Results 131 to 140 of about 13,999 (261)

Robust ISAC based framework for location estimation and target detection in 6G networks. [PDF]

PLoS One
Soni L, Taneja A, Alqahtani N, Alqahtani J.   +3 more
europepmc   +1 more source

A Review of Advances in Composite Materials, Structural Optimization, and Machine Learning for Wind Turbine Blades: Challenges and Future Perspectives

Polymer Composites, EarlyView.
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci, Denizhan Yavas, Alaeddin Burak Irez   +2 more
wiley   +1 more source

An indoor radio mapping dataset combining 3D point clouds and RSSI. [PDF]

Data Brief
Milosheski L, Akiyama K, Bertalanič B, Hribar J, Shinkuma R.   +4 more
europepmc   +1 more source

Polar‐low track prediction using machine‐learning methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
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, Rune Grand Graversen, Filippo Maria Bianchi, Jiping Liu, Ruibo Lei   +4 more
wiley   +1 more source

A Broader Survey on 6G Radio Resource Management. [PDF]

Sensors (Basel)
de Faria AJ, Brito JMC, Spadoti DH, Borges RM.   +3 more
europepmc   +1 more source

Advances in Improving Energy Efficiency of Fiber-Wireless Access Networks: A Comprehensive Overview. [PDF]

Sensors (Basel), 2023
Lorincz J, Klarin Z, Begusic D.
europepmc   +1 more source

Stratospheric and tropospheric seasonality and its implications for observation requirements in numerical weather prediction

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Daily time series of zonal‐mean zonal wind (m·s−1) at 10 hPa and 60° N from 1950 to 2021 from the ERA5 reanalysis. This shows huge variability in some seasons and very little in others. We provide evidence that high‐level observations, radiosonde and satellite, are more important during the extended winter season with its very large variability ...
Bruce Ingleby, Inna Polichtchouk
wiley   +1 more source

Service-Based Architecture for 6G RAN: A Cloud Native Platform That Provides Everything as a Service. [PDF]

Sensors (Basel)
Liu G, Li N, Yuan C, Chen S, Liu X.
europepmc   +1 more source

Epistemic and aleatoric uncertainty quantification in weather and climate models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Aleatoric and epistemic uncertainties over time on weather and climate time‐scales, estimated through ensembles that sample aleatoric and epistemic uncertainty using Bayesian neural networks for parameterisations in the Lorenz 1996 model. The spread shows the 16th and 84th percentiles.
Laura A. Mansfield, Hannah M. Christensen   +1 more
wiley   +1 more source

State-of-the-Art Antenna Technology for Cloud Radio Access Networks (C-RANs)

, 2017
Waleed Tariq Sethi, Abdullah Alfakhri, Muhammad Ahmad Ashraf, Amr G. Alasaad, Saleh Alshebeili   +4 more
openaire   +2 more sources