This study aims to create a financial performance evaluation model for agricultural listed companies using the BP neural network, addressing traditional systems' inaccuracies. Based on the characteristics of these...
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In order to improve the identification efficiency of garbage cleaning, we improve the identification speed and accuracy by studying the data and models of garbage classification and detection, so as to achieve higher ...
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network slicing in Optical Transport networks (OTNs) is a promising technology to provide hard resource isolation and performance assurance of services with diverse requirements. When network slices are allowed to req...
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ISBN:
(纸本)9798350348439;9798350384611
network slicing in Optical Transport networks (OTNs) is a promising technology to provide hard resource isolation and performance assurance of services with diverse requirements. When network slices are allowed to request their scaling based on their service traffic trends (i.e., dynamic network slicing), it is difficult for a slice provider to maintain resource isolation and high resource utilization simultaneously. We formulate a blocking prediction problem for the slice provider to assess the possibility of future blocking events for a given set of slice requests. We use a Multi-Layer Perceptron classifier to identify a set of slice requests that would cause blocking. It is demonstrated by the simulations with different request patterns that our proposal outperforms other learning-based approaches. The results indicate that a slice provider could assess the risk of experiencing a violation of service assurance when accepting a set of requests and take an appropriate countermeasure such as admission control, using our prediction module.
Wireless sensor network (WSN) is widely used in fields such as marine environmental protection, and their nodes are usually deployed randomly, which can easily lead to low coverage in the monitoring area. On the basis...
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In the era of mobile internet, network literacy is an important part of the overall quality of college students. Improving the network literacy of college students is of great practical significance for strengthening ...
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Because the communication network data may be subjected to various malicious attacks in the process of transmission, there are serious risks such as leakage and tampering of communication network data. Therefore, a se...
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SDN, as a flexible and programmable network architecture, presents challenges in data transmission security and authentication complexity due to its distributed nature. To address these challenges, this paper proposes...
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With the development of artificial intelligence, artificial intelligence technology is widely used in robots. For example, emotional computing robots need to be able to complete the function of facial expression analy...
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ISBN:
(纸本)9798350349184;9798350349191
With the development of artificial intelligence, artificial intelligence technology is widely used in robots. For example, emotional computing robots need to be able to complete the function of facial expression analysis. The multi-task deep learning model MCAN proposed in this paper is designed to complete facial expression analysis for robots which can predict discrete expressions and dimensional measures. The class center loss function proposed in this paper can increase the inter-class distance while reducing the intra-class distance. In addition, multi-head attention network was improved to focus on different areas of the input image. Finally, feature pyramid network allows information exchange and fusion between feature maps at different levels. Experiments have proven that MCAN achieves excellent results on both the AffectNet dataset and the AFEW-VA dataset, and also speeds up inference.
Internet of Things (loT) is the new expertise for various significant application growth. To avoid adversarial attacks, network intrusion, and fraud, Intrusion Detection System (IDS) is one of a primary element of org...
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Sign language enhances the communication capabilities of the deaf-mute community, allowing for a deeper understanding of their needs and emotions. These languages are highly structured and visual, using gestures and v...
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