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Weihan Huang, Ke Gao and Yu Feng
Predicting earthquakes through reasonable methods can significantly reduce the damage caused by secondary disasters such as tsunamis. Recently, machine learning (ML) approaches have been employed to predict laboratory earthquakes using stick-slip dynamic...
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Moatsum Alawida, Je Sen Teh and Wafa? Hamdan Alshoura
Drone-based surveillance has become widespread due to its flexibility and ability to access hazardous areas, particularly in industrial complexes. As digital camera capabilities improve, more visual information can be stored in high-resolution images, re...
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Fotis Nikolaidis, Moysis Symeonides and Demetris Trihinas
Federated learning (FL) is a transformative approach to Machine Learning that enables the training of a shared model without transferring private data to a central location. This decentralized training paradigm has found particular applicability in edge ...
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Ivan Kosyanenko,Roman Bolbakov
Pág. 53 - 59
In today's team-based software development, good commit messages - comments on changes made in natural language - are essential. The metric for evaluating a commit message is its relevance. A good commit message should not only describe the changes made,...
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Run Zhou, Jingyan Jiang, Jianhua Qin, Ning Du, Haoran Shi and Ying Wang
The corrugated compensators are important components in the piping system, absorbing mechanical deformation flexibly. To reduce the risk of the piping system with corrugated compensators and improve the safety and stability of industrial equipment, condi...
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Andrea Calvagna, Emiliano Tramontana and Gabriella Verga
Social network systems are constantly fed with text messages. While this enables rapid communication and global awareness, some messages could be aptly made to hurt or mislead. Automatically identifying meaningful parts of a sentence, such as, e.g., posi...
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Muhammad Paend Bakht, Zainal Salam, Abdul Rauf Bhatti, Waqas Anjum, Saifulnizam A. Khalid and Nuzhat Khan
This study investigates the potential application of Stateflow (SF) to design an energy management strategy (EMS) for a renewable-based hybrid energy system (HES). The SF is an extended finite state machine; it provides a platform to design, model, and e...
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Chongpu Chen, Jianhua Guo, Chong Guo, Chaoyi Chen, Yao Zhang and Jiawei Wang
In a cut-in scenario, traditional adaptive cruise control usually cannot effectively identify the cut-in vehicle and respond to it in advance. This paper proposes an adaptive cruise control (ACC) strategy based on the MPC algorithm for cut-in scenarios. ...
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Toni Varga, Tin Ben?ic, Vedrana Jerkovic ?til and Marinko Barukcic
A speed tracking control method for induction machine is shown in this paper. The method consists of outer speed control loop and inner current control loop. Model predictive current control method without the need for calculation of the weighing factors...
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Xue Zhao, Ye He, Xiaoan Chen and Zhi Liu
With the development of the global economy, the demand for manufacturing is increasing. Accordingly, human?robot collaborative assembly has become a research hotspot. This paper aims to solve the efficiency problems inherent in traditional human-machine ...
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