This study investigates children’s trust in two humanoid robots, Nao and iCub, through a cooperative game designed to elicit spontaneous behaviors and group dynamics. We investigate whether participants change their ...
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The fields of generative and neuro-symbolic AI have recently gained significant traction in both academia and industry, owing to their profound impact on real-world applications and their potential to achieve human-le...
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The development of Artificial Intelligence (AI) technology is used to minimize the risk of maternal disorders during pregnancy. Maternal health needs to be monitored so as not to cause problems during the baby's b...
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Machine learning models and feature selection are crucial for predicting Distributed Denial of Service (DDoS) attacks. Predicting attacks with high accuracy allows security teams to reduce attack damage. However, dive...
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Pneumonia has a significant impact on morbidity and mortality worldwide and is associated with serious diseases, such as coronavirus disease 2019 (COVID-19). Pneumonia diagnosis is typically performed by medical exper...
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This research paper presents a comprehensive analysis of the performance enhancement achieved in GraphQL application programming interfaces (APIs) when using meticulous object deduplication implementation. By integrat...
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This paper aims to investigate a non-degenerate Schrödinger equation with fractional integral type dynamic boundary control. We focus on establishing the well-posedness of the system by employing semigroup theory...
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Software that operates actively needs to be adequately managed and maintained to avoid future problems. One of the problems in the software is the existence of code smells. A code smell indicates that a problem will, ...
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Secure k-Nearest Neighbor(k-NN)query aims to find k nearest data of a given query from an encrypted database in a cloud server without revealing privacy to the untrusted cloud and has wide applications in many areas,s...
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Secure k-Nearest Neighbor(k-NN)query aims to find k nearest data of a given query from an encrypted database in a cloud server without revealing privacy to the untrusted cloud and has wide applications in many areas,such as privacy-preservingmachine elearning gand secure biometric *** solutions have been put forward to solve this challenging ***,the existing schemes still suffer from various limitations in terms of efficiency and *** this paper,we propose a new encrypt-then-index strategy for the secure k-NN query,which can simultaneously achieve sub-linear search complexity(efficiency)and support dynamical update over the encrypted database(flexibility).Specifically,we propose a novel algorithm to transform the encrypted database and encrypted query points in the *** indexing the transformed database using spatial data structures such as the R-tree index,our strategy enables sub-linear complexity for secure k-NN queries and allows users to dynamically update the encrypted *** the best of our knowledge,the proposed strategy is the first to simultaneously provide these two *** theoretical analysis and extensive experiments,we formally prove the security and demonstrate the efficiency of our scheme.
Children with language impairments during their significant developmental periods within childhood are exposed to cognitive risk, social impairments, along with language. This is difficult with children born deaf fr...
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