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Dekker, Rick (author)Airlab, a collaboration between TU Delft and Ahold Delhaize, is developing Albert, a robot tailored to work in a complex supermarket environment. Key to Albert is a product detection and classification module that tells it what products to grasp and where they are located in a shelf. Albert’s existing YOLO‑based product detector a significant...master thesis 2024
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Sinha, Tishar (author)This research introduces a novel approach for 3D object detection utilizing language models, with a particular focus on addressing the challenges that have been encountered in the autonomous vehicle domain. The primary objective revolves around addressing the constraints associated with object detection models that rely heavily on labeled data...master thesis 2023
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Poulakakis Daktylidis, Stelios (author)There exists a fundamental gap between human and artificial intelligence. Deep learning models are exceedingly data hungry for learning even the simplest of tasks, whereas humans can easily adapt to new tasks with just a handful of samples. Unsupervised few-shot learning (U-FSL) aspires to bridge this gap, without relying on costly annotations....master thesis 2023
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Meng, Zhaonan (author)This thesis aims to develop an advanced numerical solver capable of efficiently computing the resonant states of quantum mechanical two-body and three-body problems, thereby expanding our understanding of these complex systems. The quantum three-body problems feature at least two dimensions, which necessitates substantial computational efforts....master thesis 2023
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Galjaard, Jeroen (author)Few-shot learning presents the challenging problem of learning a task with only a few provided examples. Gradient-Based Meta-Learners (GBML) offer a solution for learning such few-shot problems. These learners approach the few-shot problem by learning an initial parameterization that requires only a few adaptation steps for new tasks. Although...master thesis 2023
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de Pater, I.I. (author), Mitici, M.A. (author)Health indicators are crucial to assess the health of complex systems. In recent years, several studies have developed data-driven health indicators using supervised learning methods. However, due to preventive maintenance, there are often not enough failure instances to train a supervised learning model, i.e., the data is unlabelled with an...conference paper 2023
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Sun, Jianyong (author)Learning from Demonstration (LfD) aims to learn versatile skills from human demonstrations. The field has been gaining popularity since it facilitates transferring knowledge to robots without requiring much expert knowledge. During task executions, the robot motion is usually influenced by constraints imposed by environments. In light of this,...master thesis 2022
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Singh, Anuj (author)The versatility to learn from a handful of samples is the hallmark of human intelligence. Few-shot learning is an endeavour to transcend this capability down to machines. Inspired by the promise and power of probabilistic deep learning, we propose a novel variational inference network for few-shot classification (coined as TRIDENT) to decouple...master thesis 2022
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Godlewski, Gabriela (author)The combination of climate change and increased urbanization has resulted in cities with no historic flooding experience suddenly vulnerable to extreme flood events. Climate change increases the frequency and intensity of rainfalls, whereas urbanization decreases the total porous surface area, resulting in pluvial (rainwater) flooding. One such...master thesis 2022
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Kapadia, Mihir (author)Emotion Recognition is one of the vastly studied areas of affective computing. Attempts have been made to design emotion recognition systems for everyday settings. The ubiquitous nature of Intelligent voice assistants (IVAs) in households, make them a great anchor for the introduction of emotion recognition technology to consumers. The existing...master thesis 2022
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ten Caat, P.N. (author), Tenpierik, M.J. (author), van den Dobbelsteen, A.A.J.F. (author)The production, processing, and transportation of food, in particular animal-based products, imposes great environmental burden on the planet. The current food supply system often constitutes a considerable part of the total carbon emissions of urban communities in industrialised cities. Urban food production (UFP) is a method that can...journal article 2022
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Conti, M. (author), Khandhar, Shubham (author), Vinod, P. (author)With the ever-increasing threat of malware attacks, building an effective malware classifier to detect malware promptly is of utmost importance. Malware visualization approaches and deep learning techniques have proven effective in classifying sophisticated malware from benchmark datasets. A major problem with traditional deep learning...journal article 2022
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Shirekar, O.K. (author), Jamali-Rad, H. (author)Unsupervised learning is argued to be the dark matter of human intelligence. To build in this direction, this paper focuses on unsupervised learning from an abundance of unlabeled data followed by few-shot fine-tuning on a downstream classification task. To this aim, we extend a recent study on adopting contrastive learning for self...conference paper 2022
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Khandhar, Shubham (author)With the ever-increasing threat of malware attacks, building an effective malware classifier to detect malware promptly is of utmost importance. Malware is constantly growing and evolving with the use of sophisticated obfuscation techniques. Thus, classifying malware accurately becomes a tough challenge. Malware visualization approaches and deep...master thesis 2021
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ten Caat, P.N. (author), Graamans, L.J.A. (author), Tenpierik, M.J. (author), van den Dobbelsteen, A.A.J.F. (author)The municipality of Amsterdam has set stringent carbon emission reduction targets: 55% by 2030 and 95% by 2050 for the entire metropolitan area. One of the key strategies to achieve these goals entails a disconnection of all households from the natural gas supply by 2040 and connecting them to the existing city-wide heat grid. This paper aims to...journal article 2021
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Hagen, Jenny Sjåstad (author), Cutler, Andrew (author), Trambauer, Patricia (author), Weerts, Albrecht (author), Suarez, Pablo (author), Solomatine, D.P. (author)Forecast-based financing is a financial mechanism that facilitates humanitarian actions prior to anticipated floods by triggering release of pre-allocated funds based on exceedance of flood forecast thresholds. This paper presents a novel model suitability matrix that embeds application-specific needs and contingencies at local level on a...journal article 2020
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Manousogiannis, Manolis (author)Online social networks have revolutionized the way people interact with each other nowadays. Users often share their experiences in various health - related topics like disease symptoms, drug treatments and other medical related issues in order to discuss with other patients dealing with similar conditions. During the production of a new drug,...master thesis 2019
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Island, J.O. (author)In this thesis we investigate superconducting hybrids made from two material systems, namely, molecules and layered materials. For studies of superconducting phenomena in molecular junctions we develop two platforms which rely on the superconducting proximity effect to preserve pre-existing nano-gap formation techniques and bonding chemistries....doctoral thesis 2016
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Peñailillo Burgos, R. (author), Lemans, J.M. (author)De afgelopen jaren is de problematiek van koelwaterlozingen in relatie tot hoge watertemperatuur van de grote rivieren regelmatig in de actualiteit gekomen. Volgens het Ministerie van Verkeer en Waterstaat (2008) is sinds 1900 de watertemperatuur van de Rijn bij Lobith met 3°C toegenomen, waarvan 2°C door warmtelozingen en 1°C door...report 2009
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Verzijl, C.J.O. (author)On the design and implementation of integral-conservative numerical integration schemes for few-body problems in astrodynamics. Focuses on exact and approximate energy and angular-momentum integrals in the Jacobi 3-body problem, and related Jacobi-type integrals in the circular restricted 3-body problem and a 4-body model for ballistic lunar...master thesis 2007