Utilizing Deep Learning Methods for Heart Defect Identification via Electrocardiogram (ECG): A Literature Review
In recent years the application of Deep Learning is widely used in various fields of science,
such as in the military, agriculture, health and even in other fields. In the field of health many …
such as in the military, agriculture, health and even in other fields. In the field of health many …
[PDF][PDF] Neutrosophic Adaptive LSB and Deep Learning Hybrid Framework for ECG Signal Classification
AS Sakr, HM Abdulkader, A Rezk - Appl. Math, 2023 - naturalspublishing.com
This paper proposes a novel hybrid framework for ECG signal classification and privacy
preservation. The framework includes two phases: the first phase uses LSTM+ CNN with …
preservation. The framework includes two phases: the first phase uses LSTM+ CNN with …
[PDF][PDF] Bölüm 2
KHE Teşhisi, B BOZALİ, T KAYA - researchgate.net
Makine öğrenmesi, büyük miktarda veriyi analiz edip bu verilerden anlamlı sonuçlar
çıkarabilen algoritmaların bir koleksiyonudur. Bu çalışmada, Uzun Kısa Süreli Bellek (LSTM) …
çıkarabilen algoritmaların bir koleksiyonudur. Bu çalışmada, Uzun Kısa Süreli Bellek (LSTM) …