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Mohammed Hossny, Julie Iskander, Mohamed Attia, Khaled Saleh and Ahmed Abobakr
Continuous action spaces impose a serious challenge for reinforcement learning agents. While several off-policy reinforcement learning algorithms provide a universal solution to continuous control problems, the real challenge lies in the fact that differ...
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Pedro F. Mayuet Ares, Lucía Rodríguez-Parada, Álvaro Gómez-Parra and Moises Batista Ponce
Metal matrix composite (MMC) materials are increasingly used in industrial sectors such as energy, structural, aerospace, and automotive. This is due to the improvement of properties by the addition of reinforcements. Thus, it is possible to obtain prope...
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Xiaodong Zhang, Ce Han, Ming Luo and Dinghua Zhang
Tool wear monitoring is necessary for cost reduction and productivity improvement in the machining industry. Machine learning has been proven to be an effective means of tool wear monitoring. Feature engineering is the core of the machining learning mode...
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Vamsi Krishna Pasam, Padmini Rapeti, Surendra Babu Battula
Pág. 78 - 85
This paper presents the experimental investigations on the performance of eco-friendly vegetable oil based nanofluids in turning operation. In order to assess the quality of nano cutting fluids used during machining, cutting temperatures, cutting forces,...
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Rayhan Usamah, Donghoon Kang, Youn Doh Ha and Bonyong Koo
In the Eurasian railway network, a different gauge length is used across several countries. A railroad variable gauge allows railway vehicles in rail transport to travel across a gauge break caused by two railway networks with differing track gauges. The...
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