Sentiment analysis has emerged as a critical method for measuring the usefulness of YouTube educational videos in the ever-expanding ecosystem of online educational content. The goal of this project is to create a mul...
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The Unified Payment Interface (UPI) has revolutionized digital payments in India, providing a convenient and secure way for individuals to transfer funds. However, the increasing popularity of UPI has also attracted m...
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This research project presents the development of a novel Voice-Assisted Facial Emotion Recognition System tailored to address the unique needs of blind individuals. Leveraging the power of deep learning and the Tenso...
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To improve cybersecurity threat identification and incident response capabilities, the suggested cloud-based darknet traffic analysis and categorization system incorporates cutting-edge machine learning algorithms and...
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Alzheimer's disease is a very serious neurological condition. Memory loss and a progressive decrease in mental capabilities are what ensue. This AD impacts millions of people across the world. Deep emotional distu...
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By anticipating behavioural patterns and preventing the spread of harmful memes, machine learning enhances psychology. Cutting-edge algorithms identify meme humour and assess its influence on communities. Psychology&#...
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This paper designs and implements a compact server system based on the Raspberry Pi 4B and tailored to specific low-end and budget-constrained environments, such as home offices and small businesses, through the integ...
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Despite the significant impact of convolutional neural networks (CNNs) across various domains, one of their limitations is the lack of consideration for spatial orientations. Capsule networks have the potential to add...
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Cloud storage auditing research is dedicated to solving the data integrity problem of outsourced storage on the cloud. In recent years, researchers have proposed various cloud storage auditing schemes using different ...
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Cloud storage auditing research is dedicated to solving the data integrity problem of outsourced storage on the cloud. In recent years, researchers have proposed various cloud storage auditing schemes using different techniques. While these studies are elegant in theory, they assume an ideal cloud storage model;that is, they assume that the cloud provides the storage and compute interfaces as required by the proposed schemes. However, this does not hold for mainstream cloud storage systems because these systems only provide read and write interfaces but not the compute interface. To bridge this gap, this work proposes a serverless computing-based cloud storage auditing system for existing mainstream cloud object storage. The proposed system leverages existing cloud storage auditing schemes as a basic building block and makes two adaptations. One is that we use the read interface of cloud object storage to support block data requests in a traditional cloud storage auditing scheme. Another is that we employ the serverless computing paradigm to support block data computation as traditionally required. Leveraging the characteristics of serverless computing, the proposed system realizes economical, pay-as-you-go cloud storage auditing. The proposed system also supports mainstream cloud storage upper layer applications(e.g., file preview) by not modifying the data formats when embedding authentication tags for later auditing. We prototyped and open-sourced the proposed system to a mainstream cloud service, i.e., Tencent Cloud. Experimental results show that the proposed system is efficient and promising for practical use. For 40 GB of data, auditing takes approximately 98 s using serverless computation. The economic cost is 120.48 CNY per year, of which serverless computing only accounts for 46%. In contrast, no existing studies reported cloud storage auditing results for real-world cloud services.
Alzheimer's disease (AD) is a widespread neurodegenerative diseases and primary cause of dementia whose pathology results in memory loss and other cognitive deficits. It therefore calls for rapid and correct ident...
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