Results 191 to 200 of about 17,602 (258)
Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning. [PDF]
Neuroimage, 2018 Pisharady PK +4 more
europepmc +1 more source
Remote Sensing in Ecology and Conservation, EarlyView.This study presents a semi‐automated, rule‐based image analysis pipeline to detect ice seals in aerial surveys of the Western Antarctic Peninsula during an unusually low sea ice year. By using simple hierarchical clustering instead of deep learning, the method substantially reduced human annotation effort while achieving 82% recall, identifying 758 ...
Claire McGinnity +8 more
wiley +1 more source
Sparse Bayesian learning, beamforming techniques and asymptotic analysis for massive MIMO
, 2020 Christo Kurisummoottil Thomas
openalex +1 more source
Sustainable Development, EarlyView.ABSTRACT This study develops and tests a novel prioritization framework for the Sustainable Development Goals (SDGs) under varying geographic scales (regional, sub‐regional, national), focusing on the Middle East and North Africa (MENA) region as a pilot case.
Lea Issa, Mutasem El Fadel
wiley +1 more source
A Sparse Bayesian Learning Algorithm for White Matter Parameter Estimation from Compressed Multi-shell Diffusion MRI. [PDF]
Med Image Comput Comput Assist Interv, 2017 Pisharady PK +3 more
europepmc +1 more source
Sustainable Development, EarlyView.ABSTRACT This study examines the role of social capital in designing and implementing more effective governance strategies to improve the state of the Tagus River's significantly deteriorated middle reach (Spain). We employed social network analysis (SNA) to evaluate the bonding, bridging and linking social capital and the quality of stakeholder ...
Leticia Blázquez +2 more
wiley +1 more source
Sustainable Development, EarlyView.ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi +3 more
wiley +1 more source
The performance of drones and artificial intelligence for monitoring sage‐grouse at leks
Wildlife Biology, EarlyView.Accurately monitoring sage‐grouse populations is critical for conservation, yet traditional ground‐based visual surveys face challenges in scalability and consistency, prompting the exploration of innovative drone‐based methodologies enhanced by artificial intelligence.
Lance B. McNew +2 more
wiley +1 more source
Estimating red deer Cervus elaphus population density using drones in a steep and rugged terrain
Wildlife Biology, EarlyView.Precise and accurate information about population density, crucial for wildlife management, is difficult to obtain for elusive species living in dense forests or steep and inaccessible terrain. Using unmanned aerial vehicles (UAVs), we developed a method for obtaining absolute population estimates of ungulates living in steep, rugged, and partly ...
Julie Bommerlund +3 more
wiley +1 more source
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT The analysis of spatiotemporal data is essential across many fields, such as transportation, meteorology and healthcare. Data gathered in practical applications often suffer from incompleteness due to device failures and network disruptions.
Yakun Chen +7 more
wiley +1 more source