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Effect of color noise on the processing of optical signals using the swarm intellect algorithm.9. The effect color noise with levels of 1 to 10% has on the processing of optical signals using the particle

Information-statistical approach to inverse optical problem solution for 3D disperse systems with nano- and micro particles the share of different types of particles in mixtures. At the solution of inverse optical problem

Parallelizing by Smart Tiling for parallelizing programs, the authors propose to use Discrete Particle Swarm Optimization Method

Tests in Kaluza-Klein gravitational theory in the presence of a scalar electric potential and a reactive potential is obtained for the additional time interval for passage of a signal with allowance for the indicated

SiPM-matrix readout of two-phase argon detectors using electroluminescence in the visible and near infrared range searches to record (in the gas phase) the ionization signal induced by particle scattering in the liquid

Bioluminescent aptamer-based solid-phase microassay to detect lung tumor cells in plasma on the surfaces of magnetic streptavidin-activated microspherical particles. Clinical blood samples from cases

METHODS ANALYSIS OF “LOCATION OF BASE STATIONS IN MOBILE NETWORKS” USING PSO ALGORITHM the possibility of using PSO (particle swarm algorithms) to find solutions for optimal placement of base stations

The synthesis of p-tert-butyl thiacalix[4]arenes functionalized with secondary amide groups at the lower rim and their extraction properties and self-assembly into nanoscale aggregates of similar size (1.1-2.7 nm) and nanoscale particles consisting of p-tert-butyl thiacalix[4]arenes and silver

Recognition of graphic patterns: Part IA description of the process of recognition of graphic objects in real-time systems is considered

Positron trapping at quantum-dot-like particles on metal surfaces positron annihilation-induced Auger signal intensity and an enhancement of the Cu one for surfaces created

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