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Liuchang Xu, Ruichen Mao, Chengkun Zhang, Yuanyuan Wang, Xinyu Zheng, Xingyu Xue and Fang Xia
Address matching, which aims to match an input descriptive address with a standard address in an address database, is a key technology for achieving data spatialization. The construction of today?s smart cities depends heavily on the precise matching of ...
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Yong Sun, Min Ji, Fengxiang Jin and Huimeng Wang
As air users, the public is also participants in air pollution control and important evaluators of environmental protection. Therefore, understanding the public perception and response to air pollution is an essential part of improving air governance. Th...
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Hongwei Zhang, Fu Ren, Huiting Li, Renfei Yang, Shuai Zhang and Qingyun Du
Location services based on address matching play an important role in people?s daily lives. However, with the rapid development of cities, new addresses are constantly emerging. Due to the untimely updating of word segmentation dictionaries and address d...
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Ali Javidaneh, Farid Karimipour and Negar Alinaghi
An address is a specification that refers to a unique location on Earth. While there has been a considerable amount of research on the syntactic structure of addressing systems in order to evaluate and improve their quality, aspects of semantics and prag...
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Tian Lan and Paul Longley
Geocoding historical addresses is a primary yet nontrivial application of spatial analysis in historical geographic information systems (GIS) and spatial humanities. We demonstrate our endeavours of geo-referencing and visualising historical census addre...
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Qin Tian, Fu Ren, Tao Hu, Jiangtao Liu, Ruichang Li and Qingyun Du
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Guangming Ling, Xiaofeng Mu, Chao Wang and Aiping Xu
Address parsing is a crucial task in natural language processing, particularly for Chinese addresses. The complex structure and semantic features of Chinese addresses present challenges due to their inherent ambiguity. Additionally, different task scenar...
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Han Zhang, Yadong Wu, Weihan Zhang and Yuling Zhang
The precise ascertainment of stellar ages is pivotal for astrophysical research into stellar characteristics and galactic dynamics. To address the prevalent challenges of suboptimal accuracy in stellar age determination and limited proficiency in apprehe...
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Jaroslaw Kurek, Tomasz Latkowski, Michal Bukowski, Bartosz Swiderski, Mateusz Lepicki, Grzegorz Baranik, Bogusz Nowak, Robert Zakowicz and Lukasz Dobrakowski
In the evolving realities of recruitment, the precision of job?candidate matching is crucial. This study explores the application of Zero-Shot Recommendation AI Models to enhance this matching process. Utilizing advanced pretrained models such as all-Min...
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Afzaal Hassan, Mark Wallace, Irene Moser and Daniel D. Harabor
Ridesharing effectively tackles urban mobility challenges by providing a service comparable to private vehicles while minimising resource usage. Our research primarily concentrates on dynamic ridesharing, which conventionally involves connecting drivers ...
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Amirreza Nickkar and Young-Jae Lee
Recent advancements in technology have increased the potential for demand-responsive feeder transit services to enhance mobility in areas with limited public transit access. For long rail headways, feeder bus network algorithms are straightforward, as th...
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Guoqing Zhang, Junxin Li, Huimin Zeng, Wan Li, Qiang Wang and Aibing Huang
The femur supports the entire body weight, and any damage or necrosis to this bone can significantly impair normal walking. Therefore, repairing the femur is essential to restoring its function. However, due to variations in human bone structure, standar...
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Jie Cao, Ru-Xuan Zhang, Chao-Qiang Liu, Yuan-Bo Yang and Chin-Ling Chen
Daily load forecasting is the basis of the economic and safe operation of a power grid. Accurate prediction results can improve the matching of microgrid energy storage capacity allocation. With the popularization of smart meters, the interaction between...
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Pu Liu, Lieshan Zhang and Meibao Wang
To address the lack of fast and high-precision in situ measurement of large-sized pipes in current industrial applications, a pipe-diameter-measurement method based on stereo vision is designed in this paper. By using multiple sets of binocular cameras t...
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Yuli Wang, Hui Liu and Nan Chen
This paper proposes a 3D vehicle-detection algorithm based on multimodal feature fusion to address the problem of low vehicle-detection accuracy in unmanned system environment awareness. The algorithm matches the coordinate relationships between the two ...
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Yazhi Liu, Dongyu Wei, Chunyang Zhang and Wei Li
In QoE fairness optimization of multiple video streams, a distributed video stream fairness scheduling strategy based on federated deep reinforcement learning is designed to address the problem of low bandwidth utilization due to unfair bandwidth allocat...
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Hala Alqobali and Daniel Li
This paper examined the effect of two selling processes in the UK market: takeover offers and schemes of arrangement. The latter is argued to allow a bidder to acquire a target company more cheaply and easily because schemes provide a lower threshold of ...
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Riccardo Spezialetti, Samuele Salti and Luigi Di Stefano
Matching surfaces is a challenging 3D Computer Vision problem typically addressed by local features. Although a plethora of 3D feature detectors and descriptors have been proposed in literature, it is quite difficult to identify the most effective detect...
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Uthman Baroudi, Mohammad Alshaboti, Anis Koubaa and Sahar Trigui
In this paper, we address the problem of online dynamic multi-robot task allocation (MRTA) problem. In the existing literature, several works investigated this problem as a multi-objective optimization (MOO) problem and proposed different approaches to s...
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Iman Abaspur Kazerouni, Gerard Dooly and Daniel Toal
Feature extraction and matching is a key component in image stitching and a critical step in advancing image reconstructions, machine vision and robotic perception algorithms. This paper presents a fast and robust underwater image mosaicking system based...
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