Advances in Electrical and Computer EngineeringISSN: 1582-7445, e-ISSN: 1844-7600
Special Section in Issue 4/2017 - November 2017
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. The overall aim of this special section is to collect state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data. Proposed submissions should be original, unpublished, and novel in-depth research that makes significant methodological or application contributions. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf. (201702161620)
Guest Editor: Radu-Emil PRECUP
Peer review is a key element of the scientific publication process, as it ensures research results are properly verified before being published and improves the overall quality of the articles. We are strengthening our review team in the fields of Artificial Intelligence, Pattern Recognition, Computer Networks, Data Transmissions, and Electronics. Volunteers in other fields covered by AECE are also welcome. If you are interested in volunteer as a peer review, you are asked to send a letter of intention and a list of the most relevant 5 (five) published papers (please include the DOI of each paper) to email@example.com. Please mention your RESEARCHERID, SCOPUS Author ID, and/or ORCID links in your message. Only selected applicants will be contacted. (201612171525)
The Journal policy is to publish high quality original scientific articles with permission from the Editorial Board. The principal aim of the journal is to bring together the latest research and development in various fields of science and technology such as electrical engineering, electrotechnics, electric machines modeling and design, control of electric drive systems, non-conventional energy conversion, sensors, electronics, communications, data transmission, energy converters, transducers modeling and design, electro-physics, nanotechnology, computer science, artificial intelligence, pattern recognition, knowledge engineering, process control theory and applications, distributed systems, computer networks and software engineering. Papers must be written in English and they must not have been previously published and should not be under consideration for publication elsewhere.
In sixteen years of existence, researchers from more than 50 countries have chosen AECE journal for the submission of their manuscripts and high profile researchers from 15 countries have joined AECE International Scientific Board. The Editorial Board is looking forward to further improve the quality of AECE journal and to broaden the impact of AECE articles.
We provide on-line full-text free access to all published papers. Permanent links to published papers are maintained by using the Digital Object Identifier (DOI) system by CrossRef.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
system - power - control - fault - network - load - model - frequency - converter - transformer - harmonic - computer - algorithm - cancer - simulation - computer - estimate - optimal control - expert system - electromagnetic - interference - data transmission - neural network - electrocardiogram signal - model - cluster - design - wavelet - antenna - wireless sensor - coupling - robust - noise - signal processing - system identification - translation - nonlinear systems - induction motor - speed controller - shape optimization - fuzzy network - wireless sensor network