The proceedings contain 26 papers. The topics discussed include: building extraction from high-resolution remote sensing image based on improved ResUNet network;a visual based algorithm for measuring the speed of scra...
ISBN:
(纸本)9798400718090
The proceedings contain 26 papers. The topics discussed include: building extraction from high-resolution remote sensing image based on improved ResUNet network;a visual based algorithm for measuring the speed of scrap metal vibration feeding;semantic segmentation for virtual-real fusion data processing in nonferrous metal process industry;an evaluation method based on fuzzy model for the autonomous and controllable of the spacecraft component production;discrete-time physics-informed neural networks for two-phase flow interface capturing;comprehensive review: advancing cognitive computing through theory of mind integration and deep learning in artificial intelligence;and kinematics behaviors evaluation of a naval ship survival training simulation system in case of longitudinal shaking.
These days, social media has a significant impact on everyone's life. Most people frequently utilize social media platforms. Each of these social media platforms offers benefits and drawbacks, as well as security ...
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Finance is a compulsory basic course for finance students. At present, students have the following problems when studying Finance: insufficient knowledge transfer ability, insufficient attention to practical problems,...
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Welding is a commonly used industrial process. In this process two or more metal pieces or thermoplastics components are securely joined together by applying heat and pressure. Though the welding process depends on mu...
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Assessing the interdisciplinary learning quality of student learning processes is significant but complex. While some research has experimented with ChatGPT for qualitative analysis of text data through crafting promp...
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ISBN:
(纸本)9783031643118;9783031643125
Assessing the interdisciplinary learning quality of student learning processes is significant but complex. While some research has experimented with ChatGPT for qualitative analysis of text data through crafting prompts for tasks, the in-depth consideration of task-specific knowledge, like context and rules, is still limited. The study examined whether considering such knowledge can improve ChatGPT's labeling accuracy for interdisciplinary learning quality. The data for this research consists of 252 online posts collected during class discussions. This study utilized prompt engineering, fine-tuning, and knowledge-empowered approaches to evaluate student interdisciplinary learning and compare their accuracy. The results indicated that unmodified GPT-3.5 lacks the capability for analyzing interdisciplinary learning. Fine-tuning significantly improved the models, doubling the accuracy compared to using GPT-3.5 with prompts alone. Knowledge-empowered approaches enhanced both the prompt-based and fine-tuned models, surpassing the researchers' inter-rater reliability in assessing all dimensions of student posts. This study showcased the effectiveness of combining fine-tuning and knowledge-empowered approaches with advanced language models in assessing interdisciplinary learning, indicating the potential of applying this method for qualitative analysis in educational settings.
This research study explores the development of an innovative method for identifying stress in IT professionals through the analysis of facial images, utilizing advanced image processing and machine learning technique...
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This research examines the issues and solutions of machine learning with sparse, heterogeneous data. Heterogeneous data includes a variety of data kinds and architectures, such as structured, semi-structured, and unst...
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The paper explores the application of machine learning algorithms for network traffic intrusion detection with the aim of enhancing the security of information systems. More specifically, it provides a comprehensive i...
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In the teaching process of colleges and universities, there is a general lack of early-warning technology for failing grades, and teachers cannot identify the students at risk of failing grades in advance. Thus, the t...
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Growing health risks has brought up remarkable impact in the mind of people to find the most important factors responsible for diseases like diabetes, heart disease and so on. In this study, authors have gone through ...
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