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Academic Articles & Research Papers
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Michael Isard • IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
(2003)
Probabilistic models have been adopted for many computer vision applications, however inference in high-dimensional spaces remains problematic. As the state-space of a model grows, the dependencies between the dimensions lead to an exponent...
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DOI: https://doi.org/10.1109/cvpr.2003.1211410
Peter Meer, B. Tordoff, P. H. S. Torr, C. Davidson et al. (2004)
ysis 1995, pages 191--208. AddisonWesley Longman, 1996. [116] R. H. Zamar. Robust estimation in the errors-in-variables model. Biometrika, 76:149-- 160, 1989. [117] Z. Zhang. Determining the epipolar geometry and its uncertainty: A review. ...
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Dora Hamad S. AlHarkan • Oman Journal of Ophthalmology
(2024)
PURPOSE
To estimate the level and determinants of knowledge, attitude, and practices (KAPs) of kindergarten teachers regarding vision and eye screening of preschool children of Qassim region of Saudi Arabia.
METHODS
As a part of a study to ...
DOAJ
Open Access (DOAJ)
DOI: 10.4103/ojo.ojo_260_23
Karl Gunnar AarsÓther, Torgeir Moan • TransNav
(2010)
The Automatic Identification System has proven itself as a valuable source for ship traffic information. Its introduction has reversed the previous situation with scarcity of precise data from ship traffic and has instead posed the reverse ...
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Open Access (DOAJ)
Violette Chiara, Sin‐Yeon Kim • Methods in Ecology and Evolution
(2023)
Abstract Computer programs for video tracking of animal movement are evolving increasingly efficient, using complex algorithms or artificial intelligence systems. Despite the consequent progress in this field, researchers still face some fu...
DOAJ
Open Access (DOAJ)
DOI: 10.1111/2041-210X.14115
You Li, Jingjing Cao, Ying Sun, Dan Song et al. • Advances in Difference Equations
(2021)
Abstract In this paper, we investigate the spatiotemporal patterns of a freshwater tussock sedge model with discrete time and space variables. We first analyze the kinetic system and show the parametric conditions for flip and Neimark–Sacke...
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Open Access (DOAJ)
DOI: 10.1186/s13662-021-03557-9
Md Golam Kibria, Md Shohel Parvez, Palash Saha, Subrata Talapatra • Heliyon
(2023)
Background: Nowadays, computer users are facing musculoskeletal disorders (MSDs) and visual symptoms. Prolonged sitting in inappropriate, awkward, and static postures on the computer workstation may cause musculoskeletal disorders (MSDs). S...
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Open Access (DOAJ)
DOI: 10.1016/j.heliyon.2023.e22179
Frank R. Burden, David Alan Winkler • Methods in molecular biology
(2008)
Bayesian regularized artificial neural networks (BRANNs) are more robust than standard back-propagation nets and can reduce or eliminate the need for lengthy cross-validation. Bayesian regularization is a mathematical process that converts ...
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DOI: https://doi.org/10.1007/978-1-60327-101-1_3
Timothée Corchia, Bertrand Bonan, Nemesio Rodríguez-Fernández, Gabriel Colas et al. • Remote Sensing
(2023)
In this work, Advanced SCATterometer (ASCAT) backscatter data are directly assimilated into the interactions between soil, biosphere, and atmosphere (ISBA) land surface model using Meteo-France’s global Land Data Assimilation System (LDAS-M...
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Open Access (DOAJ)
DOI: 10.3390/rs15174258
Juan F. Saldarriaga, Fabio Freire, Jose Freire • Chemical Engineering Transactions
(2018)
The minimum spouting velocity is one of the fundamental parameters in the application of the conical spouted bed pyrolysis, gasification and combustion, therefore it is necessary the adequate calculation and the use of a correlation with go...
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Open Access (DOAJ)
DOI: 10.3303/CET1870208
P. Jagadesh, J. Harshini, D. Arul, Solomon Oyebisi et al. • Discover Civil Engineering
(2026)
Abstract This study predicts the Air Quality Index (AQI) in the Coimbatore region using Artificial Neural Networks (ANN) to enhance air quality management and environmental science. The researchers measured six input variables over a two-ye...
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Open Access (DOAJ)
DOI: 10.1007/s44290-026-00423-z
Timothy D. Masters (1993)
This text serves as a cookbook for neural network solutions to practical problems using C++. It will enable those with moderate programming experience to select a neural network model appropriate to solving a particular problem, and to prod...
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Frauke Günther, Stefan Gerd Fritsch • The R Journal
(2010)
Artificial neural networks are applied in many situations.neuralnet is built to train multi-layer perceptrons in the context of regression analyses, i.e. to approximate functional relationships between covariates and response variables.Thus...
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Open Access
DOI: https://doi.org/10.32614/rj-2010-006
Su-Hsin Huang, Joon-Khim Loh, Jinn-Tsong Tsai, Ming-Feng Houg et al. • Chinese Journal of Cancer
(2017)
Abstract Background Few studies of breast cancer surgery outcomes have used longitudinal data for more than 2 years. This study aimed to validate the use of the artificial neural network (ANN) model to predict the 5-year mortality of breast...
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Open Access (DOAJ)
DOI: 10.1186/s40880-017-0192-9
Hojjat Adeli, Xiaomo Jiang • CRC Press eBooks
(2008)
An artificial neural network (ANN) is a functional abstraction of the biologic neural structures of the central nervous system (Aleksander and Morton 1993; Rudomin et al. 1993; Arbib 1995; Anderson 1995). It is essentially a simple mathemat...
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DOI: https://doi.org/10.1201/9781482281767-9
Daniel Alexis Zárate-Rendón, David Godoy Padilla, Samuel Pizarro Carcausto, Alberto del Águila et al. • Parasite Epidemiology and Control
(2023)
This study aimed to develop maps for Fasciola hepatica infection occurrence in dairy cattle in the districts of Matahuasi and Baños in the Peruvian central highlands. For this, a model based on the correlation between environmental variable...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.parepi.2023.e00329
Enrique González-Plaza, David García, Jesús-Ignacio Prieto • Inventions
(2023)
Stirling engines are currently of interest due to their adaptability to a wide range of energy sources. Since simple tools are needed to guide the sizing of prototypes in preliminary studies, this paper proposes two groups of simple models ...
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Open Access (DOAJ)
DOI: 10.3390/inventions8040088
Hakje Yoo, Taeyong Sim • IEEE Access
(2022)
Coarse registration is the first step in determining the accuracy of surgical navigation. The purpose of this study was to present an automated coarse registration (ACR) methodology to improve the convenience and accuracy. For this purpose,...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3218458
Vijayamanikandan Vijayarangan, Harshavardhana A. Uranakara, Francisco E. Hernández–Pérez, Hong G. Im • Energy and AI
(2025)
Using information theory, this study provides insights into how the construction of latent space of autoencoder (AE) using deep neural network (DNN) training finds a smooth (non-stiff) low-dimensional manifold in the stiff dynamical system....
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Open Access (DOAJ)
DOI: 10.1016/j.egyai.2025.100567
Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai et al. • npj Digital Medicine
(2018)
Predictive modeling with electronic health record (EHR) data is anticipated to drive personalized medicine and improve healthcare quality. Constructing predictive statistical models typically requires extraction of curated predictor variabl...
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DOI: https://doi.org/10.1038/s41746-018-0029-1
PMC: 6550175