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Paul Lee, Gerasimos Theotokatos and Evangelos Boulougouris
Autonomous ships are expected to extensively rely on perception sensors for situation awareness and safety during challenging operations, such as reactive collision avoidance. However, sensor noise is inevitable and its impact on end-to-end decision-maki...
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Sarantis Kalafatidis, Sotiris Skaperas, Vassilis Demiroglou, Lefteris Mamatas and Vassilis Tsaoussidis
The Internet of Things (IoT) is a key technology for smart community networks, such as smart-city environments, and its evolution calls for stringent performance requirements (e.g., low delay) to support efficient communication among a wide range of obje...
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Grigorios Kakkavas, Vasileios Karyotis and Symeon Papavassiliou
This paper focuses on the design, implementation, experimental validation, and evaluation of a network tomography approach for performing inferential monitoring based on indirect measurements. In particular, we address the problems of inferring the routi...
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Mihaela Mitici and Ingeborg de Pater
Remaining-useful-life prognostics for aircraft components are central for efficient and robust aircraft maintenance. In this paper, we propose an end-to-end approach to obtain online, model-based remaining-useful-life prognostics by learning from cluster...
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Sergej Bock, Christian Kijatkin, Dirk Berben and Mirco Imlau
This paper addresses the challenging task of optical characterization of pure, dielectric (nano-)powders with the aim to provide an end-to-end instruction from appropriate sample preparation up to the determination of material remission and absorption sp...
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Ming Yan, Chien Aun Chan, André F. Gygax, Jinyao Yan, Leith Campbell, Ampalavanapillai Nirmalathas and Christopher Leckie
Reducing the energy consumption of Internet services requires knowledge about the specific traffic and energy consumption characteristics, as well as the associated end-to-end topology and the energy consumption of each network segment. Here, we propose ...
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Anping Song, Zuoyu Wu, Xuehai Ding, Qian Hu and Xinyi Di
Facial nerve paralysis (FNP) is the most common form of facial nerve damage, which leads to significant physical pain and abnormal function in patients. Traditional FNP detection methods are based on visual diagnosis, which relies solely on the physician...
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Salaheddin Hosseinzadeh, Mahmood Almoathen, Hadi Larijani and Krystyna Curtis
Among the many technologies competing for the Internet of Things (IoT), one of the most promising and fast-growing technologies in this landscape is the Low-Power Wide-Area Network (LPWAN). Coverage of LoRa, one of the main IoT LPWAN technologies, has pr...
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Chen, Thomas M; Adams, Andrew; Bu, Tian; Friedman, Timur; Horowitz, Joseph;
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