Department of Electronics and Communication Engineering, Amity University, Noida, India;
Department of Electronics and Communication Engineering, Amity University, Noida, India;
Department of Electronics and Communication Engineering, Amity University, Noida, India;
Department of Electronics and Communication Engineering, Amity University, Noida, India;
Heart; Support vector machines; Mel frequency cepstral coefficient; Feature extraction; Cardiac disease; Training; Stethoscope;
机译:Macler:基于机器学习的运行时硬件Trojan检测在资源受限的IOT边缘设备中
机译:机器学习辅助签名和基于启发式的Android设备中的恶魔检测
机译:便携式心电图设备在心脏远程监护中检测房颤的新算法的诊断准确性。
机译:基于机器学习的便携式设备,用于检测心脏异常
机译:iGait:用于步态异常检测的基于视觉的低成本,可靠的机器学习框架
机译:基于心肌MRI纹理评估的肺动脉瘤的辐射瘤检测:肺动脉高压的机器学习模型比较 - 心脏MRI射线
机译:基于Android设备的机器学习的客户端/服务器恶意软件检测模型