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UKRI Centre for Doctoral Training (CDT) in Speech and Language Technologies (SLT) and their Applications
Department of Computer Science
Faculty of Engineering
University of Sheffield
Fully-funded 4-year PhD studentships for research in Speech and Language Technologies (SLT) and their Applications
** Apply now for September 2020 intake. Up to 13 studentships available **
Submission Deadline: January 24, 2020
Call for Proposals Document
Submission Deadline: February 29, 2020
Call for Proposals Document
April 24-26, 2020
Location: Changed to--Virtual Conference
August 31 - September 3, 2020
NOTE: IWAENC 2020 has been postponed to 2021
October 20-22, 2020
NOTE: Location changed to--Virtual Conference
The goal of the project is to design an architecture and self-learning algorithms that can optimize and guarantee deterministic QoS of individual traffic flows whilst maximizing network resource efficiency. The general QoS architecture for end-to-end communication of heterogeneous types of traffic will include routing and scheduling for each traffic type and admission control possibly with QoS renegotiations and with shaping and spacing.
The image blurring that results from moving a camera with the shutter open is normally regarded as undesirable. However, the blurring of the images encapsulates information that can be extracted to recover the light rays present within the scene. Given the correct recovery of the light rays that resulted in a blurred image, it is possible to reconstruct images...