arXiv:2208.10463
공식 코드 · Papers with Code
Survey of Machine Learning Techniques To Predict Heartbeat Arrhythmias
원문 초록
Many works in biomedical computer science research use machine learning techniques to give accurate results. However, these techniques may not be feasible for real-time analysis of data pulled from live hospital feeds. In this project, different machine learning techniques are compared from various sources to find one that provides not only high accuracy but also low latency and memory overhead to be used in real-world health care systems.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
A Survey on Prompt Tuning
A Survey on Latent Reasoning
A Survey on Vision-Language-Action Models for Autonomous Driving
From Tiny Machine Learning to Tiny Deep Learning: A Survey
A Comprehensive Survey on Continual Learning in Generative Models
A Survey on World Models Grounded in Acoustic Physical Information
토론
이 논문과 연결된 포럼 글이 아직 없습니다.