Results 41 to 50 of about 900 (137)

A computational framework to characterize and compare the tonal repertoires of toothed whales

Methods in Ecology and Evolution, Volume 16, Issue 7, Page 1350-1368, July 2025.
Abstract Toothed whales, despite being one of the most acoustically specialized lineages of vertebrates, lack detailed vocal repertoire characterizations comparable to those of songbirds and primates. Current descriptions often lack standardization, limiting interspecies and intraspecies comparisons critical for understanding the contribution of ...
Maia Austin, Julie N. Oswald, Manali Rege‐Colt, Emma Gagne, Eric Angel Ramos, Joëlle De Weerdt, Nicola Ransome, Laura J. May‐Collado   +7 more
wiley   +1 more source

Modelos de aprendizaje automático para predecir la durabilidad del hormigón ante el ingreso de cloruros

Revista Odigos
La presente investigación tiene como objetivo analizar las aplicaciones recientes de modelos de aprendizaje automático, enmarcados dentro de la inteligencia artificial, para predecir el ingreso de cloruros en estructuras de hormigón y su impacto en la ...
Mohammadfarid Alvansazyazdi, Milton Altamirano Pazmiño, Natali Lascano Robalino, Nelson Salgado Reyes   +3 more
doaj   +1 more source

New opportunities and challenges for conservation evidence synthesis from advances in natural language processing

Conservation Biology, Volume 39, Issue 2, April 2025.
Abstract Addressing global environmental conservation problems requires rapidly translating natural and conservation social science evidence to policy‐relevant information. Yet, exponential increases in scientific production combined with disciplinary differences in reporting research make interdisciplinary evidence syntheses especially challenging ...
Charlotte H. Chang, Susan C. Cook‐Patton, James T. Erbaugh, Luci Lu, Yuta J. Masuda, István Molnár, Dávid Papp, Brian E. Robinson   +7 more
wiley   +1 more source

Expression‐based machine learning models for predicting plant tissue identity

Applications in Plant Sciences, Volume 13, Issue 1, January-February 2025.
Abstract Premise The selection of Arabidopsis as a model organism played a pivotal role in advancing genomic science. The competing frameworks to select an agricultural‐ or ecological‐based model species were rejected, in favor of building knowledge in a species that would facilitate genome‐enabled research.
Sourabh Palande, Jeremy Arsenault, Patricia Basurto‐Lozada, Andrew Bleich, Brianna N. I. Brown, Sophia F. Buysse, Noelle A. Connors, Sikta Das Adhikari, Kara C. Dobson, Francisco Xavier Guerra‐Castillo, Maria F. Guerrero‐Carrillo, Sophia Harlow, Héctor Herrera‐Orozco, Asia T. Hightower, Paulo Izquierdo, MacKenzie Jacobs, Nicholas A. Johnson, Wendy Leuenberger, Alessandro Lopez‐Hernandez, Alicia Luckie‐Duque, Camila Martínez‐Avila, Eddy J. Mendoza‐Galindo, David Cruz Plancarte, Jenny M. Schuster, Harry Shomer, Sidney C. Sitar, Anne K. Steensma, Joanne Elise Thomson, Damián Villaseñor‐Amador, Robin Waterman, Brandon M. Webster, Madison Whyte, Sofía Zorilla‐Azcué, Beronda L. Montgomery, Aman Y. Husbands, Arjun Krishnan, Sarah Percival, Elizabeth Munch, Robert VanBuren, Daniel H. Chitwood, Alejandra Rougon‐Cardoso   +40 more
wiley   +1 more source

A high‐resolution model of the grapevine leaf morphospace predicts synthetic leaves

PLANTS, PEOPLE, PLANET, Volume 7, Issue 1, Page 133-146, January 2025.
Grapevine leaves are emblematic of the strong visual associations people make with plants. Leaf shape is immediately recognizable at a glance, and therefore, this is used to distinguish grape varieties. In an era of computationally enabled machine learning–derived representations of reality, we can revisit how we view and use the shapes and forms that ...
Daniel H. Chitwood, Efrain Torres‐Lomas, Ebi S. Hadi, Wolfgang L. G. Peterson, Mirjam F. Fischer, Sydney E. Rogers, Chuan He, Michael G. F. Acierno, Shintaro Azumaya, Seth Wayne Benjamin, Devendra Prasad Chalise, Ellice E. Chess, Alex J. Engelsma, Qiuyi Fu, Jirapa Jaikham, Bridget M. Knight, Nikita S. Kodjak, Adazsofia Lengyel, Brenda L. Muñoz, Justin T. Patterson, Sundara I. Rincon, Francis L. Schumann, Yujie Shi, Charlie C. Smith, Mallory K. St. Clair, Carly S. Sweeney, Patrick Whitaker, James Wu, Luis Diaz‐Garcia   +28 more
wiley   +1 more source

Effects of trade and poaching pressure on extinction risk for cacti in the Atacama Desert

Conservation Biology, Volume 38, Issue 5, October 2024.
Abstract In this era of a global biodiversity crisis, vascular plants are facing unprecedented extinction rates. We conducted an assessment of the extinction risk of 32 species and 7 subspecies of Copiapoa, a genus endemic to Chile's fog‐dependent coastal Atacama Desert.
Angelica Villalobo‐Lopez, Carol M. Peña, Antonio Varas‐Myrik, Michiel Pillet, Paulina Jahnsen, Patricio Pliscoff, Bárbara Goettsch, Pablo C. Guerrero   +7 more
wiley   +1 more source

Using artificial neural networks and citizen science data to assess jellyfish presence along coastal areas

Journal of Applied Ecology, Volume 61, Issue 9, Page 2244-2257, September 2024.
This research provides actionable recommendations for beach management. The implementation of continuous monitoring of sea surface temperature and wind conditions will enable more accurate predictions of jellyfish distribution. Adaptive management strategies that respond dynamically to environmental data will help mitigate the impact of jellyfish ...
J. Castro‐Gutiérrez, J. C. Gutiérrez‐Estrada, J. C. Báez   +2 more
wiley   +1 more source

Algoritmos de aprendizaje automático aplicados en analíticas de aprendizaje en la Educación Superior

Revista Latinoamericana de Estudios Educativos
La incorporación de la inteligencia artificial en la educación superior ha abierto nuevas posibilidades para optimizar los procesos de enseñanza y aprendizaje.
Angel Salas-Martínez, Alberto Ramírez-Martinell, Samuel Martínez-Ramos, Sofia Isabel Fernández-Gregorio   +3 more
doaj   +1 more source

Using explainable machine learning methods to evaluate vulnerability and restoration potential of ecosystem state transitions

Conservation Biology, Volume 38, Issue 3, June 2024.
Abstract Ecosystem state transitions can be ecologically devastating or be a restoration success. State transitions are common within aquatic systems worldwide, especially considering human‐mediated changes to land use and water use. We created a transferable conceptual framework to enable multiscale assessments of state resilience and early warnings ...
John T. Delaney, Danelle M. Larson
wiley   +1 more source

Implications of the scale of detection for inferring co‐occurrence patterns from paired camera traps and acoustic recorders

Conservation Biology, Volume 38, Issue 3, June 2024.
Abstract Multifunctional landscapes that support economic activities and conservation of biological diversity (e.g., cattle ranches with native forest) are becoming increasingly important because small remnants of native forest may comprise the only habitat left for some wildlife species. Understanding the co‐occurrence between wildlife and disturbance
Juliana Vélez, William McShea, Budhan Pukazhenthi, Pablo Stevenson, John Fieberg   +4 more
wiley   +1 more source