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→Multimedia Resource Allocation for QoE Improvement by Deep Learning
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=== Multimedia Resource Allocation for QoE Improvement by Deep Learning=== | === Multimedia Resource Allocation for QoE Improvement by Deep Learning=== | ||
* '''New!''' Deep learning has been widely used in various real-time applications and systems. Dynamic resource allocation for multimedia (e.g. Video) to improve QoE is an interesting topic. We need two students for this topic. one to realize and improve the system for video transmission and network configuration according to resource allocation policy; another one to implement the deep learning algorithm for dynamic resource allocations to improve QoE. We expect you have a background in deep learning, as well as programming skills like Python. | * '''New!''' Deep learning has been widely used in various real-time applications and systems. Dynamic resource allocation for multimedia (e.g. Video) to improve QoE is an interesting topic. | ||
We need two students for this topic. | |||
(1) one to realize and improve the system for video transmission and network configuration according to resource allocation policy; | |||
(2) another one to implement the deep learning algorithm for dynamic resource allocations to improve QoE. We expect you have a background in deep learning, as well as programming skills like Python. | |||
Please contact Dr.Tingting Yuan [tingting.yuan@cs.uni-goettingen.de] and Weijun Wang [weijun.wang@informatik.uni-goettingen.de](B/M/P) | Please contact Dr.Tingting Yuan [tingting.yuan@cs.uni-goettingen.de] and Weijun Wang [weijun.wang@informatik.uni-goettingen.de](B/M/P) | ||
=== Low Power, Wide Area (LPWA) technologies on smart cities=== | === Low Power, Wide Area (LPWA) technologies on smart cities=== | ||