Results 81 to 90 of about 1,343,954 (317)

Dissimilarity space reinforced with manifold learning and latent space modeling for improved pattern classification

Journal of Big Data, 2021
Dissimilarity representation plays a very important role in pattern recognition due to its ability to capture structural and relational information between samples.
Azadeh Rezazadeh Hamedani, Mohammad Hossein Moattar, Yahya Forghani   +2 more
doaj   +1 more source

Some new fixed point theorems for nonexpansive-type mappings in geodesic spaces [PDF]

, 2022
Rahul Shukla, Rekha Panicker
openalex   +1 more source

TractLearn: a geodesic learning framework for quantitative analysis of brain bundles

medRxiv, 2020
Deep learning-based convolutional neural networks have recently proved their efficiency in providing fast segmentation of major brain fascicles structures, based on diffusion-weighted imaging.
A. Attyé, F. Renard, M. Baciu, É. Roger, L. Lamalle, P. Dehail, H. Cassoudesalle, F. Calamante   +7 more
semanticscholar   +1 more source

Surface Consistent Seismic Hazard Assessment in the Shillong Plateau, Northeast India: A Probabilistic Approach Using Multiple Source Models and a Logic Tree Framework

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT We perform probabilistic seismic hazard analysis (PSHA) in the Shillong Plateau by clubbing the up‐to‐date earthquake data and seismotectonic properties of the study area. Twenty‐one areal seismic sources are delineated based on the updated earthquake catalog, tectonic, and fault plane solutions.
Mohd Shahabuddin, William Kumar Mohanty, Eleftheria Papadimitriou   +2 more
wiley   +1 more source

The combined geodetic network adjusted on the reference ellipsoid – a comparison of three functional models for GNSS observations

Geodesy and Cartography, 2016
The adjustment problem of the so-called combined (hybrid, integrated) network created with GNSS vectors and terrestrial observations has been the subject of many theoretical and applied works.
Kadaj Roman
doaj   +1 more source

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

Greenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira, Beatriz R. Almeida, Thiago R. C. Justino, Carlos A. S. Santos, Alex A. Santos, Fabiana Philipi   +5 more
wiley   +1 more source

High‐Throughput Geocoding to Assess Short‐Term Air Pollution in Correlation With Mortality in a French Cancer Patient Cohort

International Journal of Cancer, EarlyView.
Although chronic air pollution exposure is linked to lung cancer mortality, the short‐term effects of fluctuating air quality on overall cancer mortality remain uncertain. Here, the authors applied geomatics and machine‐learning models to retrospectively examine possible associations between 31‐day pollution exposure and mortality in a French cancer ...
Loice Pokam, Joséphine Bocquet, Nadia Hégarat, Julie Perlbarg‐Samson, Thomas Balezeau, Maud Milder, Bastien Rance, Hector Countouris, Julien Guerin, Flavien Gilles, Jean Gaudart, Nicolas Girard, Clémence Basse   +12 more
wiley   +1 more source

Infant frontal alpha asymmetry predicts social attention and transdiagnostic risk for emotional reactivity

JCPP Advances, EarlyView.
Abstract Background Differences in Frontal Alpha Asymmetry (FAA), derived from the electroencephalogram (EEG), have been associated with approach‐withdrawal behavior, although inconsistently. The current study examined how early patterns of FAA during the first 2 years of life relate to various socioemotional characteristics (at 2 years) and ultimately
Viviane Valdes, Niccola Lutri, Haerin Chung, Charles A. Nelson   +3 more
wiley   +1 more source

Empirical methods of reducing the observations in geodetic networks

Geodesy and Cartography, 2016
The paper presents empirical methodology of reducing various kinds of observations in geodetic network. A special case of reducing the observation concerns cartographic mapping.
Kadaj Roman
doaj   +1 more source

Noncommutative Integrability, Moment Map and Geodesic Flows

Annals of Global Analysis and Geometry, 2003
19 pages, minor changes, to appear in Annals of Global Analysis and ...
Bolsinov, Alexey V., Jovanović, Božidar Žarko   +1 more
openaire   +3 more sources