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Journal of Intelligent Systems Volume 20 Issue 3

Subject Areas: Artificial Intelligence; ;
Publisher: Walter de Gruyter - de Gruyter
ISSN: 2191-026X
SJR: 21

LitStream

Journal Article

Generalized Bayesian Inference Nets Model and Diagnosis of Cardiovascular Diseases

Sekar, Booma Devi; Dong, Mingchui; Dou, Jiayi

2011 Journal of Intelligent Systems

doi:10.1515/jisys.2011.012

Abstract A generalized Bayesian inference nets model (GBINM) is proposed to aid researchers to construct Bayesian inference nets for various applications. The benefit of such a model is well demonstrated by applying GBINM in constructing a hierarchical Bayesian fuzzy inference nets (HBFIN) to...
LitStream

Journal Article

Word Extraction and Character Segmentation from Text Lines of Unconstrained Handwritten Bangla Document Images

Sarkar, Ram; Malakar, Samir; Das, Nibaran; Basu, Subhadip; Kundu, Mahantapas; Nasipuri, Mita

2011 Journal of Intelligent Systems

doi:10.1515/jisys.2011.013

Abstract In this paper, a novel approach for word extraction and character segmentation from the handwritten Bangla document images is reported. At first, a modified Run Length Smoothing Algorithm (RLSA), called Spiral Run Length Smearing Algorithm (SRLSA), is applied for the extraction of words...
LitStream

Journal Article

Site Characterization Model Using Support Vector Machine and Ordinary Kriging

Samui, Pijush; Das, Sarat

2011 Journal of Intelligent Systems

doi:10.1515/jisys.2011.014

Abstract In the present study, ordinary kriging and support vector machine (SVM) have been used to develop three dimensional site characterization model of an alluvial site based on standard penetration test (SPT) results. The SVM is a novel type of learning machine based on statistical learning...
LitStream

Journal Article

Automatic Detection of Defects on Periodically Patterned Textures

Asha, V.; Bhajantri, N. U.; Nagabhushan, P.

2011 Journal of Intelligent Systems

doi:10.1515/jisys.2011.015

Abstract Defect detection is a major concern in quality control of various products in industries. This paper presents two different machine-vision based methods for detecting defects on periodically patterned textures. In the first method, input defective image is split into several blocks of...

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