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M. Domaneschi, R. Cucuzza, L. Sardone, S. Londoño Lopez, M. Movahedi and G. C. Marano
Random vibration analysis is a mathematical tool that offers great advantages in predicting the mechanical response of structural systems subjected to external dynamic loads whose nature is intrinsically stochastic, as in cases of sea waves, wind pressur...
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Wensheng Chen, Yinxi Niu, Zhenhua Gan, Baoping Xiong and Shan Huang
Enhancing information representation in electromyography (EMG) signals is pivotal for interpreting human movement intentions. Traditional methods often concentrate on specific aspects of EMG signals, such as the time or frequency domains, while overlooki...
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Licao Dai, Yu Li and Meihui Zhang
Fatigue affects operators? safe operation in a nuclear power plant?s (NPP) main control room (MCR). An accurate and rapid detection of operators? fatigue status is significant to safe operation. The purpose of the study is to explore a way to detect oper...
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Ana-Luiza Rusnac and Ovidiu Grigore
In recent years, a lot of researchers? attentions were concentrating on imaginary speech understanding, decoding, and even recognition. Speech is a complex mechanism, which involves multiple brain areas in the process of production, planning, and precise...
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Sinta Setiana,(Maranatha Christian UniversityIndonesia)Bram Hadianto,(Maranatha Christian UniversityIndonesia)
Pág. 172 - 184
This research intends to examine the impact of financial knowledge and internal control locus on student behavior to manage money and the effect of internal control locus on this knowledge. The students becoming the population are from the active undergr...
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Taghreed Alghamdi, Khalid Elgazzar and Taysseer Sharaf
Hierarchical Bayesian models (HBM) are powerful tools that can be used for spatiotemporal analysis. The hierarchy feature associated with Bayesian modeling enhances the accuracy and precision of spatiotemporal predictions. This paper leverages the hierar...
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Muhammed Enes Atik, Zaide Duran and Dursun Zafer Seker
3D scene classification has become an important research field in photogrammetry, remote sensing, computer vision and robotics with the widespread usage of 3D point clouds. Point cloud classification, called semantic labeling, semantic segmentation, or s...
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Bhargav Prakash, Gautam Kumar Baboo and Veeky Baths
Brain connectivity is studied as a functionally connected network using statistical methods such as measuring correlation or covariance. The non-invasive neuroimaging techniques such as Electroencephalography (EEG) signals are converted to networks by tr...
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Lin Ang, Mi Hong Yim, Jun-Hyeong Do and Sanghun Lee
Hypertension has been a crucial public health challenge among adults. This study aimed to develop a novel method for non-contact prediction of hypertension using facial characteristics such as facial features and facial color. The data of 1099 subjects (...
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Lin He, Xianjun Chen, Jun Li and Xiaofeng Xie
Manifold learning is a powerful dimensionality reduction tool for a hyperspectral image (HSI) classification to relieve the curse of dimensionality and to reveal the intrinsic low-dimensional manifold. However, a specific characteristic of HSIs, i.e., ir...
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