Results 281 to 290 of about 737,146 (331)

Prototype of Hydrochemical Regime Monitoring System for Fish Farms. [PDF]

Sensors (Basel)
Ivanov S, Korchenko O, Litawa G, Oliinyk P, Oliinyk O.   +4 more
europepmc   +1 more source

A network recovery strategy based on boundary nodes and tetrahedral approximation fermat points in three-dimensional wireless sensor networks. [PDF]

Sci Rep
Xu B, Chen H, Cheng Y.
europepmc   +1 more source

Assessment of gait speed in older adults using a short-distance walking test with smartphone motion sensors and machine learning. [PDF]

Sci Rep
Carniel TA, Ferretti FK, Masson FM, Eckert JP, De Sá CA.   +4 more
europepmc   +1 more source

An Efficient Algorithm for Spatial-Spectral Partial Volume Compartment Mapping with Applications to Multicomponent Diffusion and Relaxation MRI. [PDF]

IEEE Trans Comput Imaging
Liu Y, Mandal D, Liao C, Setsompop K, Haldar JP.   +4 more
europepmc   +1 more source

Polylogarithmic Approximation Algorithm for Non-Uniform Multicommodity Buy-at-Bulk

, 2005
Mohammad Taghi Hajiaghayi, Guy Kortsarz, Mohammad R. Salavatipour   +2 more
openalex   +1 more source

Approximation algorithm design and analysis in next generation communication networks

, 2018
Haitao Wu
openalex   +1 more source

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Approximation Algorithms

Journal of the Operational Research Society, 2002
(2002). Approximation Algorithms. Journal of the Operational Research Society: Vol. 53, No. 7, pp. 807-808.
Daniele Micciancio, Shafi Goldwasser
  +4 more sources

Approximate Discrete Reconstruction Algorithm [PDF]

Fundamenta Informaticae, 2013
Discrete tomography deals with tomographic reconstruction of greyscale images for which the set of possible grey levels is discrete and small. Here, we develop a discrete approximate reconstruction algorithm. Our algorithm computes an image that has only grey values belonging to a given finite set.
Batenburg, Joost, Fortes, Wagner, Tijdeman, Robert   +2 more
openaire   +3 more sources

Nonlinear smoothing: approximate algorithms

Applied Mathematics and Computation, 1979
In this paper the method of stochastic linearization is employed to develop new approximate algorithms for nonlinear smoothing. Both fixed-point and fixed-interval smoothing cases are considered. An example is included to illustrate the use of the algorithms.
Chan, W. K., Kumar, K. S. P.
openaire   +1 more source