alexa

GET THE APP

Dersleri yüzünden oldukça stresli bir ruh haline sikiş hikayeleri bürünüp özel matematik dersinden önce rahatlayabilmek için amatör pornolar kendisini yatak odasına kapatan genç adam telefonundan porno resimleri açtığı porno filmini keyifle seyir ederek yatağını mobil porno okşar ruh dinlendirici olduğunu iddia ettikleri özel sex resim bir masaj salonunda çalışan genç masör hem sağlık hem de huzur sikiş için gelip masaj yaptıracak olan kadını gördüğünde porn nutku tutulur tüm gün boyu seksi lezbiyenleri sikiş dikizleyerek onları en savunmasız anlarında fotoğraflayan azılı erkek lavaboya geçerek fotoğraflara bakıp koca yarağını keyifle okşamaya başlar
Engineering Modelling of Data Acquisition and Digital Instrumentation for Intelligent Learning and Recognition | OMICS International | Abstract
ISSN: 2090-4967

Biosensors Journal
Open Access

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Editorial

Engineering Modelling of Data Acquisition and Digital Instrumentation for Intelligent Learning and Recognition

Jun Qin1* and Lin Xu2

1Department of Electrical and Computer Engineering, Southern Illinois University, Carbondale, IL 62901, USA

2College of Computer and Control Engineering, Nankai University, Tianjin, China

Corresponding Author:
Jun Qin
Ph.D. Assistant Professor
Department of Electrical and Computer Engineering
Southern Illinois University,Carbondale
Mail Code 6603, 1230 Lincoln Drive, Carbondale, IL 62901, USA
Tel: (618)453-3460
Fax: (618) 453-79
E-mail: [email protected]

Received date: March 06, 2015; Accepted date: March 10, 2015; Published date: March 30, 2015

Citation: Qin J, Xu L (2015) Engineering Modelling of Data Acquisition and Digital Instrumentation for Intelligent Learning and Recognition. Biosens J 4:e103. doi:10.4172/2090-4967.1000e103

Copyright: © 2015 Qin J, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

In data acquisition and digital instrumentation fields, it is essential to understand the learning and recognition to acquire data and information of objects to be studied. In recent years, engineering modelling and simulation contribute greatly to the understanding of intelligent learning and recognition problems. The ability to learn is one of the central features of intelligence, which makes it an important concern for both cognitive psychology and artificial intelligence. In this paper, definitions and modelling aspects of learning are discussed. Fundamentals of learning and recognition and their applications are investigated and described. Illustrations are given to demonstrate the increasing applications of learning and recognition with engineering modelling in data acquisition and digital instrumentation fields.

Keywords

Top