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Approach Based Lightweight Custom Convolutional Neural Network and Fine-Tuned MobileNet-V2 for ECG Arrhythmia Signals Classification
Research article (IEEE Access, 2024) · cited 42× · AI/ML
Approach Based Lightweight Custom Convolutional Neural Network and Fine-Tuned MobileNet-V2 for ECG Arrhythmia Signals Classification
Summary
Approach Based Lightweight Custom Convolutional Neural Network and Fine-Tuned MobileNet-V2 for ECG Arrhythmia Signals Classification is a scholarly article[1].
Key Facts
Approach Based Lightweight Custom Convolutional Neural Network and Fine-Tuned MobileNet-V2 for ECG Arrhythmia Signals Classification's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Approach Based Lightweight Custom Convolutional Neural Network and Fine-Tuned MobileNet-V2 for ECG Arrhythmia Signals Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/approach-based-lightweight-custom-convolutional-neural-network-and-fine-tuned-mobilenet-v2-for-ecg-arrhythmia-signals-cl
MLA“Approach Based Lightweight Custom Convolutional Neural Network and Fine-Tuned MobileNet-V2 for ECG Arrhythmia Signals Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/approach-based-lightweight-custom-convolutional-neural-network-and-fine-tuned-mobilenet-v2-for-ecg-arrhythmia-signals-cl.
BibTeX@misc{4ortxyz_approach-based-lightweight-custom-convolutional-neural-network-and-fine-tuned-mobilenet-v2-for-ecg-arrhythmia-signals-cl_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Approach Based Lightweight Custom Convolutional Neural Network and Fine-Tuned MobileNet-V2 for ECG Arrhythmia Signals Classification}}, year = {2026}, url = {https://4ort.xyz/entity/approach-based-lightweight-custom-convolutional-neural-network-and-fine-tuned-mobilenet-v2-for-ecg-arrhythmia-signals-cl}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Approach Based Lightweight Custom Convolutional Neural Network and Fine-Tuned MobileNet-V2 for ECG Arrhythmia Signals Classification — https://4ort.xyz/entity/approach-based-lightweight-custom-convolutional-neural-network-and-fine-tuned-mobilenet-v2-for-ecg-arrhythmia-signals-cl (retrieved 2026-05-24)
