The impediments with 6G network construction have encouraged the activity of Machine Learning Resource Allocation Algorithms (MLRA). In terms of flexibility and ability utilisation., MLRA outperforms more normal algor...
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With the continuous development of deep learning and computer vision, various object detection algorithms have been developed. To meet the requirements of current carrying wear image morphology features and detection ...
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To address the balance between spatial details and high-level contextual information in low-dose CT image denoising tasks, a multi-stage progressive generative adversarial network is introduced. This network learns fe...
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In the era of big data, artificial intelligence is widely used in computernetworktechnology, which makes the functional and structural layers of computernetwork system comprehensively optimized. The use of natural ...
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In the contemporary digital landscape, ensuring the continuous functionality of computernetworks is vital for business and critical infrastructure success. This research project utilizes cutting-edge technologies lik...
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In this project, ant algorithm and neural networktechnology are organically integrated to study a new fault diagnosis method. Then the ant algorithm is used to optimize the weight of the neural network, and the optim...
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Intrusion detection systems (IDS) often use machine learning and deep learning to identify and categorize cyber-attacks swiftly. However, as these attacks expand, a robust response becomes crucial. Despite the availab...
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network security refers to the systematic measures used to safeguard computernetworks and the sensitive information they transmit against potential harm, unauthorised entry, and breaches. The concept encompasses a ra...
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The development of wireless technology for ground communications is being aided by the use of unmanned aerial vehicles (UAVs). It is believed that these technologies will continue to advance in the next years. Traditi...
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With the widespread application of blockchain technology, ensuring that its network can efficiently process a large volume of transactions has become crucial. This paper employs the M/M/1 model from queuing theory to ...
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