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You searched for +publisher:"Delft University of Technology" +contributor:("Van Mieghem, Piet"). Showing records 1 – 10 of 10 total matches.

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Delft University of Technology

1. Devriendt, Karel (author). Structure and dynamics of complex networks: Network epidemics and a geometric robustness measure.

Degree: 2017, Delft University of Technology

 As new technologies continue to find their way into everyday life, the world becomes more and more connected. Airplanes and other means of transportation provide… (more)

Subjects/Keywords: complex networks; SIS epidemics; mean-field theory; network robustness; effective resistance; spectral graph theory; Laplacian matrix; graph theory

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APA (6th Edition):

Devriendt, K. (. (2017). Structure and dynamics of complex networks: Network epidemics and a geometric robustness measure. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:00b2ef38-02d0-4bf2-90ef-bfc38f928da8

Chicago Manual of Style (16th Edition):

Devriendt, Karel (author). “Structure and dynamics of complex networks: Network epidemics and a geometric robustness measure.” 2017. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:00b2ef38-02d0-4bf2-90ef-bfc38f928da8.

MLA Handbook (7th Edition):

Devriendt, Karel (author). “Structure and dynamics of complex networks: Network epidemics and a geometric robustness measure.” 2017. Web. 29 Nov 2020.

Vancouver:

Devriendt K(. Structure and dynamics of complex networks: Network epidemics and a geometric robustness measure. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:00b2ef38-02d0-4bf2-90ef-bfc38f928da8.

Council of Science Editors:

Devriendt K(. Structure and dynamics of complex networks: Network epidemics and a geometric robustness measure. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:00b2ef38-02d0-4bf2-90ef-bfc38f928da8


Delft University of Technology

2. Ni, Yingli (author). The Cut-size Property of Networks and Epidemics Processes.

Degree: 2017, Delft University of Technology

 This master thesis focuses on the particular problem about the cut-size property of different networks. The scope of networks is from trivial network models (e.g.,… (more)

Subjects/Keywords: Network science; The cut-szie property; The SIS epidemics proess; Real networks

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APA (6th Edition):

Ni, Y. (. (2017). The Cut-size Property of Networks and Epidemics Processes. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0a633966-bca8-4314-9ef6-52b9bac12e60

Chicago Manual of Style (16th Edition):

Ni, Yingli (author). “The Cut-size Property of Networks and Epidemics Processes.” 2017. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:0a633966-bca8-4314-9ef6-52b9bac12e60.

MLA Handbook (7th Edition):

Ni, Yingli (author). “The Cut-size Property of Networks and Epidemics Processes.” 2017. Web. 29 Nov 2020.

Vancouver:

Ni Y(. The Cut-size Property of Networks and Epidemics Processes. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:0a633966-bca8-4314-9ef6-52b9bac12e60.

Council of Science Editors:

Ni Y(. The Cut-size Property of Networks and Epidemics Processes. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:0a633966-bca8-4314-9ef6-52b9bac12e60


Delft University of Technology

3. Achterberg, Massimo (author). Modelling Markovian epidemic and information diffusion over adaptive networks.

Degree: 2019, Delft University of Technology

 Modelling the spread of contagious diseases among people has been a research topic for over a hundred years. However, the increase in computation power in… (more)

Subjects/Keywords: Adaptive; Network science; Information diffusion; Epidemiology

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APA (6th Edition):

Achterberg, M. (. (2019). Modelling Markovian epidemic and information diffusion over adaptive networks. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:d2698130-e54b-4065-8f38-eba46dbb5eef

Chicago Manual of Style (16th Edition):

Achterberg, Massimo (author). “Modelling Markovian epidemic and information diffusion over adaptive networks.” 2019. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:d2698130-e54b-4065-8f38-eba46dbb5eef.

MLA Handbook (7th Edition):

Achterberg, Massimo (author). “Modelling Markovian epidemic and information diffusion over adaptive networks.” 2019. Web. 29 Nov 2020.

Vancouver:

Achterberg M(. Modelling Markovian epidemic and information diffusion over adaptive networks. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:d2698130-e54b-4065-8f38-eba46dbb5eef.

Council of Science Editors:

Achterberg M(. Modelling Markovian epidemic and information diffusion over adaptive networks. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:d2698130-e54b-4065-8f38-eba46dbb5eef


Delft University of Technology

4. van Dam, Wirdmer (author). Robustness Analysis of the Dutch Synchromodal Freight Transport Network: Simulating Disruptions on a Macroscopic Graph Model.

