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Shichang Xiao, Jinshan Huang, Hongtao Hu and Yuxin Gu
Automatic guided vehicles (AGVs) in the horizontal area play a crucial role in determining the operational efficiency of automated container terminals (ACTs). To improve the operational efficiency of an ACT, it is essential to decrease the impact of batt...
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Antonella Nardin and Fabio D?Andreagiovanni
Electric scooter sharing mobility services have recently spread in major cities all around the world. However, the bad parking behavior of users has become a major source of issues, provoking accidents and compromising urban decorum of public areas. Redu...
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Rachid Belaroussi, Elie Issa, Leonardo Cameli, Claudio Lantieri and Sonia Adelé
Human impression plays a crucial role in effectively designing infrastructures that support active mobility such as walking and cycling. By involving users early in the design process, valuable insights can be gathered before physical environments are co...
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Jiaming Su, Minghua Hu, Yingli Liu and Jianan Yin
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Guobiao Yao, Jin Zhang, Jianya Gong and Fengxiang Jin
To promote the development of deep learning for feature matching, image registration, and three-dimensional reconstruction, we propose a method of constructing a deep learning benchmark dataset for affine-invariant feature matching. Existing images often...
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Montaña Jiménez-Espada, Francisco Manuel Martínez García and Rafael González-Escobar
Among the priority concerns that figure in the public manager?s portfolio, the existing problems in cities when planning a more efficient management of urban space are well known. Within the wide range of reflections that local corporations consider, one...
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Nasser Lotfi and Mazyar Ghadiri Nejad
Multi-objective task graph scheduling is a well-known NP-hard problem that plays a significant role in heterogeneous distributed systems. The solution to the problem is expected to optimize all scheduling objectives. Pretty large state-of-the-art algorit...
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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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Min Tang, Bin Ji, Xiaoping Fang and Samson S. Yu
The continuous berth allocation and quay crane assignment problem considers the size of berths and ships, the number of quay cranes, the dynamic ships and non-crossing constraints of quay cranes. In this work, a mixed-integer linear programming model of ...
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Daniela Ambrosino, Carmine Cerrone and Anna Sciomachen
This paper presents a new heuristic algorithm tailored to solve large instances of an NP-hard variant of the shortest path problem, denoted the cost-balanced path problem, recently proposed in the literature. The problem consists in finding the origin?de...
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