On the Efficiency of Metaheuristic Optimization for Adaptive Image Steganography in the DFT Domain
Anna Melman, Oleg Evsutin
2021 XVII International Symposium "Problems of Redundancy in Information and Control Systems" (REDUNDANCY)
Krouk E. IEEE, 2021
Aggregate Estimates for Probability of Social Engineering Attack Success: Sustainability of the Structure of Access Policies
, , et al., , in : International Symposium on Computer Science, Digital Economy and Intelligent Systems, CSDEIS 2019. Vol. 1127: Advances in Intelligent Systems, Computer Science and Digital Economics.: Springer, 2020. P. 299-306.
Added: September 30, 2021
, , Приборы и системы. Управление, контроль, диагностика 2018 № 1 С. 25-33
In this paper author suggests a new hybrid decision support system for operation with a class of semistructured tasks with underdetermined variables. Author defined the general tasks of prediction and estimation for a class of semistructured tasks. Use of interval neural networks and genetic algorithms for such tasks is justified. Author developed the algorithm to ...
Added: February 9, 2018
Возможности и перспективы применения методов искусственного интеллекта для решения краевых задач математической физики в инженерной практике
, , Нейрокомпьютеры: разработка, применение 2019 Т. 21 № 2 С. 16-31
The history of evolution of methods for solving boundary value problems of solid mechanics is traced, the comparative analysis of methods from the point of view of reliability of the obtained solutions is carried out. An attempt is made to develop the method of fictitious canonical domains by applying the technology of genetic algorithms. On ...
Added: November 15, 2019
, , et al., Journal of Industrial and Management Optimization 2016 Vol. 12 No. 4 P. 1391-1415
In this study, a genetic algorithm (GA) with priority-based representation is proposed for a flexible job shop scheduling problem (FJSP) which is one of the hardest operations research problems. Investigating the effect of the proposed representation schema on FJSP is the main contribution to the literature. The priority of each operation is represented by a ...
Added: January 16, 2016
, , , , in : Advances in Intelligent Systems and Computing Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing (FANCCO - 2015). Vol. 415.: Switzerland : Springer, 2015. P. 323-336.
In this paper we observe the opportunity to offer new methods of solving NP-hard problems which frequently arise in the domain of information management, including design of database structures and big data processing. In our research we are focusing on the Maximum Clique Problem (MCP) and propose a new approach to solving that problem. The ...
Added: February 14, 2016
Assessment of Dendritic Cell Therapy Effectiveness Based on the Feature Extraction from Scientific Publications
, , et al., , in : Proceedings of ICPRAM 2015 - 4th International Conference on Pattern Recognition Applications and Methods. Vol. 2.: SciTePress, 2015. P. 270-276.
Dendritic cells (DCs) vaccination is a promising way to contend cancer metastases especially in the case of immunogenic tumors. Unfortunately, it is only rarely possible to achieve a satisfactory clinical outcome in the majority of patients treated with a particular DC vaccine. Apparently, DC vaccination can be successful with certain combinations of features of the ...
Added: November 20, 2015
New possibilities of application of artificial intelligence methods for high-precision solution of boundary value problems
, , Mathematics and Statistics 2020 Vol. 8 No. 3 P. 323-333
Abstract One of the main problems in modern mathematical modeling is to obtain high-precision solutions of boundary value problems. This study proposes a new approach that combines the methods of artificial intelligence and a classical analytical method. The use of the analytical method of fictitious canonic regions is proposed as the basis for obtaining reliable ...
Added: November 28, 2020
Применение кластеризации в задачах размещения подвижных точек доступа в воздушно-наземных беспроводных сетях
, , et al., Системы и средства информатики 2020 Т. 30 № 4 С. 25-37
The paper provides an overview of tasks that arise in wireless networks with mobile base stations located on unmanned aerial vehicles (UAV). The authors choose two methods of adaptive navigation based on user clustering for a comparative analysis of effectiveness of network deployment - the k- means method and the particle swarm method. The solution ...
Added: May 19, 2023
, Neural Computation 2017 No. 29(3) P. 804-824
Cuing a location in space produces a short-lived advantage in time. This early advantage, however, switches to a reaction time and has been termed inhibition of return (IOR). IOR behaves differently for different response modalities, suggesting that it may not be a unified effect. Ion with random, continuous cue-target Euclidean distance and cue-target onset asynchrony. ...
Added: September 20, 2016
, , et al., Journal of Physics: Conference Series 2017 Vol. 792 P. 1-5
Nowadays, genetic algorithms stand out for airfoil optimisation, due to the virtues of mutation and crossing-over techniques. In this work we propose a genetic algorithm with arithmetic crossover rules. The optimisation criteria are taken to be the maximisation of both aerodynamic efficiency and lift coefficient, while minimising drag coefficient. Such algorithm shows greatly improvements in ...
Added: January 20, 2023
, , , , in : Security and Privacy Preserving for IoT and 5G Networks: Techniques, Challenges, and New Directions. : Springer, 2022. Ch. 5. P. 81-115.
Cyber-physical systems are one of the key technological trends in the modern world. However, their use is associated with the need to counter a variety of cyber threats. This review is devoted to information hiding methods and algorithms designed to ensure security in cyber physical systems. This application of embedding methods is fairly new, but ...
Added: October 12, 2021
Fuzzy Programming Approach to a Multi-Objective Fuzzy Stochastic Routing and Siting Hazardous Wastes
, Transportation Management 2020 Vol. 3 No. 1 P. 1-24
The aim of the research article is not only to propose a solution procedure to solve multi-objective fuzzy stochastic programming problem by using genetic-algorithm-based fuzzy programming method, but also to apply the computational techniques for transportation of the hazardous waste materials. In this article, routing and siting problems for nuclear hazardous waste material are studied and solved. ...
Added: January 11, 2022
Fuzzy Stochastic Price Scenario Based Portfolio Selection and its Application to BSE using Genetic Algorithm
, Applied Soft Computing Journal 2018 Vol. 62 P. 867 -891
This paper is concerned with portfolio selection problem using a fuzzy stochastic price scenario. In this scenario, a ratio factor (k) is calculated from the historical data to generated the future price of the stocks of Bombay Stock Exchange. The ratio factor k of different stocks are treated as a fuzzy numbers, which in turn gives future ...
Added: January 11, 2022