{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11947061","patent":{"patent_number":"US-11947061","title":"Earthquake event classification method using attention-based convolutional neural network, recording medium and device for performing the method","assignee":null,"inventors":[],"filing_date":"2020-08-13T00:00:00.000Z","publication_date":"2024-04-02T00:00:00.000Z","cpc_codes":["G06F","G06F","G06N","G06N","G06V"],"num_claims":15,"abstract":"An earthquake event classification method using an attention-based neural network includes: preprocessing input earthquake data by centering; extracting a feature map by nonlinearly converting the preprocessed earthquake data through a plurality of convolution layers having three or more layers; measuring importance of a learned feature of the nonlinear-converted earthquake data based on an attention technique in which interdependence of channels of the feature map is modeled; correcting a feature value of the measured importance value through element-wise multiply with the learned feature map; performing down-sampling through max-pooling based on the feature value; and classifying an earthquake event by regularizing the down-sampled feature value. Accordingly, main core features inherent in many/complex data are extracted through attention-based deep learning to overcome the limitations of the existing micro earthquake detection technology, thereby enabling earthquake detection even in low SNR environments."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Earthquake event classification method using attention-based convolutional neural network, recording medium and device for performing the method","description":"An earthquake event classification method using an attention-based neural network includes: preprocessing input earthquake data by centering; extracting a feature map by nonlinearly converting the pre","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11947061","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11947061","citation_suggestion":"Patentable. \"Earthquake event classification method using attention-based convolutional neural network, recording medium and device for performing the method\" (US-11947061). https://patentable.app/patents/US-11947061","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11947061","json":"https://patentable.app/api/llm-context/US-11947061","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T02:42:15.975Z"}