IEEE JSTSP Special Issue on Automatic Assessment of Health Disorders Based on Voice, Speech and Language Processing
Manuscript Due: May 15, 2019
Publication Date: February 2020
CFP Document
Manuscript Due: May 15, 2019
Publication Date: February 2020
CFP Document
Manuscript Due: April 1, 2019
Publication Date: January 2020
CFP Document
If you’ve ever been to the emergency room due to an injury, chances are you’ve had a routine encounter with what is in fact a wonder of the modern age: Magnetic Resonance Imaging, or MRI. Advancements in medical imaging allow us to study parts of the body, including the brain, to an extent unprecedented in the history of medical science.
The International Institute for Smart Transportation, Infrastructure, Finance and Computing (IISTIFC) affiliated with the School of Smart Cities (SSC) at South China University of Technology (SCUT), Guangzhou, China invites applicants to fill tenure track/tenured Assistant/Associate/Full Professor faculty positions on Guangzhou International Campus for conducting interdisciplinary engineering education and cutting-edge research. Duties of the appointees include teaching undergraduate and graduate courses, developing funded research, and providing professional services.
Aristotle Univ. of Thessaloniki Greece
In the last decade, a large number of techniques have been proposed to ensure integrity and authenticity of data in security-oriented applications, e.g. multime-dia forensics, biometrics, watermarking and information hiding, network intrusion detection, reputation systems, etc.... The development of these methods has re-ceived a new boost in the last few years with the advent of Deep Learning (DL) techniques and Convolutional Neural Networks (CNNs).
The International Institute for Smart Transportation, Infrastructure, Finance and Computing (IISTIFC) affiliated with the School of Smart Cities (SSC) at South China University of Technology (SCUT), Guangzhou, China invites applicants to fill three-year term non-tenure track Research Assistant Professor positions on Guangzhou International Campus for conducting interdisciplinary engineering education and cutting-edge research.
We consider the problem of detecting the presence of a complex-valued, possibly improper, but unknown signal, common among two or more sensors (channels) in the presence of spatially independent, unknown, possibly improper and colored, noise. Past work on this problem is limited to signals observed in proper noise.