In this study, we implemented a multi-level queue scheduling algorithm for a hospital with three wards: General, Pandemic, and Arogya Sree. The Pandemic ward uses priority scheduling, while the others use FCFS. It als...
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In the evolving landscape of machine learning research, two significant developments have emerged to prominence: foundation models and federated learning. The FL@FM-TheWebConf’24 workshop provides an exciting forum f...
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With the announcement of the most advanced silicon spin quantum-bit (qubit) chip by Intel, silicon-based quantum circuit manufacturing technology has shown the superior potential to realize quantum computing to other ...
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Control theory is a field rich in opportunities and new directions dealing with an automatic decision process to improve a control system's output. This paper presents the stabilization of the pendulum in an uprig...
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The entrance of 6G wireless communication systems has reached the peak of connectivity development as the systems are projected to stand out with the remarkable speed, reliability and efficiency level not only compare...
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Federated learning is mainly to solve the problem of data privacy in distributed machine learning, but the current non independent and identically distributed (non-iid) data poses a serious challenge to federated lear...
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Machine learning algorithms always perform well to solve real-life problems encountered in daily life. Due to large data sets, analysis is also becoming too complex to predict anything. A lot of calculations are being...
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As an important part of civil aviation flight, the safe operation of omnidirectional ranges plays an important role in the safe operation of aircraft. However, with the rapid development of the aviation industry in re...
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A fixed signal timing optimization method utilizing historical trajectory data at intersections is proposed. A model applicable to low-resolution trajectory data is developed to optimize fixed signal timing. The model...
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Using the YOLO v8 model and deep learning approaches, this study explores the field of e-waste management and provides effective item detection. Our research attempts to increase the accuracy and scalability of e-wast...
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