To solve the problem of shallow cross-modal interaction depth, information loss during feature fusion, and semantic ambiguity leading to low algorithm accuracy in the field of visual question answering, a visual quest...
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Network updates have become increasingly prevalent since the broad adoption of software-defined networks(SDNs)in data *** TCP designs,including cutting-edge TCP variants DCTCP,CUBIC,and BBR,however,are not resilient t...
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Network updates have become increasingly prevalent since the broad adoption of software-defined networks(SDNs)in data *** TCP designs,including cutting-edge TCP variants DCTCP,CUBIC,and BBR,however,are not resilient to network updates that provoke flow *** this paper,we first demonstrate that popular TCP implementations perform inadequately in the presence of frequent and inconsistent network updates,because inconsistent and frequent network updates result in out-of-order packets and packet drops induced via transitory congestion and lead to serious performance *** look into the causes and propose a network update-friendly TCP(NUFTCP),which is an extension of the DCTCP variant,as a *** are used to assess the proposed *** findings reveal that NUFTCP can more effectively manage the problems of out-of-order packets and packet drops triggered in network updates,and it outperforms DCTCP considerably.
The current automatic speech recognition (ASR) technology has achieved remarkable success, but it is vulnerable to adversarial attacks. To solve the problem that existing adversarial attack methods are difficult to ca...
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Pedestrian re-identification algorithms are crucial in personnel localization tasks in underground coal mines. The high similarity in attire among personnel in this environment renders general pedestrian re-identifica...
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In this paper, we propose a lightweight approach to address the problems of noise amplification, detail loss, and edge blurring encountered in low-light image enhancement, which typically hinder subsequent computer vi...
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In response to the issues of polysemy in word vectors and inadequate contextual comprehension in traditional text summarization algorithms, this paper proposes a text summarization generation algorithm based on an imp...
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Fault detection of High-speed train based on maintenance data is very important for the maintenance work of High-speed train and is the basis for the safe operation of High-speed train. In order to fill the gaps in th...
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This study presents an innovative approach to probabilistic time series forecasting, emphasizing the principle of justifiable granularity coupled with fuzzy set theory to address the intricacies of time series forecas...
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Educational institutions frequently suffer from inefficiencies in decision-making, interdepartmental communication, and administrative procedures. In order to optimize resource allocation, automate procurement workflo...
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In the application scenario of automatic segmentation diagnosis for dental lesions, the focus of semantic segmentation tasks lies in how to design a lightweight segmentation network enabling model deployment on edge d...
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