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Lovell-Prescod, Gervase H.L.H. (author), Ma, Z. (author), Smeur, E.J.J. (author)
Tailsitter Micro Air Vehicles with two rotors are promising due to their simplicity and efficient forward flight, but actuator saturation due to ineffective pitch control at a high angle of attack flight is a challenge limiting the flight envelope. This paper proposes a novel tilt-rotor tailsitter design which features two tilting rotors as...
conference paper 2023
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Trentin, Vinicius (author), Ma, Chenxu (author), Villagra, Jorge (author), Al-Ars, Z. (author)
Motion prediction is a key factor towards the full deployment of autonomous vehicles. It is fundamental in order to assure safety while navigating through highly interactive complex scenarios. In this work, the framework IAMP (Interaction-Aware Motion Prediction), producing multi-modal probabilistic outputs from the integration of a Dynamic...
conference paper 2023
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Dong, Y. (author), Chen, Kejia (author), Ma, Zhiyuan (author)
Condition-based maintenance is becoming increasingly important in hydraulic systems. However, anomaly detection for these systems remains challenging, especially since that anomalous data is scarce and labeling such data is tedious and even dangerous. Therefore, it is advisable to make use of unsupervised or semi-supervised methods, especially...
conference paper 2023
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Ma, Yao (author), Abbas, T. (author), Gadiraju, Ujwal (author)
Crowd-powered conversational systems (CPCS) solicit the wisdom of crowds to quickly respond to on-demand users' needs. The very factors that make this a viable solution - -such as the availability of diverse crowd workers on-demand - - also lead to great challenges. The ever-changing pool of online workers powering conversations with...
conference paper 2023
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Zhang, Xiaoyu (author), Li, Jianping (author), Chi, Po Wei (author), Chandrasegaran, R.S.K. (author), Ma, Kwan Liu (author)
With the most advanced natural language processing and artificial intelligence approaches, effective summarization of long and multi-topic documents - such as academic papers - for readers from different domains still remains a challenge. To address this, we introduce ConceptEVA, a mixed-initiative approach to generate, evaluate, and...
conference paper 2023
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Ma, Huidong (author), Zhong, Cheng (author), Sun, Hui (author), Chen, Danyang (author), Lin, H.X. (author)
The mobile element variant is a very important structural variant, accounting for a quarter of structural variants, and it is closely related to many issues such as genetic diseases and species diversity. However, few detection algorithms of mobile element variants have been developed on third-generation sequencing data. We propose an...
conference paper 2023
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Wang, Yujie (author), Zhang, Qunfei (author), Ma, Shengqian (author), Zhang, Lingling (author), Han, Jing (author), Leus, G.J.T. (author)
Differential orthogonal signal-division multiplexing (OSDM) is attractive for underwater acoustic (UWA) communications because it can eliminate channel estimation, resulting in a substantial reduction of complexity at the receiver. However, when the channel is time-varying, it may suffer from serious inter-vector interference (IVI), which is...
conference paper 2023
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Abate, Alessandro (author), Blom, H.A.P. (author), Delicaris, Joanna (author), Haesaert, Sofie (author), Hartmanns, Arnd (author), van Huijgevoort, Birgit (author), Lavaei, Abolfazl (author), Ma, H. (author), Niehage, Mathis (author), Remke, Anne (author)
This report presents the results of a friendly competition for formal verification and policy synthesis of stochastic models. It also introduces new benchmarks and their properties within this category and recommends next steps for this category towards next year’s edition of the competition. In comparison with tools on non-probabilistic models,...
conference paper 2022
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Draganov, D.S. (author), Ma, X. (author), Heller, H.K.J. (author), Kirichek, Alex (author)
Knowledge about the characteristics of fluid mud in ports and waterways would allow safer navigating through fluid mud. The properties of the fluid mud determine the feasibility of navigating vessels through the fluid mud. Seismic waves have the potential to help characterize the fluid-mud layers, especially when both P- and S-waves are used....
conference paper 2022
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Xu, Jingyi (author), Li, Z. (author), Gao, Li (author), Ma, Junyi (author), Liu, Qi (author), Zhao, Yanan (author)
The deep reinforcement learning-based energy management strategies (EMS) have become a promising solution for hybrid electric vehicles (HEVs). When driving cycles are changed, the neural network will be retrained, which is a time-consuming and laborious task. A more efficient way of choosing EMS is to combine deep reinforcement learning (DRL)...
