A COMPREHENSIVE ANALYSIS OF MULTILAYER COMMUNITY DETECTION ALGORITHMS FOR APPLICATION TO EEG-BASED BRAIN NETWORKS

A Comprehensive Analysis of Multilayer Community Detection Algorithms for Application to EEG-Based Brain Networks

Modular organization is an emergent property of brain networks, responsible for shaping communication processes and underpinning brain functioning.Moreover, brain networks are intrinsically multilayer since their attributes can vary across time, subjects, frequency, or other domains.Identifying the modular Gift Cards structure in multilayer brain n

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Prospecting Information Extraction by Text Mining Based on Convolutional Neural Networks–A Case Study of the Lala Copper Deposit, China

With geological big data becoming a focus of geoscience research, the vast amount of textual geoscience data provides both opportunities and challenges for data analysis and data mining.In fact, it does not seem possible to meet the demands of the big data age through the traditional manual reading for information extraction and gaining knowledge.I

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Review of muscle modelling methods from the point of view of motion biomechanics with particular emphasis on the shoulder

Correct modelling of human muscle is very difficult issue.The digital model can Spreads be used for understandig, how the muscle works, what kinds of processes take places during their work.It can be also used for check correctness of animation synteze.Researchers have developed many methods for creating shoulder models.They differ not only in the

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