Results 121 to 130 of about 846,274 (324)

Characterising poroelastic materials in the ultrasonic range - A Bayesian approach

open access: yes, 2019
Acoustic fields scattered by poroelastic materials contain key information about the materials' pore structure and elastic properties. Therefore, such materials are often characterised with inverse methods that use acoustic measurements.
Dazel, Olivier   +4 more
core   +3 more sources

Autonomous Robotic Colonoscopy: A Supervised Learning Approach for Enhanced Navigation and Collision Detection

open access: yesAdvanced Intelligent Systems, EarlyView.
A novel autonomous robotic colonoscopy is introduced through supervised learning approaches. The proposed system consists of 3 degrees of freedom motorized colonoscope with an integrated navigation module that can infer a target steering point and collision probability.
Bohyun Hwang   +3 more
wiley   +1 more source

Iterative updating of model error for Bayesian inversion [PDF]

open access: yes, 2017
In computational inverse problems, it is common that a detailed and accurate forward model is approximated by a computationally less challenging substitute.
D. Calvetti   +3 more
semanticscholar   +1 more source

Phylogenomics, ecomorphological evolution, and historical biogeography in Deuterocohnia (Bromeliaceae: Pitcairnioideae)

open access: yesAmerican Journal of Botany, EarlyView.
Abstract Premise Species of Deuterocohnia (17 spp.) show extraordinary variation in elevation (0–3900 m a.s.l.) and growth forms, and many have narrow geographic distributions in the west‐central Andes and the Peru‐Chile coast. Previous research using few plastid and nuclear loci failed to produce well‐resolved or supported phylogenies.
Bing Li   +5 more
wiley   +1 more source

GastroNet: A robust attention‐based deep learning and cosine similarity feature selection framework for gastrointestinal disease classification from endoscopic images

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Diseases of the Gastrointestinal (GI) tract significantly affect the quality of human life and have a high fatality rate. Accurate diagnosis of GI diseases plays a pivotal role in healthcare systems. However, processing large amounts of medical image data can be challenging for radiologists and other medical professionals, increasing the risk ...
Muhammad Nouman Noor   +5 more
wiley   +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 Bayesian inversion supervised learning framework for the enzyme activity in graphene field-effect transistors

open access: yesMachine Learning with Applications
Graphene Field-Effect Transistors (GFETs) are gaining prominence in enzyme detection due to their exceptional sensitivity, rapid response, and capability for real-time monitoring of enzymatic reactions.
Ehsan Khodadadian   +7 more
doaj   +1 more source

Confirmation of a Non‐Transiting Planet in the Habitable Zone of the Nearby M Dwarf L 98‐59

open access: yesAstronomische Nachrichten, EarlyView.
ABSTRACT Only 40 exoplanetary systems with five or more planets are currently known. These systems are crucial for our understanding of planet formation and planet‐planet interaction. The M dwarf L 98‐59 has previously been found to show evidence of five planets, three of which are transiting.
Paul I. Schwarz   +2 more
wiley   +1 more source

Deep Learning Application for 4D Pressure Saturation Inversion Compared to Bayesian Inversion on North Sea Data

open access: yesSecond EAGE Workshop Practical Reservoir Monitoring 2019, 2019
Summary In this work we present a deep neural network inversion on map-based 4D seismic data for pressure and saturation. We present a novel neural network architecture that trains on synthetic data and provides insights into observed field seismic.
J. Dramsch   +4 more
semanticscholar   +1 more source

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