In the process of program development and maintenance, with the continuous upgrading and iteration of the program, the code structure becomes more and more complex, and the code comments are frequently out-of-date, in...
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Producing learning videos for flipped classrooms is a time-consuming and manual task. This paper presents a method and software to create SCORM units for computerscience courses. The method consists of a common struc...
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ISBN:
(纸本)9798350378986;9798350378979
Producing learning videos for flipped classrooms is a time-consuming and manual task. This paper presents a method and software to create SCORM units for computerscience courses. The method consists of a common structure for learning videos, a Python script to create SCORM units, and ChatGPT for quiz creation. The software is based on the open-source software FFmpeg for video production. The results after 40 learning units show that producing a learning video can be automated to a great extent.
In recent years, deep reinforcement learning (DRL) has demonstrated significant capabilities in adjusting traffic signal timing. However, designing a multi-objective reward structure and addressing the issue of reward...
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In Internet of Vehicles, a multi-factor weighted relay-node selection method is proposed to address the problem that single-hop relay node performance is optimal but its multi-hop is not optimal, which exists on the g...
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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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the Ant Colony Optimization (ACO) algorithm is a famous metaheuristic technique that has been successfully applied in various optimization issues. It mimics the foraging conduct of ants to locate the shortest path amo...
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Currently, most multi-modal fake news detection methods rely on fusing multi-modal features using a single criterion, overlooking the potential contribution of original multi-modal information in fake news detection a...
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Light field data provides effective spatial information and focus cues for saliency detection in complex scenes. However, existing research on light field saliency detection still faces limitations. Therefore, this pa...
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Intention detection and slot filling are two main tasks in the field of natural language understanding in natural language processing. Since the two tasks are highly correlated, the two tasks are often modeled jointly...
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As one of the important instruments in ocean exploration and survey, multi-beam sounder has been paid more and more attention by many countries. There are manpower and material resources have been invested in its deve...
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