the proceedings contain 14 papers. the topics discussed include: interdisciplinary perspectives on generative artificial intelligence adoption in higher education: a theoretical framework review;research on impact of ...
ISBN:
(纸本)9798400716980
the proceedings contain 14 papers. the topics discussed include: interdisciplinary perspectives on generative artificial intelligence adoption in higher education: a theoretical framework review;research on impact of AIGC on the development of artificial intelligence education - watermark generation as case study;the role of ChatGPT in Chinese reading education for Chinese as a heritage language (CHL) learners;a systematic literature review of the opportunities and advantages for AIGC (OpenAI ChatGPT, copilot, codex) in programming course;exploration of engineering and design fusion in 3E of digital media technology major empowered by AIGC;and research on the evaluation system of higher education teaching quality based on artificial intelligence.
Image generation using deep learning generative models has witnessed significant strides in various domains, particularly in scene and object generation. However, the complexities escalate when applied to facial image...
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ISBN:
(纸本)9798350386608;9798350386592
Image generation using deep learning generative models has witnessed significant strides in various domains, particularly in scene and object generation. However, the complexities escalate when applied to facial image generation, especially in healthcare scenarios where detailed and realistic depictions are crucial. this paper introduces a pioneering approach to generating lifelike faces with specific attributes, including age, hair color, and gender, leveraging the manipulable latent space of a generative Adversarial Network (GAN). the proposed system not only holds promise for applications such as criminal identification and film production but also showcases practical implications in the healthcare domain. By offering a user-friendly interface for attribute input and face display, the system facilitates healthcare professionals in generating diverse patient avatars for medical training simulations. the implementation utilizes Python, PyTorch, and the CelebA dataset, withthe training process conducted on Google Colab for computational efficiency. this work represents a novel intersection of advanced deep learning, human-computer interaction, and real-world healthcare applications, providing a holistic exploration of attribute-driven face synthesis in the medical field.
Withthe recent emergence of generative AI (Artificial intelligence), Large Language Model (LLM) based tools such as ChatGPT have become popular assistants to humans in diverse tasks. ChatGPT has also been widely adop...
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ISBN:
(纸本)9798350386608;9798350386592
Withthe recent emergence of generative AI (Artificial intelligence), Large Language Model (LLM) based tools such as ChatGPT have become popular assistants to humans in diverse tasks. ChatGPT has also been widely adopted for solving programming problems and for generating source code in software development. this research investigates boththe code quality and the consistency of code quality over iterative prompts in 625 ChatGPT-generated Python code samples in the DevGPT dataset and the corresponding code snippets regenerated by manually prompting ChatGPT. Code samples are measured in terms of seven Halstead complexity metrics. We also assess how consistent they are across code snippets generated by different versions of ChatGPT. It was found that while ChatGPT generates good quality code across iterative prompts, it does generate semi-frequent bugs, similar to how humans do, necessitating code review before integration. these traits also remain consistent across code snippets generated by subsequent releases of ChatGPT. these results suggest using AI-generated source code in software development will not hinder the process.
Nowadays, visualization is one of the most important things an integrated development environment or any smart code editor needs to have. there are several different options when it comes to the visualization. It play...
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ISBN:
(纸本)9798350386608;9798350386592
Nowadays, visualization is one of the most important things an integrated development environment or any smart code editor needs to have. there are several different options when it comes to the visualization. It plays a crucial role in software development and has several important benefits, like understanding the code structure, debugging, or troubleshooting. Code visualization enhances developer productivity, facilitates collaboration, and contributes to the maintainability and scalability of software projects. It is an essential aspect of modern software development practices. In this paper, we focus on one of the most widely used code editors - Visual Studio Code - and on a core componentthat drives the Visual Studio Code called Monaco Editor, mainly on how they can visualize different sections of a code and their complexity when it comes to visualization. Source code visualization refers to representing code visually to enhance understanding, analysis, and communication of software systems.
In modern software, including web applications, context-dependent behavior is one of the most important features. Context-oriented programming (COP) is a suitable programming technique for developing such software. Ho...
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ISBN:
(纸本)9798400707551
In modern software, including web applications, context-dependent behavior is one of the most important features. Context-oriented programming (COP) is a suitable programming technique for developing such software. However, we often need to work on handling parameter values in layers. this problem which we experience during the development of web application means inconvenience in setting parameters by each layer. We call it "layer parameter problem." Especially front-end web applications use a component-based approach with a DOM tree, making the layer parameter problem more complicated because they cannot handle COPs in class-in-layer and layer-in-class models. We propose ReactCOP, an implementation of an idea that applies COP to React, one of the front-end web application libraries. ReactCOP solves the parameter problem on a layer-in-component model. As the solution to this problem, we present Layer Parameter Management that dynamically switches values in a variable within a layer. In this paper, we propose ReactCOP with Layer Parameter Management. Finally, we investigate our proposed approach through two case studies.
Withthe development of information technology, the blended teaching model has received extensive attention in the field of education. the blended teaching model is an effective way to improve the innovation and chall...
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Medical analysis is a key component of contemporary healthcare since it helps doctors diagnose patients accurately to plan and track their treatments. Accurate identification of brain tumors is essential for doctors t...
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Industrial process engineering and PLC program development have traditionally favored Function Block Diagram (FBD) programming over classical imperative style programming like the object oriented and functional progra...
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ISBN:
(纸本)9781665490511
Industrial process engineering and PLC program development have traditionally favored Function Block Diagram (FBD) programming over classical imperative style programming like the object oriented and functional programming paradigms. the increasing momentum in the adoption and trial of ideas now classified as "No Code" or "Low Code" alongside the mainstream success of statistical learning theory or the so-called machine learning is redefining the way in which we structure programs for the digital machine to execute. A principal focus of "No Code" is deriving executable programs directly from a set of requirement documents or any other documentation that defines consumer or customer expectation. We present a method for generating Function Block Diagram (FBD) programs as either the intermediate or final artifact that can be executed by a target system from a set of requirement documents using a constrained selection algorithm that draws from the top line of an associated recommender system. the results presented demonstrate that this type of No-code generative model is a viable option for industrial process design.
In enterprise software development, component-based front-end page technology is becoming increasingly important. However, traditional manual component-based programming is difficult to adapt to increasingly complex e...
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the primary component in this paper is to investigate the facial emotional states and EEG indicators, especially in pressure, for the duration of the interplay with games. the proposed paper identifies sure precise ex...
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