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Berjaoui Tahmaz, Amin (author)
This paper presents a hierarchical reinforcement learning framework for efficient robotic manipulation in sequential contact tasks. We leverage this hierarchical structure to sequentially execute behavior primitives with variable stiffness control capabilities for contact tasks. Our proposed approach relies on three key components: an action...
master thesis 2024
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Kok, Thys (author)
AmpliDiff is an algorithm for studying environmental samples. As the study of those DNA samples is complicated, the runtime of AmpliDiff holds back its usability. One time-consuming part is exactly solving a variant of the Set Cover problem. This paper researches whether this exact solution can be replaced by heuristics to reduce the runtime....
bachelor thesis 2024
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Polimac, Dean (author)
In this study we introduce a different approach to the primer selection problem in the AmpliDiff [12] algorithm. Two different metrics, being the Hamming distance [2], and the Levenshtein distance [4], are used to compute sets of similar primers. This is done such that locations where mismatches between the primers and the target sequence can...
bachelor thesis 2024
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Karskens, Samuel (author)
Abundance estimation with the use of environmental samples has been used during the SARS-CoV-2 pandemic to identify the abundances of different lineages. AmpliDiff, an algorithm that tries to find parts of DNA that can differentiate between different input genomes was used on a SARS-CoV-2 dataset to find these amplicons. The AmpliDiff algorithm...
bachelor thesis 2024
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den Boon, Kevin (author)
AmpliDiff provides a method which takes a list of genomes and their lineages, and finds a set of amplicons and their primers in such a way that these amplicons can be used to differentiate between the lineages of a specific virus. While it has been shown that AmpliDiff find results comparable to whole genome sequencing for SARS-CoV-2 when...
bachelor thesis 2024
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Raizman, Omri (author)
As the population aged 65 and above increases, falls among these older adults emerge as a significant public health concern, leading to disabil- ities and economic burdens. Preventative strategies and personalized fall risk assessments are essential for mitigating fall risks. Human Activity Recognition in early fall risk detection by monitoring...
master thesis 2023
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ZHUANG, XUANYU (author)
In the task of music style transfer, the symbolic music representation based on Musical Instrument Digital Interface (MIDI) files has always been a popular research medium. By using such representation, some mature models for image style transfer can also be applied to this scenario, such as Cycle-consistent Generative Adversarial Networks ...
master thesis 2023
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Lodha, Sneha (author)
<br/>One of the contributing factors to climate change is the release of gases, particularly carbon dioxide (CO2), which is amplified by the expanding E-commerce industry. E-commerce enterprises heavily depend on recommender systems as a means to incentivize consumers towards making product purchases. This master's thesis investigates the...
master thesis 2023
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El Attar, Bilal (author)
How people behave in social interactions is influenced by a multitude of factors. A large part of human communication is embedded within non-verbal communication. This type of communication is sent throughout social signals, that are embodied within low-level social cues (e.g. gaze, posture, gestures). In order for intelligent systems to...
master thesis 2022
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Laxminarayanan Raj Prabhu, N. (author)
Social interactions in general are multifaceted and there exists an wide set of factors and events that influence them. Hence, interactions as a social phenomena have been studied by researchers in the fields of psychology and social signal processing from different stand points. The common trend in literature is to perform an in-depth study on...
master thesis 2020
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