The worst-case execution time (WCET) of tasks running on a multi-core system is largely affected by the competition over shared resources, such as memory bandwidth and last-level cache (LLC). Therefore, the system can...
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Currently, blockchain is using different areas of life such as finance, education, health, government sector, banking, property chain, etc. As digital technology advances, more and more companies are integrating block...
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It is often observed that most of the commonly captured pictures are acquired using the mobile cameras or the CCTV surveillance cameras. These mobile cameras capture the video footages of the activities of people who ...
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Focusing on the key elements that pneumatic system's ability to save energy. From the perspectives of energy-saving measures and quantitative standards of pneumatic systems, partial pressurizer, reduction of leaka...
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Complex networks undergird everything from social media interactions to biological processes;therefore, uncovering their concealed patterns is more crucial than ever in today's digital world. The proposed work inv...
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Visually-impaired people face significant difficulties when navigating an indoor environment. The corridors may contain obstacles, so people who are visually impaired need to be aware of these in order to avoid accide...
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Wireless Underground Sensor Networks (WUSNs) have developed into valuable tools for gathering and tracking data for various uses, such as industrial automation, environmental monitoring, and infrastructure management....
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Any academic institution must maintain an attendance system to teach discipline to students. It is also a factor to evaluate student performance in regularity. The repetition of taking attendance makes it time-consumi...
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Based on the rapid development of modern ecommerce industry, this paper designs a kinematic base library for autonomous guided vehicles to replace manual handling in the current e-commerce market, which can be used fo...
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Along with the remarkable progress of deep learning-based medical image analysis (DLB-MIA), deep learning models are widely deployed for computer-aided diagnosis (CAD). However, Data scarcity and model interpretabilit...
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