Search for dissertations about: "Evolving networks"

Showing result 1 - 5 of 59 swedish dissertations containing the words Evolving networks.

  2. 1. Evolving Industrial Networks : Data-Driven Network Traffic Modelling and Monitoring

    Author : Mehrzad Lavassani; Johan Åkerberg; Mats Björkman; Per Hurtig; Mälardalens universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Computer Science; datavetenskap;

    Abstract : 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. READ MORE

  4. 2. Evolving intelligence : Overcoming challenges for Evolutionary Deep Learning

    Author : Mohammed Ghaith Altarabichi; Sławomir Nowaczyk; Sepideh Pashami; Peyman Sheikholharam Mashhadi; Niklas Lavesson; Högskolan i Halmstad; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; neural networks; evolutionary deep learning; evolutionary machine learning; feature selection; hyperparameter optimization; evolutionary computation; particle swarm optimization; genetic algorithm;

    Abstract : 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. READ MORE

  5. 3. Spatial analysis and modeling of urban transportation networks

    Author : Jingyi Lin; Yifang Ban; Sten Henning Hansen; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Complex networks; transportation systems; network growth; Evolving networks; centrality; urban systems; topology; space syntax; spatial networks; distance effects; gravity laws; planarity; street network patterns; US airline system; China’s aviation system; network efficiency; cellular structure; hierarchy; network representations; Geodesy and Geoinformatics; Geodesi och geoinformatik;

    Abstract : 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. READ MORE

  6. 4. Digital Content Networks : The Past, the Present and Decentralizing

    Author : Tommo Reti; Marko Turpeinen; Nils Enlund; Jussi Kangasharju; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Information technology; Informationsteknik; SRA - ICT; SRA - Informations- och kommunikationsteknik;

    Abstract : 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. READ MORE

  7. 5. Data Stream Mining and Analysis : Clustering Evolving Data

    Author : Christian Nordahl; Håkan Grahn; Veselka Boeva; Marie Netz; Plamen Angelov; Blekinge Tekniska Högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Data Stream Mining; Clustering; Data Streams; Data Mining; Computer Science; Datavetenskap;

    Abstract : 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. READ MORE