Titlebook: Databases Theory and Applications; 32nd Australasian Da Miao Qiao,Gottfried Vossen,Lei Li Conference proceedings 2021 Springer Nature Switz

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Adaptive Fault Diagnosis for Data Replication Systems,of the data replication environment, the fault diagnostic effort is both tedious and laborious. This paper proposes an approach to fault diagnosis of the data replication software through deep reinforcement learning. Empirical results show that the new method can identify and deduce the software faults quickly with high accuracy.

octogenarian

The Stability Conditions of Salt Minerals,n hypergraph, sparse learning and adaptive graph are integrated into a framework. Finally, the suitable graph is obtained, which is inputted into GCN for semi-supervised learning. The experimental results of multi-type datasets show that our method is superior to other comparison algorithms in classification tasks.

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男生戴手銬

anaphylaxis

Intention Recognition from Spatio-Temporal Representation of EEG Signals,ation and classification of signal features for specific thinking activities. Inspired by the structure and function of the human brain, we construct a neural computing model to explore the critical issues in the representation and real-time recognition of the state of specific thinking activities.

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aspersion

革新

Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Livipresent a Reminder Care System to help Alzheimer patients live safely and independently in their homes. The proposed recommendation system is formulated based on a contextual bandit approach to tackle dynamicity in human activity patterns for accurate recommendations meeting user needs without their

SKIFF

微生物

Experimental Analysis of Locality Sensitive Hashing Techniques for High-Dimensional Approximate Nea are known to suffer from the notorious . for high-dimensional data. Approximate searching techniques sacrifice some accuracy while returning . results for faster performance. Locality Sensitive Hashing (LSH) is a popular technique for finding approximate nearest neighbors. There are two main benefi