Comics Illustration Synthesizer using the Stable Diffusion Model: Fine-tuning for text-to-image Dilbert Comics Generation

Synthetic art is the end result of artificial intelligence models that have been trained to generate images from text prompts. "Comic synthesis" is one such use case, where comic illustrations are produced from textual descriptions. Previous attempts at comic synthesis have utilized conditional Generative Adversarial Networks (cGANs), but this...

Clustering faces of comic characters: An experimental investigation

Face clustering is a subfield of computer vision and pattern recognition with many applications such as face recognition and surveillance. Accurate clustering of faces can also help us to create labeled datasets. However, in the domain of comics, face clustering is not well studied. Therefore, it is uncertain which methods of feature extraction...

Does text matter?: Extending CLIP with OCR and NLP for image classification and retrieval

Contrastive Language-Image Pretraining (CLIP) has gained vast interest due to its impressive performance on a variety of computer vision tasks: image classification, image retrieval, action recognition, feature extraction, and more. The model learns to associate images with their descriptions, a powerful method which allows it to perform well on...

Host- Microbiome Omics Integration for Cancer Analysis and Diagnostics: Investigating the added value of integrating microbial and host omics information for cancer diagnostics using prediction models

Cancer is one of the leading causes of death in the world. While there have been many studies investigating the development and progression of cancer in human tissues using host omics data or microbial data, there is a lack of research combining both types of data, even though both modalities have been shown to affect cancer morphology and...

Value-sensitive Evaluation of Hybrid Human-AI Chatbots in Customer Services

The state-of-the-art shows the potential of chatbots and other Machine Learning (ML) models to perform many tasks of high quality. Especially chatbots are already used by many companies to assist their customer service. However, chatbots will likely never be able to perform all tasks perfectly. Therefore, it is still the question whether such a...

System Design of LED-to-Rolling-Shutter-Camera Communication using Color Shift Keying

Visible Light Communication (VLC) is becoming an important research area where Visible Light Sources such as LED, Halogen Lamps and even the sun can be used for Wireless Communication. LED-to-Camera Communication is a form of VLC, where the camera can notice intermittent stimuli changes above a certain threshold frequency (flicker fusion...

JAB: A generic architecture for power efficient, high throughput mobile VLC applications

Visible Light Communication is a method of wireless communication that avoids the oversaturated frequencies used by radio communication. Prior research typically uses the camera on smartphone for communication, but using a camera is energy-intensive and inefficient. Some alternatives are photodiodes and ambient light sensors, however the former...

Real-Time Passenger Load Estimation using In-Vehicle Data

Increased urbanisation has led to significant challenges for public transport operators. Inconsistent demand leads to peaks in passenger activity on the network. Moreover, the COVID-19 pandemic has introduced a need for social distancing as well, limiting the desired capacity of vehicles. To combat this, intelligent real-time and data-driven...

User Evaluation of InCoder Based on Statement Completion

A lot of models have been proposed to automatically complete code with promising evaluation results when tested in isolation on testing sets. This research aims to evaluate the performance of these models when used by developers when programming. Are these models still useful for actual programming and do developers even want this functionality?...

A User Evaluation of UniXcoder Using Statement Completion in a Real-World Setting

State-of-the-art machine learning-based models provide automatic intelligent code completion based on large pre-trained language models. The theoretical accuracy of these models reaches 70%. However, the research on the practicality of these models is limited. Our paper will discuss the usefulness of UniXcoder, a machine learning-based cross...

Improvement of Source Code Conversion for Code Completion

Code Completion is advancing constantly, with new research coming out all the time. One such advancement is CodeFill, which converts source files into token sequences for type prediction. To train the CodeFill model, a lot of source files are needed which take a long time to convert before training can begin. Converting the file the end-user is...

An Empirical Analysis of InCoder on the Statement Prediction Task

Automatic code completions are a widely used feature when programming code efficiently. These completions can be made by various code language models, and these can be differentiated in three categories: single token completion, statement (line) completion and block completions. These completions, and in particular statement predictions are...

An Empirical Analysis on the Performance of UniXcoder

Numerous papers have empirically studied the performance of deep learning based code completion models. However, none of these papers considered nor investigated whether good performance on statically typed languages translates to good performance on dynamically typed languages. A lack of available type information can make code completion more...

Receiving data through light with low-end smartphones

Although the demand for wireless communication continuous to grow, the number of frequencies available in traditional data transmission is limited. Visible Light Communication (VLC) is a promising alternative communication method proven to work on high-end devices. However, large-scale adoption requires VLC to also work on everyday machines. Yet...

ChromaCam: Demodulating Colored Light with a High-End Smartphone

Visible Light Communication (VLC) has seen drastic improvements in recent years, one approach uses active light sources like LEDs, switching them at hight speeds to send data. Another approach uses the fundamental characteristics of liquid crystals (birefringence and thickness) to transmit data to a single pixel receiver. These characteristics...

Applying Koopman Methods for Nonlinear Reachability Analysis

In this thesis we investigate the possibilities for applying Koopman methods for reachability analysis. Reachability analysis is a verification process used to determine that a dynamical system starting in an initial set X0 cannot reach a certain set of dangerous states D within a time interval [0,T]. Koopman methods seem promising, because they...