Advances of Future IoE Wireless Network Technology

• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2023
• Descrizione fisica: 1 online resource (190 p.)
• Soggetto topico: History of engineering and technology; Technology: general issues
• Soggetto non controllato: advanced metering infrastructure; anomaly detection; Artificial Neural Network; autoencoder; autonomous car; carbon reduction; computing in memory; consensus mechanism; convolution neural network; Customer-to-Business; data imbalance; deep learning; digital transformation; distributed arithmetic; donkey car; edge computing; energy saving; enhanced machine type communication (eMTC); ensemble learning; EU general data protection regulation (GDPR); face aging; FaceNet; GAN; generative adversarial network; image processing; Internet of Things; Internet of Things (IoT); k-nearest neighbor (KNN); lightweight neural network; low-voltage users; machine learning; massive machine type communications (mMTC); missing child; MRAM; n/a; processing in memory; repetition; ResNet; SCADA; self-driving car; skin condition detection; SOT-MRAM; StyleGAN2; support vector machine (SVM); tool wear; transfer learning; vendor-managed inventory
• Sommario/riassunto: The 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.
• Titolo autorizzato: Advances of Future IoE Wireless Network Technology
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910743278503321
• Lo trovi qui: Univ. Federico II