<html><body><div style="color:#000; background-color:#fff; font-family:times new roman, new york, times, serif;font-size:12pt"><div><span></span></div><table cellpadding="0" cellspacing="0" width="100%" style="color: rgb(17, 17, 17); font-family: verdana, arial, helvetica, sans-serif; font-size: 13px;"><tbody><tr><td align="center"><h3 style="font-weight: normal; font-size: 16px; margin: 0px 0px 5px; padding: 0px;"></h3></td></tr><tr><td align="center"><div class="cfp" align="left" style="background-color: rgb(246, 246, 246); padding: 10px;"><div style="text-align: center;"><span style="background-color: rgb(246, 246, 246);">********************* CALL FOR PAPERS ********************* </span></div><br>SUBMISSION DUE DATE: October 31, 2013 <br><br>SPECIAL ISSUE ON Machine learning techniques for Medical Applications <br><br>International Journal of Medical Engineering and Informatics (IJMEI) <br><br>Guest Editors: <br>Asst. Prof.
Ahmad Taher Azar, Benha University, Egypt <br>Prof. Aboul-Ella Hassanien, Cairo University, Egypt <br><br>INTRODUCTION <br><br>Machine Learning research has been extremely active the last few years. The result is a large number of very accurate and efficient algorithms that are quite easy to use for a practitioner. It seems rewarding and almost mandatory for (computer) scientist and engineers to learn how and where Machine Learning can help to automate tasks or provide predictions where humans have difficulties to comprehend large amounts of data. The long list of examples where Machine Learning techniques were successfully applied includes: Text classification and categorization, network intrusion detection, Bioinformatics, brain computer interfacing, monitoring of electric appliances, optimization of hard disk caching strategies and disk spin-down prediction, drug discovery, high-energy physics particle classification, recognition of
hand writing, natural scene analysis etc. <br><br>OBJECTIVE OF THE SPECIAL ISSUE <br><br>The objective of this special issue is to provide the latest advancements in the highly interdisciplinary research and development area of Machine Learning techniques in medical applications. This special issue focuses on major trends and challenges in this area, and it presents work aimed to identify new techniques. We are looking for original, high-quality submissions on innovative research and development in all aspects of Machine Learning. <br><br>RECOMMENDED TOPICS <br><br>The editors seek submissions on the following topics in Machine Learning, but are not limited to: <br>• Artificial Intelligence <br>• Complexity <br>• Computational Intelligence <br>• Computational biology <br>• Image Processing <br>• Robotics <br>• Recognition <br>• Bioinformatics <br>• Biomedical
engineering <br>• Biometrics <br>• Expert systems <br>• Health care engineering <br>• Medical diagnosis <br>• Mobile computing <br>• Network security <br>• Data Mining <br>• Knowledge Representation <br>• Cognitive Computing <br>Submission procedure and guidelines <br><br>Researchers, Scientists and practitioners are invited to submit papers for this special issue on '' Machine learning techniques: Trends and Applications'' on or before October 31, 2013. All submissions must be original and may not be under review by another publication and one author (co-author) should not have multiple papers in an issue. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at: <br>http://www.inderscience.com/info/inauthors/index.php <br><br>IMPORTANT DATES <br>Submission deadline: October 31, 2013 <br>First decision notification: December
31, 2013 <br>Submission of revised papers: January 31, 2014 <br>Final decision notification: February 15, 2014 <br>Publication: 2014 <br><br><br>All submissions should be directed to the attention of: <br>Asst. Prof. Ahmad Taher Azar, <br>Prof. Aboul Ella Hassanien <br>E-mails: ahmad_t_azar@ieee.org, ahmad.t.azar@gmail.com, aboitcairo@gmail.com <br><br><br><div style="text-align: center;"><span style="background-color: rgb(246, 246, 246);">* * * * * * </span></div></div></td></tr></tbody></table><div></div><div> </div><div><span style="font-weight: bold; color: rgb(0, 127, 64); font-family: times, serif;">Best Regards </span></div><div><font face="bookman old style, new york, times, serif"><b><font color="#800000"><font size="2"></font></font></b></font></div><div><hr></div><div><font face="bookman old style, new york, times, serif"><b><font color="#800000"></font></b></font></div><div><font
face="bookman old style, new york, times, serif" style="font-size:13px;"><b><font color="#800000">Ahmad Taher Azar, </font><font color="#00007f">PhD, IEEE Member</font></b></font></div><div class="MsoNoSpacing" style="text-align: left; direction: ltr; unicode-bidi: embed; font-weight: bold; font-size: 13px; background-color: transparent; font-style: normal; font-family: times, serif;"><div class="yiv1220712494MsoNoSpacing" style="color:rgb(0, 0, 127);line-height:normal;direction:ltr;unicode-bidi:embed;background-color:transparent;">--------------------------------------------------------------------</div></div></div></body></html>