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Efficient Localisation of Impact Load for Composite Structure Based on Response Similarity Search and Optimisation
BackgroundComposite materials have been extensively used in various industry fields due to their distinguishing characteristics. However,...
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Similarity-based residual life prediction method based on dynamic time scale and local similarity search
Residual useful life (RUL) prediction is the core of prognostics and health management. Similarity-based residual life prediction (SbRLP) is vital in...
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Calculating Structure Similarity via a Graph Neural Network in Population-Based Structural Health Monitoring: Part II
Population-based Structural Health Monitoring (PBSHM) aims to gain additional insights on the health of a structure when using data available across... -
Statistical Network Similarity
Graph isomorphism is a problem for which there is no known polynomial-time solution. The more general problem of computing graph similarity metrics,... -
USSL Net: Focusing on Structural Similarity with Light U-Structure for Stroke Lesion Segmentation
Automatic segmentation of ischemic stroke lesions from computed tomography (CT) images is of great significance for identifying and curing this...
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Comparative Study of Different Document Similarity Measures and Models
Document similarity refers to an approach of measuring how two or more documents look alike in terms of their content or structure. Document... -
GPU-based similarity metrics computation and machine learning approaches for string similarity evaluation in large datasets
The digital era brings up on one hand massive amounts of available data and on the other hand the need of parallel computing architectures for...
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Unsupervised deep hashing with multiple similarity preservation for cross-modal image-text retrieval
Deep hashing cross-modal image-text retrieval has the advantage of low storage cost and high retrieval efficiency by map** different modal data...
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Self-similarity feature based few-shot learning via hierarchical relation network
Few-shot learning aims to recognize new visual concepts with a small number of labeled samples. The hierarchical structure based on inter-class...
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A hybrid similarity measure-based clustering approach for mixed attribute data
In mixed attribute clustering, the similarity measure superposition is skewed due to the difference of measuring different attribute types. In this...
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Syntactic-Semantic Similarity Based on Dependency Tree Kernel
The representation of words in the vector space generated using the Word2Vec model does not capture the syntactic similarity between sentences, but...
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APSSF: Adaptive CNN Pruning Based on Structural Similarity of Filters
Convolutional neural network (CNN) pruning is a technique used to remove redundant parameters from the network. By doing so, it aims to greatly...
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Exploring Jaccard Similarity and Cosine Similarity for Develo** an Assamese Question-Answering System
This paper gives a complete study on the creation of an Assamese question-answering system (AQAS) employing two fundamental methods: cosine... -
An Improved Fusion-Based Semantic Similarity Measure for Effective Collaborative Filtering Recommendations
Semantic-enhanced recommendation systems are promising approaches to overcome the sparsity and cold-start problems, which are hard to handle using...
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DeepSIM: a novel deep learning method for graph similarity computation
AbstractGraphs are widely used to model real-life information, where graph similarity computation is one of the most significant applications, such...
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Time-optimal and Smooth Trajectory Planning for Multi-axis Motion Systems Based on ISC Similarity
Aiming at time-optimal smooth trajectory planning for multi-axis motion systems, this paper proposes a planning algorithm based on improved...
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Overlap** community detection algorithm based on similarity of node relationship
Community discovery is a vital link in the research of social networks aiming at the shortcomings of the current local extension-based community...
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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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RESET: Relational Similarity Extension for V3C1 Video Dataset
Effective content-based information retrieval (IR) is crucial across multimedia platforms, especially in the realm of videos. Whether navigating a... -
A Study on the Validity and Scope of Self-Similarity Property in Super-Resolution of Medical Images
Super-resolution is an ill-posed inverse problem. It needs a self-similarity regularization term in its formulation to solve the issue. Researchers...