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Improved similarity-based residual life prediction method based on grey Markov model
Remaining useful life (RUL) prediction is a significant prognostic activity in many industrial applications. As an emerging data-driven method, the...
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Towards robust trajectory similarity computation: Representation-based spatio-temporal similarity quantification
Quantifying the trajectory similarity is a fundamental functionality in analysis tasks of spatio-temporal data. Existing classic methods compute the...
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A global relative similarity for inferring interactions of multi-agent systems
Interactions and dynamics are critical mechanisms for multi-agent systems to achieve complex intelligence through the cooperation of simple agents....
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Similarity evaluation of graphic design based on deep visual saliency features
The creativity of an excellent design work generally comes from the inspiration and innovation of its main visual features. The similarity among...
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Clique Counts for Network Similarity
Counts of small subgraphs, or graphlet counts, are widely applicable to measure graph similarity. Computing graphlet counts can be computationally...
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Semantic Similarity Functions and Their Applications
Similarity is a rich concept deeply rooted in human knowledge and perception. Interest in similarity and categorization of objects can be traced back...
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Measuring the similarity of charts in graphical statistics
Figures used in statistics and other sciences play a vital role in understanding and analyzing the problems under study. Due to the complexity and...
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Similarity measurement of the geometry variation sequence of intermediate process model
The reuse of machining process, by which the process for a new mechanical part is determined by referencing to the existing and matured processes, is...
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Dynamic time war** similarity measurement based on low-rank sparse representation
Similarity measurement of time series is one of the focus issues in time series analysis and mining. Morphology maintenance of time series is a...
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Short text similarity measurement methods: a review
Short text similarity measurement methods play an important role in many applications within natural language processing. This paper reviews the...
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Analysis and identification of drug similarity through drug side effects and indications data
BackgroundThe measurement of drug similarity has many potential applications for assessing drug therapy similarity, patient similarity, and the...
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Evaluation of land resources carrying capacity based on entropy weight and cloud similarity
Land is the foundation of human life and development, which is also the most important part of a country. The study of land carrying capacity is one...
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An Energy Saving Strategy of WSNs Based on Data Sensing and Similarity
In wireless sensor networks, energy saving is a crucial aspect. To address the issue of declining network energy consumption, we propose a clustering...
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Music similarity measurement and recommendation system using convolutional neural networks
Due to the massive and growing volume of music on the internet, and the lack of proper management on this massive volume, similarity and music...
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A fuzzy clustering ensemble selection based on active full-link similarity
In fuzzy clustering ensemble, the quality of fuzzy base clustering has an important influence on the performance of the final clustering result. Due...
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SkillSim: voice apps similarity detection
Virtual personal assistants (VPAs), such as Amazon Alexa and Google Assistant, are software agents designed to perform tasks or provide services to...
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A distributed framework for large-scale semantic trajectory similarity join
The similarity join is a common yet expensive operator for large-scale semantic trajectories analytics. In this paper, we propose
DFST , an efficient...
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Knowledge-Based Multimodal Music Similarity
Music similarity is an essential aspect of music retrieval, recommendation systems, and music analysis. Moreover, similarity is of vital interest for...
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An improved blind Gaussian source separation approach based on generalized Jaccard similarity
Blind source separation (BSS) consists of recovering the independent source signals from their linear mixtures with unknown mixing channel. The...
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Graph semantic similarity-based automatic assessment for programming exercises
This paper proposes an algorithm for the automatic assessment of programming exercises. The algorithm assigns assessment scores based on the program...
