Searched for: subject:"networks"
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Zeeuwe, Daan (author)
Biologically plausible representations have been found to emerge in particular recurrent neural networks when training on path-integration [1, 2]. This report explores factors influencing the occurrence of entorhinal-like representations in recurrent neural networks. Reproducing simplified models from existing studies and created a hybrid model...
master thesis 2019
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Hijner, Anne Mijntje (author)
In order for public transportation to remain an attractive travel option, its reliability must be improved. To enable this, extensive knowledge on the passenger delay phenomenon is necessary. This study explores the possibility of using empirical data of passenger delay to determine the relationships between stations through a Bayesian Network...
master thesis 2019
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Rieffe, Dennis (author)
In this study, a analysis was performed to analyze why there are differences in port configuration between IPv4 and IPv6. For this, the current state of adoption and implantation processes of IPv6 were researched. Currently, 4,8% of all dual-stack hosts have a different configuration in open ports on IPv4 and IPv6. To discover the reasoning...
master thesis 2019
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Kapadia, Husain (author)
Listening in noise is a challenging problem that affects the hearing capability of not only normal hearing but especially hearing impaired people. Since the last four decades, enhancing the quality and intelligibility of noise corrupted speech by reducing the effect of noise has been addressed using statistical signal processing techniques as...
master thesis 2019
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Etta Tabe, Takang Kajikaw (author)
The volume and sophistication of data exfiltration attacks over networks have significantly increased in the last decade. This has resulted in the need for defense mechanisms, to effectively detect both known and unknown data exfiltration scenarios over the network. While methods such as DPI (Deep Packet Inspection) are commonly used to detect...
master thesis 2019
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Tundulyasaree, Krissada (author)
Public transport networks (PTNs) have an impact on both travelers’ behavior and system operations. A meaningful approach to investigate PTNs is via their topological structure because it was found to be correlated to the operational performance, the total ridership, consumer experience, passenger flow distribution, and network resilience. A...
master thesis 2019
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Badarinath, Karthik (author)
Wind power is the fastest-growing energy source and the offshore wind industry is expected to grow by over 80 GW through 2024. There is a need to reduce all associated costs to be competitive in a market that might be fully subsidy-free soon. Adapting a predictive or condition-based maintenance strategy can help in reducing O&M costs, as it...
master thesis 2019
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Graur, Dan (author)
Given the increasing popularity of Machine Learning, and the ever increasing need to solve larger and more complex learning challenges, it is unsurprising that numerous distributed learning strategies have been brought forward in recent years, along with many large scale Machine Learning frameworks. It is however unclear how well these...
master thesis 2019
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Kortman, Anne Sophie (author)
The attempts made in history to design livable sustainable neighborhoods, have created dependency instead on motorized transportation and have increased the pressure of the city, leading to unsustainable environments and causing global climate change. To accomplish sustainability we introduce a new vision to explain what sustainability means in...
master thesis 2019
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Ni, Xianhao (author)
Our research focuses on speech detection from body movements using wearable accelerometer data collected in an in-the-wild mingling event. We aim to explore the nature of the connection between speech and body movements. More specifically, we stress on the person-specificity of speech. Many studies have shown that speech always comes along with...
master thesis 2019
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Freiherr von der Goltz, Julian (author)
Aircraft inspections after unexpected incidents, like lightning strikes, currently require a timeconsuming and costly inspection process, due to the small size of the lightning strike damages. Mainblades Inspections is working on an automated, drone-based solution, that scans the aircraft hull with a high-resolution camera. The objective of this...
master thesis 2019
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Venkatesan, Karthik (author)
This research project was initiated as a result of a curiosity and desire to investigate the applicability of surrogate modelling to analyse complex non-linear behaviour in aircraft structures. The study chose to focus on modelling damage in composite plates, and through a literature review, deemed that the generation of graphical outputs was a...
master thesis 2019
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Li, Ziyu (author)
Link prediction in complex networks has attracted increasing attention. The link prediction algorithms can be used to retrieve missing information, identify spurious interactions, capturing net- work evolution, and so on. Recently, network embedding has been proposed as a new strategy to embed network into low-dimensional vector space. By...
master thesis 2019
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Mohammad Ammar Faiq, Ammar (author)
Cardiovascular diseases are considered as one the deadliest disease and have also been the most prominent health burden around the world and particularly in the Netherlands. Enormously mitigation has been done to reduce the death burden, by improving the quality of health care services and research related to cardiovascular diseases. One...
master thesis 2019
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Wang, Yizhou (author)
In the past few years, convolutional neural networks (CNNs) have been widely utilized and shown state-of-the-art performances on computer vision tasks. However, CNN based approaches usually require a large amount of storage, run-time memory, as well as computation power in both training and inference time, which are usually used on GPU based...
master thesis 2019
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Wubben, Leon (author)
master thesis 2019
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Overwater, Ramon (author)
The quantum bits (qubits) at the core of any quantum computers are so fragile that quantum error correction(QEC) schemes are needed to increase their robustness and enable fault-tolerant quantum algorithms. The surface code is one of the most popular QEC schemes, but it requires the availability of an efficient decoder. While neural networks...
master thesis 2019
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Noppen, Marko (author)
Adaptive optics are widely used to correct the wavefront distortion imposed by atmospheric turbulence. Focal plane phase retrieval from intensity measurements has advantages due to the ease of implementation, potential broader application, less computations, low cost, high system bandwidth, simplified hardware and less calibration. To cope with...
master thesis 2019
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Száva, Antal (author)
A network of devices capable of transmitting quantum information called a quantum network has promising applications with vast benefits. One of the most near term achievable application is the quantum key distribution. It could be used for sharing a secret key between two end-users through any insecure authenticated communication channel. Other...
master thesis 2019
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Gupta, Rahul (author)
As our modern society keeps changing, the role of universities as a source of creating opportunities for academic entrepreneurs to transform their scientific knowledge into a viable business is becoming significantly important. Even though academic institutions and universities have played a big role in the transfer of knowledge into...
master thesis 2019
Searched for: subject:"networks"
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