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Qianlong Jin, Yu Tian, Weicong Zhan, Qiming Sang, Jiancheng Yu and Xiaohui Wang
Efficiently predicting high-resolution and accurate flow fields through networked autonomous marine vehicles (AMVs) is crucial for diverse applications. Nonetheless, a research gap exists in the seamless integration of data-driven flow modeling, real-tim...
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Zhengke Liu, Xiaolei Ma, Xiaohan Liu, Gonçalo Homem de Almeida Correia, Ruifeng Shi and Wenlong Shang
Optimizing battery swapping station (BSS) configuration is essential to enhance BSS?s energy savings and economic feasibility, thereby facilitating energy refueling efficiency of electric taxis (ETs). This study proposes a novel modular battery swapping ...
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Sarah Benjelloun, Mohamed El Mehdi El Aissi, Younes Lakhrissi and Safae El Haj Ben Ali
Thanks to continuously evolving data management solutions, data-driven strategies are considered the main success factor in many domains. These strategies consider data as the backbone, allowing advanced data analytics. However, in the agricultural field...
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Ahmed M. Shahat Osman, Ahmed A. Elragal and Anna Ståhlbröst
The relationship between big data analytics (BDA) and smart cities (SCs) has been addressed in several articles. However, few articles have investigated the influence of exploiting BDA in data-driven decision-making from an empirical perspective in a cas...
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Antonio Kodsy and Magued Iskander
Preliminary identification of plugging of open-ended pipe piles based on their dimensions, ahead of driving, is explored in this study using data analytics. Piles can be unplugged, plugged, or internally plugged, depending on their dimensions, and geotec...
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Salvatore Gambino, Giovanni Barreca, Valentina Bruno, Giorgio De Guidi, Carmelo Ferlito, Felix Gross, Mario Mattia, Luciano Scarfì and Carmelo Monaco
Offshore data in the western Ionian Sea indicate that the NW?SE-trending dextral shear zone of the Alfeo-Etna Fault System turns to the N?S direction near the Ionian coastline, where the extensional Timpe Fault System is located. Morpho-structural data s...
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Mauricio Herrera and Alex Godoy-Faúndez
The COVID-19 crisis has shown that we can only prevent the risk of mass contagion through timely, large-scale, coordinated, and decisive actions. This pandemic has also highlighted the critical importance of generating rigorous evidence for decision-maki...
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Devon S. Johnson, Debika Sihi and Laurent Muzellec
This study examines the experience of marketing departments to become fully data-driven decision-making organizations. We evaluate an organic approach of departmental sensemaking and an administered approach by which top management increase the influence...
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Zhicheng Shi, Xintao Liu, Jianhui Lai, Chengzhuo Tong, Anshu Zhang and Wenzhong Shi
In this era of population aging, it is essential to understand the spatial distribution patterns of the elderly. Based on the smart card data of the elderly, this study aims to detect the home location and examine the spatial distribution patterns of the...
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Laura Stevens, David Kao, Jennifer Hall, Carsten Görg, Kaitlyn Abdo and Erik Linstead
Accessible interactive tools that integrate machine learning methods with clinical research and reduce the programming experience required are needed to move science forward. Here, we present Machine Learning for Medical Exploration and Data-Inspired Car...
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Jiawei Xie, Jinsong Huang, Cheng Zeng, Shui-Hua Jiang and Nathan Podlich
Conventional planning of maintenance and renewal work for railway track is based on heuristics and simple scheduling. The railway industry is now collecting a large amount of data with the fast-paced development of sensor technologies. These data sets ca...
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Shailesh Kumar Singh, Sharad K. Jain and András Bárdossy
Artificial Neural Networks (ANNs) are classified as a data-driven technique, which implies that their learning improves as more and more training data are presented. This observation is based on the premise that a longer time series of training samples w...
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Lili Jiang and Vicenç Torra
Anonymization and data masking have effects on data-driven models. Different anonymization methods have been developed to provide a good trade-off between privacy guarantees and data utility. Nevertheless, the effects of data protection (e.g., data micro...
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Cem Ünlübayir, Ulrich Hermann Mierendorff, Martin Florian Börner, Katharina Lilith Quade, Alexander Blömeke, Florian Ringbeck and Dirk Uwe Sauer
This research paper presents a data-based energy management method for a vessel that predicts the upcoming load demands based on data from weather information and its automated tracking system. The vessel is powered by a hybrid propulsion system consisti...
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Jingyi Bai, Qiaogao Huang, Guang Pan and Junjie He
To precisely control the manta ray robot and improve its swimming and turning speed, the hydrodynamic parameters corresponding to different motion control variables must be tested experimentally. In practice, too many input control parameters will bring ...
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Frank Emmert-Streib and Matthias Dehmer
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Huyen Do and Kristen S. Cetin
In the U.S., the heating, ventilation, and air conditioning (HVAC) system is generally the largest electricity-consuming end-use in a residential building. However, homeowners are less likely to have their HVAC system serviced regularly, thus inefficienc...
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David Sadowsky, Andrew Abboud, Anthony Cyr, Lena Vodovotz, Paulo Fontes, Ruben Zamora and Yoram Vodovotz
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David Sadowsky, Andrew Abboud, Anthony Cyr, Lena Vodovotz, Paulo Fontes, Ruben Zamora and Yoram Vodovotz
Extracorporeal organ perfusion, in which organs are preserved in an isolated, ex vivo environment over an extended time-span, is a concept that has led to the development of numerous alternative preservation protocols designed to better maintain organ vi...
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Rahil Sharma, Zewei Xu, Ramanathan Sugumaran and Suely Oliveira
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