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Li, H. (author), Ribeiro, M.J. (author), Santos, Bruno F. (author), Tseremoglou, I. (author)
Aircraft maintenance scheduling is a focus point for airlines. Maintenance is essential to ensure the airworthiness of aircraft, but it comes at the cost of rendering them unavailable for operations. In current operations, aircraft maintenance scheduling must often be updated to include time for non-routine and non-schedule tasks. These non...
conference paper 2024
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Lin, P. (author), Liu, X. (author), Ren, S. (author), Li, Yi (author), Erkens, S. (author), Welvaarts, B. (author), Brouns, K. (author)
Developed by Delft University of Technology, the tri-component polyurethane modified cold binder (PMCB) displays impressive durability and strength in asphalt mixtures, showing promise as a reliable binder for cold in-place recycling. However, when applying PMCB for rapid, in-situ recycling, the presence of moisture in reclaimed asphalt...
conference paper 2024
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Li, Xinqi (author), Zhang, Y. (author), Zhao, Y. (author), van Gemert, J.C. (author), Tao, Q. (author)
Quantitative cardiac magnetic resonance imaging (MRI) is an increasingly important diagnostic tool for cardiovascular diseases. Yet, co-registration of all baseline images within the quantitative MRI sequence is essential for the accuracy and precision of quantitative maps. However, co-registering all baseline images from a quantitative...
conference paper 2024
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Yu, Fuyang (author), Wang, Zhen (author), Li, Dongyuan (author), Zhu, P. (author), Liang, Xiaohui (author), Wang, Xiaochuan (author), Okumura, Manabu (author)
Cross-modal retrieval, as an important emerging foundational information retrieval task, benefits from recent advances in multimodal technologies. However, current cross-modal retrieval methods mainly focus on the interaction between textual information and 2D images, lacking research on 3D data, especially point clouds at scene level,...
conference paper 2024
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Li, T. (author), Xu, L. (author), Erkin, Z. (author), Lagendijk, R.L. (author)
With the fast development of e-commerce, there is a higher demand for timely delivery. Logistic companies want to send receivers a more accurate arrival prediction to improve customer satisfaction and lower customer retention costs. One approach is to share (near) real-time location data with recipients, but this also introduces privacy and...
conference paper 2024
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Völker, W.J.E. (author), Li, Y. (author), van Kampen, E. (author)
Recent research on the Flying V - a flying-wing long-range passenger aircraft - shows that its airframe design is 25% more aerodynamically efficient than a conventional tube-and-wing airframe. The Flying V is therefore a promising contribution towards reduction in climate impact of long-haul flights. However, some design aspects of the Flying V...
conference paper 2023
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Liu, Minne (author), Ibrahim, Mesfin S. (author), Wen, Minzhen (author), Li, Sheng (author), Wang, An (author), Zhang, Kouchi (author), Fan, J. (author)
Spectral power distribution (SPD) is the radiation power intensity at different wavelengths, containing the most basic photometric and colorimetric performance of the illuminant, which is able to predict the lifetime of LEDs. This paper proposes an SPD model assisted by machine learning algorithms to detect the early failure of white LEDs. The...
conference paper 2023
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Li, Y. (author), Broz, F. (author), Neerincx, M.A. (author)
Assistive robots are expected to contribute to the solution of major societal problems in healthcare, such as the increasing number of elderly who need informal and professional care over a long period of time. Most of the research focuses on the development of humanlike robots to facilitate human-robot interaction and strengthen the social,...
conference paper 2023
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Li, Y. (author), van Kampen, E. (author)
This paper deals with the design of an adaptive optimal controller for a fixed-wing Unmanned Aerial Vehicle(UAV) using an incremental value iteration algorithm. The incremental model is firstly introduced to linearize a nonlinear system. The recursive least squares(RLS) identification algorithm is then used to identify the incremental model....
conference paper 2023
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Zheng, Jingjing (author), Li, Kai (author), Mhaisen, N. (author), Ni, Wei (author), Tovar, Eduardo (author), Guizani, Mohsen (author)
Federated learning (FL) is increasingly considered to circumvent the disclosure of private data in mobile edge computing (MEC) systems. Training with large data can enhance FL learning accuracy, which is associated with non-negligible energy use. Scheduled edge devices with small data save energy but decrease FL learning accuracy due to a...
