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Sorin Zoican, Roxana Zoican, Dan Galatchi and Marius Vochin
This paper illustrates a general framework in which a neural network application can be easily integrated and proposes a traffic forecasting approach that uses neural networks based on graphs. Neural networks based on graphs have the advantage of capturi...
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Weihao Cao, Guangli Cheng, Bao Liu and Yangfan Cai
The current time-domain solution methods for the wavefield equations of a single medium do not apply to the wavefield equations of shallow water seismic with a fluid?elastomer coupling. To solve this problem, based on the explicit central difference meth...
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Artur Chudzik and Andrzej W. Przybyszewski
Neurodegenerative diseases (NDs), including Parkinson?s and Alzheimer?s disease, pose a significant challenge to global health, and early detection tools are crucial for effective intervention. The adaptation of online screening forms and machine learnin...
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Jui-Fa Chen, Yu-Ting Liao and Po-Chun Wang
Climate change has exacerbated severe rainfall events, leading to rapid and unpredictable fluctuations in river water levels. This environment necessitates the development of real-time, automated systems for water level detection. Due to degradation, tra...
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Jun Dai, Chunfeng Zhang, Songlin Liu, Xiangyang Hao, Zongbin Ren and Yunzhu Lv
Autonomous navigation and localization are the foundations of unmanned intelligent systems, therefore, continuous, stable, and reliable position services in unknown environments are especially important for autonomous navigation and localization. Aiming ...
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