{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/real-time-regression-analysis-with-deep","title":"Real-time regression analysis with deep convolutional neural networks","arxiv_id":"1805.02716","date":"2018-05-07","proceeding":null,"authors":["E. A. Huerta","Daniel George","Zhizhen Zhao","Gabrielle Allen"],"abstract":"We discuss the development of novel deep learning algorithms to enable\nreal-time regression analysis for time series data. We showcase the application\nof this new method with a timely case study, and then discuss the applicability\nof this approach to tackle similar challenges across science domains.","url_abs":"http://arxiv.org/abs/1805.02716v1","url_pdf":"http://arxiv.org/pdf/1805.02716v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"real-time-regression-analysis-with-deep","repo_url":"https://github.com/radhen/BebionicFingerSensor","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"time-series-1","task_name":"Time Series"},{"task_slug":"time-series","task_name":"Time Series Analysis"},{"task_slug":"regression-1","task_name":"regression"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}