India is one of the most popular countries in the world and provides significant health care support to people. Managing the emergency vehicles with lifesaving benefits are highly demanded. During uncertain situations...
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Ensuring the development of high-quality leather products in the industrial sector requires a strong focus on leather quality assurance. In this study, a unique method for enhancing leather quality assurance using Con...
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Quality control in the pizza-making process is essential to meet consumer expectations. In the age of online delivery, verifying the delivered pizza is necessary. The pizza usually consists of a base, sauce, cheese, v...
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Accurate prediction of potato diseases plays a vital role in maintaining crop health and maximizing agricultural yield. This study presents a deep learning approach utilizing Convolutional Neural Networks (CNNs) integ...
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Client turnover is a significant issue for large organizations, particularly within the telecom sector, where it has a direct impact on profitability. To address this, telecom providers are increasingly focusing on de...
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Based on the theory of intelligent perception and deep learning, this paper discusses the interactive design method of virtual reality (VR) platform based on artificial intelligence, and carries out in-depth analysis ...
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ISBN:
(纸本)9798400718212
Based on the theory of intelligent perception and deep learning, this paper discusses the interactive design method of virtual reality (VR) platform based on artificial intelligence, and carries out in-depth analysis of its modeling and evaluation process. The research shows that the multi-user collaborative recommendation algorithm can effectively reduce the concurrency of users in the interactive system. At the same time, the deep learning algorithm model can predict the data flow and feature information in the virtual reality scene, and the performance results are obtained through iterative operations. The results show that the initial stability of the system is about 90%, and the fluctuation range is between 80% and 100% as time goes by. Under the premise of maintaining stability of 80% to 100%, small vibration caused by random noise leads to stability fluctuations. The system shows a certain degree of robustness and elasticity in the fluctuation range of 80% to 100%, and can maintain stability in response to external interference, and realize functions such as intelligent roaming and environmental monitoring of the VR platform.
Inherently, the framework of Inn Suggestion presents an entirely hybrid approach to making hotel recommendations. The framework encompasses content-based and collaborative filtering techniques into a single system by ...
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Despite revolutionizing fields like eHealth, smart cities, and autonomous systems, the Internet of Things (IoT) has presented serious security challenges due to its widespread usage. This study gives an extensive revi...
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Unemployment among graduates is a persistent issue, largely because traditional academic evaluations don't always reflect the skills employers seek. This study explores a new approach to predict employability base...
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To find the Alzheimer's Disease biomarkers K-means clustering, Principal Component Analysis and hierarchical clustering are employed in categorization of patients. In Machine learning introductory results manifest...
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