Abstract: Synthetic aperture radar (SAR) imaging provides a distinct advantage in scene understanding due to its capability for all-weather data acquisition. However, in comparison to easily annotated ...

Abstract: The penetration of distributed energy resources in electrical grids has been steadily increasing in an effort to reduce greenhouse gas emissions. Inverters, as interfaces between distributed ...

Book Abstract: In 1971 Dr. Paul C. Lauterbur pioneered spatial information encoding principles that made image formation possible by using magnetic resonance signals. Now Lauterbur, "father of the MRI ...

Abstract: Hyperspectral image (HSI) classification is crucial in the remote sensing (RS) community. In recent years, Transformers have been popular in this field due to their global information ...

Abstract: In unmanned systems, integration of inertial measurement unit (IMU) with global navigation satellite systems (GNSSs) provides accurate state information when satellite signals are available.

Abstract: Existing unsupervised salient object detection (USOD) methods usually rely on low-level saliency priors, such as center and background priors, to detect salient objects, resulting in ...

Abstract: This article presents a novel structure for the recently reported divisional load-modulated balanced amplifier (DLMBA). Compared with the previously reported DLMBA architecture with dual ...

Abstract: Full-Duplex (FD) has been widely recognized as one of the core technologies to enhance the spectral efficiency (SE) in the fifth generation (5G) cellular networks. FD technology (compared to ...

Abstract: Differentiable rendering techniques have recently shown promising results for free-viewpoint video synthesis of characters. However, such methods, either Gaussian Splatting or neural ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6488907 ...

Abstract: Accurate trajectory prediction plays a crucial role in optimizing the performance of Internet of Vehicles (IoV) systems, reducing data transmission overhead, and enhancing communication ...

Abstract: In the field of geophysical exploration, the application of deep learning techniques has garnered significant attention. This letter proposes a new deep learning model for 3-D ...