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Chanjun Park, Seonmin Koo, Gyeongmin Kim and Heuiseok Lim
In this study, we conduct a pioneering and comprehensive examination of ChatGPT?s (GPT-3.5 Turbo) capabilities within the realm of Korean Grammatical Error Correction (K-GEC). Given the Korean language?s agglutinative nature and its rich linguistic intri...
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Evangelos Rozos
Machine learning has been used in hydrological applications for decades, and recently, it was proven to be more efficient than sophisticated physically based modelling techniques. In addition, it has been used in hybrid frameworks that combine hydrologic...
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Taewoong Hwang and Ik-Hyun Youn
In the maritime industry, the systematic validation of collision avoidance systems of autonomous ships is becoming an increasingly important issue with the development of autonomous ships. The development of collision avoidance systems for autonomous shi...
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Yang Chao, Chaoning Lin, Tongchun Li, Huijun Qi, Dongming Li and Siyu Chen
Aiming to investigate the problem that dam-monitoring data are difficult to analyze in a timely and accurate automated manner, in this paper, we propose an automated framework for dam health monitoring based on data microservices. The framework consists ...
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Ning An, Bowen Guan, Natalia Edith Nunez, Jian Gao, Xue Dong, Haitao Zhang and Ricardo Cesar Podesta
Etalon is considered to be one of the most promising satellites for studying crustal motions, Earth rotation, and other scientific applications. Unfortunately, its outsized shape and signature result in a measurement range bias of several millimeters. On...
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Paria Sarzaeim, Qusay H. Mahmoud, Akramul Azim, Gary Bauer and Ian Bowles
Smart policing refers to the use of advanced technologies such as artificial intelligence to enhance policing activities in terms of crime prevention or crime reduction. Artificial intelligence tools, including machine learning and natural language proce...
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Yiming Shen, Shuntaro Ueda, Yuichiro Fujimoto, Taishi Sawabe, Masayuki Kanbara and Hirokazu Kato
Augmented reality (AR) support systems have proven to be effective in supporting various tasks, but are not yet widely used in real-world applications due to their high development costs. Although several AR authoring tools have been proposed for content...
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Dian Charity Hidayat, Kosuke Mizuno, Chairil Abdini Abidin Said and Herdis Herdiansyah
The development of food estates, including peatland ecosystems, is expected to support food security in all regions equally. Technically, the widespread clearing of peatlands for cultivating a specific food crop has multiple environmental effects. The ne...
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Giovanni Ceccarelli, Guido Cantelmo, Marialisa Nigro and Constantinos Antoniou
In bike-sharing systems, the inventory level is defined as the daily number of bicycles required to optimally meet the demand. Estimating these values is a major challenge for bike-sharing operators, as biased inventory levels lead to a reduced quality o...
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Laurent Risser, Agustin Martin Picard, Lucas Hervier and Jean-Michel Loubes
The problem of algorithmic bias in machine learning has recently gained a lot of attention due to its potentially strong impact on our societies. In much the same manner, algorithmic biases can alter industrial and safety-critical machine learning applic...
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