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Theses and Projects: Difference between revisions
→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. | * '''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. We expect you have a background in deep learning, as well as programming skills like Python. | ||
(1) one to realize and improve the system for video transmission and network configuration according to resource allocation policy; | (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 | (2) another one to implement the deep learning algorithm for dynamic resource allocations to improve QoE. | ||
Please contact [tingting.yuan@cs.uni-goettingen.de Dr.Tingting Yuan ] and Weijun Wang [weijun.wang@informatik.uni-goettingen.de](B/M/P) | Please contact [tingting.yuan@cs.uni-goettingen.de Dr.Tingting Yuan ] 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=== | ||