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The major objective of the current research work is to generate an efficient algorithm for generation of free form surface from non-invasive CT scan images.
A weather model-based site matching of equipment and a simple numerical algorithm for generation unit sizing have been presented.
This paper presents a new three-dimensional (3D) ultrasound reconstruction algorithm for generation of 3D images from a series of two-dimensional (2D) B-scans acquired in the mechanical linear scanning framework.
Helma et al. [5] reported MOLFEA algorithm for generation of descriptors based on molecular fragments for non-congeneric compounds and compared various machine learning algorithms with its data set of 684 compounds derived from Carcinogenic Potency Database (CPDB: http://potency.berkeley.edu/).edu/
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This paper describes numerical and experimental results of beamforming algorithms for generation of directional sound.
Four clusters were obtained for Genetic Algorithm run for generation of twenty models.
An algorithm for the generation of the fibre distribution is proposed for the generation of three-dimensional Representative Volume Elements (RVEs).
Also, a suitable algorithm for mask generation is proposed.
The model and algorithm for the generation of the Solar Collection Envelope are presented.
First, the algorithm for descriptor generation is described, along with implementation of ML methods for Quantitative Materials Structure-Property Relationship (QMSPR) modelling.
The core of this paper is an algorithm for the generation of random instances of polyhedral scenes.
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CEO of Professional Science Editing for Scientists @ prosciediting.com