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Xinyi Guan and Shun Long
The exponential growth of social media text information presents a challenging issue in terms of retrieving valuable information efficiently. Utilizing deep learning models, we can automatically generate keywords that express core content and topics of s...
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Jiewen Huang and Ying Yang
Inlight of the extensive utilization of automated machining centers, the operation and maintenance level and efficiency of machining centers require further enhancement. In our work, an anomaly detection model is proposed to detect the operation executio...
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Wenwen Shi, Sharifah Salwa Syed Mahdzar and Weicong Li
This study aims to optimize the evaluation system of inclusive design in urban parks, emphasizing the systemic nature of sensory, cognitive, and motor capacity support and exploring its role in park design practice. Based on the capability demand model, ...
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William Margerit, Antoine Charpentier, Cathy Maugis-Rabusseau, Johann Christian Schön, Nathalie Tarrat and Juan Cortés
The exploration of the energy landscape of a chemical system is essential for understanding and predicting its observable properties. In most cases, this is a challenging task due to the high complexity of such landscapes, which often consist of multiple...
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Yu Han, Xiaolei Ma, Bo Wang, Hongwang Zhang, Qiuxia Zhang and Gang Chen
Nonlinear Model Predictive Control (NMPC) is an effective approach for motion planning in autonomous vehicles that need to satisfy multiple driving demands. Within the realm of planner design, current strategies inadequately address the issues related to...
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