Results 51 to 60 of about 212,839 (166)
An Innovative Hybrid Approach Producing Trial Solutions for Global Optimization
Global optimization is critical in engineering, computer science, and various industrial applications as it aims to find optimal solutions for complex problems. The development of efficient algorithms has emerged from the need for optimization, with each
Vasileios Charilogis +3 more
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Intelligent Processing Methods
Nowadays, in the era of information technology, intelligent data processing methods play an important role in various spheres of life. These methods, together with modern algorithms and computer models, allow extracting valuable information from huge ...
Veronika V. Tolmanova, Denis A. Andrikov
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Interpolation Methods for Stochastic Processes Spaces
The scales of classes of stochastic processes are introduced. New interpolation theorems and boundedness of some transforms of stochastic processes are proved. Interpolation method for generously monotonous processes is entered. Conditions and statements
E. Nursultanov, T. Aubakirov
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Seyyar Robotlarda Kullanılan Stokastik Konum Belirleme Algoritmalarının Karşılaştırmalı Analizi
The problem of mobile robot localization is the problem of finding robots position in its environment. Localization ability plays important role for mobile and autonomous robots because robot must know its position to reach the goal. There are several
U. Bayaliev, U. Brimkulov, R. Sultanov
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Projection methods for stochastic structural dynamics
A set of novel hybrid projection approaches are proposed for approximating the response of stochastic partial differential equations which describe structural dynamic systems.
Pryse Sion Eilir +2 more
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Stochastic methods of information security
Computer systems (CS) security has become a very critical concern that needs the attention of researchers to ensure the information protection and cyber security.
Mikhail A. Ivanov
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Stochastic Methods for Inferring States of Cell Migration. [PDF]
Allen RJ +4 more
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Dynamic Camera Reconfiguration with Reinforcement Learning and Stochastic Methods for Crowd Surveillance. [PDF]
Bisagno N +4 more
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Is it possible for a first-order method, i.e., only first derivatives allowed, to be quadratically convergent? For univariate loss functions, the answer is yes -- the Steffensen method avoids second derivatives and is still quadratically convergent like Newton method.
Zhao, Minda, Lai, Zehua, Lim, Lek-Heng
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Efficiency optimization methods for stochastic configuration networks
To solve the problems of the low efficiency of parameter allocation and time-consuming computation of output weights in the hidden layers of stochastic configuration networks (SCNs), an optimization method is proposed to improve the SCNs construction ...
Aijun Yan, Shixiao He
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