3D Gaussian Splatting (3DGS) has emerged as a transformative technique for real-time, high-quality 3D rendering. This paper surveys the advancements in 3DGS, focusing on optimization strategies, applications across di...
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Using internally integrated sensors, this work tackles the major difficulty of establishing robust and accurate proprioception in soft robots working under loose packing limitations. Instead of assuming constant curva...
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This paper presents a personalized approach to lifelong learning in a school education platform. The considered approach is presented in the BLISS platform, which is an adaptation of the Virtual physical Space (ViPS) ...
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In software-defined networking, The network control plane's physical separation from the forwarding plane from where several devices are being controlled from the control plane. Therefore, software-defined network...
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This scientific article exposes the evolution of physical asset management software, starting with the computerized Maintenance Management System (CMMS), which was the first software to be used for physical asset mana...
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the emergence of the Internet of Things (IoT) gadgets and cloud-enabled networks has brought about a dramatic growth in the quantity and kinds of programs that require real-time facet computing offerings. Aspect compu...
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The world of Industry 4.0 embraces the transformation that calls for strategic investments, cooperative partnerships, and a proactive approach to overcome obstacles to successfully transition to smarter, more connecte...
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In the case of electric mobility, the effectiveness and quality of the charging process are crucial. Significant customer repercussions will occur if electricity is not maintained. The on-board chargers use single-sta...
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In recent times, researchers have extended their research on Parkinson's Disease (PD) using Artificial Neural Network techniques. PD is an age related progressive neurological ailment that affects millions of olde...
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Purpose: This paper reports on an ongoing study examining the implementation of image-based generative AI in higher education to study the impacts and changes to learning behaviors and academic performance of architec...
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ISBN:
(纸本)9798350376975;9798350376968
Purpose: This paper reports on an ongoing study examining the implementation of image-based generative AI in higher education to study the impacts and changes to learning behaviors and academic performance of architecture undergraduate students. The findings will be part of a methodological framework to evaluate whether or not AI is a high-value digital tool in this context. Approach: The study is designed through a series of workshops with architecture students, which aim to identify the role of image-based AI in the architecture design process for undergraduate students in Sino-foreign higher education institutions in order to assess the potential of using AI in the future architecture industry, especially for junior architects. Findings: The preliminary findings of this ongoing study indicate that AI increases the creativity of architecture design concepts, especially via better visual presentation for junior students. However, AI does not seem to be able to comprehend basic architecture design principles when it is implemented. Originality/value: The outcomes of this study will aid the larger teaching community when adopting AI in their teaching while mitigating the potential negative impacts on the students' learning experiences.
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