Results 121 to 130 of about 70,196 (284)

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

Bayesian inverse analysis of unsaturated slope parameters using fine-tuned deep operator network model

open access: yesYantu gongcheng xuebao
Bayesian method infers the posterior distribution of slope parameters by combining prior distribution with filed time-series monitoring data. This process requires extensive computational resources due to repeated calls to time-consuming numerical models.
JIE Honghu 1, 2, JIANG Shuihua 1, 2, WAN Jianhong 1, 2, CHANG Zhilu 1, 2, HUANG Jinsong 1, ZHOU Chuangbing 1, 2
doaj   +1 more source

Efficient Bayesian deep inversion

open access: yesJournal of Computational Dynamics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Higham, Catherine F.   +4 more
openaire   +1 more source

Revisiting a long‐overlooked skull: Implications for the distribution of Dinodontosaurus brevirostris (Kannemeyeriiformes) in the Brazilian Triassic

open access: yesThe Anatomical Record, EarlyView.
Abstract Dicynodonts (Anomodontia: Dicynodontia) were one of the main groups of terrestrial tetrapods in Permian and Triassic faunas. In Brazil, the genus Dinodontosaurus is one of the most common tetrapod taxon in the Triassic Santa Maria Supersequence. This genus has a complex taxonomic history and is represented in the Triassic of both Argentina and
Julia Lara Rodrigues de Souza   +5 more
wiley   +1 more source

A Novel Bayesian Geophysical Inversion Method to Address Loss Function Bias: The Iterative Normalizing Flows Model

open access: yesJournal of Geophysical Research: Machine Learning and Computation
Geophysical inversion plays a pivotal role in understanding the Earth's internal structure. Recently generative neural networks (GNNs), such as normalizing flows models (NFMs), have gained popularity for solving Bayesian inversion problems.
Binbin Liao   +4 more
doaj   +1 more source

Early evolution of the gular musculature and its innervation in ray‐finned fishes

open access: yesThe Anatomical Record, EarlyView.
Abstract Gular muscles are an important but often overlooked component of cranial anatomy in bony fishes. They are located on the ventral surface of the head and are derived from the mandibular and hyoid arches. We present a comprehensive review of the gular musculature and its innervation across early diverging actinopterygian lineages. By integrating
Aléssio Datovo   +4 more
wiley   +1 more source

Adaptive Genomic Divergence Across Altitudes in Capsella bursa‐pastoris

open access: yesBiological Diversity, EarlyView.
Genomic divergence was observed between high‐altitude and low‐altitude populations of Capsella bursa‐pastoris in China, consistent with an important role of ecological factors. Candidate adaptive loci associated with enhanced energy metabolism, photoprotection, and growth plasticity under altitudinal stress were identified.
Lu Liu   +4 more
wiley   +1 more source

Innovation Pathways to Carbon Efficiency: Disentangling the Effects of AI, R&D, and Clean Energy Blessings on U.S. Environmental Sustainability

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT The United States (U.S.) faces challenges in achieving its ambitious net‐zero carbon emissions target by 2050, with current emissions having fallen by less than 1% in 2024. Despite an investment of $500 billion in low‐carbon resources while holding the second‐largest green technology patent portfolio globally, it is further imperative to ...
Md Zubair Ahmad   +5 more
wiley   +1 more source

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