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Daniel Molinero-Hernández, Sergio R. Galván-González, Nicolás D. Herrera-Sandoval, Pablo Guzman-Avalos, J. Jesús Pacheco-Ibarra and Francisco J. Domínguez-Mota
Driven by the emergence of Graphics Processing Units (GPUs), the solution of increasingly large and intricate numerical problems has become feasible. Yet, the integration of GPUs into Computational Fluid Dynamics (CFD) codes still presents a significant ...
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Jiaming Li, Ning Xie and Tingting Zhao
In recent years, with the rapid advancements in Natural Language Processing (NLP) technologies, large models have become widespread. Traditional reinforcement learning algorithms have also started experimenting with language models to optimize training. ...
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Mosaad Ali Hussein Ali, Farag M. Mewafy, Wei Qian, Ajibola Richard Faruwa, Ali Shebl, Saleh Dabaa and Hussein A. Saleem
The effective detection and monitoring of mining tailings? leachates (MTLs) plays a pivotal role in environmental protection and remediation efforts. Electrical resistivity tomography (ERT) is a non-invasive technique widely employed for mapping subsurfa...
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Jozef Gocál, Josef Vican, Jaroslav Odrobinák, Richard Hlinka, Franti?ek Bahleda and Agnieszka Wdowiak-Postulak
In addition to traditional building materials, such as steel and concrete, wood has been gaining increasing prominence in recent years. In the past, the use of wood was limited due to its susceptibility to damage by fungi, insects, and temperature. These...
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Ahad Alotaibi, Chris Chatwin and Phil Birch
In aerial surveillance systems, achieving optimal object detection precision is of paramount importance for effective monitoring and reconnaissance. This article presents a novel approach to enhance object detection accuracy through the integration of De...
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