Human emotion recognition is the crucial process for performing effective communication and intelligent interaction. Identifying human emotion through discrete technologies is an essential step. Affective computing is...
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Universities that work with information and communications technology (ICT) encounter a number of difficulties, including budgetary constraints, licensing fees, and managing software and hardware. Universities can pro...
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Taking the development of public computing service systems as the background requirement, combined with Digital Twin related technologies, the design of computing units is carried out. Research is carried out from the...
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Text summarization involves creating a short, concise summary that captures the salient points of the source text. We'll demonstrate a synthesis process based on the use of trainable machine learning algorithms wi...
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Over-correction is a critical issue for large language models (LLMs) to address Grammatical Error Correction (GEC) task, esp. for Chinese. This paper proposes a Chain-of-Task (CoTask) framework to reduce over-correcti...
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With the continuous growth of water resource demand and the continuous deterioration of the natural environment, in order to address water pollution problems, ensure water resource safety, and maintain ecological envi...
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ISBN:
(纸本)9798400718144
With the continuous growth of water resource demand and the continuous deterioration of the natural environment, in order to address water pollution problems, ensure water resource safety, and maintain ecological environment quality, this article conducts research on water quality monitoring equipment based on Internet of Things technology. Based on edge computingtechnology, a more efficient and stable connection between sensor monitoring end and cloud platform end is realized, and a trinity of monitoring end, edge computing end and cloud platform end is formed. The sensor detects the water quality information and transmits it to the edge computing end through Zigbee. The edge computing end is responsible for data processing, data storage and early warning, which greatly reduces the computing pressure of the cloud platform and increases the stability. Edge computing end and cloud platform end exchange early warning information through Wi-Fi transmission connection. The research results indicate that the device operates stably, has accurate perception, and timely feedback. It can be vigorously promoted in the field of water quality monitoring.
This study explores how digital technology can enhance communication and decision-making between the Omani government and its citizens. In our digital age, effective communication and collaboration are crucial. The re...
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Intelligent Reflecting Surface (IRS) has emerged as a promising technology to significantly enhance the performance of wireless communication systems. This paper presents a comprehensive study of a double-IRS assisted...
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It focuses on using hierarchical illustration mastering (HRL) for the progressed prognosis of most prostate cancers on MRI scans. HRL is a gadget getting-to-know technique using a hierarchy of function vectors to enco...
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The proceedings contain 78 papers. The topics discussed include: unveiling the landscape of data security and privacy technology: a comprehensive patent analysis;visual analysis of big data of geographical indications...
ISBN:
(纸本)9798350384093
The proceedings contain 78 papers. The topics discussed include: unveiling the landscape of data security and privacy technology: a comprehensive patent analysis;visual analysis of big data of geographical indications products in Guangdong province based on GIS;an efficient information retrieval and tracking algorithm for multiple typesetting styles of the same paper;integrating multiple cloud platforms to build a data pipeline for recommendation systems;research on the application of user behavior big data model in digital intelligence reading service;a fusion lossy and lossless data compression method based on signal attributes;an improved semantic place retrieval method by learning-based clustering;and bibliometric analysis: research trends of privacy in big data and its applications.
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