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267.184  Articles
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Feature extraction (FE) or dimensionality reduction (DR) plays quite an important role in the field of pattern recognition. Feature extraction aims to reduce the dimensionality of the high-dimensional dataset to enhance the classification accuracy and fos... see more

This study was conducted in the Tolon district of Ghana to determine small-scale farmers' perceptions, motivation and problems faced by them in the adoption of agroforestry practices. Primary data were collected through a pre-structured questionnaire from... see more

Problem-Based Learning (PBL) is an inductive learning approach that uses a realistic problem as the starting point of learning. Unlike in medical education, which is more easily adaptable to PBL, implementing PBL in engineering courses in the traditional... see more

A pivotal skill that needs focus and concentration for efficient communication is speaking. It is taken as one of the toughest skill for learning of language. However, the issue to attain speaking proficiency becomes more problematic in Second language co... see more

One of the problems that occur when working with regression models is regarding the sample size; once the statistical methods used in inferential analyzes are asymptotic if the sample is small the analysis may be compromised because the estimates will be ... see more

During June 1997, bottom sediment samples were collected at 76 stations on a rectangular grid in a small port (Lirquén Harbor, south-central Chile) facing siltation problems. The spatial changes in grain-size parameters, analyzed by using three different ... see more

Introduction: The only source of sustainable competitive advantage of an organization is its ability to learn sooner than the competition. The sector of micro, small and medium-sized enterprises (MSMES) represents more than 98% of all enterprises and prov... see more

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