With the continuous development of computer network technology, artificial intelligence stands out. Although its technology is not mature enough, artificial intelligence is also a kind of human intelligence technology...
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With the rapid development of cloud computing technology, software engineering and mobile application development have ushered in new opportunities and challenges. This paper analyzes the application of cloud computin...
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The country economy is the basic unit of the national economic system, and the innovation development of the homestay industry is currently an important supporting point to implement rural revitalization strategy and ...
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Generative artificial intelligence is an artificial intelligence technology based on deep learning whose core lies in leveraging computer algorithms and training data to generate new, practically valuable content, enc...
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With the emergence of GPT developed by the OPENAI team, artificial intelligence is in a thriving stage of development. This article aims to design and implement an intelligent data analysis platform based on artificia...
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The integration of education for sustainable development (ESD) into K-12 curriculum has become crucial in the global pursuit of a sustainable future. Education for climate change, one of the main ESD topics, needs to ...
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ISBN:
(纸本)9783031804717;9783031804724
The integration of education for sustainable development (ESD) into K-12 curriculum has become crucial in the global pursuit of a sustainable future. Education for climate change, one of the main ESD topics, needs to connect to student's real life and authentic learning. The objective of this study was to suggest the creation and advancement of climate change educational material utilizing eXtended reality (XR). The material was intended to utilize digital twin data related to carbon emissions and portray the level of carbon neutrality across the map of South Korea. The ESD content was crafted following the fundamental stages of the ADDIE instructional design model. Furthermore, this study provided a model for the development process of XR-based ESD content and explored its educational effectiveness.
More researchers are starting to focus on the intersection of artificial intelligence and education as a result of the technology's ongoing advancements. The paper conducts a thorough analysis of the research hots...
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To enhance the market competitiveness of enterprises in the context of sustainable development, an intelligent technology-based green marketing decision support system is constructed. Methods such as multi-source data...
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The proceedings contain 30 papers. The special focus in this conference is on Recent Trends in Advanced Computing - computer Vision and Machine Intelligence Paradigms for Sustainable development Goals. The topics incl...
ISBN:
(纸本)9789811971686
The proceedings contain 30 papers. The special focus in this conference is on Recent Trends in Advanced Computing - computer Vision and Machine Intelligence Paradigms for Sustainable development Goals. The topics include: Advanced Algorithmic Techniques for Topic Prediction and Recommendation—An Analysis;Implementation of an Automatic EEG Feature Extraction with Gated Recurrent Neural Network for Emotion Recognition;high Performance Classifier for Brain Tumor Detection Using Capsule Neural Network;Mining Suitable Symptoms to Identify Disease Using Apriori and NBC;background Features-Based Novel Visual Ego-Motion Estimation;livspecs: Design and Implementation of Smart Specs for Hearing and Visually Challenged Persons;Self-balancing Robot Using Arduino and PID Controller;a Survey Based on Online Voting System Using Blockchain technology;convergence Perceptual Model for Computing Time Series Data on Fog Environment;survey on Collaborative Filtering Technique for Recommender System Using Deep Learning;a Survey on Power Consumption Indicator Using Machine Learning-Based Approach;a Novel Hand Gesture Recognition for Aphonic People Using Convolutional Neural Network;comprehensive Analysis of Defect Detection Through Image Processing and Machine Learning for Photovoltaic Panels;covid Analysis Prediction Using Densenet Method in Deep Learning;Feature Extraction Based on GLCM and GLRM Methods on COVID-19 Dataset;memory Augmented Distributed Monte Carlo Tree Search Algorithm-Based Content Popularity Aware Content Recommendation Using Content Centric Networks;Enhancing Protection Against Scalper Bots with ML;An Enhanced Optimized Abstractive Text Summarization Traditional Approach Employing Multi-layered Attentional Stacked LSTM with the Attention RNN;implementation of Machine Learning Methods on Data to Analyze Emotional Health;SMS Spam Classification Using PSO-C4.5.
This paper elaborates on the overall architecture of the airborne collector automated test system and the functional designs of its principal modules, such as the control subsystem and the signal source subsystem. It ...
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