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Automated atrial fibrillation classification based on denoising stacked autoencoder and optimized deep network.

, , and . Expert Syst. Appl., (December 2023)

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Automated atrial fibrillation classification based on denoising stacked autoencoder and optimized deep network., , and . Expert Syst. Appl., (December 2023)An efficient method for Natural Language Querying on Structured Data., , and . ACL (industry), page 322-331. Association for Computational Linguistics, (2023)Rule-based system for automated classification of non-functional requirements from requirement specifications., , and . ICACCI, page 620-626. IEEE, (2016)When and how to paraphrase for named entity recognition?, , , , , , and . ACL (1), page 7052-7087. Association for Computational Linguistics, (2023)A testbed for SCADA cyber security and intrusion detection., , , and . SSIC, page 1-6. IEEE, (2015)Attention-Based Convolutional Denoising Autoencoder for Two-Lead ECG Denoising and Arrhythmia Classification., and . IEEE Trans. Instrum. Meas., (2022)Performance Improvement and Assessment of NavIC Software Receiver., , , , and . ANTS, page 338-343. IEEE, (2022)Classification of Non-functional Requirements from SRS Documents Using Thematic Roles., , and . iNIS, page 206-207. IEEE, (2016)A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys., , , , , , , , , and 134 other author(s). Comput. Biol. Medicine, (2022)Countering Data and Control Plane Attack On OLSR Using Passive Neighbor Policing and Inconsistency Identification., and . Q2SWinet, page 19-28. ACM, (2019)