Autonomous vehicles (AVs) increasingly rely on vehicle-to-everything (V2X) networks for communication. However, due to the devices' heterogeneity, they are more susceptible to attacks like distributed denial of se...
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The primary cause of mortality in youngsters aged below five is pneumonia, a lung condition. In 2016, a UNICEF survey found that infants under the five-year-old limit made up around 16% of fatalities. Most of the affl...
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作者：
Khadse, ShrikantGourshettiwar, PalashPawar, Adesh
Faculty of Engineering and Technology Wardha442001 India
Faculty of Engineering and Technology Department of Computer Science and Medical Engineering Wardha442001 India
Department of Computer Science and Medical Engineering Maharashtra Wardha442001 India
Meta-learning aims to create Artificial Intelligence (AI) systems that can adapt to new tasks and improve their performance over time without extensive retraining. The advent of meta-learning paradigms has fundamental...
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Presently, with the quantity of data developing dramatically, the judicious utilization of large data has become the focal point of ventures to serve the future and settle on better choices. Utilizing Machine Leaning ...
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This work studies a peer-to-peer file streaming system with the following characteristics. The file streaming capacity is dynamic and depends on the storage capacity of the individual peers' devices. The large fil...
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Omission and reference frequently occur in dialogues, which complicate the semantic structure of the dialogue and hinder the understanding of dialogue systems. Facing the challenge, researchers propose a new task, Inc...
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Omission and reference frequently occur in dialogues, which complicate the semantic structure of the dialogue and hinder the understanding of dialogue systems. Facing the challenge, researchers propose a new task, Incomplete Utterance Rewriting (IUR). IUR systems supplement information for utterances in a dialogue based on the previous context. By utilizing the substitutive nature of IUR, action-based models have recently led to much development on IUR compared to conventional sequence-to-sequence models. The current state-of-the-art method models IUR in a connected region locating scenario. As a result, the heavy burden for training and decoding hinders the efficiency significantly, especially when the dialogue context length increases. Thus, towards faster and more accurate IUR, this task should be modeled more naturally in a pair locating form where pairwise scorers locate pairs representing span and substitution relations. Following this idea, we propose a Cross Scorer Sharing (XSS) model to initially support pair locating. We experiment with XSS on both English and Chinese IUR datasets, and results have shown that our model leads to comparable or better performance than the previous state-of-the-art. For efficiency, our method is 132% faster when training and 85.1% faster when predicting. IEEE
Requirements form the basis for defining software systems’ obligations and tasks. Testable requirements help prevent failures, reduce maintenance costs, and make it easier to perform acceptance tests. However, despit...
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It is possible to tell a lot about a person just by looking at their handwriting. The way someone writes might tell you a lot about who, they are as a person. There has been a lot of study on the possibility of deduci...
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This research paper addresses the enhancement of data security and privacy in cloud storage through diverse encryption methods, such as one-to-many encryption, data integrity, resilient data deletion, and privacy-pres...
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The recent improvements in the natural language processing (NLP) field have made it possible to create extremely powerful models such as Generative Pre-trained Transformers (GPT), used for generating human-sounding, c...
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