Pseudocode of the Adaptive Line Sampling algorithm
Subnet Shortest Path Pseudocode based on Dijkstra's Algorithm
... 2 Full Professor, School of Electronic, Collage of Engineering, Sudan University of Science and Technology, Sudan ...
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Genetic algorithm based optimization for terahertz time domain adaptive sampling
... the adaptive scan, and at the same time provide a significantly higher accuracy than the step scans using the same number of data ...points adaptive scan can achieve good accuracy with the measurement four ...
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An automatic adaptive importance sampling algorithm for molecular dynamics in reaction coordinates
... importance sampling scheme one needs a lot of a priori knowledge about the ...Metadynamics algorithm which is quite famous in MD. This algorithm was first proposed by [13] called Local Elevation and ...
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Adaptive distance sampling
... a line transect survey must be ...the adaptive legs. This is not restricted to line transects, and the comments also apply, although to a lesser extent, to point ...an adaptive line ...
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An Adaptive Defect Weighted Sampling Algorithm to Design Pseudoknotted RNA Secondary Structures
... new algorithm to design RNA sequences for pseudoknotted secondary ...folding algorithm to compute the equilibrium characteristics of the pseudoknotted RNAs, and describe a new adaptive defect ...
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Adaptive On-line Genetic Algorithm Based PD Iterative Control for PUMA560
... D. Operation of Genetic Algorithm Steps of the copy operation, the crossover operator and mutation operation are included in the specific genetic manipulation. First, fitness proportional method is used for ...
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An energy aware adaptive sampling algorithm for energy harvesting WSN with energy hungry sensors
... aware adaptive sampling (EASA) approach that combines an adaptive sampling algorithm (ASA) with an energy management technique optimized for energy harvesting ...the sampling ...
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Stochastic sampling design using a multi-objective genetic algorithm and adaptive neural networks
... subpopulations of the offspring population. Furthermore, when using the integer coding, two or more genes in a newly created chromosome may have the same value indicating that more than one pressure logger should be ...
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Adaptive Global Visibility Sampling
... visibility algorithm which com- putes from-region visibility for all view cells simultaneously in a progressive ...of adaptive sampling strategies based on ray mutations that exploit the spatial ...
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Safe Adaptive Importance Sampling
... safe adaptive importance sampling scheme for CD and SGD ...gradient-based sampling is theoretically well ...the adaptive sampling distribution computationally tractable, we rely on safe ...
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A Line-Search Algorithm Inspired by the Adaptive Cubic Regularization Framework and Complexity Analysis
... the algorithm), this makes the computational cost per iteration ...LS algorithm derived from ARC enjoys the same convergence and complexity analysis properties as ARC, in particular the first-order ...
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Adaptive Rate Sampling and Filtering Based on Level Crossing Sampling
... A reference filtered signal is generated. In this case, instead of decimating h k to obtain h i j , a specific filter h i m is directly designed for W i by using the Parks-McClellan algorithm. It is designed for ...
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Adaptive Sampling with Mobile Sensor Networks
... itself and shared data from other networked sensors. Figure 4.1 intuitively explains the informative measurement determination with network collaboration, where v i , i = 1...4 is denoting networked sensors, and the ...
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The Short Sampling Period in Adaptive Control
... Short Sampling Period in Adaptive Control ...short sampling period in adaptive control has not been described properly when controlling the real process by adaptive ...short ...
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Adaptive Basis Sampling for Smoothing Splines
... develop adaptive basis sampling for efficient computation of smoothing ...fast algorithm enable the classical nonparametric statisti- cal model to deal with large data ...via adaptive basis ...
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Adaptive conformational sampling based on replicas
... Several sampling techniques are available to search the multi-minima free energy landscape but most efficient, time-dependent methods do generally not produce a canonical ...A sampling algorithm ...
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Adaptive Sampling for Large Scale Boosting
... of sampling examples from the training set according to their boosting weights, and of approximating a weighted average over the full set by a non-weighted average over the sampled ...training algorithm ...
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Adaptive sampling of cumulus clouds with UAVs
... the date of receipt and acceptance should be inserted later Abstract This paper presents an approach to guide a fleet of Unmanned Aerial Vehicles to actively gather data in low-altitude cumulus clouds with the aim of ...
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Quantile Estimation with Adaptive Importance Sampling
... is adaptive. Adaptive algorithms, but only for expected values and not for quantiles, are introduced in the work of [ 2 ] and [ 3 ...Robbins-Monro algorithm of Chen et ...
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Fast Adaptive Reconstruction Algorithm for Line Spectrum Pair Parameters Based on Compressed Sensing
... Keywords: Line spectrum pair parameters, Compressed sensing, Adjustment ...Abstract. Line Spectrum Pair Parameters (LSF) are important parameters in low rate speech ...new adaptive reconstruction ...
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