Results 31 to 40 of about 86,954 (260)
On the application of one approach for data clustering in the agro-industrial complex [PDF]
E3S Web of Conferences, 2023 The paper presents an approach to the automatic grouping algorithms development based on parametric optimization models for processing high-volume data in the agrarian and industrial complex.
Rozhnov Ivan P. +4 more
doaj +1 more source
Applications of Parametric Searching in Geometric Optimization
Journal of Algorithms, 1994 Summary: We present several applications in computational geometry of Megiddo's parametric searching technique. These applications include: (1) finding the minimum Hausdorff distance in the Euclidean metric between two polygonal regions under translation; (2) computing the biggest line segment that can be placed inside a simple polygon; (3) computing ...
Pankaj K. Agarwal +2 more
openaire +3 more sources
Cardiovascular oscillations: in search of a nonlinear parametric model [PDF]
SPIE Proceedings, 2003 We suggest a fresh approach to the modeling of the human cardiovascular system. Taking advantage of a new Bayesian inference technique, able to deal with stochastic nonlinear systems, we show that one can estimate parameters for models of the cardiovascular system directly from measured time series.
Bandrivskyy, Andriy +5 more
openaire +1 more source
A Parametric Framework for Cooperative Parallel Local Search [PDF]
, 2014 In this paper we address the problem of parallelizing local search. We propose a general framework where different local search engines cooperate (through communication) in the quest for a solution. Several parameters allow the user to instantiate and customize the framework, like the degree of intensification and diversification.
Munera, Danny +3 more
openaire +3 more sources
Evolutionary quantum architecture search for parametrized quantum circuits
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022 Recent advancements in quantum computing have shown promising computational advantages in many problem areas. As one of those areas with increasing attention, hybrid quantum-classical machine learning systems have demonstrated the capability to solve various data-driven learning tasks. Recent works show that parameterized quantum circuits (PQCs) can be
Li Ding 0010, Lee Spector
openaire +2 more sources
Parametrically enhanced hidden photon search
Physical Review D, 2014 21 pages, 4 ...
Graham, Peter W. +3 more
openaire +3 more sources
SEARCH ALGORITHM FOR THE PARAMETRIC IDENTIFICATION OF THE ELECTRIC DRIVE OF THE MONITORING SYSTEM
Системный анализ и прикладная информатика, 2017 The problem of parametric identification of a mathematical model of a technical system or a device is considered, which considers the electric drive of a monitoring system installed on an unmanned aerial vehicle.
A. S. Abufanas +2 more
doaj +1 more source
GSA-KELM-KF: A Hybrid Model for Short-Term Traffic Flow Forecasting
Mathematics, 2023 Short-term traffic flow forecasting, an essential enabler for intelligent transportation systems, is a fundamental and challenging task for dramatically changing traffic flow over time.
Wenguang Chai +4 more
doaj +1 more source
Metaheuristic Parameter Identification of Motors Using Dynamic Response Relations
Sensors, 2022 This article presents the use of the equations of the dynamic response to a step input in metaheuristic algorithm for the parametric estimation of a motor model.
Omar Rodríguez-Abreo +3 more
doaj +1 more source
Cole's Parametric Search Technique Made Practical [PDF]
CoRR, 2013 Parametric search has been widely used in geometric algorithms. Cole's improvement provides a way of saving a logarithmic factor in the running time over what is achievable using the standard method. Unfortunately, this improvement comes at the expense of making an already complicated algorithm even more complex; hence, this technique has been mostly ...
Michael T. Goodrich, Pawel Pszona
openaire +2 more sources