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Patricio Venegas-Aravena and Enrique G. Cordaro
Field measurements in subduction regions have revealed the presence of non-seismic pre-earthquake signals such as electromagnetic or acoustic emission, gas liberation, changes in Earth?s surface temperature, changes at the ionospheric level, or fluid mig...
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Yuhui Zhao, Yang Yang, Longjiang Mao and Yuanzhi Zhang
The climatology of the mesoscale eddies in the upper layer of the South China Sea (SCS) is investigated for an understanding of its genesis using the outputs from a 1/12.5° ocean reanalysis. Employed is a recently developed multiscale energetics formalis...
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Lan Wang and X. San Liang
The typhoon Damrey that hit Jiangsu the populous coastal province of China on 2 August 2012 is a rarely seen tropical cyclone in that it has a higher latitude origin, and it is part of a twin typhoon. In this study, a recently developed analysis tool?mul...
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Eric T. Chung, Yalchin Efendiev, Wing Tat Leung and Jun Ren
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Stephen Pankavich and Peter Ortoleva
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Jianfei Wang and Wen Cao
In the era of big data, a significant volume of spatiotemporal data exists in a multiscale format, describing diverse phenomena in the objective world across different spatial and temporal scales. While existing methods focus on analyzing the features an...
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Hongbing Chen, Bin Xu, Jiang Wang, Xin Nie and Yi-Lung Mo
The extended finite element method (XFEM) is efficient in simulating crack initiation and its evolution process for reinforced-concrete (RC) structures due to its ability to solve fracture problems. Moreover, the multiscale numerical simulation helps und...
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Son Ich Ngo and Young-Il Lim
This review covers the scope of multiscale computational fluid dynamics (CFD), laying the framework for studying hydrodynamics with and without chemical reactions in single and multiple phases regarded as continuum fluids. The molecular, coarse-grained p...
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Zhichao Chen, Hongping Zhou, Haifeng Lin and Di Bai
The tea industry, as one of the most globally important agricultural products, is characterized by pests and diseases that pose a serious threat to yield and quality. These diseases and pests often present different scales and morphologies, and some pest...
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Zhou Fang, Xiaoyong Wang, Liang Zhang and Bo Jiang
Currently, deep learning is extensively utilized for ship target detection; however, achieving accurate and real-time detection of multi-scale targets remains a significant challenge. Considering the diverse scenes, varied scales, and complex backgrounds...
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Ping Huang and Yafeng Wu
Airborne speech enhancement is always a major challenge for the security of airborne systems. Recently, multi-objective learning technology has become one of the mainstream methods of monaural speech enhancement. In this paper, we propose a novel multi-o...
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Adil Redaoui, Amina Belalia and Kamel Belloulata
Deep network-based hashing has gained significant popularity in recent years, particularly in the field of image retrieval. However, most existing methods only focus on extracting semantic information from the final layer, disregarding valuable structura...
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Huile Zhang, Zeyu Sun, Pengpeng Zhi, Wei Wang and Zhonglai Wang
This paper develops a material-structure integrated design and optimization method based on a multiscale approach for the lightweight design of CFRP car doors. Initially, parametric modeling of RVE is implemented, and their elastic performance parameters...
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Ching-Lung Fan
The emergence of deep learning-based classification methods has led to considerable advancements and remarkable performance in image recognition. This study introduces the Multiscale Feature Convolutional Neural Network (MSFCNN) for the extraction of com...
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Xuejing Xie, Yongyang Xu, Bin Feng and Wenjun Wu
The classification of urban functional areas is important for understanding the characteristics of urban areas and optimizing the utilization of urban land resources. Existing related methods have improved accuracy. However, they neglect cognitive differ...
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Ke Shang, Zeyu Wan, Yulin Zhang, Zhiwei Cui, Zihan Zhang, Chenchen Jiang and Feizhou Zhang
The accurate and rapid prediction of parking availability is helpful for improving parking efficiency and to optimize traffic systems. However, previous studies have suffered from limited training sample sizes and a lack of thorough investigation into th...
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Nanyu Chen, Anran Yang, Luo Chen, Wei Xiong and Ning Jing
Spatio-temporal association analysis has attracted attention in various fields, such as urban computing and crime analysis. The proliferation of positioning technology and location-based services has facilitated the expansion of association analysis acro...
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Ruien Tang, Guolin Hou and Rui Du
Catering and urban elements have a strong spatial association. The spatial clustering and dispersal patterns of catering can effectively influence cities? economic and socio-spatial reconfiguration. This research first introduced the concept of the ARTR ...
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Zhanjun He, Zhipeng Wang, Yu Gu and Xiaoya An
Urban crimes are not homogeneously distributed but exhibit spatial heterogeneity across a range of spatial scales. Meanwhile, while geographic space shapes human activities, it is also closely related to multiscale characteristics. Previous studies have ...
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Yaohui Chen, Caihui Cui, Zhigang Han, Feng Liu, Qirui Wu and Wangqin Yu
The United Nations Sustainable Development Goals (SDGs) and the rise of global sustainability science have led to the increasing recognition of basins as the key natural geographical units for human?land system coupling and spatial coordinated developmen...
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