One of the key aspects that affects women globally is their insecurity in their environment. Especially the most enduring such as sexual harassment, threats through digital morphing, acid attacks, rapes, and the list ...
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RDMA is a technology that enables extremely fast communication between different systems by allowing these systems to transfer data without using the CPU and operating system. This results in the rapid transfer of dat...
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Emotion categorization is used in domains like customer service, social media content moderation, and interaction between humans and computers. Classification of emotion from text is a fundamental issue in NLP, or nat...
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This paper intends to use cloud computingtechnology combined with multi-source heterogeneous data to study extensive data analysis and modeling methods for dense environments. This paper aims to improve the mining an...
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ISBN:
(纸本)9783031705069;9783031705076
This paper intends to use cloud computingtechnology combined with multi-source heterogeneous data to study extensive data analysis and modeling methods for dense environments. This paper aims to improve the mining and detection of massive Internet of Things (IoT) big data in the cloud environment. Firstly, relevant statistical characteristics and correlation rules are extracted from massive IoT big data. Secondly, a multi-source heterogeneous network model based on block is proposed. This paper uses a multi-source isomer model to process the collected data, and it proposes a semantic ontology decomposition method for big data in dense IoT scenarios in a cloud environment, and establishes its association rule knowledge base. Meanwhile, the multi-source heterogeneous information transmission mechanism, and then the dense IoT in the cloud environment is analyzed and mined with big data. Experiments show the proposed algorithm performs better anti-jamming when applied in dense IoT environments. This method has better mining accuracy and less time cost.
This research paper presents the development of an electronic voting system that utilizes blockchain technology and Zero Knowledge Proof to enhance privacy and security during voting. Electronic voting systems have ma...
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This research presents a comparative analysis of modern voice cloning systems, focusing on their ability to generate high-quality speech from limited training data. The paper aims to demonstrate that carefully curated...
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The aging population has led to an increased need for reliable fall detection systems that can provide timely assistance to individuals who have fallen. This paper presents a multi-sensor fusion system designed to det...
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Long Range (LoRa) is the most widely used technology for significant attention in recent years due to their ability to enable long-range, low-power connectivity, making it an ideal communication system for Internet of...
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The increasing density of mobile networks has made the identification of optimal new coverage sites a critical challenge for mobile operators. Traditional methods relying on manual inspections and council plans are la...
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Based on the security of distributed machine learning data and model based on remote proof, a cross-domain dynamic remote proof scheme based on ring signature improves the efficiency of computer cluster proof, the app...
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