in this paper a novel fuzzy scheme for medical x-ray image classification is presented. in this method, any image is partitioned in to 25 overlapping subimages and then shape-texture features are extracted from shape and directional information extracted from any subimage. in the classification stage, we apply a fuzzy membership to any subimage with respect to euclidean distance between feature...

Genetically targeted anatomical and behavioral characterization of the cornu ammonis 2 (CA2) subfield of the mouse hippocampus

Time-series features are the characteristics of data periodically collected over time. The calculation time-series helps in understanding underlying patterns and structure data, as well visualizing data. manual selection feature from a large temporal dataset time-consuming. It requires researchers to consider several signal-processing algorithms analysis methods identify extract meaningful give...

We propose in this work a novel acoustic phonetic study for Arabic people suffering from language disabilities and non-native learners of Arabic language to classify Arabic continuous speech to pathological or healthy and to identify phonemes that pose pronunciation problems (case of pathological speeches). The main idea can be summarized in comparing between the phonetic model reference to Ara...

Early detection of lung cancer can help for improving the survival rate patients. Biomedical imaging tools such as computed tomography (CT) image was utilized to proper identification and positioning cancer. The recently developed deep learning (DL) models be employed effectual classification diseases. This article introduces novel enabled CAD technique using biomedical CT image, named DLCADLC-...

Coronary artery disease (CAD) is the most dangerous heart disease which may lead to sudden cardiac death. However, CAD diagnoses are quite expensive and time-consuming procedures which a patient need to go through. The aim of our paper is to present a unique review of state-of-the-art methods up to 2017 for automatic CAD classification. The protocol of review methods is identifying best methods...

The article includes information about the advantages of support vector machines in DNA microarray data classification. The analysis of the data was performed on the set of 108 microarrays representing different types of thyroid cancer and healthy thyroid tissue samples. The idea of application of PCA based SVM evolved from the studies on explanation of biological variability sources in the Aff...

In answering questions from [7] we prove a triangulation result that is of independent interest. In more detail, let R be an o-minimal field with a proper convex subring V , and let st : V → k be the corresponding standard part map. Under a mild assumption on (R, V) we show that definable sets X ⊆ V n admit a triangulation that induces a triangulation of its standard part st(X) ⊆ k n .

Although language-impaired children have been observed to follow many nor­ mal language acquisition patterns, research to date has not fully explored the re­ lationships between various linguistic domains. The hypotheses investigated in this study are that language-impaired children produce fewer logical proposi­ tions per utterance and evidence less control of formal syntactic markers. lan­ gu...