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News & Updates
See the latest from the IEEE Signal Processing Society.
New SPS Awards Board Chair
BÖRN OTTERSTEN (KTH Royal Institute of Technolog) will serve as the 2018 SPS Awards Board Chair. He succeeds H. Vincent Poor from Princeton University
IEEE WCNEE 2018 - 2nd IEEE International Workshop on Wireless Communications and Networking in Extreme Environments
We are very pleased to announce that the 2nd IEEE International Workshop on Wireless Communications and Networking in Extreme Environments (IEEE WCNEE) will be held on April 16, 2018, in Honolulu, HI, USA (with IEEE INFOCOM 2018). The workshop website is available at http://wcnee.eng.buffalo.edu/.
IEEE Transactions on Multimedia - Special Issue on "Multimedia Big Data for Extreme Events"
Recently, leveraging technological advances and using Big Data approaches for information management and processing in extreme events (e.g., Natural Disasters, Extreme Weather, Emergency Events, Diseases and etc.) have attracted much research attention. Multimedia is increasingly becoming the most important and valuable source for insights and information in extreme events.
Call for Nominations for Editor-in-Chief
The IEEE Signal Processing Society (SPS) invites nominations for the position of Editor-in-Chief for the following journals: IEEE Journal of Selected Topics in Signal Processing, IEEE/ACM Transactions on Audio, Speech, and Language Processing, and IEEE Transactions on Signal and Information Processing over Networks for a 3-year term starting 1 January 2019.
Special Issue on Safety and Security in Cyber-Physical Systems of Proceedings of the IEEE
Engineering safety and computer security have traditionally been viewed as separate fields: safety concentrates on the avoidance of physical harm; security protects information and privacy. When computers and physical plants did not interoperate, separation of safety and security was both reasonable and prudent. Given the advent of CPSs, we can no longer consider these problems as separate.
Special Issue on Cyber Security in Aerospace Systems from IEEE AES Magazine
Cyber security is an increasing worry on many fronts, but typical discussions and headlines focus on very different types of threats than those experienced by aviation and space systems. Cyber security vulnerabilities compromise the control, traffic, navigation, and integrity of these systems. Countermeasures involve not only specialized systems and architectures, but often international cooperation, as the need for awareness extends well beyond the boundaries of a single aircraft.
Recent Contest in Signal Processing and Machine Learning
Sponsored from the IEEE Signal Processing Society, there is a Kaggle contest focusing on identifying the camera that took
an image. Finding footage of a crime caught on tape is an investigator's dream. But even with crystal clear, damning evidence,
one critical question always remains–is the footage real? Today, one way to help authenticate footage is to identify the camera
that the image was taken with.
Recent Patents in Signal Processing (January 2018) - MR/CT data segmentation
For our January 2018 issue, we cover recent patents granted in the area of applications of medical MR or CT data segmentation.
The invention no. 9,659,370 relates to a method for segmenting MR Dixon image data. A processor and a computer program product are also disclosed for use in connection with the method. The invention finds application in the MR imaging field in general and more specifically may be used in the generation of an attenuation map to correct for attenuation by cortical bone during the reconstruction of PET images.
Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
In this course, you will learn the science behind how digital images and video are made, altered, stored, and used. We will look at the vast world of digital imaging, from how computers and digital cameras form images to how digital special effects are used in Hollywood movies to how the Mars Rover was able to send photographs across millions of miles of space.
Deep Learning
Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of…
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