Seminar on Internet Technologies (Winter 2024/2025): Difference between revisions

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Seminar on Internet Technologies (Winter 2024/2025) (view source)

Revision as of 17:03, 23 August 2024

1,361 bytes removed ,  23 August
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| Change Detection in Satellite Image Time Series
| Disaster Monitoring
| In this topic, you will study methods to detect changes in land-use, vegetation, etc. in Satellite Image Time Series.
| In this topic, you will study methods to monitor disaster scenarios (e.g. floodings) with aerial images.
| Basic machine learning knowledge
| Basic machine learning knowledge
| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de]
| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de]
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| Satellite Image Pixel Clustering for Change Estimation
| Biomass estimation from Satellite Images
| In this topic, you will study pixel clustering methods for satellite images and apply their outputs for regression-based estimation of changes between different points in time.
| In this topic, you will study methods to estimate the biomass of trees from satellite images.
| Basic machine learning knowledge
| Basic machine learning knowledge
| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de]
| [Fabian Wölk, fabian.woelk@cs.uni-goettingen.de]
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| No
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| In this topic, student will read papers to learn how to detect anomaly edge/graph/subgraph… with the help of GNN.
| In this topic, student will read papers to learn how to detect anomaly edge/graph/subgraph… with the help of GNN.
| Basic AI / GNN knowledge
| Basic AI / GNN knowledge
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
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| Yes
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| The relationship between birds’ distribution and the health of the environment (Project possible)
| Birds are sensitive to environmental pressures and their populations can reflect changes in the health of the environment. By analyzing the change of the distribution of birds, perhaps we may evaluate the health of the environment.
| Basic Python knowledge, correlation analysis
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
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| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
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| Yes
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| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
| [Zhengze Li, zhengze.li@cs.uni-goettingen.de]
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| Yes
| No
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| Performance of real 5G communication
| Knowledge Graph Completion
| What are the key QoS requirements for future applications and scenarios? What are the shortcomings of today's 5G network? Where are the bottlenecks? How can performance be improved? In this topic, you will build an open-source 5G communication network from the core to the edge, test and analyze the real performance of 5G.
| What are the Knowledge Graph (KG) requirements for future applications and scenarios? What is the task of Knowledge Graph Completion? What is the correlation between KGs and NLP? How to use popular large language models (LLMs) to assist in the implementation of knowledge graph completion? In this topic, you will learn about KGs and learn to use LLMs to perform a KGC task.
| Network protocol stack & 5G architecture
| Knowledge Graph & NLP
| [Wanghong Yang, wanghong.yang@cs.uni-goettingen.de]
| [Tong Shen, shen.tong@cs.uni-goettingen.de]
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| Yes
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| Low latency transmission mechanism for real-time interactive application
| There are so many mechanisms designed for providing low latency transmission from application layer adaptive algorithms to transport layer protocols, even from network assistance. However, the incoordination between the upper and lower layers may lead to "negative optimization". How is the transmission performance of the current protocol stack? Which combination performs best? Does the new technology really improve performance? In this topic, you will build a 5G communication simulation network from the core to the edge, test and analyze the latency performance of current mechanisms.
| Network Transmission Improvement & 5G architecture
| [Wanghong Yang, wanghong.yang@cs.uni-goettingen.de]
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| Yes
| Yes
Stong
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