State-Driven Adaptive Deep-Unfolded PGA Algorithm for Hybrid Beamforming in MIMO-JCAS Systems. [PDF]
Liu F, Wang Z, Gao Y, Yao Z.
europepmc +1 more source
ABSTRACT Due to its subsurface nature, permafrost cannot be directly observed with the naked eye or optical remote sensing. Consequently, accurately describing its distribution and thermal state is challenging. This is especially true in vast, remote environments, where obtaining comprehensive field data is demanding or improbable.
Ria Nicholson +5 more
wiley +1 more source
A unified spatiotemporal-geometry framework for target classification and localisation in dual-static passive radar. [PDF]
Wang H, Lei Z, Liu X.
europepmc +1 more source
Polar‐low track prediction using machine‐learning methods
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang +4 more
wiley +1 more source
UTR-DynaPro: a CNN-transformer multimodal language model for decoding 5'UTR regulatory mechanisms. [PDF]
Shen H +5 more
europepmc +1 more source
NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part I: Methods
In this work we present the methods of the areal precipitation nowcasting system NowPrecip version 2. In this version a new methodology is introduced, which, although it shares philosophy and techniques with the original methodology of NowPrecip version 1, can be considered as distinct from that.
I. V. Sideris +7 more
wiley +1 more source
Forearm Radiomyography for Character and Writer Identification in Air Writing. [PDF]
Delay UH, Zhang Z, Kan EC.
europepmc +1 more source
NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part II: Verification
In this work we present the verification of the NowPrecip precipitation nowcasting systems (version 1 and version 2). Using 3.5 years of data over the period 2020–2023, their performance is compared with PySTEPS and the ICON numerical weather prediction ensemble by computing deterministic and probabilistic metrics.
A. Ntoumos +8 more
wiley +1 more source
A Lightweight Radar-Camera Fusion Deep Learning Model for Human Activity Recognition. [PDF]
Jeon M, Woo S.
europepmc +1 more source

