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New topic horizons for drone systems and applications

Karen Anderson, Brandi M. Shabaga, Serge Wich, Geoff Fink et al. • Drone Systems and Applications (2023)

Summary This journal (Drone Systems and Applications; DSA) conducted a targeted “horizon scan” during 2022 within our team of editors and associate editors. We asked—Which research areas currently under-represented in Drone Systems and Appl...

DOAJ Open Access (DOAJ) DOI: 10.1139/dsa-2023-0019

Retrieval of carbon dioxide vertical concentration profiles from satellite data using artificial neural networks

A. Roberto Carvalho, F. Manoel Ramos, J. Carlos Carvalho • Trends in Computational and Applied Mathematics (2010)

Abstract. In this paper, we derive vertical distributions of carbon dioxide atmospheric concentration from satellite data using a retrieval algorithm based on an artificial neural network (ANN) technique. Sensitivity studies were made to se...

DOAJ Open Access (DOAJ) DOI: 10.5540/tema.2010.011.03.0205

Neural Networks for Pattern Recognition

Albert Nigrin • The MIT Press eBooks (1993)

In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Neural Networks for Pattern Recognition takes the pioneering work in artificial neural network...

OPENALEX DOI: https://doi.org/10.7551/mitpress/4923.001.0001

Essence of Neural Networks

Robert Callan (1998)

* Introduction * Classifying Patterns * Clustering Patterns * Pattern Association * A Sample of Recurrent Networks * Some Other Network Models and A Few Practical Points * Links to Artificial Intelligence * Synthesising Symbols with Neural ...

OPENALEX

Assimilation of ASCAT Radar Backscatter Coefficients over Southwestern France

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...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs15174258

Artificial neural networks in medical diagnosis

Filippo Amato, Alberto Botana López, Eladia María Peña‐Méndez, Petr Vaňhara et al. • Journal of Applied Biomedicine (2013)

An extensive amount of information is currently available to clinical specialists, ranging from details of clinical symptoms to various types of biochemical data and outputs of imaging devices. Each type of data provides information that mu...

OPENALEX Open Access DOI: https://doi.org/10.2478/v10136-012-0031-x

The transcription factor SoxD controls neuronal guidance in the Drosophila visual system

Esteban G. Contreras, Tomás Palominos, Álvaro Glavic, Andrea H. Brand et al. • Scientific Reports (2018)

Abstract Precise control of neurite guidance during development is essential to ensure proper formation of neuronal networks and correct function of the central nervous system (CNS). How neuronal projections find their targets to generate a...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-018-31654-5

An Introduction to Neural Networks

Kevin Robert Gurney • CRC Press eBooks (2018)

Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counte...

OPENALEX DOI: https://doi.org/10.1201/9781315273570

Tailoring Mission Effectiveness and Efficiency of a Ground Vehicle Using Exergy-Based Model Predictive Control (MPC)

Robert Jane, Tae Young Kim, Emily Glass, Emilee Mossman et al. • Energies (2021)

To ensure dominance over a multi-domain battlespace, energy and power utilization must be accurately characterized for the dissimilar operational conditions. Using MATLAB/Simulink in combination with multiple neural networks, we created a m...

DOAJ Open Access (DOAJ) DOI: 10.3390/en14196049

A Comprehensive Analysis of Multilayer Community Detection Algorithms for Application to EEG-Based Brain Networks

Maria Grazia Puxeddu, Maria Grazia Puxeddu, Manuela Petti, Manuela Petti et al. • Frontiers in Systems Neuroscience (2021)

Modular organization is an emergent property of brain networks, responsible for shaping communication processes and underpinning brain functioning. Moreover, brain networks are intrinsically multilayer since their attributes can vary across...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnsys.2021.624183

Spatial analysis and risk mapping of Fasciola hepatica infection in dairy cattle at the Peruvian central highlands

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