LEADER 00834nam0-22002651i-450- 001 990001300360403321 035 $a000130036 035 $aFED01000130036 035 $a(Aleph)000130036FED01 035 $a000130036 100 $a20000920d1956----km-y0itay50------ba 101 0 $aeng 200 1 $aIntegration des equations differentielles ordinaires par la méthode de Drach.$fde HEILBRONN G. 210 $aParis$cGauthier-Villars$d1956 225 1 $aMémorial des sciences mathématiques 300 $aVOLUME CXXXIII 700 1$aHeilbronn,$bGeorges$059039 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001300360403321 952 $a16-C-133$b2037$fMA1 959 $aMA1 996 $aIntegration des equations differentielles ordinaires par la méthode de Drach$9384039 997 $aUNINA DB $aING01 LEADER 03894nam 2200877z- 450 001 9910743278503321 005 20230911 035 $a(CKB)5690000000228522 035 $a(oapen)doab113927 035 $a(EXLCZ)995690000000228522 100 $a20230920c2023uuuu -u- - 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvances of Future IoE Wireless Network Technology 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2023 215 $a1 online resource (190 p.) 311 08$a3-0365-8483-8 330 $aThe aim of this reprint is to report on new scenarios, technologies, and applications related to the concept of the Internet of Everything and discuss challenges and risks. We introduced a wide range of topics related to emerging technologies. This reprint includes research on vendor-managed inventory mechanisms based on the SCADA of the Internet of Things, in-memory computing architecture for a convolutional neural network, face prediction system for missing children in a smart city safety network, anomaly electricity usage behavior in residence using an autoencoder, cloud-edge-smart IoT architecture for speeding up the deployment of neural network models, generative adversarial network and diverse feature extraction methods to enhance the classification accuracy of the tool-wear status, classifying conditions of speckles and wrinkles on the human face using a deep learning approach, repetition with learning approaches in massive machine-type communications, GDPR personal privacy security mechanism for smart home systems, and the development of an autonomous vehicle training and verification system. These articles demonstrate the rapid advances being made in the field of electronics and highlight the potential for these technologies to impact our daily lives. 606 $aHistory of engineering and technology$2bicssc 606 $aTechnology: general issues$2bicssc 610 $aadvanced metering infrastructure 610 $aanomaly detection 610 $aArtificial Neural Network 610 $aautoencoder 610 $aautonomous car 610 $acarbon reduction 610 $acomputing in memory 610 $aconsensus mechanism 610 $aconvolution neural network 610 $aCustomer-to-Business 610 $adata imbalance 610 $adeep learning 610 $adigital transformation 610 $adistributed arithmetic 610 $adonkey car 610 $aedge computing 610 $aenergy saving 610 $aenhanced machine type communication (eMTC) 610 $aensemble learning 610 $aEU general data protection regulation (GDPR) 610 $aface aging 610 $aFaceNet 610 $aGAN 610 $agenerative adversarial network 610 $aimage processing 610 $aInternet of Things 610 $aInternet of Things (IoT) 610 $ak-nearest neighbor (KNN) 610 $alightweight neural network 610 $alow-voltage users 610 $amachine learning 610 $amassive machine type communications (mMTC) 610 $amissing child 610 $aMRAM 610 $an/a 610 $aprocessing in memory 610 $arepetition 610 $aResNet 610 $aSCADA 610 $aself-driving car 610 $askin condition detection 610 $aSOT-MRAM 610 $aStyleGAN2 610 $asupport vector machine (SVM) 610 $atool wear 610 $atransfer learning 610 $avendor-managed inventory 615 7$aHistory of engineering and technology 615 7$aTechnology: general issues 906 $aBOOK 912 $a9910743278503321 996 $aAdvances of Future IoE Wireless Network Technology$93560579 997 $aUNINA