Supply chain in agriculture field is very important as the cultivated goods are sensitive for time and temperature. Most of the time, middlemen act as the price-fixing authorities. The farmer's profit declines as ...
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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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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
In this article, researchers discuss the ways in which computers can assist doctors in diagnosing diseases by summarizing medical records. They also explore the impact of using computers to analyze health records on h...
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Swarm intelligence (SI) is a class of Artificial Intelligence (AI) algorithms inspired by the collective behavior of social insect colonies. At its core lies the property of self-organization, namely, the emergence of...
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computer network security and integrity are severely impacted by network attacks. The ability to predict and prevent these attacks is crucial for maintaining a secure network environment. Supervised ML (Machine Learni...
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Traffic rules play an important role in regulating traffic flow, ensuring the safety of all road users and preventing the occurrence and frequency of accidents. Without the implementation of traffic rules, the roads w...
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Hygiene violations in restaurant kitchens pose significant risks to public health, necessitating effective monitoring and compliance systems. This paper introduces a sophisticated system integrating machine learning, ...
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In many researches, the field of medical image analysis has made noteworthy strides, thanks to the implementation of sophisticated machine learning methods. This project, titled "Enhancing Medical Image Analysis:...
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The rise in mobile internet usage especially using cellular networks demands efficient performance for web traffic, primarily made up of short TCP flows. For TCP, Cubic is the most widely deployed congestion control a...
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