Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH, USA;
Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH, USA;
Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH, USA;
Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH, USA;
Logic gates; Computer architecture; Microprocessors; Correlation; Machine learning; Neural networks; Training;
机译:认知无线电通信的频谱可用性预测:DCG方法
机译:深度学习卫星通信系统的辅助预测
机译:使用深度学习软件(预测一,索尼网络通信Inc.)轻松创建预测模型,用于在入院中的小型数据集的蛛网膜下腔出血结果
机译:认知航空航天通信中的频谱可用性预测:深度学习视角
机译:认知无线电频谱感测使用在线词典学习和深层分层架构
机译:使用深层学习框架(预测一索尼网络通信Inc.)的后勤功能结果预测模型进行高血压脑出血
机译:基于多功能的D2D底层通信的频谱分配
机译:基于多目标强化学习的认知空间通信深度神经网络。