Advances of Future IoE Wireless Network Technology

• Other Authors: Horng, Gwo-Jiun (Editor), Aripriharta, S.T (Editor), Tsou, Yao-Tung (Editor), Tsai, Chia-Wei (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Technology: general issues; History of engineering & technology; Internet of Things; SCADA; Customer-to-Business; vendor-managed inventory; Artificial Neural Network; digital transformation; convolution neural network; computing in memory; processing in memory; distributed arithmetic; MRAM; SOT-MRAM; face aging; generative adversarial network; StyleGAN2; FaceNet; missing child; energy saving; carbon reduction; advanced metering infrastructure; low-voltage users; anomaly detection; autoencoder; deep learning; transfer learning; lightweight neural network; edge computing; tool wear; data imbalance; GAN; ensemble learning; image processing; skin condition detection; ResNet; massive machine type communications (mMTC); enhanced machine type communication (eMTC); repetition; machine learning; k-nearest neighbor (KNN); support vector machine (SVM); Internet of Things (IoT); EU general data protection regulation (GDPR); consensus mechanism; self-driving car; donkey car; autonomous car; n/a
• Online Access: DOAB: download the publication; DOAB: description of the publication

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.