Different approaches have been proposed for feature selection to obtain suitable features subset among all features. These methods search feature space for feature subsets which satisfies some criteria or optimizes several objective functions. The objective functions are divided into two main groups: filter and wrapper methods.  In filter methods, features subsets are selected due to some measu...

Cocoa occupies 6 million hectares in humid coastal West Africa where 70% of the world supply is grown, 90% of which is produced on 2 million family farms of 2 hectares or less. Here, at least 16 million people depend on cocoa but earn only $100/person/year from the crop. There is need to optimize the farming system, minimize the environmental impact of technologies, and improve socio-economic d...

—Hyperspectral imagery from EO-1 Hyperion and AVIRIS were used in conjunction with continuous forest inventory (CFI) data to map detailed forest composition in the state forests of Western Maryland. We developed a hierarchical vegetation classification that conformed to the National Vegetation Classification Standard (NVCS) at the Alliance level and mapped these forest types as a function of hy...

Green House Gas (GHG) emissions from corporate activities are gradually becoming a mainstream management issue for businesses. The GHG Protocol Scope 3 Corporate Standard has been adopted as the international standard to report a corporation’s overall emission profile of their value chain activities. Through Scope 3 Corporate Standard, companies can recognize potential emissions and associated ...

This paper discusses multi-period stochastic joint inventory and pricing models when the decision maker is risk and ambiguity averse. We study infinite horizon models with discounted and long run average optimization criteria. The main result of this paper is to establish the optimality of stationary (s, S, p) policies for the infinite horizon inventory and pricing models, for which the existin...

Configuring a supply chain for new products involves selecting how to source each stage in the supply chain given several alternatives that vary in cost, lead time, and other measures. One must also determine the best overall strategy for deploying safety stocks across the supply chain so as to buffer against demand uncertainty. Traditionally, this has been done based on costs (inventory cost, ...

This study proposes an Environment Sound Classification Task (ESC) model that includes numerous element channels given as a contribution to Machine learning with Attention instrument. ESC is significant testing issue. The interest in the paper lies utilizing different part involving MFCCs-Mel Frequency Cepstral Coefficients mutual module speaker detection and artificial speech systems. LPCs-Lin...

This paper presents a solution based on the unsupervised classification for the multiple-criteria analysis problems of data, where the characteristics and the number of clusters are not predefined, and the objects of data sets are described by several criteria, and the latter can be contradictory, of different nature and varied weights. This work focuses on two different tracks of research, the...