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Chen Xia, Christian Eduardo Verdonk Gallego, Adrián Fabio Bracero, Víctor Fernando Gómez Comendador and Rosa María Arnaldo Valdés
This paper investigates the impact of trajectory predictor performance on the encounter probability generated by an adaptive conflict detection tool and examines the flexibility of the tool dependent on its adjustable thresholds, using historical radar t...
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Yi Zhang, Jie Ma, Xiaolin Qin, Yongming Li and Zuwei Zhang
Chronic diseases are severe and life-threatening, and their accurate early diagnosis is difficult. Machine-learning-based processes of data collected from the human body using wearable sensors are a valid method currently usable for diagnosis. However, i...
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Robert Clarke, Liam Fletcher, Sebastian East and Thomas Richardson
Reinforcement learning has been used on a variety of control tasks for drones, including, in previous work at the University of Bristol, on perching manoeuvres with sweep-wing aircraft. In this paper, a new aircraft model is presented representing flight...
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Muhammad Talha Siddique, Paraskevas Koukaras, Dimosthenis Ioannidis and Christos Tjortjis
The Smart Readiness Indicator (SRI) is a newly developed framework that measures a building?s technological readiness to improve its energy efficiency. The integration of data obtained from this framework with data derived from Building Information Model...
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Baris Eren Perk and Gokhan Inalhan
To control unmanned aerial systems, we rarely have a perfect system model. Safe and aggressive planning is also challenging for nonlinear and under-actuated systems. Expert pilots, however, demonstrate maneuvers that are deemed at the edge of plane envel...
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Mevlut Uzun, Mustafa Umut Demirezen and Gokhan Inalhan
This paper presents a physics-guided deep neural network framework to estimate fuel consumption of an aircraft. The framework aims to improve data-driven models? consistency in flight regimes that are not covered by data. In particular, we guide the neur...
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Jin Woo Moon, Kyung-Il Chin and Sooyoung Kim
This study proposes an artificial neural network (ANN)-based thermal control method for buildings with double skin envelopes that has rational relationships between the ANN model input and output. The relationship between the indoor air temperature and s...
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Giuliano Dall'O', Elisa Bruni and Angela Panza
School-age students spend much of their time in school buildings. The sustainability of these buildings should be a priority as better comfort with a high indoor air quality contributes to an improvement in the conditions for learning. Although new schoo...
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