The proliferation of fake news and its detrimental impact has spurred significant research in fake news detection. Existing studies have primarily focused on classifying news content in a broader definition, for examp...
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In recent years, with the continuous development of big data and cloud computing services, the scale of data centers has become larger and larger, and the rapidly increasing network traffic has also put forward higher...
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With the passage of time, paintings can be damaged, and common deteriorations found in ancient paintings include cracking. Cracks can be caused by many factors, such as ageing, drying, and mechanical factors. The dete...
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The proceedings contain 274 papers. The topics discussed include: application method for highway traffic flow prediction and speed optimization based on BP neural network;singular value decomposition (SVD) based optim...
ISBN:
(纸本)9798350313413
The proceedings contain 274 papers. The topics discussed include: application method for highway traffic flow prediction and speed optimization based on BP neural network;singular value decomposition (SVD) based optimal image compression technique;hybrid optimization algorithm for effective clustering algorithm and routing protocol in MANET;an optimized deep learning technique for enhance disease identification in tomato leaf to promote sustainable agriculture;LungVision in humans-an ensemble method of classification of cancer in lungs;SE-Resnet152 model: early corn leaf disease identification and classification using feature based transfer learning technique;advanced educational assessments: automated question classification based on bloom’s cognitive level;mobile application for M-learning among students in higher education;a comprehensive analysis of chronic health diseases using big data;and the influence of photovoltaic grid connection on power quality of power grid and control technology based on big data.
In research aimed at determining ways to protect the data of primary and secondary school students, as well as students and innovators who have submitted their ideas and innovations to innovation fairs in the territor...
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This paper first introduces the requirements of the current State Grid for the management of edge sites, and then introduces the edge platform of the current business. Then, it introduces a logical architecture design...
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In underwater acoustic sensor networks, it is a challenging task to collect and transmit data effectively. In this paper, to solve the problem of large time delay and serious packet loss in underwater acoustic data co...
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This study investigates the application of machine learning methods to large-scale healthcare community data for disease prediction. The study makes use of a dataset containing information about the healthcare communi...
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Traditional rainfall-runoff prediction methods are mainly based on a single data source, such as only using meteorological observation to analyze and predict numerical data. However, this method is often affected by f...
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Unsettled debt is a central global problem for banks and businesses. Being able to accurately predict which loans will default would be incredibly valuable for understanding the state of the economy. Machine learning ...
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