Sökning: "Evolving networks"
Visar resultat 1 - 5 av 59 avhandlingar innehållade orden Evolving networks.
1. Evolving Industrial Networks : Data-Driven Network Traffic Modelling and Monitoring
Sammanfattning : The concept of Industrial IoT encompasses the joint applicability of operation and information technologies to expand the efficiency expectation of automation to green and flexible processes with innovative products and services. Future industrial networks need to accommodate, manage and guarantee the performance of converged traffic from different technologies. LÄS MER
2. Evolving intelligence : Overcoming challenges for Evolutionary Deep Learning
Sammanfattning : Deep Learning (DL) has achieved remarkable results in both academic and industrial fields over the last few years. However, DL models are often hard to design and require proper selection of features and tuning of hyper-parameters to achieve high performance. These selections are tedious for human experts and require substantial time and resources. LÄS MER
3. Spatial analysis and modeling of urban transportation networks
Sammanfattning : Transport systems in general, and urban transportation systems in particular, are the backbone of a country or a city, therefore play an intrinsic role in the socio-economic development. There have been numerous studies on real transportation systems from multiple fileds, including geography, urban planning, and engineering. LÄS MER
4. Digital Content Networks : The Past, the Present and Decentralizing
Sammanfattning : This thesis presents a solution-oriented analysis of current issues in digital content distribution management and content networks. The findings support the view that the recent development in the area has created a few congestion points, both in content distribution and content business, that gather increasing technical, social, financial, and political influence in the world. LÄS MER
5. Data Stream Mining and Analysis : Clustering Evolving Data
Sammanfattning : Streaming data is becoming more prevalent in our society every day. With the increasing use of technologies such as the Internet of Things (IoT) and 5G networks, the number of possible data sources steadily increases. Therefore, there is a need to develop algorithms that can handle the massive amount of data we now generate. LÄS MER