With the wide spread of Internet of Things (loT) devices, edge computing plays a decisive part in meeting the computational demands of loT applications. Efficient resource allocation in such networks is essential to e...
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According to the basic principle of digital twin technology, a reconfigurable digital twin architecture is proposed to solve the problem of when to reconstruct the reconfigurable manufacturing system. It is designed f...
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Small-sample semantic segmentation is an important task in computer vision. Its purpose is to achieve accurate pixel-level classification in the case of very limited annotation data. Small sample scenarios usually do ...
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In recent years, the number of computer science students has steadily risen, but the time for educators to give feedback to the students remains the same. Because of this predicament, many systems for the automatic or...
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ISBN:
(纸本)9798400706226
In recent years, the number of computer science students has steadily risen, but the time for educators to give feedback to the students remains the same. Because of this predicament, many systems for the automatic or semi-automatic assessment of student tasks were developed. A fundamental problem of this development is that most of these assessment systems deploy a different type of data representation, which leads to a lack of interoperability between the approaches. This hinders the reuse of teaching materials that need to match the targeted system, leading to situations in which instructors need to recreate their materials. In this work, we aim to close this gap by introducing a model-driven approach called Assisted Assessment. The approach uses a technology-independent assessment model to bridge instructors' and assessment systems' technical spaces, helping instructors to transform their material for various systems. We introduce Assisted Assessment by describing the scenario of an undergraduate course for software technology and how the approach can help to manage the different available assessment systems.
This research presents a novel weapon detection system that combines state-of-the-art technologies for enhanced security. The system integrates a Convolutional Neural Network (CNN) for precise image-based weapon class...
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This paper presents a full analysis of the state of electrification technologies today, including a synopsis of recent developments and new trends. Electrification is essential to the transformation of many industries...
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This paper addresses the crucial goal of improving communication between the deaf and mute community and the broader public. We present the development of a sign language translator that effectively converts hand gest...
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This paper aims at the problem of lightweight design of a leading tank truck production enterprise in China. It analyzes the methods of lightweight and combines them with the actual requirements. Using ANSYS software,...
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Cardiac-related diseases always lead to fatal consequences around the globe. This research includes vague data analysis of the data related to cardiac anomalies. This study proposes a method to develop a dimension red...
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The purpose of this conference paper is to reveal the current state of seismic performance research on bamboo structural buildings based on a systematic literature review. The significant contribution by China to this...
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