...
机译:双动态推理:启用更高效,自适应和可控的深度推理
Department of Electrical and Computer Engineering Rice University Houston TX USA;
Department of Electrical and Computer Engineering Rice University Houston TX USA;
Department of Computer Science and Engineering Texas A&M University College Station TX USA;
Department of Electrical and Computer Engineering Rice University Houston TX USA;
Department of Electrical and Computer Engineering Rice University Houston TX USA;
Department of Electrical and Computer Engineering Rice University Houston TX USA;
Department of Computer Science and Engineering Texas A&M University College Station TX USA;
Department of Electrical and Computer Engineering Rice University Houston TX USA;
Dynamic scheduling; Adaptation models; Complexity theory; Computational modeling; Performance evaluation; Internet of Things; Training;
机译:基于自适应神经模糊推理系统的高效单轴和双轴太阳能跟踪系统控制器
机译:基于自适应神经模糊推理系统的高效单轴和双轴太阳能跟踪系统控制器
机译:使用分层早期出口的深度卷积神经网络有效的自适应推断
机译:太阳能转换系统的LVRT能力能够实现电力质量改进粒子群优化的三相网格连接光伏系统MPPT控制的自适应神经模糊推理系统
机译:重塑深神经网络以实现高效硬件推理
机译:迈向有效的CNN推理架构实现了传感器处理
机译:双动态推理:启用更高效,自适应和可控的深度推理