Results 41 to 50 of about 127,490,332 (269)
Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe +4 more
wiley +1 more source
Numerical study on signatures of atmospheric convective cells in radar images of the ocean
Current and wind variations at the ocean surface can give rise to a modulation of the sea surface roughness and thus become visible in radar images. The discrimination between radar signatures of oceanic and atmospheric phenomena can be quite difficult ...
Ufermann, S., Romeiser, R.
core +2 more sources
Ionospheric sounding in support of over‐the‐horizon radar [PDF]
Precise coordinate registration for HF over‐the‐horizon (OTH) radar applications requires accurate knowledge of the ionospheric structure. In the mid‐1980s Digisonde 256 systems were deployed in the American sector to provide this information from strategically located sites via telephone lines to the user.
B. W. Reinisch +7 more
openaire +1 more source
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source
Remote Sensing of the Polar Ice Zones with HF Radar
Radars operating in the HF band are widely used for over-the-horizon remote sensing of ocean surface conditions, ionospheric studies and the monitoring of ship and aircraft traffic.
Stuart Anderson
doaj +1 more source
Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang +16 more
wiley +1 more source
Vernacular Futurism: How Persian Language Users Imagine AI
ABSTRACT Public discourse about artificial intelligence increasingly unfolds through compressed forecasts, moral warnings, and everyday speculation circulating at platform speed. This study examines how Persian language users on X construct and contest AI futures, analyzing a corpus of 4741 posts collected between January 2023 and December 2025, with ...
Arthur Asa Berger, Ehsan Shahghasemi
wiley +1 more source
Temporal stability of soil moisture and radar backscatter observed by the advanced Synthetic Aperture Radar (ASAR) [PDF]
The high spatio-temporal variability of soil moisture is the result of atmospheric forcing and redistribution processes related to terrain, soil, and vegetation characteristics.
Annett Bartsch +32 more
core +1 more source
Playing in the Dark: Invisible Chess as a Laboratory for Strategic AI
This paper shows that strategic AI evaluated on perfect‐information benchmarks can be brittle in real adversarial settings. By using invisible chess as a benchmark for hidden state and deception, it argues for stricter testing, human oversight, and more cautious governance of high‐stakes AI systems.
Paolo Ciancarini
wiley +1 more source
Multisource volumetric tomography for over‐the‐horizon radar [PDF]
This paper presents a new technique for the mapping of ionospheric electron density distributions for determining ambient HF radio propagation characteristics necessary for applications such as over‐the‐horizon‐radar (OTHR). The multisource volumetric inversion technique (MSVIT) combines information from conventional ionospheric probes used for OTHR ...
Chaitali Biswas, Helen Na
openaire +1 more source

