Accelerated susceptibility-driven positive contrast MRI reconstruction based on primal-dual optimization with minimal parameter tuning. [PDF]
Quant Imaging Med SurgShi C, Cheng J, Lu N, Deng X, Wang Q.
europepmc +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.This study presents improvements to the non‐hydrostatic version of the European Centre for Medium‐Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS), enabling stable global simulations at 1.4‐km resolution. A systematic comparison with the hydrostatic version at resolutions from 9 to 1.4 km shows that non‐hydrostatic effects emerge in ...
Jozef Vivoda +3 more
wiley +1 more source
Simulating the year to minute wind spectrum with mesoscale‐coupled large‐eddy simulations
Quarterly Journal of the Royal Meteorological Society, EarlyView.We coupled a large‐eddy simulation (resolution 50 m) to a mesoscale model (resolution 2 km), which takes boundary conditions from the ERA5 reanalysis. When using a large enough mesoscale domain (𝒪(1000 km)), the simulation setup can reproduce the observed temporal wind spectrum reasonably at all scales between one year and one minute. Furthermore, such
Bernard Postema +5 more
wiley +1 more source
Artificial Intelligence Applications in Body MRI: Opportunities and Limitations
Journal of Magnetic Resonance Imaging, EarlyView.
Haresh Naringrekar, Abdullah Alturki
wiley +1 more source
Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions
Journal of Field Robotics, EarlyView.ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos +6 more
wiley +1 more source
Optimizing Proof-of-Work for Secure Health Data Blockchain Using Compute Unified Device Architecture. [PDF]
Blockchain Healthc TodayMehammed S.
europepmc +1 more source
Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning
Journal of Field Robotics, EarlyView.ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi +3 more
wiley +1 more source
Accelerating mesh-based Monte Carlo simulations using contemporary graphics ray-tracing hardware. [PDF]
J Biomed OptYan S, Dwyer D, Kaeli DR, Fang Q.
europepmc +1 more source
Big Bird: A global dataset of birds in drone imagery annotated to species level
Remote Sensing in Ecology and Conservation, EarlyView.Drones are a valuable tool for surveying birds, but manually detecting and identifying birds in drone images is costly. We assembled a diverse dataset of 23 865 images of birds captured with 21 different drones across 11 countries. We labelled 4824 of these images, detailing the location, species, posture category, age category, and sex of 49 990 birds
Joshua P. Wilson +19 more
wiley +1 more source
Green AI architectures: Navigating the security-sustainability paradox in critical infrastructure protection. [PDF]
Environ Sci EcotechnolLee J +3 more
europepmc +1 more source