Sentence examples for most proposed algorithms from inspiring English sources

However, most proposed algorithms deploy fixed fuzzy membership functions (FMFs).

So far, most proposed algorithms have been designed to minimize the squared error of the channel estimate, e.g., [4 9].

To fulfill this requirement, most proposed algorithms try to extract image features which are invariant to slight global modifications like compression or filtering.

In many real world situations, data with multiple representations or views are frequently encountered, and most proposed algorithms for such learning situations require that all the multi-view data should be paired.

(1) Equal distribution of hash values holds (1)   (2) Pairwise independence for visually different images and : holds (2)   (3) Invariance for visually similar images and holds (3) To fulfill this requirement, most proposed algorithms try to extract image features which are invariant to slight global modifications like compression or filtering.

Hence, most of the proposed algorithms are heuristics, and less work was directed toward optimal solutions.

Most of the proposed algorithms in the literature use static definition of encrypted part and encryption parameters.

For most of the proposed algorithms, the knowledge of transmission channel statistical properties is essential to detect signals and retrieve data.

Experiments show that for most instances the proposed algorithms are superior to the CPLEX solver and other construction & improvement algorithms in both solution preciseness and computation time.

Most of the proposed algorithms rely on adjusting a range of decision variables related to social and topological aspects of the network.

Quite a lot research has been carried out in this regard in which for most of the proposed algorithms, kriging variance minimization as a criterion for uncertainty assessment is defined as objective function and the problem could be solved through optimization methods.