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Palabras clave – provistas por la editorial

high-level synthesis; HLS; SDSoC; support vector machines; SVM; code refactoring; Zynq; ZedBoard; extreme edge; embedded edge computing; internet of things deployment; hardware design; IoT security; Contiki-NG; trustability; embedded systems; collaborative filtering; recommender systems; parallelism; reconfigurable hardware; neuroevolution; block-based neural network; dynamic and partial reconfiguration; scalability; reinforcement learning; embedded system; artificial intelligence; hardware acceleration; neuromorphic processor; power consumption; harsh environment; fog computing; edge computing; cloud computing; IoT gateway; LoRa; WiFi; low power consumption; low latency; flexible; smart port; quantisation; evolutionary algorithm; neural network; FPGA; Movidius VPU; 2D graphics accelerator; line-drawing; Bresenham’s algorithm; alpha-blending; anti-aliasing; field-programmable gate array; deep learning; performance estimation; Gaussian process