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Maria Louro da Silva, Carolina Gouveia, Daniel Filipe Albuquerque and Hugo Plácido da Silva
Bio-Radar (BR) systems have shown great promise for biometric applications. Conventional methods can be forged, or fooled. Even alternative methods intrinsic to the user, such as the Electrocardiogram (ECG), present drawbacks as they require contact with...
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Filippo Orazi, Simone Gasperini, Stefano Lodi and Claudio Sartori
Quantum computing has rapidly gained prominence for its unprecedented computational efficiency in solving specific problems when compared to classical computing counterparts. This surge in attention is particularly pronounced in the realm of quantum mach...
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Chen-Feng Long, Zhi-Dong Wen, Yang-Jun Deng, Tian Hu, Jin-Ling Liu and Xing-Hui Zhu
Rice has an important position in China as well as in the world. With the wide application of rice hybridization technology, the problem of mixing between individual varieties has become more and more prominent, so the variety identification of rice is i...
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Kai-Fu Yang, Yi-Ru Lin and Long-Sheng Chen
Crowdfunding can simplify the financing process to raise large amounts of money to complete projects for startups. However, improving the success rate has become one of critical issues. To achieve this goal, fundraisers need to create a short video, attr...
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Michal Juszczyk
Analyses of efficiency are vital for planning and monitoring the duration and costs of construction works, as well as the entire construction project. This paper introduces a combined quantitative (probabilistic) and qualitative (machine learning-based) ...
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Silvia Golia, Luigi Grossi and Matteo Pelagatti
In this paper we assess how intra-day electricity prices can improve the prediction of zonal day-ahead wholesale electricity prices in Italy. We consider linear autoregressive models with exogenous variables (ARX) with and without interactions among pred...
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Li Li, Zhongxu Zhang, Dongsheng Zhao, Yue Qiang, Bo Ni, Hengbin Wu, Shengchao Hu and Hanjie Lin
The occurrence of debris flows are a significant threat to human lives and property. Estimating the debris flow scale is a crucial parameter for assessing disaster losses in such events. Currently, the commonly used method for estimating debris flow runo...
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Teresa Gonçalves, Rute Veladas, Hua Yang, Renata Vieira, Paulo Quaresma, Paulo Infante, Cátia Sousa Pinto, João Oliveira, Maria Cortes Ferreira, Jéssica Morais, Ana Raquel Pereira, Nuno Fernandes and Carolina Gonçalves
This paper presents an analysis of the calls made to the Portuguese National Health Contact Center (SNS24) during a three years period. The final goal was to develop a system to help nurse attendants select the appropriate clinical pathway (from 59 optio...
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Zhenzhong Yin and Bin Zhang
Providing accurate and real-time bus travel time information is crucial for both passengers and public transportation managers. However, in the traditional bus travel time prediction model, due to the lack of consideration of the influence of different b...
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Weicheng Sun, Zhenqun Guan, Yan Zeng, Jiacheng Pan and Zhonghai Gao
This paper designed a bolt-loosening Support Vector Machines? conduct detection method with feature vectors comprising eigenvalue decomposition based on Variational Modal Decomposition (VMD) and Singular Value Decomposition (SVD), combined with permutati...
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Awais Salman Qazi, Muhammad Shoaib Farooq, Furqan Rustam, Mónica Gracia Villar, Carmen Lili Rodríguez and Imran Ashraf
Facial emotion recognition (FER) is an important and developing topic of research in the field of pattern recognition. The effective application of facial emotion analysis is gaining popularity in surveillance footage, expression analysis, activity recog...
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Theophilos Papadimitriou, Periklis Gogas and Athanasios Fotios Athanasiou
This study aims to forecast extreme fluctuations of Bitcoin returns. Bitcoin is the first decentralized and the largest, in terms of capitalization, cryptocurrency. A well-timed and precise forecast of extreme changes in Bitcoin returns is key to market ...
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Gopal Nath, Yawei Wang, Austin Coursey, Krishna K. Saha, Srikanth Prabhu and Saptarshi Sengupta
Productivity losses caused by absenteeism at work cost U.S. employers billions of dollars each year. In addition, employers typically spend a considerable amount of time managing employees who perform poorly. By using predictive analytics and machine lea...
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Efthymios Stathakis, Theophilos Papadimitriou, Periklis Gogas
Pág. 65 - 87
Electricity markets are considered to be the most volatile amongst commodity markets. The non-storability of electricity and the need for instantaneous balancing of demand and supply can often cause extreme short-lived fluctuations in electricity prices....
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Wei Xie, Xiaoshuang Li, Wenbin Jian, Yang Yang, Hongwei Liu, Luis F. Robledo and Wen Nie
Landslide susceptibility mapping (LSM) could be an effective way to prevent landslide hazards and mitigate losses. The choice of conditional factors is crucial to the results of LSM, and the selection of models also plays an important role. In this study...
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Katie Jin and Sikha Bagui
Obstructive sleep apnea (OSA), a common form of sleep apnea generally caused by a collapse of the upper respiratory airway, is associated with one of the leading causes of death in adults: hypertension, cardiovascular and cerebrovascular disease. In this...
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Michal Juszczyk
The completion of a bridge construction project within budget is one of the project?s key factors of success. This prerequisite is more likely to be achieved if the cost estimates, especially those provided in the early stage of a project, are realistic ...
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Ravi Pandit and Athanasios Kolios
Proposed research could be useful in offshore wind turbine condition monitoring activities based on supervisory control and data acquisition (SCADA) datasets.
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Kai-Xu Han, Wei Chien, Chien-Ching Chiu and Yu-Ting Cheng
At present, in the mainstream sentiment analysis methods represented by the Support Vector Machine, the vocabulary and the latent semantic information involved in the text are not well considered, and sentiment analysis of text is dependent overly on the...
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Carlos Villaseñor, Alberto A. Gallegos, Javier Gomez-Avila, Gehová López-González, Jorge D. Rios and Nancy Arana-Daniel
The approach presented in this paper is implemented in an autonomous UAV to provide the ability to change its path according to ground position and weather conditions, since sustaining an aircraft when flying through a dense cloud is not possible.
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