the condition of total monitoring of fiber-optic cables.
B.F. Mel'nikov, Yu.Yu. Terent'eva
doaj   +1 more source

On Computation Degree-Based Topological Descriptors for Planar Octahedron Networks

Journal of Mathematics, 2021
A molecular graph is used to represent a chemical molecule in chemical graph theory, which is a branch of graph theory. A graph is considered to be linked if there is at least one link between its vertices.
Wang Zhen, Parvez Ali, Haidar Ali, Ghulam Dustigeer, Jia-Bao Liu   +4 more
doaj   +1 more source

Graph Neural Network: A Comprehensive Review on Non-Euclidean Space

IEEE Access, 2021
This review provides a comprehensive overview of the state-of-the-art methods of graph-based networks from a deep learning perspective. Graph networks provide a generalized form to exploit non-euclidean space data.
Nurul A. Asif, Yeahia Sarker, Ripon K. Chakrabortty, Michael J. Ryan, Md. Hafiz Ahamed, Dip K. Saha, Faisal R. Badal, Sajal K. Das, Md. Firoz Ali, Sumaya I. Moyeen, Md. Robiul Islam, Zinat Tasneem   +11 more
doaj   +1 more source