IEEE8d
Efficient Image Processing via Memristive-Based Approximate In-Memory Computing
Abstract: Image processing algorithms continue to demand higher performance from computers. However, computer performance is not improving at the same rate as before. In response to the current ...
IEEE13d
Space-Air-Ground Integrated Wireless Networks for 6G: Basics, Key Technologies, and Future Trends
Abstract: With the expansive deployment of ground base stations, low Earth orbit (LEO) satellites, and aerial platforms such as unmanned aerial vehicles (UAVs) and high altitude platforms (HAPs), the ...
IEEE29d
High-frequency wearable ultrasound array belt for small animal echocardiography
Abstract: Wearable ultrasound has been widely developed for long-term, continuous imaging without the need for bulky system manipulation and repeated manual locating. To potentially lead to more ...
IEEE29d
Energy-Efficient Symbiotic UAV-Enabled MEC Networks via RIS: Joint Trajectory and Phase-Shift Control Optimization
Abstract: Unmanned Aerial Vehicles (UAVs) can be employed as short-term aerial base stations or as access points for User Equipments (UEs) to communicate with other UEs effectively. However, ...
IEEE6d
The electromagnetic theory of coaxial transmission lines and cylindrical shields
Abstract: A form of circuit which is of considerable interest for the transmission of high frequency currents is one consisting of a cylindrical conducting tube within which a smaller conductor is ...
IEEE27d
Scalable Scheduling in Industrial Time-Sensitive Networking: A Flow Graphic Distributed Scheme
Abstract: Industrial time-sensitive networking (TSN) is pivotal for ensuring real-time and reliable flow transmission. There is a growing focus on its scalable scheduling for time-critical flows ...
IEEE27d
Adaptive Prescribed-Time Filtered Control Design for a Full-State Constrained Nonlinear System
Abstract: In this article, an adaptive prescribed-time neural controller is developed for the tracking problem of a class of high-order nonlinear systems with full-state constraints. First, a ...
IEEE24d
A Transformer-Based Industrial Time Series Prediction Model With Multivariate Dynamic Embedding
Abstract: Industrial time series prediction (ITSP) is critical to the predictive maintenance system of modern industry. However, time-varying conditions and complex industrial processes cause the ...
IEEE27d
A Novel Fault-Tolerant Operation Approach for Cascaded H-Bridge Converter-Based Battery Energy Storage Systems to Avoid Overcharge
Abstract: Conventional fundamental frequency zero-sequence voltage (FFZSV) injection-based fault-tolerant operation methods cause power reversion under submodule (SM) failure conditions with low-power ...
IEEE18d
Self-Adaptive Global Feature Fusion Network With Spectral Prompt for Hyperspectral Image Classification
Abstract: Nowadays, foundation models have demonstrated exceptional performance across numerous downstream tasks. However, the effective application of these models to hyperspectral image ...
IEEE27d
Joint Source–Channel Coding: Fundamentals and Recent Progress in Practical Designs
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=5 ...
IEEE19d
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification
Abstract: Efficient extraction of spectral sequences and geospatial information is crucial in hyperspectral image (HSI) classification. Recurrent neural networks (RNNs) and Transformers excel in ...