Degree: 2017, Delft University of Technology

 Freight transport is an essential component of the economy, as among other things it ensures the availability of finished goods to consumers. Synchromodal transport is… (more)

Subjects/Keywords: Robustness; Synchromodal; Freight Transport; Multimodal Network; Simulation; Disruptions; Macroscopic; Graph Model

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APA (6th Edition):

van Dam, W. (. (2017). Robustness Analysis of the Dutch Synchromodal Freight Transport Network: Simulating Disruptions on a Macroscopic Graph Model. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ed5af468-4555-4018-8463-43165db2775f

Chicago Manual of Style (16th Edition):

van Dam, Wirdmer (author). “Robustness Analysis of the Dutch Synchromodal Freight Transport Network: Simulating Disruptions on a Macroscopic Graph Model.” 2017. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:ed5af468-4555-4018-8463-43165db2775f.

MLA Handbook (7th Edition):

van Dam, Wirdmer (author). “Robustness Analysis of the Dutch Synchromodal Freight Transport Network: Simulating Disruptions on a Macroscopic Graph Model.” 2017. Web. 29 Nov 2020.

Vancouver:

van Dam W(. Robustness Analysis of the Dutch Synchromodal Freight Transport Network: Simulating Disruptions on a Macroscopic Graph Model. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:ed5af468-4555-4018-8463-43165db2775f.

Council of Science Editors:

van Dam W(. Robustness Analysis of the Dutch Synchromodal Freight Transport Network: Simulating Disruptions on a Macroscopic Graph Model. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:ed5af468-4555-4018-8463-43165db2775f


Delft University of Technology

5. Guerrero Viveros, Marcelo (author). Performance Analysis of Google Congestion Control Algorithm for WebRTC.

Degree: 2019, Delft University of Technology

Web Real-Time communication (WebRTC) is a technology that enables web browsers to establish real-time communication services without the need of specific software or plug-ins. This… (more)

Subjects/Keywords: WebRTC; Google Congestion Control; Performance Analysis; Wireless Networks; 4G Network

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APA (6th Edition):

Guerrero Viveros, M. (. (2019). Performance Analysis of Google Congestion Control Algorithm for WebRTC. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:406dae1c-bc39-4973-9f82-0977a7bacdbf

Chicago Manual of Style (16th Edition):

Guerrero Viveros, Marcelo (author). “Performance Analysis of Google Congestion Control Algorithm for WebRTC.” 2019. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:406dae1c-bc39-4973-9f82-0977a7bacdbf.

MLA Handbook (7th Edition):

Guerrero Viveros, Marcelo (author). “Performance Analysis of Google Congestion Control Algorithm for WebRTC.” 2019. Web. 29 Nov 2020.

Vancouver:

Guerrero Viveros M(. Performance Analysis of Google Congestion Control Algorithm for WebRTC. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:406dae1c-bc39-4973-9f82-0977a7bacdbf.

Council of Science Editors:

Guerrero Viveros M(. Performance Analysis of Google Congestion Control Algorithm for WebRTC. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:406dae1c-bc39-4973-9f82-0977a7bacdbf


Delft University of Technology

6. Tang, Yue (author). Network Reconstruction for Epidemic Processes.

Degree: 2018, Delft University of Technology

Epidemic models are applied to describe epidemic processes such as the spreading of infectious viruses, opinions and fake news on real-life or online social networks,… (more)

Subjects/Keywords: SIS; NIMFA; network reconstruction

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APA (6th Edition):

Tang, Y. (. (2018). Network Reconstruction for Epidemic Processes. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:09cdb325-00b3-4e87-83c7-9dae233b7115

Chicago Manual of Style (16th Edition):

Tang, Yue (author). “Network Reconstruction for Epidemic Processes.” 2018. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:09cdb325-00b3-4e87-83c7-9dae233b7115.

MLA Handbook (7th Edition):

Tang, Yue (author). “Network Reconstruction for Epidemic Processes.” 2018. Web. 29 Nov 2020.

Vancouver:

Tang Y(. Network Reconstruction for Epidemic Processes. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:09cdb325-00b3-4e87-83c7-9dae233b7115.

Council of Science Editors:

Tang Y(. Network Reconstruction for Epidemic Processes. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:09cdb325-00b3-4e87-83c7-9dae233b7115


Delft University of Technology

7. Hamad, Abdul Aziz (author). Modelling epidemic spreading phenomena processes on networks.

Degree: 2018, Delft University of Technology

Spreading processes are ubiquitous in nature and societies, e.g. spreading of diseases and computer virus, propagation of messages, and activation of neurons. Computer viruses cause… (more)

Subjects/Keywords: Epidemic; SIRS; Ensemble Kalman filter; Gradient descent; Real-world epidemic data (influenza data)

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APA (6th Edition):

Hamad, A. A. (. (2018). Modelling epidemic spreading phenomena processes on networks. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0a29e4da-649a-4919-9c13-00da4aa061ef

Chicago Manual of Style (16th Edition):

Hamad, Abdul Aziz (author). “Modelling epidemic spreading phenomena processes on networks.” 2018. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:0a29e4da-649a-4919-9c13-00da4aa061ef.

