Special issue/Cleaning. Technique of electronic cleaning.
نویسندگان
چکیده
منابع مشابه
Special issue on electronic cigarettes
The recent rise in public interest in electronic nicotine delivery systems (ENDS) such as electronic cigarettes (e-cigarettes) has attracted significant attention from health practitioners, policy makers and regulatory authorities, investigative researchers, and the private industry. Tobacco use is clearly preventable, and according to health authorities at regulatory agencies is the single lar...
متن کاملSpecial Issue on Towards Quality Data with Fusion and Cleaning
Web users increasingly treat the Web as a very large knowledge base and use it to acquire all kinds of knowledge. In this article, we introduce a method that leverages the information on the Web to determine the truthfulness of any statement that attempts to state a fact. This method accomplishes the goal by checking whether there is an alternative statement that is more likely to be truthful. ...
متن کاملSpecial Issue: Economics of Electronic Commerce
Ravi Bapna is the Board of Overseers Professor of Information and Decision Sciences at the Carlson School of Management, university of Minnesota. he received his Ph.D. from the university of Connecticut. Dr. Bapna is the founding academic co-director of the university of Minnesota’s Social Media and Business Analytics Collaborative (SOBACO). his research interests are in the areas of economics ...
متن کاملinvestigation of the electronic properties of carbon and iii-v nanotubes
boron nitride semiconducting zigzag swcnt, $b_{cb}$$n_{cn}$$c_{1-cb-cn}$, as a potential candidate for making nanoelectronic devices was examined. in contrast to the previous dft calculations, wherein just one boron and nitrogen doping configuration have been considered, here for the average over all possible configurations, density of states (dos) was calculated in terms of boron and nitrogen ...
15 صفحه اولAn Evolving Cascade Neural Network Technique for Cleaning Sleep Electroencephalograms
Evolving Cascade Neural Networks (ECNNs) and a new training algorithm capable of selecting informative features are described. The ECNN initially learns with one input node and then evolves by adding new inputs as well as new hidden neurons. The resultant ECNN has a near minimal number of hidden neurons and inputs. The algorithm is successfully used for training ECNN to recognise artefacts in s...
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ژورنال
عنوان ژورنال: Journal of the Surface Finishing Society of Japan
سال: 1991
ISSN: 0915-1869,1884-3409
DOI: 10.4139/sfj.42.380