Examples of 'proposed algorithm' in a sentence
Meaning of "proposed algorithm"
A proposed algorithm is a suggested set of steps or instructions for solving a specific problem or performing a particular task. It is a theoretical framework that needs to be tested and evaluated before its implementation
How to use "proposed algorithm" in a sentence
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proposed algorithm
It is proven that the proposed algorithm is optimal.
The proposed algorithm has many advantages.
This example shows that the proposed algorithm.
The proposed algorithm deals with quantized data.
Several performance results of the proposed algorithm will be presented.
The proposed algorithm is simple.
So there must be something wrong with our proposed algorithm.
The stability of the proposed algorithm is then discussed.
The proposed algorithm is tested and validated on synthetic signals.
Simulation results for the proposed algorithm are also presented.
The proposed algorithm is tested and implemented on various parameters.
The applicability and advantages of the proposed algorithm are demonstrated by experimental results.
The proposed algorithm was efficient and assertive to this cutting technique.
A convergence analysis and a robustness study of the proposed algorithm are also made.
In the proposed algorithm.
See also
A simple academic example is presented to show the validity of the proposed algorithm.
The functioning of the proposed algorithm is illustrated by simulations.
The experimental results demonstrate the effectiveness and efficiency of the proposed algorithm.
The proposed algorithm outperforms its state of the art counterparts.
Simulations of a case study performed using OPNET have highlighted the efficiency of the proposed algorithm.
The performance of the proposed algorithm is illustrated by several numerical examples.
Section 2 describes in detail the proposed algorithm.
It is worth noting that the proposed algorithm does not provide an optimum solution.
Therefore, the overall computational complexity of the proposed algorithm is.
Segmentation performances of the proposed algorithm are compared with those of conventional approaches.
Several simulations are performed, proving the efficiency and effectiveness of the proposed algorithm.
The proposed algorithm consists of a combination of several phases and several levels.
AM suggested the proposed algorithm.
The second proposed algorithm is based on the topical relationships between documents.
In this work, we firstly validated the proposed algorithm in a serial structure.
The proposed algorithm has been applied to simulated data to test its performances.
However, for big amount of data, the proposed algorithm runtime becomes unfeasible.
Thus the proposed algorithm complies with the rules given for consolidation.
With the procedures utilized, we formulated a proposed algorithm for surveillance of TB-related deaths.
The first proposed algorithm is a simple approach that uses a face detector to identif.
We then apply a contrario detection, and study the limit of detection of the proposed algorithm.
We believe that the proposed algorithm is a good candidate for robust beamforming.
Finally, a numerical example is given to show the structure and efficiency of the proposed algorithm.
The proposed algorithm indicates valid solutions through a single presentation of dedados basis.
A last contribution, in this thesis, consists on a proposed algorithm for step detection using fuzzy logic.
The proposed algorithm showed very similar performance to traditional methods of pattern recognition.
In addition, for the inactive time slots, the proposed algorithm directly reduces the complexity.
The proposed algorithm uses a continuous field of vectors because of the considered model.
The sub-mode is selected according to the proposed algorithm irrespective to the RLC mode.
The proposed algorithm for extracting and describing keypoints is designed towards efficiency.
We reported a comprehensive experimental evaluation of the proposed algorithm over 928 cardiac segments obtained from 58 subjects.
The proposed algorithm of the photometric stereo reconstruction uses the alternating optimization principle.
In Section 3, we describe the proposed algorithm.
The proposed algorithm adjusts the structural grid to the changes made to the shape.
FIG . 7 shows the result image filtered by the proposed algorithm.
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