conference paper 2022
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Ahmad, T. (author), Ma, Chengxin (author), Al-Ars, Z. (author), Hofstee, H.P. (author)
Current cluster scaled genomics data processing solutions rely on big data frameworks like Apache Spark, Hadoop and HDFS for data scheduling, processing and storage. These frameworks come with additional computation and memory overheads by default. It has been observed that scaling genomics dataset processing beyond 32 nodes is not efficient on...
conference paper 2022
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Dong, Y. (author), Chen, Kejia (author), Peng, Yinxuan (author), Ma, Zhiyuan (author)
As the central nerve of the intelligent vehicle control system, the in-vehicle network bus is crucial to the security of vehicle driving. One of the best standards for the in-vehicle network is the Controller Area Network (CAN bus) protocol. However, the CAN bus is designed to be vulnerable to various attacks due to its lack of security...
conference paper 2022
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Ma, L. (author), Kitsak, M.A. (author), Van Mieghem, P.F.A. (author)
Despite many studies on the transmission mechanism of the Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), it remains still challenging to efficiently reduce mortality. In this work, we apply a two-population Susceptible-Infected-Removed (SIR) model to investigate the COVID-19 spreading when contacts between elderly and non...
conference paper 2022
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Zhang, Jingxiao (author), Ma, Yuwei (author), Zheng, Jiazheng (author)
The widespread application of alkali-activated fly ash/slag (AAFS) concrete requires satisfaction of a series of performance criteria both from its early age properties (e.g. workability, strength) and long-term stability. In this study, long-term (till 180 days) natural chloride diffusion tests were conducted to evaluate the chloride diffusion...
conference paper 2021
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Guo, Wenhao (author), Hu, Jie (author), Ma, Yuwei (author), Huang, Haoliang (author), Wei, Jiangxiong (author), Yu, Qijun (author)
Impressed current cathodic protection (ICCP) is an effective corrosion protection and prevention technique for reinforced concrete structures served in chloride-contaminated environment. The acidification damage in the external anode mortar caused by the anodic reactions significantly influences the efficiency of ICCP for reinforced concrete....
conference paper 2021
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Abate, Alessandro (author), Blom, H.A.P. (author), Bouissou, Marc (author), Cauchi, Nathalie (author), Chraibi, Hassane (author), Delicaris, Joanna (author), Haesaert, Sofie (author), Hartmanns, Arnd (author), Ma, H. (author)
This report presents the results of a friendly competition for formal verification and<br/>policy synthesis of stochastic models. It also introduces new benchmarks within this category, and recommends next steps for this category towards next year's edition of the competition. The friendly competition took place as part of the workshop Applied...
conference paper 2021
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Thonet, Thibaut (author), Clinchant, Stéphane (author), Lassance, Carlos (author), Isufi, E. (author), Ma, Jiaqi (author), Xie, Yutong (author), Renders, Jean Michel (author), Bronstein, Michael (author)
Graph neural networks (GNNs) have recently gained significant momentum in the recommendation community, demonstrating state-of-the-art performance in top-k recommendation and next-item recommendation. Despite promising results on GNN-based recommendation and search, most of the current GNN research remains essentially concentrated on more...
conference paper 2021
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Zhang, Xiaoyu (author), Chandrasegaran, R.S.K. (author), Ma, Kwan Liu (author)
Current text visualization techniques typically provide overviews of document content and structure using intrinsic properties such as term frequencies, co-occurrences, and sentence structures. Such visualizations lack conceptual overviews incorporating domain-relevant knowledge, needed when examining documents such as research articles or...
conference paper 2021
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Ma, L. (author), Sanders, Jaron (author)
We study a classical model for the accumulation of errors in multi-qubit quantum computations. By modeling the error process in a quantum computation using two coupled Markov chains, we are able to capture a weak form of time-dependency between errors in the past and future. By subsequently using techniques from the field of discrete...
conference paper 2021
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Ma, Bingtao (author), Liu, Hongsen (author), Nan, L. (author), Tang, Xu (author), Fan, Huijie (author), Cong, Yang (author)
The 3D mesh is an important representation of geometric data. It is widely used in computer graphics and has attracted more attention in computer vision community recently. However, in the generation of mesh data, geometric deficiencies (e.g., duplicate elements, degenerate faces, isolated vertices, self-intersection, and inner faces) are...
conference paper 2021
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