Recent Advances in Embedded Computing, Intelligence and Applications

• Muut tekijät: Portilla, Jorge (Toimittaja), Otero, Andres (Toimittaja), Mujica, Gabriel (Toimittaja)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Aiheet: Information technology industries; 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
• Linkit: DOAB: download the publication; DOAB: description of the publication

The latest proliferation of Internet of Things deployments and edge computing combined with artificial intelligence has led to new exciting application scenarios, where embedded digital devices are essential enablers. Moreover, new powerful and efficient devices are appearing to cope with workloads...