Abstract: Fog degrades the quality of traffic remote sensing images and severely restricts their applications in scenarios such as intelligent traffic monitoring and road network planning and ...
Abstract: The deployment of extremely large-scale antenna array (ELAA) brings higher spectral efficiency and spatial degree of freedom, but triggers issues on near-field channel estimation. Inspired ...
Abstract: Autonomous underwater vehicles (AUVs) are primarily capable of withstanding prolonged periods in unstructured marine environments. These are subject to several uncertainties, including the ...
Abstract: This article explores predictor-based fractional-order sliding mode load frequency control for interconnected power systems, accounting for input delay. First, a predictor-based method is ...
Abstract: Single-event burnout (SEB) poses a significant threat to silicon carbide (SiC) MOSFETs when operating in aerospace environments, resulting in permanent functional failures of the device and ...
Abstract: Generative Artificial Intelligence (GenAI) models have innovated content creation but raise concerns about privacy, security, and regulatory compliance such as GDPR. In response, unlearning ...
Abstract: Using temporal analysis of fMRI (functional Magnetic Resonance Imaging) data, we can characterize dynamic changes in brain connectivity over time. However, dynamic temporal analysis of fMRI ...
Abstract: Counterfactual quantum communication (CQC) is an intriguing paradigm originating from quantum mechanics, enabling spatially separated parties to achieve communication tasks without the need ...
Abstract: This paper investigates practical finite-time contraction (PFTC) for impulsive systems with application to design of impulsive control for PFTC. The PFTC notions including practical ...
Abstract: The injection-locked ring oscillator is being widely used in high-speed wireline transceivers to generate multi-phase clocks. The fundamental limit lies in the tradeoff between the number of ...
Abstract: Data is a critical component in various fields, enabling researchers to perform analyses, improve decision-making, optimization, and scientific research. However, poor data quality can lead ...
Abstract: This paper focuses on representation learning for dynamic graphs with temporal interactions. A fundamental issue is that both the graph structure and the nodes own their own dynamics, and ...