This paper proposes #Breastcollar an exponential estimator of a population mean under double sampling using one auxiliary variable.The proposed estimator is modified from the estimator of Khatua and Misha (2013) and Ozgul and Cingi (2014).The bias and mean square error of the proposed estimator are derived under the second order of approximation.Th
Rock burst represents a very dangerous phenomenon in deep underground mining, as well as for underground structures in unfavourable conditions (great depth, high horizontal stress, proximity of major tectonic structures, etc.).The rock burst problem relates to the natural and mining conditions of the rock mass.The evaluation of rock burst 4 Way Hot
We consider the problem of nonparametric density estimation where estimates are constrained to be unimodal.Though several methods have been proposed to achieve this end, each of them has its own drawbacks and none of them have readily-available computer codes.The approach of Braun and Hall (2001), where a kernel density estimatoris Cylinder Head mo
A variety of modern AI products essentially require raw user data for training diverse machine learning models.With the increasing concern on data privacy, federated learning, a decentralized learning framework, enables privacy-preserving training of models by iteratively aggregating model updates from participants, instead of aggregating raw data.
Deep learning-based visuomotor control for manipulation are studied recently, which uses a neural network to learn the mapping from images to robotic actions directly.Most previous methods assume there is only one target object in the image.When multiple target objects are present, they are normally regarded as multi-task problems.One-hot vectors a