Searched for: subject%3A%22Continuity%22
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Dekhovich, A. (author)
Deep learning models have made enormous strides over the past decade. However, they still have some disadvantages when dealing with changing data streams. One of these flaws is the phenomenon called catastrophic forgetting. It occurs when a model learns multiple tasks sequentially, having access only to the data of the current task. However,...
doctoral thesis 2024
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Jungbauer, Alois (author), Satzer, Peter (author), Duerauer, Astrid (author), Azevedo, Ana (author), Aires-Barros, Raquel (author), Nilsson, Bernt (author), Farid, Suzy (author), Goldrick, Stephen (author), Ottens, M. (author)
The main objectives of bioprocesses are to reliably deliver drugs in a relatively short time frame with high quality within a tight regulatory framework. Bioprocesses are highly complex, the level of automation is moderate, and there is constant pressure to improve efficiency and costs. In addition, climate change and resource scarcity...
review 2024
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Ketelaar, Bas (author)
Artificial intelligence has a strong need for faster and more energy-efficient solutions, especially for computation performed at the sensor edge. On-chip photonic neural networks (PNNs) offer a promising solution for high speeds and energy efficiency. A less explored side of PNNs is their application to time-series data, which is often the case...
master thesis 2024
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Hagen, Koen (author)
As data centers worldwide consume more power than ever, lowering the energy consumption of software is increasingly important. Software energy testing is often unclear due to a lack of comparable baselines. In this paper, we look at the use of regression testing to alleviate some of the struggles with energy testing. We introduce E-Compare, a...
master thesis 2024
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Struharová, Natália (author)
Continuous Integration (CI) has become a cornerstone of modern software development, gaining widespread adoption due to its ability to facilitate frequent and dependable code integration. However, its benefits are offset by high computational costs and energy consumption, particularly in the build phase. With its growing popularity, it is...
master thesis 2024
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Westerveld, Timo (author)
The effect of creating parallel welds in a single overlap using continuous ultrasonic welding on the weld quality has been investigated, with the goal of creating three high-quality parallel welds. To achieve this, multiple aspects were examined to understand the creation of high-quality parallel welds. The weld quality is highly influenced by a...
master thesis 2024
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Maassen, Axelle (author)
This thesis discusses the heritage approach of adaptive reuse as a way to preserve and protect abandoned churches in Limburg. For this, a discussion is had on the social and cultural dynamic and history of Limburg. This is a province in the Netherlands with a deep historical connection to the Catholic religion. This paper explores the province’s...
student report 2024
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Raghunandan, Mithun (author)
This research investigates the role of time prediction accuracy in optimizing Continuous Descent Operations (CDO) within the aviation sector, with a specific focus on assessing the additional benefits brought forth by the integration of Air-Ground Datalink technologies. Continuous Descent Operations, characterized by uninterrupted and efficient...
master thesis 2024
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de Grijff, Danny (author)
The ever-growing demand for high-performance materials and more functional 3D printing has raised tremendous interest in advancing Multi-Material Additive Manufacturing (MMAM). Developing C-FRTP 3D printing through FDM Technology opens new scalable FRP solutions. These components possess exceptional properties such as specific strength,...
master thesis 2024
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Qin, Xusen (author)
Neural networks have made significant progress in domains like image recognition and natural language processing. However, they encounter the challenge of catastrophic forgetting in continual learning tasks, where they sequentially learn from distinct datasets. Learning a new task can lead to forgetting important information from previous tasks,...
master thesis 2024
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Homborg, A.M. (author), Mol, J.M.C. (author), Tinga, Tiedo (author)
This paper for the first time treats the interpretation of electrochemical noise time-frequency spectra as an image classification problem. It investigates the application of a convolutional neural network (CNN) for deep learning image classification of electrochemical noise time-frequency transient information. Representative slices of these...
