Spam is an unwanted email that is harmful to communications around the world. Spam leads to a growing problem in a personal email, so it would be essential to detect it. Machine learning is very useful to solve this problem as it shows good results in order to learn all the requisite patterns for classification due to its adaptive existence. Nonetheless, in spam detection, there are a large num...

Wc prescnt a gcncral approach to approximating positive timc-frcqucnc:y distrihutions (TFDs) through nonlinear combinations of spectrograms. Closed-form solutions for the combinalions arc ohtaincd v ia optimization of entropy functionals suhjcct to an cncrgy constraint. Wc apply two such Combinations to gcncrating ,approximate TFDs for whale sounds and specch. Through thcse applications, it can...

The conventional line transect approach of estimating effective search width from the perpendicular distance distribution is inappropriate in certain types of surveys, e.g., when an unknown fraction of the animals on the track line is detected, the animals can be observed only at discrete points in time, there are errors in positional measurements, and covariate heterogeneity exists in detectab...

Abstract: The vocalization source level distributions and pulse compression gains are estimated for four distinct baleen whale species in the Gulf of Maine: fin, sei, minke and an unidentified baleen whale species. The vocalizations were received on a large-aperture densely-sampled coherent hydrophone array system useful for monitoring marine mammals over instantaneous wide areas via the passiv...

This paper introduced a new swarm based optimization technique for tuning Power System Stabilizer (PSS) that attached to a synchronous generator in a single machine infinite bus (SMIB) system. PSS which is installed with Lead-Lag (LL) controller is introduced to elevate the damping capability of the generator in the low frequency mode. For tuning PSS-LL parameters, a new technique called Whale ...

The insurance industry is based on risk calculations, high profits, and detailed information. predictive models that companies utilize allow to make accurate decisions about the sector. This research focuses improving accuracy of predicting customers Property Casualty (P&C) insurance. In this study, a reliable quantitative analytical big data method has been developed, Hybrid Grey Wolf Whal...

Water-cycle algorithm based on evaporation rate (ErWCA) is a powerful enhanced version of the water-cycle (WCA) metaheuristics algorithm. ErWCA, like other algorithms, may still fall in sub-optimal region and have slow convergence, especially high-dimensional tasks problems. This paper suggests an ErWCA (EErWCA) version, which embeds local escaping operator (LEO) as internal updating process. a...