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Titlebook: Software and Data Engineering; 33rd International C Wenying Feng,Nick Rahimi,Venkatasivakumar Margapur Conference proceedings 2025 The Edit

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Software and Data Engineering978-3-031-75201-8Series ISSN 1865-0929 Series E-ISSN 1865-0937
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Communications in Computer and Information Sciencehttp://image.papertrans.cn/t/image/885244.jpg
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A Case Study on AI to Automate Simulation Modellingt on the quality of code generated by LLMs. Our results show that while LLMs assist in speeding up DES, they are far from replacing human experts. However, considering the steady advancements in Artificial Intelligence (AI), there is a promising future for more sophisticated and capable models.
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1865-0929 California, USA, during October 21-22, 2024...The 14 full papers presented in these proceedings were carefully reviewed and selected from 25 submissions. These papers focus on a wide range of topics within Software and Data engineering and have been categorized into the following topical sections: S
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Adversarial Attack Optimization and Evaluation for Machine Learning-Based Dark Web Traffic Analysisd a dataset of dark web traffic data through the analysis of confusion matrices and Euclidean distances, aiming to cause maximum confusion for each of our models. We then trained and tested each model in a variety of scenarios to further our understanding of weaknesses in both the traffic data and the machine learning techniques employed.
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ReVisE: Emulated Visual Outfit Generation from User Reviews Using Generative-AIducing multiple prototypes, thereby reducing waste and accelerating the design process. Experimental results conducted on the Amazon fashion item reviews demonstrate the effectiveness of ReVisE, showing promising results with both multimodal and human evaluations.
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