Titlebook: Resource Management in Wireless Networking; Mihaela Cardei,Ionut Cardei,Ding-Zhu Du Book 2005 Springer-Verlag US 2005 Bluetooth.Performanc

災(zāi)禍

可用

Fang Liu,Kai Xing,Xiuzhen Cheng,Shmuel Rotenstreichctor, and water aquifer draw-down predictions. Feature engineering presents the opportunity to integrate heterogeneity information, but traditional heterogeneity engineered features like Dykstra-Parsons and Lorenz coefficients ignore the spatial context; therefore, are not sufficient to quantify the

cruise

Eylem Ekicictor, and water aquifer draw-down predictions. Feature engineering presents the opportunity to integrate heterogeneity information, but traditional heterogeneity engineered features like Dykstra-Parsons and Lorenz coefficients ignore the spatial context; therefore, are not sufficient to quantify the

critic

Imad Jawhar,Jie Wue of geologically-derived training images to reproduce the desired heterogeneity. A variety of different training image types are often proposed for use in MPS modelling, including object-based, surface-based and process-based models. The purpose of the training image is to provide a description of

無目標(biāo)

Mario Gerla,Kaixin Xuior distributions are then updated into posterior distributions using the nearby hard and soft data. The posterior distributions provide models of uncertainty prevailing at unsampled locations..The Markov-Bayes algorithm for such updating can be seen as a cokriging capitalizing on spatial correlatio

殘忍

AGGER

VEN

Dmitri D. Perkins,Ramesh Tumati,Hongyi Wu,Ikhlas Ajbar..These two-point statistics consist of second-order moments that are defined by a variogram. The statistics describe the lateral continuity behaviour of the models. It can be shown that the sequential sampling method correctly generates samples from a probability density function (pdf), when this p

headlong

極端的正確性