Credit card fraud has become a pressing issue with the increase in digital transactions, leading to significant financial losses. To address this, our study introduces a stacking ensemble framework for fraud detection...
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A novel deep reinforcement learning (DRL) framework is proposed for autonomous navigation of unmanned ground vehicles (UGVs) in dynamic environments using LiDAR data. Utilizing a Graph Attention Network (GAT), the fra...
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Quadrupedal robots have been deployed in numerous challenging environments, such as nuclear facility inspections and industrial surveys. These unstructured and dynamic environments expose the robots to significant saf...
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Ensuring safe and efficient navigation in smart campus transportation systems is increasingly crucial with the integration of autonomous vehicles, making accurate and robust lane detection a paramount factor. This res...
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Image processing techniques play a crucial role in various fields such as computer vision. However, achieving a high level of image matching accuracy in the field of binocular vision still requires further exploration...
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Sewer systems play a critical role in transporting wastewater. Efficient maintenance requires accurate identification of sewer pipe defects, traditionally performed through manual interpretation of Closed-Circuit Tele...
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A soft robot has a significant advantage regarding its locomotion that it can change its shape passively based on its path shape variations. In this study, we adopt reservoir computing (RC), a kind of recurrent neural...
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The prevalent underrepresentation of women in computerscience remains a global challenge with profound implications for academic institutions and industries. Despite concerted efforts to address the gender gap, femal...
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ISBN:
(纸本)9798350394023;9798350394030
The prevalent underrepresentation of women in computerscience remains a global challenge with profound implications for academic institutions and industries. Despite concerted efforts to address the gender gap, female representation remains alarmingly low, particularly among engineering graduates and information and communication technology (ICT) professionals. This paper revolves around the design and development of a user-centric web interface for the Women@INF project. Leveraging modern web development technologies using NuxtJS, ***, and Bulma, the platform provides an engaging and accessible space for promoting IT projects led by women in computerscience. The interface design prioritizes user experience, allowing seamless navigation and exploration of diverse projects. Furthermore, this initiative involves the development of an interactive data visualization tool. Utilizing technologies such as *** and Recharts, the tool empowers users to explore and analyze data dynamically related to women-led initiatives in computerscience. We explore the multifaceted approach of the research, emphasizing its role in promoting gender diversity in the science, Technology, engineering, and Mathematics (STEM) fields. These contributions collectively enhance the Women@INF research, promoting visibility and providing interactive platforms for users to engage with and derive insights from the initiative's data. Both contributions are pivotal in addressing the gender gap in computerscience, offering valuable resources for decision-makers and fostering a sense of community. The tools developed are versatile, showcasing broader applicability to other related projects. This article explores the transformative impact of collaborative initiatives and technological innovations on reshaping the narrative of women in computerscience, providing a vital blueprint for sustained progress and increased gender diversity in STEM fields.
Teacher performance is an important issue for any academic institution, so these institutions try to develop methodologies and systems to evaluate the performance of its academic staff based on measurable and scientif...
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This paper examines how varying lunar resource distributions-uniform, clustered, and dispersed-affect the efficiency of task allocation and completion in a multi-robot system (MRS) designed for autonomous lunar mining...
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