conference paper 2023
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Duan, Di (author), Yang, Huanqi (author), Lan, G. (author), Li, Tianxing (author), Jia, Xiaohua (author), Xu, Weitao (author)
This paper presents EMGSense, a low-effort self-supervised domain adaptation framework for sensing applications based on Electromyography (EMG). EMGSense addresses one of the fundamental challenges in EMG cross-user sensing—the significant performance degradation caused by time-varying biological heterogeneity—in a low-effort (data-efficient and...
conference paper 2023
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Li, Z. (author), Sun, W. (author), Hai, R. (author), Bozzon, A. (author), Katsifodimos, A (author)
The proliferation of pre-trained ML models in public Web-based model zoos facilitates the engineering of ML pipelines to address complex inference queries over datasets and streams of unstructured content. Constructing optimal plan for a query is hard, especially when constraints (e.g. accuracy or execution time) must be taken into consideration...
conference paper 2023
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Li, Roger Zhe (author), Urbano, Julián (author), Hanjalic, A. (author)
Mainstream bias, where some users receive poor recommendations because their preferences are uncommon or simply because they are less active, is an important aspect to consider regarding fairness in recommender systems. Existing methods to mitigate mainstream bias do not explicitly model the importance of these non-mainstream users or, when...
conference paper 2023
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Li, Z. (author), Hai, R. (author), Katsifodimos, A (author), Bozzon, A. (author)
Machine learning (ML) researchers and practitioners are building repositories of pre-trained models, called model zoos. These model zoos contain metadata that detail various properties of the ML models and datasets, which are useful for reporting, auditing, reproducibility, and interpretability. Unfortunately, the existing metadata...
conference paper 2023
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Li, H. (author), Mentens, Nele (author), Picek, S. (author)
SHA-3 is considered to be one of the most secure standardized hash functions. It relies on the Keccak-f[1 600] permutation, which operates on an internal state of 1 600 bits, mostly represented as a 5 x 5 x 64-bit matrix. While existing implementations process the state sequentially in chunks of typically 32 or 64 bits, the Keccak-f[1 600]...
conference paper 2023
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Yu, G. (author), Tang, J. (author), Li, L. (author), Rossen, W.R. (author)
The main objective of this study is to understand the vertical sweep efficiency with miscible CO2-water-coinjection as a secondary recovery method, from multiple perspectives: phase behavior, total relative mobility, fluid densities/viscosities, the driving forces and consequent phase distributions etc. We also seek to provide insights into...
conference paper 2023
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Li, A.L. (author), Verschuur, D.J. (author), Abolhassani, S. (author)
Seismic imaging is crucial for subsurface exploration and monitoring, with a focus on deep and complex structures. Seismic wave migration solves the wave equation, and an accurate propagator is essential. Full Wavefield Modeling (FWMod) was developed based on recursive and iterative up/down wavefield propagation, modeling both primaries and...
conference paper 2023
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Li, Xueliang (author), Xue, H. (author)
This paper presents an eight-day design studio that teaches heuristic evaluation of games to third-year bachelor students at the School of Design, Southern University of Science and Technology. Through this course, students gain the first-hand experiences of developing heuristics for games through online survey and using them in idea generation...
conference paper 2023
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Li, Z. (author), Schonfeld, Mariette (author), Hai, R. (author), Bozzon, A. (author), Katsifodimos, A (author)
Given a set of pre-trained Machine Learning (ML) models, can we solve complex analytic tasks that make use of those models by formulating ML inference queries? Can we mitigate different tradeoffs, e.g., high accuracy, low execution costs and memory footprint, when optimizing the queries? In this work we present different multi-objective ML...
conference paper 2023
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Li, S. (author)
Multivariate distributions are indispensable tools for modeling complex data structures with multiple dependent variables. Despite extensive research on discrete multivariate distributions, the multivariate Poisson distribution remains inadequately defined. However, multivariate Poisson counts are not rare and have gained considerable attention...
conference paper 2023
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