Results 11 to 20 of about 267,648 (210)

pykanto: A python library to accelerate research on wild bird song

Methods in Ecology and Evolution, Volume 14, Issue 8, Page 1994-2002, August 2023., 2023
Abstract Studying the vocalisations of wild animals can be a challenge due to the limitations of traditional computational methods, which often are time‐consuming and lack reproducibility. Here, I present pykanto, a new software package that provides a set of tools to build, manage, and explore large sound databases.
Nilo Merino Recalde
wiley   +1 more source

Promoting reflective practice in an infant and early childhood training program

Infant Mental Health Journal: Infancy and Early Childhood, Volume 44, Issue 4, Page 451-465, July 2023., 2023
Abstract Reflective practices provide a supportive base through which preservice infant and early childhood teachers and allied professionals can achieve knowledge, skills, and professional dispositions to support young children and their families. This paper is a program description that describes the rationale for infusing reflective practices into ...
Caitlin Lombardi, Anne Bladen, Mary Tabb Foley, Meg Galante‐DeAngelis, Kim Larrabee, JoAnn Robinson   +5 more
wiley   +1 more source

Modeling genetic benefits and financial costs of integrating biobanking into the conservation breeding of managed marsupials

Conservation Biology, Volume 37, Issue 2, April 2023., 2023
Abstract Managed breeding programs are an important tool in marsupial conservation efforts but may be costly and have adverse genetic effects in unavoidably small captive colonies. Biobanking and assisted reproductive technologies (ARTs) could help overcome these challenges, but further demonstration of their potential is required to improve uptake. We
Lachlan G. Howell, Peter R. Mawson, Pierre Comizzoli, Ryan R. Witt, Richard Frankham, Simon Clulow, Justine K. O'Brien, John Clulow, Paul Marinari, John C. Rodger   +9 more
wiley   +1 more source

Using deep convolutional neural networks to forecast spatial patterns of Amazonian deforestation

Methods in Ecology and Evolution, Volume 13, Issue 11, Page 2622-2634, November 2022., 2022
Abstract Tropical forests are subject to diverse deforestation pressures while their conservation is essential to achieve global climate goals. Predicting the location of deforestation is challenging due to the complexity of the natural and human systems involved but accurate and timely forecasts could enable effective planning and on‐the‐ground ...
James G. C. Ball, Katerina Petrova, David A. Coomes, Seth Flaxman   +3 more
wiley   +1 more source

A fuzzy database engine for mongoDB

International Journal of Intelligent Systems, Volume 37, Issue 9, Page 5691-5724, September 2022., 2022
Abstract Big Data are a paradigm through which valuable information is achieved through the analysis of a large amount of data. The sources of these data can be varied, from data streams that will be processed in real time, to the exploitation of transactional data stored in databases.
Juan Miguel Medina, Ignacio J. Blanco, Olga Pons   +2 more
wiley   +1 more source

A deep Generative Artificial Intelligence system to predict species coexistence patterns

Methods in Ecology and Evolution, Volume 13, Issue 5, Page 1052-1061, May 2022., 2022
Abstract Predicting coexistence patterns is a current challenge to understand diversity maintenance, especially in rich communities where these patterns' complexity is magnified through indirect interactions that prevent their approximation with classical experimental approaches.
Johannes Hirn, José Enrique García, Alicia Montesinos‐Navarro, Ricardo Sánchez‐Martín, Veronica Sanz, Miguel Verdú   +5 more
wiley   +1 more source

Leveraging social media and deep learning to detect rare megafauna in video surveys

Conservation Biology, Volume 36, Issue 1, February 2022., 2022
Abstract Deep learning has become a key tool for the automated monitoring of animal populations with video surveys. However, obtaining large numbers of images to train such models is a major challenge for rare and elusive species because field video surveys provide few sightings. We designed a method that takes advantage of videos accumulated on social
Laura Mannocci, Sébastien Villon, Marc Chaumont, Nacim Guellati, Nicolas Mouquet, Corina Iovan, Laurent Vigliola, David Mouillot   +7 more
wiley   +1 more source

Asumu Fractional Derivative Applied to Edge Detection on SARS‐COV2 Images

Journal of Applied Mathematics, Volume 2022, Issue 1, 2022., 2022
Edge detection consists of a set of mathematical methods which identifies the points in a digital image where image brightness changes sharply. In the traditional edge detection methods such as the first‐order derivative filters, it is easy to lose image information details and the second‐order derivative filters are more sensitive to noise.
Gustavo Asumu Mboro Nchama, Leandro Daniel Lau Alfonso, Roberto Rodríguez Morales, Ezekiel Nnamere Aneke, Tudor Barbu   +4 more
wiley   +1 more source

Space‐Distributed Traffic‐Enhanced LSTM‐Based Machine Learning Model for COVID‐19 Incidence Forecasting

Computational Intelligence and Neuroscience, Volume 2022, Issue 1, 2022., 2022
The COVID‐19 virus continues to generate waves of infections around the world. With major areas in developing countries still lagging behind in vaccination campaigns, the risk of new variants that can cause re‐infections worldwide makes the monitoring and forecasting of the evolution of the virus a high priority. Having accurate models able to forecast
Mario Muñoz-Organero, Paolo Gastaldo
wiley   +1 more source

Enfoques de aprendizaje ante los procesos de evaluación en estudiantes de Economía: Una aplicación del Cuestionario R-SPQ-2F

Apuntes de Economía y Sociedad, 2020
En la actualidad, perfeccionar la formación de profesionales constituye un desafío para las universidades en el mundo. El aprendizaje humano es una necesidad natural y responde a varias interrogantes, ¿qué se aprende?, relacionado a los conocimientos,
Jairo Martínez, Yader Avilés
doaj   +1 more source