Tropical cyclones are intense circular storms that cause significant economic and life losses in the coastal areas of equatorial region. Various statistical models were proposed to forecast tropical cyclone’s potential path. This study has a stacked ensemble-based method increase temporal data’s Cyclone path prediction effectiveness. The can be divided into two phases; first phase, Long Short-T...

One of the most important prediction problems in finite population is the prediction of a linear function of characteristic values of a finite population. In this paper the admissibility of linear predictors of an arbitrary linear function of characteristic values in a finite population under reflected normal loss function is considered. Under the super-population model, we obtain the condition...

Problem statement: This study presents a source based reactive protocol called “Energy Aware Multiple Constraints QoS Routing Protocol with Dynamic Mobility Prediction (EMQRPDM)” for MANET. It is an enhanced version of our previous protocol called “Power aware multiple QoS constraints routing protocol with mobility prediction (PMQRPMP)”. It addresses the issues such as routing, mobility and pow...

In this study, the progressive collapse potential of seismically designed steel plate shear wall (SPSW) systems is investigated using the alternate path method, and their performances are compared with those of the conventional special moment frame (SMF) systems. Nonlinear static and dynamic analyses are conducted to follow the progressive collapse of the structures, and their ability of absorb...

In this paper we make use of a large set of measurements from a production wireless network in rural New Zealand to analyze the performance of 28 path loss prediction models, published over the course of 60 years. We propose five metrics to determine the performance of each model. We show that the state of the art, even for the “simple” case of rural environments, is surprisingly ill-equipped t...

In this paper accurate estimation of parameters, higher order state space prediction methods and Extended Kalman filter (EKF) for modeling shadow power in wireless mobile communications are developed. Path-loss parameter estimation models are compared and evaluated. Shadow power estimation methods in wireless cellular communications are very important for use in power control of mobile device a...