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Umberto Saetti, Jonathan Rogers, Mushfiqul Alam and Michael Jump
A novel trajectory generation and control architecture for fully autonomous autorotative flare that combines rapid path generation with model-based control is proposed. The trajectory generation component uses optical Tau theory to compute flare trajecto...
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Chih-Chiang Wei and Cheng-Shu Chiang
In recent years, Taiwan has actively pursued the development of renewable energy, with offshore wind power assessments indicating that 80% of the world?s best wind fields are located in the western seas of Taiwan. The aim of this study is to maximize off...
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Jiaqi Zhao, Ming Xu, Yunzhi Chen and Guoliang Xu
Nowdays, DNNs (Deep Neural Networks) are widely used in the field of DDoS attack detection. However, designing a good DNN architecture relies on the designer?s experience and requires considerable work. In this paper, a GA (genetic algorithm) is used to ...
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Xinjing Zhang and Qixun Zhou
Human pose estimation, as the basis of advanced computer vision, has a wide application perspective. In existing studies, the high-capacity model based on the heatmap method can achieve accurate recognition results, but it encounters many difficulties wh...
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Philip Empl and Günther Pernul
Although there are numerous advantages of the IoT in industrial use, there are also some security problems, such as insecure supply chains or vulnerabilities. These lead to a threatening security posture in organizations. Security analytics is a collecti...
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Ridwan Ilyas, Masayu Leylia Khodra, Rinaldi Munir, Rila Mandala and Dwi Hendratmo Widyantoro
The paraphrase generator for citation sentences is used to produce several sentence alternatives to avoid plagiarism. Furthermore, the generation results need to pay attention to semantic similarity and lexical divergence standards. This study proposed t...
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Zhaoxuan Liu and Wenjie Luo
In recommendation models, bias can distort the distribution of user-generated data, leading to inaccurate representation of user preferences. Failure to filter out biased data can result in significant learning errors, ultimately reducing the accuracy of...
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Panagiotis Skondras, Panagiotis Zervas and Giannis Tzimas
In this article, we investigate the potential of synthetic resumes as a means for the rapid generation of training data and their effectiveness in data augmentation, especially in categories marked by sparse samples. The widespread implementation of mach...
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Angelique Mukasine, Louis Sibomana, Kayalvizhi Jayavel, Kizito Nkurikiyeyezu and Eric Hitimana
Recently, the significance and demand for biogas energy has dramatically increased. However, biogas operators lack automated and intelligent mechanisms to produce optimization. The Internet of Things (IoT) and Machine Learning (ML) have become key enable...
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Jaime Perez-Martinez and Rodrigo Perez Fernandez
Since the introduction of scientific disciplines into the shipbuilding process, there has been a search for optimisation of human and material resources. The current environmental crisis is putting additional pressure on global resource management and sp...
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