journal article 2024
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Li, Y. (author), Zhuang, T. (author), Qian, QK (author), Mlecnik, E. (author), Visscher, H.J. (author)
In the context of increasing focus on social sustainability, neighborhood rehabilitation has emerged as a crucial component of global urban renewal initiatives. Distinct from most renewal paradigms that are usually one-offs, neighborhood rehabilitation is a long-term endeavor that requires ongoing resident participation to effectively address...
journal article 2024
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Fang, G. (author), Zhang, Tianyu (author), Huang, Yuming (author), Zhang, Zhizhou (author), Masania, K. (author), Wang, C.C. (author)
This work explores a spatial printing method to fabricate continuous fiber-reinforced thermoplastic composites (CFRTPCs), which can achieve exceptional mechanical performance. For models giving complex 3D stress distribution under loads, typical planar-layer based fiber placement usually fails to provide sufficient reinforcement due to their...
journal article 2024
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Hu, D. (author), Du, L. (author), Alfreider, Markus (author), Fan, J. (author), Kiener, Daniel (author), Zhang, Kouchi (author)
To fulfill the high-temperature application requirement of high-power electronics packaging, Cu nanoparticle sintering technology, with benefits in low-temperature processing and high-melting point, has attracted considerable attention as a promising candidate for the die-attach interconnect. Comprehensive mechanical characterization of the...
journal article 2024
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López Valcárcel, L.A. (author), Garcia Sanchez, Manuel (author), Fioranelli, F. (author), Krasnov, O.A. (author)
Mutual interference between automotive frequency-modulated continuous-wave (FMCW) radar systems has been a concern over recent years. Several interference mitigation (IM) techniques have been proposed to mitigate this phenomenon, which is deemed to grow in severity as more systems are deployed on the road. In this article, an inexpensive...
journal article 2024
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Saji, Tijin H.G. (author), Vicent-Luna, José Manuel (author), Vlugt, T.J.H. (author), Calero, Sofía (author), Bagheri, Behnaz (author)
Hydrogen peroxide plays a key role in many environmental and industrial chemical processes. We performed classical Molecular Dynamics and Continuous Fractional Component Monte Carlo simulations to calculate thermodynamic properties of H<sub>2</sub>O<sub>2</sub> in aqueous solutions. The quality of the available force fields for H<sub>2</sub>O...
journal article 2024
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Javvaji, L.S. (author), Bolatkale, M. (author), Bajoria, Shagun (author), Rutten, Robert (author), Essink, Bert Oude (author), Beijens, Koen (author), Makinwa, K.A.A. (author), Breems, L.J. (author)
Advances in CMOS technologies and circuit techniques have led to the development of continuous-time delta-sigma modulators (CTΔ Σ Ms) that sample at gigahertz (GHz) frequencies and achieve high linearity [-100 dBc and &gt;120 dBFS spurious-free dynamic ranges (SFDRs)] in wide bandwidths (&gt;100 MHz). However, at low frequencies (≤ 10 MHz),...
journal article 2024
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Khatami, Ali (author), Zaidman, A.E. (author)
To ensure the quality of software systems, software engineers can make use of a variety of quality assurance approaches, for example, software testing, modern code review, automated static analysis, and build automation. Each of these quality assurance practices have been studied in depth in isolation, but there is a clear knowledge gap when...
journal article 2024
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Gonzalez, Rodrigo A. (author), Classens, Koen (author), Rojas, Cristian R. (author), Welsh, James S. (author), Oomen, T.A.E. (author)
Block coordinate descent is an optimization technique that is used for estimating multi-input single-output (MISO) continuous-time models, as well as single-input single output (SISO) models in additive form. Despite its widespread use in various optimization contexts, the statistical properties of block coordinate descent in continuous-time...
journal article 2024
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Dekhovich, A. (author), Bessa, M.A. (author)
We introduce a new continual (or lifelong) learning algorithm called LDA-CP &amp;S that performs segmentation tasks without undergoing catastrophic forgetting. The method is applied to two different surface defect segmentation problems that are learned incrementally, i.e., providing data about one type of defect at a time, while still being...
journal article 2024
Searched for: subject%3A%22Continuity%22
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