In this paper we propose a new method for the automatic recognition of state behavioral sleep (BS) and waking (WS) in freely moving rats using their electrocorticographic (ECoG) data. Three-channels ECoG signals were recorded from frontal left, right occipital cortical areas. We employed simple artificial neural network (ANN), which mean values standard deviations two or three channels used as ...

We have combined an artificial neural network (ANN) character classifier with context-driven search over character segmentation, word segmentation, and word recognition hypotheses to provide robust recognition of hand-printed English text in new models of Apple Computer's Newton MessagePad. We present some innovations in the training and use of ANNs as character classifiers for word recognition...

We present the results of an information theory-based approach to select an optimal subset of features for the prediction of protein model quality. The optimal subset of features was calculated by means of a backward selection procedure. The performances of a probabilistic classifier modeled by means of a Kernel Probability Density Estimation method (KPDE) were compared with those of a feed-for...

Chinese liquors are internationally well-known fermentative alcoholic beverages. They have unique flavors attributable to the use of various bacteria and fungi, raw materials, and production processes. Developing a novel, rapid, and reliable method to identify multiple Chinese liquors is of positive significance. This paper presents a pattern recognition system for classifying ten brands of Chi...

Introduction: Building upon our previous work on an automated mineral classifier [1], we are working to extend its functionality towards classification of rocks. The current work focuses on building an automated classifier using Raman spectral data to identify key minerals contained in igneous rocks. The ability to identify minerals in igneous rock samples provides inportant information on thei...

Globally, A leading cause of death is heart disease and a serious public health concern. The anomalies in sound appears before the symptoms. sounds are type auscultation, which process dealing with body that generates due to mechanical vibrations organs, Auscultation potential method medical science detect abnormalities case suspicion patient follows up referral for other evaluations, such as a...

Human behavior pattern recognition exploited using Artificial Neural Networks (ANN) is at the core of Intelligence (AI) classification applications. School trip transport forecasting mode selection based upon ANN ability provided an easy-to-use scientific toolkit for sustainable urban policies designing and implementation. The paper capitalized acknowledged to recognize classify patterns leadin...

Feature selection to reduce redundancies for efficient classification is necessary but usually time consuming and challenging. This paper proposed a comprehensive analysis optimum feature the most classifier accurate urban area mapping. To this end, 136 multiscale textural features alongside panchromatic band were initially extracted from WorldView-2, GeoEye-3, QuickBird satellite images. The w...

discrimination between iron deficiency (ida) anemia and β-thalassemia trait (β-tt) is a time consuming and costly problem. because, they have approximate similar effects on routine blood test indices, in some cases, the complementary tests, which are expensive and time consuming, would be needed for differentiate the anemia. complete blood count (cbc) is a fast, inexpensive, and accessible medi...