IEEE

NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion

Abstract: Regular inspection of nuclear power plant components is important to guarantee safe operations. However, current practice is time consuming, tedious, and subjective, which involves human ...
IEEE

1609.2-2016 - IEEE Standard for Wireless Access in Vehicular Environments--Security Services for Applications and Management Messages

Abstract: This standard defines secure message formats and processing for use by Wireless Access in Vehicular Environments (WAVE) devices, including methods to secure WAVE management messages and ...
IEEE

Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey

Abstract: Dynamic networks are used in a wide range of fields, including social network analysis, recommender systems and epidemiology. Representing complex networks as structures changing over time ...
IEEE

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes

Abstract: Liver cancer is one of the leading causes of cancer death. To assist doctors in hepatocellular carcinoma diagnosis and treatment planning, an accurate and automatic liver and tumor ...
IEEE

Image Segmentation for MR Brain Tumor Detection Using Machine Learning: A Review

Abstract: Magnetic Resonance Imaging (MRI) has commonly been used to detect and diagnose brain disease and monitor treatment as non-invasive imaging technology. MRI produces three-dimensional images ...
IEEE

Coordinated Market Design for Peer-to-Peer Energy Trade and Ancillary Services in Distribution Grids

Abstract: A novel peer-to-peer (P2P) market design is proposed in this work for the distribution grid level. Envisioning that the grid constraints violations are the major challenge for P2P energy ...
IEEE

A Unified Virtual Power Decoupling Method for Droop-Controlled Parallel Inverters in Microgrids

Abstract: The coupling between the active and the reactive power of the droop-controlled inverter is critical in the low-voltage microgrid. The conventional virtual power-based control strategy can ...
IEEE

Safety-Critical Control With Control Barrier Function Based on Disturbance Observer

Abstract: In this article, we investigate the continuous and sampled-data safety-critical control problems with control barrier functions in the presence of time-varying disturbances. To this end, a ...
IEEE

Convolutional Neural Network-Based Radar Jamming Signal Classification With Sufficient and Limited Samples

Abstract: Jamming is a big threat to radar system survival and anti-jamming is a part of the solution. The classification of radar jamming signal is the first step toward to anti-jamming. Recently, as ...
IEEE

Waveform Design for MIMO-OFDM Integrated Sensing and Communication System: An Information Theoretical Approach

Abstract: Integrated sensing and communication (ISAC) is regarded as the enabling technology in the future 5th-Generation-Advanced (5G-A) and 6th-Generation (6G) mobile communication system. ISAC ...
IEEE

Cramming more components onto integrated circuits, Reprinted from Electronics, volume 38, number 8, April 19, 1965, pp.114 ff.

Abstract: Moore's theories about the future of transistor technology first appeared in Electronics magazine in April 1965. Termed a "law" years later by Caltech professor Carver Mead, Moore's Law went ...
IEEE

Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions

Abstract: This article presents a comprehensive overview of the digital twin technology and its capability levels, with a specific focus on its applications in the wind energy industry. It ...