Results 231 to 240 of about 908,181 (301)

Probabilistic machine learning for noisy labels in Earth observation. [PDF]

Sci Rep
Kondylatos S, Bountos NI, Prapas I, Zavras A, Camps-Valls G, Papoutsis I.   +5 more
europepmc   +1 more source

A novel method based on high‐resolution imaging spectroscopy to predict fine‐root traits and the economics space of fresh tree roots

New Phytologist, EarlyView.
Maps of the estimated root nitrogen concentration in the < 0.5‐mm‐diameter classes of 20 woody species based on the imaging spectroscopy using the shortwave infrared spectral region. Summary Tree fine‐root morphological, anatomical, and chemical traits are important to reflect belowground resource acquisition strategies to support tree growth, but ...
Naoki Makita, Natsuko Tanikawa, Tatsuro Nakaji   +2 more
wiley   +1 more source

Magma chamber failure and dyke injection threshold for magma-driven unrest at Campi Flegrei caldera. [PDF]

Nat Commun
Natale J, Vitale S.
europepmc   +1 more source

Forecasting Climate Change Using a Multivariate Cointegrated System

Oxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT A cointegrated vector equilibrium correction model of key climate variables including sea surface temperature, ocean heat content, Arctic sea‐ice extent and sea‐level change is built, driven by radiative forcing in which a stochastic trend arises due to anthropogenic emissions of greenhouse gases.
Jennifer L. Castle, Jurgen A. Doornik, David F. Hendry, Luke P. Jackson   +3 more
wiley   +1 more source

Sector Classification of Unerupted Maxillary Canines: A Deep Learning‐Based Automated Framework Using Panoramic Radiographs

Orthodontics &Craniofacial Research, EarlyView.
ABSTRACT Objectives To develop a deep learning‐based framework to automate sector classification of unerupted maxillary canines (UMCs), assessing its accuracy and reliability compared to human ones. Material and Methods One thousand five hundred twenty‐eight UMCs from digital panoramic radiographs (PRs) were selected using data from the Dental ...
Marzio Galdi, Davide Cannatà, Flavia Celentano, Luigia Rizzo, Domenico Rossi, Tecla Bocchino, Genoveffa Tortora, Stefano Martina   +7 more
wiley   +1 more source

Tiny and contentious "crystal clocks" in volcanic rocks could aid early warning for eruptions. [PDF]

Proc Natl Acad Sci U S A
McDermott A.
europepmc   +1 more source

Dental Arch Expansion With In‐House Clear Aligners: An Exploratory Prospective Clinical Study on Torque, Vertical Control and Attachment Configuration

Orthodontics &Craniofacial Research, EarlyView.
ABSTRACT Objective To evaluate the short‐term efficacy of transverse dental arch expansion with in‐house aligners (IHA) by comparing planned and achieved buccolingual movements, and secondarily to explore torque expression, vertical control and the influence of attachment design/position using a contralateral within‐subject approach.
Gabriel Maia Azevedo, Raiane Machado Maia, Arthur Siqueira Calaes de Oliveira, Julia Franzot Castilho, Carlo Bosoni, Lorenzo Franchi, Bernardo Quiroga Souki   +6 more
wiley   +1 more source

Solar Flare Detection from Sudden Ionospheric Disturbances in VLF Signals via a CNN-HMM Framework. [PDF]

Sensors (Basel)
Velchev Y, Bonev B, Iliev I, Gallagher P, Petkov PZ, Nachev I.   +5 more
europepmc   +1 more source

Evaluation of Autoregressive Models for Predicting Two‐Dimensional Mandibular Landmark Displacement During Pubertal Growth

Orthodontics &Craniofacial Research, EarlyView.
ABSTRACT Objectives To predict mandibular landmark displacement during pubertal growth using autoregressive models. Materials and Methods The study included 225 subjects with complete cephalometric radiographs from ages 10 to 18. Data were split by subject into training (180; 83 males, 97 females) and test sets (45; 21 males, 24 females).
Abdullah Al Fahad, Jared Brown, Ali Walid Elhag, Azeezjamal Samad Lakhani, George Eckert, Marwa Baraka, Mohammad Al Hasan, Hakan Turkkahraman   +7 more
wiley   +1 more source

A near real-time framework for monitoring very-long-period signals at volcanoes. [PDF]

Sci Rep
Gammaldi S, Donne DD, Cantiello P, Bobbio A, Caputo T, De Cesare W, Esposito AM, Peluso R, Orazi M.   +8 more
europepmc   +1 more source