This project uses a 1D Convolutional Neural Network (CNN) to classify arrhythmias in ECG data. The dataset used is the MIT-BIH Arrhythmia Database, which contains ECG recordings of various arrhythmia ...

We will be using the second approach in this project due to its flexibility and superiour performance. A Convolutional Neural Network (CNN) trained on the Mel Spectrograms of the audio files. Mel ...

Today on CNN 10, we get an update on the trade war between the US and China as the two countries reach a deal to temporarily roll back tariff rates. Then we'll find out what the government of ...

The spectrogram data was augmented using geometric transformation to train a convolutional neural network (CNN) based machine learning model for object classification. The results indicate that the ...

The CNN Poll of Polls tracks President Donald Trump’s average approval and disapproval ratings in national polls. It includes the most recent results on this question which meet CNN’s ...

LightGBM 模型性能优于 1D CNN，SHAP 分析明确关键特征，增强了模型可解释性与临床实用性。 目的：本研究旨在通过整合夏普利加性解释（SHapley Additive exPlanations，SHAP）开发一个可解释的机器学习系统，用于检测特定心律失常，即室性异位搏动（室性早搏）、室上性 ...

CNN reported Sunday that the Trump administration was set to accept a plane from the Qatari royal family that will be retrofitted and used as Air Force One during the president’s second term ...

传统模型从功率谱密度（PSD）提取特征，利用随机森林（RF）分类器进行分类；深度学习模型则包括 1D 卷积神经网络（1D CNN）直接处理预处理后的 EEG 信号，以及 2D 卷积神经网络（2D CNN）对分解后的 EEG 信号生成的堆叠频谱图进行分类 。研究使用了三个不同的 ...