A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using electrocardiograms
Deep learning has made many advances in data classification using electrocardiogram
(ECG) waveforms. Over the past decade, data science research has focused on developing …
(ECG) waveforms. Over the past decade, data science research has focused on developing …
An Approach to Recognize Efficient Deep Learning Model for Pattern Recognition
A Kaur, M Kapoor - 2024 11th International Conference on …, 2024 - ieeexplore.ieee.org
Pattern recognition using deep learning is one of the earliest and prevailing computer vision
tasks and is a frequently used research area in today's world. Deep Learning methods are …
tasks and is a frequently used research area in today's world. Deep Learning methods are …
Strategizing Crude Oil Market Dynamics: Using Deep Learning Predictive Models and the Influence of Parameter Optimization
S Kachwaha - 2024 - spectrum.library.concordia.ca
Crude oil, originating from organic material deposited millions of years ago, serves as the
raw material for products like gasoline, diesel, and jet fuel, highlighting its crucial role in …
raw material for products like gasoline, diesel, and jet fuel, highlighting its crucial role in …
[引用][C] 트랜스포머를이용한채널코딩기술연구
김수환， 이정우 - 한국통신학회학술대회논문집, 2024 - dbpia.co.kr
요 약통신 채널에서의 노이즈를 해결하기 위해서 여러 가지 코드 설계 방식이 등장하였으며
샤논 한계에 근접하는 성능을달성하기 위해 여러 연구가 수행되었다. 최근 여러 노이즈 …
샤논 한계에 근접하는 성능을달성하기 위해 여러 연구가 수행되었다. 최근 여러 노이즈 …