Forest types mapping, is one of the most necessary elements in the forest management and silviculture treatments. Traditional methods such as field surveys are almost time-consuming and cost-intensive. Improvements in remote sensing data sources and classification –estimation methods are preparing new opportunities for obtaining more accurate forest biophysical attributes maps. This research co...

Grapeful, a grocery app, is an online store that not only simplifies shopping but also provides seamless transition from pantry/grocery planning to purchasing. The user can browse through various categories of groceries, view items, add them the cart (manually), customize quantity, and pay during checkout. Our list feature enables users directly items their cart. will scan list, app fill with l...

We present advances in Bayesian modeling and computation for CART (classification and regression tree) models. The modeling innovations include a formal prior distributional structure for tree generation – the pinball prior – that allows for the combination of an explicit specification of a distribution for both the tree size and the tree shape. The core computational innovations involve a nove...

Decision tree study is a predictive modelling tool that used over many grounds. It constructed through an algorithmic technique divided the dataset in different methods created on varied conditions. Decisions trees are extreme dominant algorithms drop under set of supervised algorithms. However, Trees appearance modest and natural, there nothing identical near how algorithm drives nearby proced...

In this paper, we extend the sliding mode idea to a class of unmatched uncertain variable structure systems. This method is achieved with introducing a new terminal sliding variable and the finite time stability of proposed method is proved using a new particular finite time condition in both reaching and sliding phases. In reaching phase new sliding mode controller is derived to guarantee the ...

As organizations spend a significant amount of their resources on online channels, it is vitally important to understand the effects of this cost on consumer behavior. The author developed and empirically tested an integrated model combining the effects of organizational efforts on consumer concerns, process satisfaction, and purchase intentions. The results of this effort suggested that consum...

A study was conducted for a period of 60 days to understand the socio-economic status of the horse keepers and explore the opportunity of Indigenous horse rearing in 22 villages of Mymensingh, Tangail, Sherpur and Jamalpur districts in Bangladesh. A total of 200 horse keeping households were surveyed through one-to-one interview. A pre-tested questionnaire was used to collect information. Farme...

Margin adaptive risk bounds for Classification and Regression Trees (CART, Breiman et. al. 1984) classifiers are obtained in the binary supervised classification framework. These risk bounds are obtained conditionally on the construction of the maximal deep binary tree and permit to prove that the linear penalty used in the CART pruning algorithm is valid under margin condition. It is also show...

Nonsmooth local optimization problems occur in many fields, including engineering, mathematics, and economics. In economics, nonsmooth problems can be found in finance, mathematical economics and production theory. Examples include, nonsmooth utility maximization and exact penalty functions. However there are few convergent optimization algorithms to solve general nonsmooth or discontinuous pro...