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Stefano Silvestrini, Margherita Piccinin, Giovanni Zanotti, Andrea Brandonisio, Paolo Lunghi and Michèle Lavagna
The exploration of celestial bodies such as the Moon, Mars, or even smaller ones such as comets and asteroids, is the next frontier of space exploration. One of the most interesting and attractive purposes from the scientific point of view in this field,...
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Xiongfeng Yan, Tinghua Ai and Xiang Zhang
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Pengpeng Li, An Luo, Jiping Liu, Yong Wang, Jun Zhu, Yue Deng and Junjie Zhang
Chinese address element segmentation is a basic and key step in geocoding technology, and the segmentation results directly affect the accuracy and certainty of geocoding. However, due to the lack of obvious word boundaries in Chinese text, the grammatic...
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Erhu Zhang, Kelu Wang and Guangfeng Lin
The classification of marine vessels is one of the important problems of maritime traffic. To fully exploit the complementarity between different features and to more effectively identify marine vessels, a novel feature structure fusion method based on s...
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Feng Li, Xuefeng Xi, Zhiming Cui, Dongyang Li and Wanting Zeng
Essays are a pivotal component of conventional exams; accurately, efficiently, and effectively grading them is a significant challenge for educators. Automated essay scoring (AES) is a complex task that utilizes computer technology to assist teachers in ...
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Hui Deng, Wenjiang Zhang, Xiaoqian Zheng and Houxi Zhang
The accurate and timely identification of crops holds paramount significance for effective crop management and yield estimation. Unmanned aerial vehicle (UAV), with their superior spatial and temporal resolution compared to satellite-based remote sensing...
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Mengran Zhou, Xiaokang Yao, Ziwei Zhu and Feng Hu
A prerequisite for refined load management, crucial for intelligent energy management, is the precise classification of electric loads. However, the high dimensionality of electric load samples and poor identification accuracy of industrial scenarios mak...
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Zengzheng Wang, Yangyang Zhao and Fuhao Zhang
Geographically weighted regression (GWR) is an effective method for detecting spatial non-stationary features based on the hypothesis of proximity correlation. In reality, especially in the social and economic fields, research objects not only have spati...
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Mousumi Bala, Mohammad Hanif Ali, Md. Shahriare Satu, Khondokar Fida Hasan and Mohammad Ali Moni
Autism spectrum disorder (ASD) is a neurodevelopmental disorder that severely impairs an individual?s cognitive, linguistic, object recognition, communication, and social abilities. This situation is not treatable, although early detection of ASD can ass...
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Anis Malekzadeh, Assef Zare, Mahdi Yaghoobi and Roohallah Alizadehsani
This paper proposes a new method for epileptic seizure detection in electroencephalography (EEG) signals using nonlinear features based on fractal dimension (FD) and a deep learning (DL) model. Firstly, Bonn and Freiburg datasets were used to perform exp...
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Syna Sreng, Noppadol Maneerat, Kazuhiko Hamamoto and Ronakorn Panjaphongse
Diabetic Retinopathy (DR) is the leading cause of blindness in working-age adults globally. Primary screening of DR is essential, and it is recommended that diabetes patients undergo this procedure at least once per year to prevent vision loss. However, ...
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Lin Xu, Shanxiu Ma, Zhiyuan Shen, Shiyu Huang and Ying Nan
In order to determine the fatigue state of air traffic controllers from air talk, an algorithm is proposed for discriminating the fatigue state of controllers based on applying multi-speech feature fusion to voice data using a Fuzzy Support Vector Machin...
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Yifan Cao, Yangda Chen, Mingwen Shi, Chuanzhen Li, Weijun Wu, Yapeng Li, Xuxin Guo and Xianpeng Sun
The high energy consumption CEA building brings challenges to the management of the energy system. An accurate energy consumption prediction model is necessary. Although there are various prediction methods, the prediction method for the particularity of...
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Jurgita Kapociute-Dzikiene, Robertas Dama?evicius and Marcin Wozniak
We describe the sentiment analysis experiments that were performed on the Lithuanian Internet comment dataset using traditional machine learning (Naïve Bayes Multinomial?NBM and Support Vector Machine?SVM) and deep learning (Long Short-Term Memory?LSTM a...
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Zhendong Shang, Qinzhang Wei and Zhaoying Li
The arterial blood sample collector produced in large quantities often fails to meet the requirements due to missing components in the packaging bag, and traditional manual detection methods are both inefficient and inaccurate. To solve this problem, a P...
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Tung-Ching Su, Tsung-Chiang Wu, Ming-Hung Wun and Cheng-Wei Wang
Many studies in the literature have presented multiple remote sensing techniques for defect inspection of paintings. At present, however, papers on defect inspection and restoration of oriental architectural arts?such as door god paintings?are still rare...
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Ling Wang, Hangyu Liu, Tiehua Zhou, Wenlong Liang and Minglei Shan
Electroencephalogram (EEG) as biomedical signal is widely applied in the medical field such as the detection of Alzheimer?s disease, Parkinson?s disease, etc. Moreover, by analyzing the EEG-based emotions, the mental status of individual can be revealed ...
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Mohamed Tahoun, Abdulwahab Ali Almazroi, Mohammed A. Alqarni, Tarek Gaber, Emad E. Mahmoud and Mohamed Meselhy Eltoukhy
Breast cancer is one of the most prevalent cancer types with a high mortality rate in women worldwide. This devastating cancer still represents a worldwide public health concern in terms of high morbidity and mortality rates. The diagnosis of breast abno...
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Xiaopeng Yu, Changqing Xu, Dan Lu, Zeyu Zhu, Zhipeng Zhou, Nan Ye and Chuanmin Mi
In recent years, power grid accidents have occurred frequently and higher requirements have been placed on their safety operation. In current safety management in the world, there is an effective practice that uses a unified standard for structuring an a...
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Patcharavadee Thamarux, Masashi Matsuoka, Nakhorn Poovarodom and Junko Iwahashi
Thailand is not known to be an earthquake-prone country; however, in 2014, an unexpected moderate earthquake caused severe damage to infrastructure and resulted in public panic. This event caught public attention and raised awareness of national seismic ...
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