This article is concerned with a nonparametric regression problem in which the input variables and errors are autocorrelated time. The motivation for research stems from modeling wind power curves. Using existing model selection methods, like cross-validation, results overfitting presence of temporal autocorrelation. phenomenon referred to as overfitting, causes loss performance while predictin...

The estimation of power curve is the central task for efficient operation and prediction wind generation. It often case, however, that actual data exhibit a great deal variations in output with respect to speed, thus necessitates detection proper treatment outliers. This study proposes novel procedure outlier elimination estimating curves farms by employing clustering algorithms vector quantiza...

Elliptic Curve Cryptography (ECC) has found wide applications in smart cards and embedded systems. Point multiplication plays a critical role in ECC. Many efficient point multiplication methods have been proposed. One of them is the comb method [5] which is much more efficient than other methods if precomputation points are calculated in advance or elsewhere. Unfortunately, Many efficient point...

We introduce new modulus scaling techniques for transforming a class of primes into special forms which enables efficient arithmetic. The scaling technique may be used to improve multiplication and inversion in finite fields. We present an efficient inversion algorithm that utilizes the structure of scaled modulus. Our inversion algorithm exhibits superior performance to the Euclidean algorithm...