In this paper, we introduce the notion of soft (apr P , aprP ) (resp, (Apr P , aprP ), (aprP , AprP ), (AprP , AprP )) rough approximations. Mathematics Subject Classification: 08A05, 54A05, 94A15

This research implements an intelligent control strategy in a synchronous rectifier buck converter to assure that the operates soft-switching mode. The is analysed and two different switching modes are presented: Hard-switching Soft-Switching. Afterwards, model implemented with aim of identifying classifying mode power converter. implementation based on classification methods through algorithms...

Skin and soft-tissue infections (SSTIs) are a common presenting problem in both inpatients and outpatients. SSTIs have been broadly classified as complicated or uncomplicated, but specific disease processes and patient characteristics are important in guiding clinical management. Early recognition of the extent of infection, close follow-up, and familiarity with local antibiotic susceptibility ...

A new identification method for screening patients with congestive heart failure (CHF) from normal controls is investigated in this paper using spectral analysis and artificial neural networks. This method is based on approximate spectral density estimation of RRI data using the soft decision sub-band decomposition technique. The data used in this work is obtained from MIT databases. A trial da...

A new EMG pattern classification method based on soft computing techniques is proposed to help the disabled and the elderly handle rehabilitation robotic arm systems. First, it is shown that EMG is more useful than existing input devices, such as voice, a laser pointer, and a keypad in view of naturality, extensibility, and applicability. Next, through soft computing techniques, such as the fuz...

In this letter, a new segment-level speech/nonspeech classification method based on the Poisson polling technique is proposed. The proposed method makes two modifications from the baseline Poisson polling method to further improve the classification accuracy. One of them is to employ Poisson mixture models to more accurately represent various segmental patterns of the observed frequencies for f...

Modern communication systems require robust, adaptable and high performance decoders for efficient data transmission. Support Vector Machine (SVM) is a margin based classification and regression technique. In this paper, decoding of Bose Chaudhuri Hocquenghem codes has been approached as a multi-class classification problem using SVM. In conventional decoding algorithms, the procedure for decod...

Most statistical approaches to modeling text implicitly assume that informative words are rare. This assumption is usually appropriate for topical retrieval and classification tasks; however, in non-topical classification and soft-clustering problems where classes and latent variables relate to sentiment or author, informative words can be frequent. In this paper we present a comprehensive set ...

WHIRL is an extension of relational databases that can perform “soft joins” based on the similarity of textual identifiers; these soft joins extend the traditional operation of joining tables based on the equivalence of atomic values. This paper evaluates WHIRL on a number of inductive classification tasks using data from the World Wide Web. We show that although WHIRL is designed for more gene...