Results 21 to 30 of about 4,308 (146)

Big Data, AI und die Freude am Ingenieurwesen Big Data, AI, and the Pleasures of Engineering

Chemie Ingenieur Technik, Volume 93, Issue 3, Page 364-372, March 2021., 2021
Gegen die allzu einmütige Begeisterung gegenüber Big Data und AI soll in diesem Beitrag ein kleiner Kontrapunkt gesetzt werden. Konkret wird nach den Auswirkungen dieser Techniken auf die Ingenieurwissenschaften gefragt. Die provokative Schlussfolgerung lautet: Big Data und AI verderben – mittelfristig – den Spaß am Ingenieurwesen.
Michael Kuhn
wiley   +1 more source

Exploring the microbiota–skin–brain axis: Chicory extract biotransformed into a postbiotic neurocosmetic enhancer of social and sensory experience

International Journal of Cosmetic Science, Volume 48, Issue 3, Page 635-643, June 2026.
Application of CHICORY EXTRACT by a consumer has the ability to evoke positive emotional responses in individuals who come into tactile contact with the treated skin. Abstract Objective Measuring the influence of cosmetic ingredients on the microbiota‐skin‐brain axis is a difficult challenge.
Stefan Hettwer, Emina Besic Gyenge, Loya Schoeffel, Brigit Suter, Barbara Obermayer   +4 more
wiley   +1 more source

Redes neuronales artificiales aplicadas al análisis de datos en ingeniería ambiental e impacto ambiental [PDF]

, 2014
Resumen: Se realiza una revisión sobre los antecedentes de las Redes Neuronales Artificiales (RNA) como método de análisis de bases de datos medioambientales, aplicado en las diversas áreas de la Ingeniería Ambiental en general y de Impacto Ambiental en ...
Luccini, Eduardo Alfredo, Masramón, E., Matar, Maricel, Masramón, E, Mechni, M., Parodi, Miguel, Mechini, M, Parodi, M., Herrera, Luis Alberto, Luccini, E., Herrera, L., Matar, M., Barrea, L.   +12 more
core  

Effects of snake fungal disease (ophidiomycosis) on the skin microbiome across two major experimental scales

Conservation Biology, Volume 39, Issue 2, April 2025.
Abstract Emerging infectious diseases are increasingly recognized as a significant threat to global biodiversity conservation. Elucidating the relationship between pathogens and the host microbiome could lead to novel approaches for mitigating disease impacts.
Alexander S. Romer, Matthew Grisnik, Jason W. Dallas, William Sutton, Christopher M. Murray, Rebecca H. Hardman, Tom Blanchard, Ryan J. Hanscom, Rulon W. Clark, Cody Godwin, N. Reed Alexander, Kylie C. Moe, Vincent A. Cobb, Jesse Eaker, Rob Colvin, Dustin Thames, Chris Ogle, Josh Campbell, Carlin Frost, Rachel L. Brubaker, Shawn D. Snyder, Alexander J. Rurik, Chloe E. Cummins, David W. Ludwig, Joshua L. Phillips, Donald M. Walker   +25 more
wiley   +1 more source

Spatially explicit predictions using spatial eigenvector maps

Methods in Ecology and Evolution, Volume 15, Issue 11, Page 2129-2140, November 2024.
Abstract In this paper, we explain how to obtain sets of descriptors of the spatial variation, which we call “predictive Moran's eigenvector maps” (pMEM), that can be used to make spatially explicit predictions for any environmental variables, biotic or abiotic. It unites features of a method called “Moran's eigenvector maps” (MEM) and those of spatial
Guillaume Guénard, Pierre Legendre
wiley   +1 more source

Productividad Empresarial #131 - Importancia Redes Neuronales Artificiales 

, 2021
En este episodio se dialoga sobre la reforma Tributaria de 2021 con sus oportunidades y amenazas, con el fin de identificar cómo afecta o beneficia a las familias y ...
Manrique Ruiz, Gustavo Adolfo
core  

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

Connectivity conservation planning through deep reinforcement learning

Methods in Ecology and Evolution, Volume 15, Issue 4, Page 779-790, April 2024.
Abstract The United Nations has declared 2021–2030 the decade on ecosystem restoration with the aim of preventing, stopping and reversing the degradation of the ecosystems of the world, often caused by the fragmentation of natural landscapes. Human activities separate and surround habitats, making them too small to sustain viable animal populations or ...
Julián Equihua, Michael Beckmann, Ralf Seppelt   +2 more
wiley   +1 more source

Computer vision model for the detection of canine pododermatitis and neoplasia of the paw

Veterinary Dermatology, Volume 35, Issue 2, Page 138-147, April 2024.
Background – Artificial intelligence (AI) has been used successfully in human dermatology. AI utilises convolutional neural networks (CNN) to accomplish tasks such as image classification, object detection and segmentation, facilitating early diagnosis.
Andrew Smith, Patrick W. Carroll, Srikanth Aravamuthan, Emil Walleser, Haley Lin, Kelly Anklam, Dörte Döpfer, Neoklis Apostolopoulos   +7 more
wiley   +1 more source

ANÁLISIS DEL PRECIO DEL CARBÓN MEDIANTE REDES NEURONALES ARTIFICIALES (RNA) [PDF]

, 2014
En el presente artículo se desarrolla el análisis aproximado para el precio FOB (Free on Board) del carbón térmico de Colombia para el periodo 2012-2020.
Velez, Ingrid Estafania, Velilla, Danilo Arturo, Giovanni Franco Sepúlveda, Danilo Arturo Velilla, Ingrid Estafania Velez, Franco Sepúlveda, Giovanni   +5 more
core   +1 more source