- document
-
Sadon, A.P.J. (author)Het onderzoek heeft zich gericht op de ontwikkeling van een Semantisch Connectionistisch Redeneersysteem (SCORE). SCORE kan de basis vormen voor een volwaardig expertsysteem. De, voor een expertsysteem van elementair belang zijnde, fundamentele inferentie principes, kennisacquisitie principes en kennisrepresentatievormen hebben in SCORE de...master thesis 1990
- document
-
Van den Heuvel, E.T.A.L. (author)A start has been made implementing the MDS based on an Expert System with the recommended Progressive Reasoning strategy and laying the foundation for further developments. An interrupt handling is introduced that reduces the time the MDS is interrupted in its diagnosing task and therefore able to find more refined conclusions.master thesis 1992
- document
-
Harahap, G. (author)Improving the performance of Automated Speech Recognition system requires incorporating more knowledge in the model of Automated Speech Recognition system. Information such as the context of the conversation and the characteristics of the speaker can make the task of recognizing speech more accurate. The challenge is how this knowledge can be...master thesis 2010
- document
-
Dekker, M. (author)In this thesis we discuss ways to improve teaching methods for agent oriented programming. The research approach consists of several steps. First data is gathered from groups of students participating in a first year agent programming project that uses the Unreal Tournament 2004 environment. The stronger and weaker groups are analyzed in a...master thesis 2012
- document
-
Munk, J. (author)In control, the objective is to find a mapping from states to actions that steer a system to a desired reference. A controller can be designed by an engineer, typically using some model of the system or it can be learned by an algorithm. Reinforcement Learning (RL) is one such algorithm. In RL, the controller is an agent that interacts with the...master thesis 2016
- document
-
Bos, S. (author)This thesis describes how multimodal sensor data from a 3D sensor and microphone array can be processed with deep neural networks such that its fusion, the trained neural network, is a) more robust to noise, b) outperforms unimodal recognition and c) enhances unimodal recognition in absence of multimodal data. We built a framework for a complete...master thesis 2017
- document
-
Giordani, Alessandro (author)The last decade saw the rise of e-commerce trade and the shift of the manufacturing industry to the emerging economies, China first of all. In this context, the European Customs Authorities experienced an explosion of small parcels coming from e-commerce websites, often from China, and faced difficulties to detect fiscal frauds and security...master thesis 2018
- document
-
Peeters, Tom (author)In this thesis a cognitive multi-agent system is developed for the real-time strategy game StarCraft: Brood War using GOAL, a language developed at the Delft University of Technology. StarCraft provides various challenges to GOAL that it has not faced before in terms of complexity and quantity of agents. A connector is required for GOAL to...master thesis 2018
- document
-
Harianto, Stephen (author)The ever-increasing competition has led firms to higher adoption rate of technology to drive business efficiency and operation. One of the disruptive technologies of this century is Artificial Intelligence (AI), with virtual agents as one of its application. To get the maximum value of virtual agents, businesses attempt to personalize their...master thesis 2018
- document
-
Rao, Shashank (author)Sleep is a natural state of our mind and body during which our muscles heal and our memories are consolidated. It is such a habitual phenomenon that we have been viewing it as another ordinary task in our day-to-day life. However, owing to the current fast-paced, technology-driven generation, we are letting ourselves be sleep-deprived, giving...master thesis 2018
- document
-
Krishnakumar, Akhil (author)Businesses have leveraged Artificial Intelligence (AI) into many of their operational activities such as marketing, sales, and finance for its speed and cost-effectiveness. Lately, AI has also found applications in organizational recruitment processes. Unlike the conventional rule-based systems, present-day AI systems learn from data patterns...master thesis 2019
- document
-
Hermes, Nick (author)If brands that operate in the digital context do not start building their own front-end AI enabled channels, they risk falling behind on competition (White, Addison & Fritz, 2018). But as these (often traditional) organisations implement AI-systems in customer-facing practices, it slowly becomes the new front-office brand ambassadors of the...master thesis 2019
- document
-
Scholten, Jan (author)Deep Reinforcement Learning enables us to control increasingly complex and high-dimensional problems. Modelling and control design is longer required, which paves the way to numerous in- novations, such as optimal control of evermore sophisticated robotic systems, fast and efficient scheduling and logistics, effective personal drug dosing...master thesis 2019
- document
-
Ripoll Sanchez, Andrés (author)There is no doubt that the smallest spacecraft platforms (CubeSats, NanoSats and microsats) are revolutionizing the market. The possibilities of developing spacecraft through standard platforms, commercial of the shelf components and then reduced the costs of development has allowed new organizations to enter the space section. On top of that,...master thesis 2019
- document
-
Overklift Vaupel Klein, Thomas (author)University students are expected to study on their own for large amounts of time. However a lot of these hours are not spent effectively by students. Eventually students who have trouble with self-studying in an effective manner may end up failing courses because of this. When students realise they have a (self-study) problem they can seek aid...master thesis 2019
- document
-
Ruysch, Iris (author)<br/>Currently, cities are in the midst of a transportation transition, namely, from human-driven to driverless vehicles. Because of the rapid development of technology, many systems are being automated or even becoming autonomous. Autonomous means that the system is able to perform each task automatically without any human intervention. Much...master thesis 2019
- document
-
YANG, MINGHAO (author)One-Shot Neural Architecture Search (NAS) is a promising method to significantly reduce search time without any separate training. It can be treated as a Network Compression problem on the architecture parameters from an overparameterized network. However, there are two issues associated with most one-shot NAS methods. First, dependencies...master thesis 2019
- document
-
Sosa Hidalgo, Mario (author)Artificial Intelligence (AI) is one of the most groundbreaking developments of the last half-century. More and more organizations are either implementing AI or considering its application to optimize their lines of business. At the same time, this exponential growth has also raised questions regarding its ethical implications and societal...master thesis 2019
- document
-
Srinivasan, Aditya Vasan (author)The increasing availability of data, computing power & advances in the algorithms has really driven the development of Artificial Intelligence (AI) in recent years. However, many industries & societies despite realizing the value of AI are still skeptical in accepting AI, especially when several controversial incidents have come into our...master thesis 2019
- document
-
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