Searched for: subject%3A%22Meta%22
(1 - 20 of 104)

Pages

document
Ni, Xinrui (author), Hu, Wei (author), Fan, Q. (author), Cui, Yibing (author), Qi, Chongkai (author)
Artificial bee colony (ABC) is a prominent algorithm that offers great exploration capabilities among various meta-heuristic algorithms. However, its monotonous and one-dimensional search strategy limits its searching performance in the solving process. Thus, to address this issue, a Q-learning based multi-strategy integrated ABC algorithm ...
journal article 2024
document
Martinelli, Cristiano (author), Coraddu, A. (author), Cammarano, Andrea (author)
Meta-heuristic optimisation algorithms are high-level procedures designed to discover near-optimal solutions to optimisation problems. These strategies can efficiently explore the design space of the problems; therefore, they perform well even when incomplete and scarce information is available. Such characteristics make them the ideal...
conference paper 2024
document
van Leeuwen, Sander (author)
Language is an intuitive and effective way for humans to communicate. Large Language Models (LLMs) can interpret and respond well to language. However, their use in deep reinforcement learning is limited as they are sample inefficient. State-of-the-art deep reinforcement learning algorithms are more sample efficient but cannot understand...
master thesis 2023
document
den Blanken, Douwe (author)
The growing interest in edge computing is driving the demand for more efficient deep learning models that fit into resource-constrained edge devices like Internet-of-Things (IoT) sensors. The challenging limitations of these devices in terms of size and power has given rise to the field of tinyML, focusing on enabling low-cost machine learning...
master thesis 2023
document
Ramezani, Shayan (author)
Bayesian Optimization (BO) has demonstrated significant utility across numerous applications. However, due to it being designed as a universal optimizer, its performance can often be suboptimal in specialized environments. To overcome this issue, research has been conducted into the application of transfer learning for enhancing BO performance...
bachelor thesis 2023
document
Üzel, Ziyar (author)
Accurate short-term traffic forecasting plays a crucial role in Intelligent Transportation Systems for effective traffic management and planning. In this study, the performances of three popular forecasting models are explored: Long Short-Term Memory (LSTM), Autoregressive Integrated Moving Average (ARIMA), and Facebook's Prophet, for short-term...
bachelor thesis 2023
document
Socol, Codrin (author)
Learning curves are used to shape the performance of a Machine Learning (ML) model with respect to the size of the set used for training it. It was commonly thought that adding more training samples would increase the model's accuracy (i.e., they are monotone), but recent works show that may not always be the case. In other words, some learners...
bachelor thesis 2023
document
de Inza Niemeijer, Carlos (author)
The continued increase in the number of satellites in low Earth orbit has led to a growing threat of collisions between space objects. On-orbit servicing and active debris removal missions can alleviate this threat by extending the lifetime of active satellites and deorbiting inactive ones, but this requires advanced guidance and control...
master thesis 2023
document
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
document
Heijnen, Sabine (author)
One of the biggest challenges of the century is the fight against global warming. In all sectors people are doing their best to reduce their carbon footprints and their impact on the environment. In the energy sector this is done by making use of renewable energy sources (RES), such as wind turbines, instead of fossil fuels. This transition to...
master thesis 2023
document
Abbas, A.E. (author), Zuiderwijk-van Eijk, A.M.G. (author), Ofe, H.A. (author), de Reuver, Mark (author)
Investigating meta-platforms has been a continuing concern within information system literature due to the increasingly complex constellations of platforms in ecologies of ecosystems. A meta-platform is a platform built on top of two or more platforms, hence connecting their respective ecosystems. One promising case to benefit from meta...
conference paper 2023
document
Abbas, A.E. (author), Agahari, W. (author), Zuiderwijk-van Eijk, A.M.G. (author), Ofe, H.A. (author), de Reuver, Mark (author)
The landscape of platform ecosystems is becoming increasingly complex, with new types of platforms emerging that glue together otherwise fragmented ecosystems. One recent case is metaplatforms that can contribute to the European Data Economy by interconnecting data marketplaces; however, meta-platforms may intensify data sovereignty concerns:...
conference paper 2023
document
Mosses, P.D. (author)
Software language design and implementation often involve specifications written in various esoteric meta-languages. Language workbenches generally include support for precise name-based navigation when browsing language specifications <i>locally</i>, but such support is lacking when browsing the same specifications <i>online</i> in code...
conference paper 2023
document
Hesam Mahmoudi Nezhad, N. (author), Ghaffarian Niasar, M. (author), Hagen, C.W. (author), Kruit, P. (author)
To design electron lens systems, applying a fully automated optimization routine has not yet been feasible, especially for the case where the optimization has many free variables of the lens system, such as all parameters that define the geometry of the lens electrodes and the voltage of each electrode. Hence, the study of the implementation of...
conference paper 2023
document
Liu, Wei (author), Lu, Hairong (author), Li, Peikai (author), van der Linden, Dimitri (author), Bakker, A.B. (author)
Flow is an optimal state that contributes positively to individual well-being and performance. Despite growing evidence of its antecedents and outcomes at work, few efforts have been made to systematically examine and synthesize the extant findings to advance the theoretical and empirical development of flow. Combining different perspectives ...
journal article 2023
document
Yarali, E. (author), Zadpoor, A.A. (author), Staufer, U. (author), Accardo, A. (author), Mirzaali, Mohammad J. (author)
Mechanical and morphological design parameters, such as stiffness or porosity, play important roles in creating orthopedic implants and bone substitutes. However, we have only a limited understanding of how the microarchitecture of porous scaffolds contributes to bone regeneration. Meta-biomaterials are increasingly used to precisely engineer...
review 2023
document
Mohr, Felix (author), Viering, T.J. (author), Loog, M. (author), van Rijn, Jan N. (author)
The use of learning curves for decision making in supervised machine learning is standard practice, yet understanding of their behavior is rather limited. To facilitate a deepening of our knowledge, we introduce the Learning Curve Database (LCDB), which contains empirical learning curves of 20 classification algorithms on 246 datasets. One of...
conference paper 2023
document
van Teeffelen, Jop (author)
The demand for online shopping has grown tremendously in the last couple of years. Picnic, a major player in the online grocery industry, is struggling to achieve long-term growth within its current operations. Scheduling and planning are key drivers for maintaining operational efficiency. The Fulfilment Centre (FC) and...
master thesis 2022
document
Kliučininkas, Paulius (author)
The integrated, cross-border, cross-territorial and macro-regional planning paradigm is recalibrating the world and planning practice all around the globe. The Baltic Sea Region (BSR) has become one of the exemplary models of macro-regional practice in the European Union (EU) context. It is recognized as a flexible entity due to its activities,...
master thesis 2022
document
Buskes, Viktor (author)
Vibrations and disturbances are becoming more of a concern as lightweight, flexible structures in high-tech systems are pushed towards faster speeds and higher precision. Active Vibration Control (AVC) methods have been effectively used to attenuate vibrations and increase the bandwidth of these systems. With the miniaturisation of electronics,...
master thesis 2022
Searched for: subject%3A%22Meta%22
(1 - 20 of 104)

Pages