Recent Advances in Embedded Computing, Intelligence and Applications
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...
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Portilla, Jorge edt Recent Advances in Embedded Computing, Intelligence and Applications Basel MDPI - Multidisciplinary Digital Publishing Institute 2022 1 electronic resource (188 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier 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 formerly reserved for the cloud, such as deep learning. These devices allow processing close to where data are generated, avoiding bottlenecks due to communication limitations. The efficient integration of hardware, software and artificial intelligence capabilities deployed in real sensing contexts empowers the edge intelligence paradigm, which will ultimately contribute to the fostering of the offloading processing functionalities to the edge. In this Special Issue, researchers have contributed nine peer-reviewed papers covering a wide range of topics in the area of edge intelligence. Among them are hardware-accelerated implementations of deep neural networks, IoT platforms for extreme edge computing, neuro-evolvable and neuromorphic machine learning, and embedded recommender systems. English Information technology industries bicssc 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 3-0365-4246-9 3-0365-4245-0 Otero, Andres edt Mujica, Gabriel edt Portilla, Jorge oth Otero, Andres oth Mujica, Gabriel oth |
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English |
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Otero, Andres Mujica, Gabriel Portilla, Jorge Otero, Andres Mujica, Gabriel |
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Otero, Andres Mujica, Gabriel Portilla, Jorge Otero, Andres Mujica, Gabriel |
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HerausgeberIn HerausgeberIn Sonstige Sonstige Sonstige |
title |
Recent Advances in Embedded Computing, Intelligence and Applications |
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Recent Advances in Embedded Computing, Intelligence and Applications |
title_full |
Recent Advances in Embedded Computing, Intelligence and Applications |
title_fullStr |
Recent Advances in Embedded Computing, Intelligence and Applications |
title_full_unstemmed |
Recent Advances in Embedded Computing, Intelligence and Applications |
title_auth |
Recent Advances in Embedded Computing, Intelligence and Applications |
title_new |
Recent Advances in Embedded Computing, Intelligence and Applications |
title_sort |
recent advances in embedded computing, intelligence and applications |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
physical |
1 electronic resource (188 p.) |
isbn |
3-0365-4246-9 3-0365-4245-0 |
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Not Illustrated |
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Recent Advances in Embedded Computing, Intelligence and Applications |
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