Results 101 to 110 of about 382 (174)
CNN‐Based Retrieval of 3D Cloud Structures Solely From Geostationary Satellite Imagery
Geophysical Research Letters, Volume 53, Issue 5, 16 March 2026.Abstract The cloud vertical structure (CVS) is important, yet operational CVS products depend on active observation or reanalysis fields, limiting high‐frequency monitoring. In this study, we propose a lightweight and satellite‐only model that reconstructs volumetric cloud masks from geostationary multispectral imagery.
Chi Yang +7 more
wiley +1 more source
Geophysical Research Letters, Volume 53, Issue 5, 16 March 2026.Abstract Uncertainty in anthropogenic forcing driven by aerosol‐cloud interactions (aci) limits our ability to infer the sensitivity of the Earth system to forcing from historical records. The driver of aci is the change in cloud droplet number concentration (Nd) due to changes in aerosol serving as cloud condensation nuclei (CCN).
Dani B. Jones +9 more
wiley +1 more source
Datasheets for machine learning sensors
AI Magazine, Volume 47, Issue 1, Spring 2026.Abstract Machine learning (ML) is becoming prevalent in embedded AI sensing systems. These “ML sensors” enable context‐sensitive, real‐time data collection and decision‐making across diverse applications ranging from anomaly detection in industrial settings to wildlife tracking for conservation efforts.
Matthew Stewart +14 more
wiley +1 more source
A reduced latency regional gap-filling method for SMAP using random forest regression. [PDF]
iScience, 2023 Wang X +7 more
europepmc +1 more source
A Novel Approach to Enhancing Spatial Resolution in Submillimeter‐Wave Ice Cloud Parameter Retrieval
Atmospheric Science Letters, Volume 27, Issue 3, March 2026.This study summarizes research that we reduce the impact of ice cloud horizontal heterogeneity in sensor footprint on retrieval. Specifically, we have mitigated the impact of the ice cloud plane parallelism assumption by improving the retrieval resolution.
Yuehao Zhuo +6 more
wiley +1 more source
Ecology and Evolution, Volume 16, Issue 3, March 2026.Türkiye lies at the intersection of three global biodiversity hotspots yet is recognised as a global plant‐diversity "dark spot." Using > 15,000 georeferenced herbarium records and spatial regression models, we examined the environmental drivers of Brassicaceae species and endemic richness across the country. Species richness increased with topographic
İlayda Dumlupınar +2 more
wiley +1 more source
Using remote sensing data within an optimal spatiotemporal model for invasive plant management: the case of Ailanthus altissima in the Alta Murgia National Park. [PDF]
Sci Rep, 2023 Baker CM +9 more
europepmc +1 more source
Work Has Changed, Has HRM? Designing for the Distributed, Fragmented, and Fluid Era
Human Resource Management, Volume 65, Issue 2, Page 305-324, March/April 2026.ABSTRACT This paper addresses the growing misalignment between traditional human resource management (HRM) systems and the realities of distributed, fluid, and fragmented work. To address this issue, we introduce the FLUID‐HRM framework—a layered design architecture that reconfigures core HRM domains (resourcing, rewards, development, relations, work ...
Černe Matej, Lamovšek Amadeja
wiley +1 more source
Laser &Photonics Reviews, Volume 20, Issue 5, 6 March 2026.This paper demonstrates a snapshot 5D and modality‐switchable lensless camera (Diffuser‐mCam), which can encode 2D intensity, multi‐spectral, polarization, and time information into a monochromatic raw data, and subsequently decode it using the compressed sensing algorithm at the sampling rate of 2.5% per channel.
Ze Zheng +11 more
wiley +1 more source
Evaluation of MODIS combined DT and DB AOD retrievals and their association with meteorological variables over Qena, Egypt. [PDF]
Environ Monit Assess, 2023 Elshora M.
europepmc +1 more source