MLA Handbook (7th Edition):

Hamad, Abdul Aziz (author). “Modelling epidemic spreading phenomena processes on networks.” 2018. Web. 29 Nov 2020.

Vancouver:

Hamad AA(. Modelling epidemic spreading phenomena processes on networks. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:0a29e4da-649a-4919-9c13-00da4aa061ef.

Council of Science Editors:

Hamad AA(. Modelling epidemic spreading phenomena processes on networks. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:0a29e4da-649a-4919-9c13-00da4aa061ef


Delft University of Technology

8. Lagerweij, Pascal (author). Reinforcement Learning in Block Markov Chains.

Degree: 2019, Delft University of Technology

Nowadays, reinforcement learning algorithms on Markov decision processes (MDPs) face computational issues when the state space is large. To reduce this state space of a… (more)

Subjects/Keywords: Markov Decision Processes; Block Markov Chain; Clustering algorithms; Optimization Algorithm

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APA (6th Edition):

Lagerweij, P. (. (2019). Reinforcement Learning in Block Markov Chains. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0f7d7ff1-d32e-4a9e-b202-73c64809873b

Chicago Manual of Style (16th Edition):

Lagerweij, Pascal (author). “Reinforcement Learning in Block Markov Chains.” 2019. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:0f7d7ff1-d32e-4a9e-b202-73c64809873b.

MLA Handbook (7th Edition):

Lagerweij, Pascal (author). “Reinforcement Learning in Block Markov Chains.” 2019. Web. 29 Nov 2020.

Vancouver:

Lagerweij P(. Reinforcement Learning in Block Markov Chains. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:0f7d7ff1-d32e-4a9e-b202-73c64809873b.

Council of Science Editors:

Lagerweij P(. Reinforcement Learning in Block Markov Chains. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:0f7d7ff1-d32e-4a9e-b202-73c64809873b


Delft University of Technology

9. Zhou, Xiaoyu (author). SIS Epidemics on Network with Non-Markovian Curing Process.

Degree: 2019, Delft University of Technology

Susceptible-Infected-Susceptible (SIS) model is commonly used to describe the spreading of virus on networks. However, a real-life epidemic process is not necessarily Markovian. The spreading… (more)

Subjects/Keywords: SIS Epidemics; Non-Markovian Curing Process; Epidemic Threshold; Pulse Curing Strategy

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APA (6th Edition):

Zhou, X. (. (2019). SIS Epidemics on Network with Non-Markovian Curing Process. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a86f06e9-7010-4fcb-b9d0-3e841da66d1b

Chicago Manual of Style (16th Edition):

Zhou, Xiaoyu (author). “SIS Epidemics on Network with Non-Markovian Curing Process.” 2019. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:a86f06e9-7010-4fcb-b9d0-3e841da66d1b.

MLA Handbook (7th Edition):

Zhou, Xiaoyu (author). “SIS Epidemics on Network with Non-Markovian Curing Process.” 2019. Web. 29 Nov 2020.

Vancouver:

Zhou X(. SIS Epidemics on Network with Non-Markovian Curing Process. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:a86f06e9-7010-4fcb-b9d0-3e841da66d1b.

Council of Science Editors:

Zhou X(. SIS Epidemics on Network with Non-Markovian Curing Process. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:a86f06e9-7010-4fcb-b9d0-3e841da66d1b


Delft University of Technology

10. Navneet, Kumar (author). Assessing robustness and identifying critical infrastructure in synchromodal transport network.

Degree: 2019, Delft University of Technology

A synchromodal transport network is a transportation technique which aims to create more efficient and sustainable transportation plans, which utilizes different modes of transport, i.e.,… (more)

Subjects/Keywords: Robustness; Synchromodal transport; Graph Model; centrality; Criticality analysis; Interdependent networks

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APA (6th Edition):

Navneet, K. (. (2019). Assessing robustness and identifying critical infrastructure in synchromodal transport network. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:808c664b-dd20-478f-8b4a-130ea99d0a60

Chicago Manual of Style (16th Edition):

Navneet, Kumar (author). “Assessing robustness and identifying critical infrastructure in synchromodal transport network.” 2019. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:808c664b-dd20-478f-8b4a-130ea99d0a60.

MLA Handbook (7th Edition):

Navneet, Kumar (author). “Assessing robustness and identifying critical infrastructure in synchromodal transport network.” 2019. Web. 29 Nov 2020.

Vancouver:

Navneet K(. Assessing robustness and identifying critical infrastructure in synchromodal transport network. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:808c664b-dd20-478f-8b4a-130ea99d0a60.

Council of Science Editors:

Navneet K(. Assessing robustness and identifying critical infrastructure in synchromodal transport network. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:808c664b-dd20-478f-8b4a-130ea99d0a60

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