The requirement of the job for people and employees for employers are al-ways in demand. This is due to the lack of proper infrastructure to reduce the unmatching job application for employers and inappropriate job re...
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Commonsense knowledge representation and reasoning is key tor tasks such as artificial intelligence and natural language understanding. Since commonsense consists of information that humans take for granted, gathering...
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In this paper, we proposed a novel joint statistical deformable model (SDM) that incorporates prior knowledge of the missing data into the data recovery process for medical organs. Our approach formalized the prior kn...
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High-performance libraries, the performance-critical building blocks for high-level applications, will assume greater importance on modern processors as they become more complex and diverse. However, automatic library...
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The poor quality of images recorded in low-light environments affects their further *** improve the visibility of low-light images,we propose a recurrent network based on filter-cluster attention(FCA),the main body of...
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The poor quality of images recorded in low-light environments affects their further *** improve the visibility of low-light images,we propose a recurrent network based on filter-cluster attention(FCA),the main body of which consists of three units:difference concern,gate recurrent,and iterative *** network performs multi-stage recursive learning on low-light images,and then extracts deeper feature *** compute more accurate dependence,we design a novel FCA that focuses on the saliency of feature *** and self-attention are used to highlight the low-light regions and important channels of the *** also design a dense connection pyramid(DenCP)to extract the color features of the low-light inversion image,to compensate for the loss of the image's color *** results on six public datasets show that our method has outstanding performance in subjective and quantitative comparisons.
With the emergence of computers in every day activities and with the ever-growing complexity of networks and network communication protocols, covert channels are becoming an eminent threat to the confidentiality of in...
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Joint intent detection and slot filling has recently achieved tremendous success in advancing the performance of utterance understanding. However, many joint models still suffer from the robustness problem, especially...
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In this paper, we propose a distributed group signature scheme with traceable signers for mobile Ad hoc networks. In such scheme, there isn't a trusted center, and all members of Ad hoc group cooperate to generate...
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The innovative method was developed by bringing federated learning methods to the medical field. In this study, the author refined federated learning models with data sets containing photographs of brain tumors. The c...
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In the bigdata era, metadata performance is critical in modern distributed file systems. Traditionally, the metadata management strategies like the subtree partitioning method focus on keeping namespace locality, whil...
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