In response to the challenges of high parameter count, computational complexity, and long inference time in current human pose estimation network models, we have combined the characteristics of self-attention mechanis...
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This research presents a thorough and cohesive approach for examining driver behavior and precisely determining vehicle speed by combining several sensory inputs. The system we propose utilizes cameras, LIDAR, RADAR, ...
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Aiming at the problems of the integration of computer course teaching with international teaching and engineering certification, this study designs a multi-dimensional teaching mode of computer courses through the sup...
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despite gender equality progress, women are underrepresented in computerscience (CS) and software engineering (SE) fields due to entrenched stereotypes and limited exposure during early education. Educational institu...
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ISBN:
(纸本)9798350378986;9798350378979
despite gender equality progress, women are underrepresented in computerscience (CS) and software engineering (SE) fields due to entrenched stereotypes and limited exposure during early education. Educational institutions can address this by implementing gender-inclusive activities and enhancing female enrollment, environment, and learning processes. Understanding the traits and needs of female students is crucial for effective interventions. This scoping review of 53 studies from 2015 to 2022 reveals key findings such as high academic achievements, familial support, low programming experience, biases, and a desire to prove competence. Interestingly, despite self-doubt, women excel in project management within teams. The study offers insights for initiatives to rectify gender imbalances in CS and SE.
To enhance the market competitiveness of enterprises in the context of sustainable development, an intelligent technology-based green marketing decision support system is constructed. Methods such as multi-source data...
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Preservation of the existing biodiversity and wildlife is a crucial task for the future of our planet. To be able to protect and conserve animal populations, it is essential to understand their behavior and the factor...
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With the development of artificial intelligence, deep learning has been increasingly used to achieve automatic detection of geographic information, replacing manual interpretation and improving efficiency. However, re...
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City managers have long been committed to improving the efficiency of transportation systems and reducing congestion, which makes urban traffic flow forecasting crucial. Current forecasting methods often do not adequa...
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A new approach to code-based cryptosystems is pro-posed that extends the classical McEliece cryptosystem because its public code is not equivalent to a secret code, as well as a non-trivial linear transformation of th...
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Unmanned aerial vehicles (UAVs) are used as supportive edge computing for sparsely located user equipment on a large scale. In this work, we propose and address a collaborative edge computing system involving multiple...
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