04138nam 2201045z- 450 991057688160332120220621(CKB)5720000000008359(oapen)https://directory.doabooks.org/handle/20.500.12854/84504(oapen)doab84504(EXLCZ)99572000000000835920202206d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierRecent Advances in Embedded Computing, Intelligence and ApplicationsBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (188 p.)3-0365-4246-9 3-0365-4245-0 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.Information technology industriesbicssc2D graphics acceleratoralpha-blendinganti-aliasingartificial intelligenceblock-based neural networkBresenham's algorithmcloud computingcode refactoringcollaborative filteringContiki-NGdeep learningdynamic and partial reconfigurationedge computingembedded edge computingembedded systemembedded systemsevolutionary algorithmextreme edgefield-programmable gate arrayflexiblefog computingFPGAGaussian processhardware accelerationhardware designharsh environmenthigh-level synthesisHLSinternet of things deploymentIoT gatewayIoT securityline-drawingLoRalow latencylow power consumptionMovidius VPUneural networkneuroevolutionneuromorphic processorparallelismperformance estimationpower consumptionquantisationrecommender systemsreconfigurable hardwarereinforcement learningscalabilitySDSoCsmart portsupport vector machinesSVMtrustabilityWiFiZedBoardZynqInformation technology industriesPortilla Jorgeedt1300063Otero AndresedtMujica GabrieledtPortilla JorgeothOtero AndresothMujica GabrielothBOOK9910576881603321Recent Advances in Embedded Computing, Intelligence and Applications3025391UNINA